Sailin Liu | Rechargeable Batteries | Best Researcher Award

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Dr. Sailin Liu | Rechargeable Batteries | Best Researcher Award

Postdoc researcher at The University of Adelaide, Australia.

Dr. Sailin Liu is an emerging expert in materials science, specializing in electrolyte systems and electrode/electrolyte interfacial studies for advanced energy storage technologies. He currently holds an Australian Research Council (ARC) Industry Early Career Fellowship, hosted in Australia. With a rapidly growing research profile, Dr. Liu has published 43 peer-reviewed journal articles, 30 of which were produced in the past four years. His scholarly contributions include publications in high-impact journals such as Science Advances, Nature Communications, Angewandte Chemie International Edition, Advanced Materials, and Energy & Environmental Science. Notably, 8 of his papers have been recognized as ESI Hot Papers (Top 0.1% by Web of Science), and 17 have been designated as ESI Highly Cited Papers (Top 1%). His work has been cited over 6,400 times, earning him an H-index of 33 as of April 2025. Beyond academia, Dr. Liu has engaged in translational research through a $0.6 million AUD industrial collaboration with IonDrive Technologies. His achievements underscore a dynamic and impactful career trajectory in the field of sustainable energy materials.

Publication Profile

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Educational Background

Dr. Sailin Liu’s educational background reflects a continuous and deepening focus on materials science and engineering. He began his academic journey at Central South University in China, earning a Bachelor’s degree in Mineral Processing in 2014. He continued at the same university to complete a Master’s degree in Materials Engineering in 2017, developing strong foundational skills in materials characterization and electrochemical applications. Driven by his passion for energy-related materials, Dr. Liu pursued doctoral studies at the University of Wollongong in Australia, completing his Ph.D. in Materials Engineering in 2021. His doctoral work emphasized cutting-edge electrolyte research and earned him the Outstanding PhD Thesis Award from the university. This international education has provided Dr. Liu with a solid theoretical and practical grounding in materials science, with strong interdisciplinary training bridging engineering, chemistry, and applied physics. His graduate and postgraduate research experience has shaped his specialization in electrolyte systems, battery interface mechanisms, and advanced spectroscopy techniques, laying the groundwork for a productive postdoctoral and early faculty career in energy storage research.

Professional Experience

Dr. Sailin Liu currently serves as an ARC Industry Early Career Research Fellow, a prestigious position awarded by the Australian Research Council beginning in December 2024. Prior to this, he was a postdoctoral research fellow at the University of Adelaide from September 2021 to December 2024, where he actively contributed to several high-profile research projects in energy storage, particularly on aqueous zinc-ion batteries. Dr. Liu’s earlier research experience includes significant work at the University of Wollongong, where he completed his Ph.D. in materials engineering while receiving awards for both academic excellence and impactful publication. Throughout his academic and professional career, he has demonstrated leadership in managing both government- and industry-funded projects, including acting as the Chief Investigator (CI) on ARC-funded initiatives and several projects supported by the Australian Synchrotron Access Program. His involvement in a long-term industrial partnership with IonDrive Technologies further exemplifies his ability to bridge academia and industry to tackle real-world energy challenges. With a well-rounded background combining education, postdoctoral training, and fellowship-supported research, Dr. Liu has built a strong reputation in energy materials and electrolyte interface science.

Research Interest

Dr. Liu’s primary research interests lie in the study of electrolytes and electrolyte/electrode interfaces for next-generation energy storage devices, including aqueous zinc-ion batteries, lithium-metal batteries, and other advanced systems. His work emphasizes the design, synthesis, and in-situ characterization of novel electrolyte formulations that exhibit anti-freezing properties, enhanced electrochemical stability, and improved ion transport mechanisms. Dr. Liu is particularly interested in the solvation structures of metal ions in aqueous and hybrid electrolyte systems, and the formation mechanisms of solid electrolyte interphases (SEI) at varying temperatures. By leveraging synchrotron-based spectroscopic and imaging techniques, he explores interfacial phenomena with high spatial and temporal resolution. His research also focuses on identifying molecular-level mechanisms behind electrolyte degradation and electrode surface passivation, using real-time operando and in-situ monitoring approaches. In addition to fundamental studies, Dr. Liu is engaged in applied research that contributes to the development of scalable, low-cost, and environmentally friendly energy storage technologies. His scientific curiosity is driven by the broader vision of accelerating the transition to carbon-neutral energy systems through materials innovation.

Research Skills

Dr. Sailin Liu possesses a comprehensive suite of research skills centered on materials characterization, electrochemical testing, and advanced spectroscopy for energy storage systems. He is proficient in designing and formulating high-performance aqueous and hybrid electrolytes, and has extensive experience with solid–liquid interface engineering. A major component of his skillset involves utilizing in-situ and operando synchrotron techniques, such as infrared microspectroscopy (IRM), X-ray absorption spectroscopy (XAS), micro-computed tomography (MCT), and powder diffraction (PD), to uncover dynamic interfacial processes and phase transformations in batteries. He has independently led more than ten beamline access projects at the Australian Synchrotron, highlighting his capability in complex experimental design and high-end facility operation. Dr. Liu is also skilled in electrochemical impedance spectroscopy (EIS), cyclic voltammetry, and galvanostatic cycling, enabling him to correlate materials properties with battery performance. In addition, he is experienced in data analytics, image reconstruction, and spectral deconvolution for interpreting large-scale experimental datasets. His ability to integrate chemistry, physics, and engineering concepts equips him to tackle multifaceted challenges in the field of sustainable energy technologies.

Awards and Honors

Dr. Liu has received several competitive awards and honors that reflect both his academic excellence and research innovation. In 2024, he was honored with the Executive Dean’s Excellent Early Career Research Award from the University of Adelaide’s Faculty of Sciences, Engineering and Technology. That same year, he also received the Best Contribution to Research Quality (ECR) Award from the Centre for Energy Technology. Nationally, he was awarded the prestigious AINSE Early Career Research Award in 2022 and the AINSE Postgraduate Research Award in 2020, affirming his recognition as a promising researcher in the Australian scientific community. His doctoral research was distinguished with the Outstanding PhD Thesis Award by the University of Wollongong in 2021. Additionally, he received the Best Paper Award from the Institute for Superconducting and Electronic Materials (ISEM) in 2020. These accolades underscore Dr. Liu’s dedication to producing high-impact research and contributing to the broader scientific landscape in materials and energy engineering.

Author Metrics

  • Total Citations: 6,681

  • h-index: 34
    (34 publications have been cited at least 34 times each)

  • i10-index: 38
    (38 publications have been cited at least 10 times each)

Top Noted Publication

  • An in‐depth study of Zn metal surface chemistry for advanced aqueous Zn‐ion batteries
    Journal: Advanced Materials, 32(34), 2003021
    Year: 2020
    Citations: 999

  • Electrolyte Design for In Situ Construction of Highly Zn²⁺‐Conductive Solid Electrolyte Interphase to Enable High‐Performance Aqueous Zn‐Ion Batteries under Practical Conditions
    Journal: Advanced Materials, 33(11), 2007416
    Year: 2021
    Citations: 695

  • Bio-inspired design of an in situ multifunctional polymeric solid–electrolyte interphase for Zn metal anode cycling at 30 mA cm⁻² and 30 mA h cm⁻²
    Journal: Energy & Environmental Science, 14(11), 5947–5957
    Year: 2021
    Citations: 419

  • Tuning the electrolyte solvation structure to suppress cathode dissolution, water reactivity, and Zn dendrite growth in zinc‐ion batteries
    Journal: Advanced Functional Materials, 31(38), 2104281
    Year: 2021
    Citations: 372

  • Developing cathode materials for aqueous zinc ion batteries: challenges and practical prospects
    Journal: Advanced Functional Materials, 34(5), 2301291
    Year: 2024
    Citations: 353

  • From room temperature to harsh temperature applications: Fundamentals and perspectives on electrolytes in zinc metal batteries
    Journal: Science Advances, 8(12), eabn5097
    Year: 2022
    Citations: 321

  • Anion vacancies regulating endows MoSSe with fast and stable potassium ion storage
    Journal: ACS Nano, 13(10), 11843–11852
    Year: 2019
    Citations: 272

  • An intrinsically non‐flammable electrolyte for high‐performance potassium batteries
    Journal: Angewandte Chemie International Edition, 59(9), 3638–3644
    Year: 2020
    Citations: 271

  • Understanding H₂ Evolution Electrochemistry to Minimize Solvated Water Impact on Zinc‐Anode Performance
    Journal: Advanced Materials, 34(45), 2206754
    Year: 2022
    Citations: 240

  • Solvent control of water O−H bonds for highly reversible zinc ion batteries
    Journal: Nature Communications, 14(1), 2720
    Year: 2023
    Citations: 224

Conclusion

Dr. Sailin Liu exemplifies the qualities of a forward-thinking and impactful materials scientist with a growing international reputation in energy storage research. His work is characterized by a rigorous approach to understanding electrolyte behavior and interfacial dynamics, supported by state-of-the-art characterization tools and multidisciplinary collaboration. With over 6,400 citations, an H-index of 33, and a consistent output of ESI-recognized papers, Dr. Liu’s scholarly impact is both broad and deep. His leadership in multiple competitive research projects—including ARC-funded fellowships, Australian Synchrotron access programs, and a long-term industrial collaboration—demonstrates his capacity to deliver innovation across academic and applied contexts. He brings together a rare combination of experimental expertise, theoretical insight, and practical problem-solving. As he continues to push the frontiers of energy storage materials and interface science, Dr. Liu is well-positioned to make substantial contributions to sustainable energy solutions in Australia and globally. His trajectory reflects a commitment to excellence in research, mentorship, and collaboration that will shape the field for years to come.

 

Sylvester Sadekla | Post-Harvest Technology | Best Researcher Award

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Mr. Sylvester Sadekla | Post-Harvest Technology | Best Researcher Award

Sylvester Sadekla at Technical University of Munich, Germany.

Mr. Sylvester Sadekla is a results-oriented and adaptable Research Associate with extensive experience in data-driven analysis, strategic project management, and interdisciplinary collaboration. His career spans academic institutions and applied research centers, where he has utilized data science and econometric tools to inform strategic decision-making and policy development. With a strong foundation in mathematics, finance, and data analytics, he has led and contributed to projects focused on migration studies, sustainability, market research, and technology adoption. Sylvester is highly proficient in statistical software such as Stata, Python, SQL, R, and Qualtrics, enabling him to deliver actionable insights and automate complex workflows. His analytical approach is matched by his capacity for stakeholder engagement and team leadership, making him a key contributor to cross-functional research environments. As a public speaker and presenter, he has demonstrated excellence, most notably by winning the Best Presenter Award at the 10th Hans Eisenmann Forum in 2024. Driven by a passion for continuous improvement, Sylvester thrives in dynamic settings that require critical thinking, data interpretation, and solution-oriented strategies. He is currently pursuing a Ph.D. in Economics at the Technical University of Munich, where he is expanding his expertise in sustainability, consumer behavior, and data analytics in economic research.

Publication Profile

Scopus

Educational Details

  • Technical University of Munich (Germany)
    Ph.D. in Economics (July 2023 – Present)
    Sylvester is currently pursuing his doctoral research focusing on sustainability economics, market adoption behavior, and strategic economic modeling.

  • Massachusetts Institute of Technology (USA)
    Certificate in Data Science and Machine Learning (June – October 2021)
    Acquired advanced skills in machine learning algorithms, data visualization, and predictive analytics.

  • Brainnest, Bremen (Germany)
    Certificate in Business Analysis (February – April 2022)
    Gained training in business intelligence, stakeholder analysis, and agile project development.

  • University of Ghana (Ghana)
    M.Phil. in Finance (August 2015 – July 2017)
    Focused on financial modeling, investment analysis, and empirical research methods.

  • University of Cape Coast (Ghana)
    B.Sc. in Mathematics and Statistics (August 2005 – May 2009)
    Built a strong quantitative foundation in mathematical modeling and statistical analysis.

Professional Experience

Mr. Sylvester Sadekla has over a decade of progressively responsible experience in research, analysis, and project management. At the Technical University of Munich, he currently works as a Research Associate, leading quantitative studies on sustainability, technology adoption, and consumer behavior using SQL, Stata, and Python. He designs and manages databases, delivers stakeholder reports, and presents insights at academic forums.

Previously, at the Centre for Migration Studies in Accra, he served as a Research Project Manager, where he managed budgets, reduced project delays, and implemented cost-saving strategies. His leadership improved project efficiency by 30%, and he introduced automated data workflows to enhance reporting accuracy.

As a Business Analyst at AkwaabaLab for Experimental Economics, he provided key insights from experimental data that influenced policy implementation and secured additional funding. He was instrumental in building automated dashboards and aligning project goals with stakeholder expectations.

Earlier in his career, he worked with the Ghana Mathematics Society as a Regional Project Manager, where he led STEM outreach, increased student engagement, and established impactful regional programs. This breadth of experience demonstrates his capacity for high-level research, data-driven strategy, and collaborative execution across diverse sectors.

Research Interest

Sylvester Sadekla’s research interests lie at the intersection of sustainability economics, data science, and technology adoption. He is particularly focused on exploring how firms and consumers make strategic decisions under uncertainty, how sustainability features influence market behavior, and how data analytics can inform economic development strategies. His current doctoral research investigates adoption behaviors of sustainable innovations across industries, leveraging statistical modeling, econometric techniques, and consumer analytics.

He is also deeply engaged in migration studies, having managed projects exploring the socio-economic impacts of mobility patterns in Ghana. His previous work in experimental economics has involved behavioral insights, decision-making frameworks, and real-world policy interventions.

Another key interest is the application of machine learning and AI in economic forecasting, which he has pursued through certifications and applied research. He is passionate about uncovering insights that support evidence-based policymaking, improve efficiency in program delivery, and align with global sustainability goals.

Sylvester actively seeks opportunities to bridge data science and economics for social impact, particularly within developing contexts. His interdisciplinary approach integrates theoretical rigor with practical application, ensuring relevance and impact in both academic and applied research settings.

Research Skills

Mr. Sylvester Sadekla brings a comprehensive and well-honed skill set to his research roles. He is highly proficient in statistical and data analysis tools including Stata, R, SQL, SPSS, Python, and Qualtrics, enabling robust data processing, hypothesis testing, and econometric modeling. His training in machine learning and AI allows him to develop predictive models and conduct large-scale data analysis for strategic insights.

He excels in data visualization and dashboard development, utilizing tools such as Power BI and Excel to communicate complex findings clearly and persuasively. In project management, he is adept at resource planning, timeline management, and cross-functional collaboration, improving research delivery through automation and agile methodologies.

Sylvester’s qualitative research capabilities complement his quantitative skills, particularly in stakeholder engagement, customer analysis, and market research. He is experienced in building and managing databases for behavioral and economic research, with an emphasis on sustainability and adoption metrics.

His strong communication and reporting skills ensure that insights are shared effectively with academic audiences, policymakers, and corporate stakeholders. Overall, his technical, analytical, and organizational abilities make him a highly effective contributor to interdisciplinary research teams.

Awards and Honors

Sylvester Sadekla’s academic and professional contributions have been recognized through notable awards. In April 2024, he was honored with the Best Presenter Award at the 10th Hans Eisenmann Forum, held at the Technical University of Munich, Weihenstephan. This award reflects his exceptional ability to communicate complex research insights with clarity and impact, particularly in the field of sustainability and economic innovation.

His achievements in project leadership at the Centre for Migration Studies were also acknowledged internally, where he successfully led initiatives that improved efficiency, lowered costs, and enhanced research outcomes. These contributions earned him commendation for excellence in research management.

In earlier roles, he received recognition for his leadership and educational outreach while at the Ghana Mathematics Society, where he led regional programs that increased STEM engagement and school participation.

These accolades not only highlight Sylvester’s academic strengths but also his dedication to impactful research communication, innovation, and leadership. He continues to strive for excellence in both academic performance and public engagement, committed to delivering high-quality research outputs that support institutional and societal advancement.

Author Metrics

  • Total Publications: 2 (as listed)

  • Total Citations: 17 (all from the 2020 paper)

  • Documents citing: 17

  • h-index: 1 (indicating 1 paper has at least 1 citation)

Top Noted Publication

Title: Sustainable postharvest processing technologies for dried food commodities and firm-level adoption: A critical review
Journal: Journal of Stored Products Research
Year: 2025
Citations: 0 (as it is newly published in 2025)
Summary: This review critically examines sustainable postharvest processing technologies for dried food commodities, such as grains, legumes, and fruits. It highlights the environmental, economic, and social impacts of existing drying methods and introduces emerging innovations like solar dryers, hybrid systems, and energy-efficient mechanical dryers. The paper also assesses the determinants of technology adoption at the firm level, identifying barriers such as financing, awareness, and infrastructure. The study suggests a policy framework to enhance the uptake of sustainable technologies in developing economies.

Title: Aid to Africa’s agriculture towards building physical capital: Empirical evidence and implications for post-COVID-19 food insecurity
Journal: World Development Perspectives
Year: 2020
Citations: 17
Summary: This empirical paper investigates how foreign aid to agriculture in Africa contributes to building physical capital, such as machinery, infrastructure, and irrigation systems. Using panel data from multiple African countries, the study finds that well-targeted aid significantly improves physical capital accumulation and productivity. The paper further discusses the implications of these findings in the context of COVID-19, emphasizing the role of aid in mitigating food insecurity and supporting recovery strategies for African agriculture.

Conclusion

Mr. Sylvester Sadekla is a dynamic and resourceful researcher whose career is defined by interdisciplinary expertise, data-driven decision-making, and strategic project leadership. With a solid academic foundation in mathematics, finance, and economics, and extensive experience in applied research, he brings a unique blend of analytical precision and practical execution to every endeavor. His commitment to leveraging data for sustainable development and technological innovation is evident in his ongoing doctoral research, previous roles, and recognition from academic communities.

Proficient in modern data analysis tools and project management methodologies, Sylvester is well-positioned to contribute to the evolving landscape of economic research and policy development. He excels in collaborative environments and consistently demonstrates strong communication, problem-solving, and stakeholder engagement skills.

As he continues his Ph.D. journey at the Technical University of Munich, Sylvester aims to further expand his research on consumer behavior, market adoption, and sustainable innovation. With a passion for continuous learning and impactful research, he aspires to drive evidence-based policies and foster inclusive growth in both academic and policy-oriented settings.

Shaliza Alwi | Sustainable Development | Best Researcher Award

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Assoc. Prof. Dr. Shaliza Alwi | Sustainable Development | Best Researcher Award

Assoc. Prof. Dr. Shaliza Alwi | Sustainable Development – Lecturer at MARA University of Technology, Malaysia.

Assoc. Prof. Dr. Shaliza Alwi is an experienced academician and finance professional with over two decades of teaching, research, and academic leadership. She currently serves as an Associate Professor at a government-linked company (GLC) and was previously a lecturer at Taylor’s University, where she held several key academic and administrative roles. Dr. Shaliza has been instrumental in curriculum development, program coordination, and student mentorship at the undergraduate and postgraduate levels. Her expertise spans across financial management, investment, multinational finance, Islamic banking, derivatives, and insurance practices. She has supervised numerous postgraduate students and actively contributed to quality assurance processes such as AACSB accreditation and internal audits. With a solid grounding in finance and a commitment to academic excellence, she is also engaged in various community outreach projects, including entrepreneurship training programs targeted at Malaysia’s B40 community. She has collaborated with industry partners such as CIMB Islamic and Daikin Sdn Bhd, fostering academic-industry linkages. As a member of prestigious international professional bodies, Dr. Shaliza continues to contribute to the development of finance education and financial literacy both in academic settings and community platforms. Her contributions are marked by a passion for inclusive growth, innovative pedagogy, and strategic academic development.

Publication Profile

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Educational Details

Dr. Shaliza Alwi holds a diverse academic background in business and finance. She earned her Bachelor of Business Administration (Hons) with a major in Finance from Universiti Utara Malaysia (UUM) in 1996. She then pursued her postgraduate studies internationally, completing her Master of Business Administration (MBA) at Charles Sturt University, Australia in 2001, with a focus on General Management. Furthering her specialization in finance, she obtained a Ph.D. in Finance from the Arshad Ayub Graduate Business School, Universiti Teknologi MARA (UiTM), Shah Alam. Her doctoral research focused on the theme “Interlocking Directorates and Firm Sustainable Growth within Industry Settings”, contributing valuable insights to corporate governance and strategic financial management. This blend of local and international education has equipped her with a strong theoretical foundation, cross-cultural academic exposure, and critical insights into financial systems and corporate sustainability. Her academic qualifications not only reflect her deep understanding of business and finance but also serve as the basis for her impactful teaching and research contributions in higher education institutions across Malaysia.

Professional Experience

Assoc. Prof. Dr. Shaliza Alwi has over 20 years of professional experience in academia. From August 2014 to June 2023, she served as a Lecturer at Taylor’s University, where she was actively involved in teaching, research supervision, curriculum development, and community engagement. She led various finance modules such as Derivatives, Islamic Banking, Corporate Finance, and Insurance Practices, and developed specialized content for the Actuarial Studies Program. She also mentored first-year students and supervised both undergraduate and postgraduate research projects. In addition to her teaching responsibilities, she served as Stream Coordinator for the Finance Cluster, participated in multiple committees, and supported AACSB accreditation processes. She worked closely on interdisciplinary projects, including consultancy assignments with Daikin Sdn Bhd, and advised student teams in national and international competitions. Currently, she is an Associate Professor at a Government-Linked Company (GLC), where she continues her role in postgraduate teaching, supervision, and academic assessments. Her contributions span administrative leadership, student engagement, academic audits, and institutional quality assurance—underscoring her comprehensive role in shaping finance education in Malaysia.

Research Interest

Dr. Shaliza Alwi’s research interests lie at the intersection of corporate finance, interlocking directorates, firm sustainability, and Islamic finance. Her Ph.D. dissertation explored the dynamics of board interconnectivity and sustainable growth within industry frameworks, offering a strategic perspective on corporate governance. She has a keen interest in analyzing how financial networks and decision-making structures influence long-term organizational performance. Additionally, she engages in applied research in investment analysis, portfolio management, and multinational finance, aligning academic theories with real-world industry challenges. Dr. Shaliza is also interested in financial literacy, entrepreneurial development, and Islamic banking models, particularly in the context of Malaysia’s socio-economic development. Her community-based projects reflect her commitment to enhancing financial education among underserved groups such as the B40 community. Through consultancy projects and academic collaborations, she has expanded her research into market analysis, insurance systems, and business innovation. She also integrates interdisciplinary approaches into finance research, working with partners across business, actuarial science, and policy studies. Her work contributes to academic literature while fostering practical applications that support both public and private sector growth.

Research Skills

Dr. Shaliza Alwi possesses a robust set of research skills acquired through years of academic and applied research. She is proficient in using Bloomberg terminals for financial data analysis and has hands-on experience with Stata, EndNote, and Microsoft Office tools for statistical analysis, referencing, and research documentation. Her academic research involves both quantitative and qualitative methodologies, enabling her to conduct empirical studies across diverse financial domains. She is experienced in developing course materials, conducting assessment evaluations, and leading curriculum design for finance-related programs. Dr. Shaliza is skilled in guiding postgraduate research, particularly in corporate finance and governance-related topics. Her role as an AACSB internal auditor and assessor has further strengthened her capabilities in quality assurance and compliance-based research. She has also applied her research skills in consultancy projects, such as a market analysis for Daikin Sdn Bhd, and in evaluating entrepreneurship initiatives under corporate social responsibility programs. Through her training in Train the Trainer (HRDF-certified), she effectively transfers research knowledge to diverse learner groups. These competencies enable her to bridge theory with practice, ensuring her research maintains both academic rigor and practical relevance.

Awards and Honors

Assoc. Prof. Dr. Shaliza Alwi has been recognized for her excellence in teaching and innovation. She was honored in 2018 with the “e-learning Superhero Competition” award by Taylor’s University, highlighting her exceptional contributions to digital learning and curriculum delivery. As a Module Leader, her leadership in e-learning content and online pedagogy significantly improved student engagement and academic outcomes. Beyond institutional recognition, she has actively mentored student teams that have excelled in various national and international competitions, such as the KUIZ Pelaburan PNB Malaysia (Champion, 2015), CIMB Trading Challenge, CIMA-EBLM Business Challenge (2020), CFA Institute Research Challenge (2020/21), and CME Group University World Trading Challenge (2020–2022). These accolades reflect her strong mentorship and commitment to student success. She is also a Certified Train the Trainer professional under HRDF Malaysia since 2006, which underscores her contribution to training and professional development. Her memberships in prestigious bodies such as the Asian Institute of Chartered Bankers and Bursa Malaysia’s Knowledge Centre further affirm her professional stature and recognition in the field of finance.

Author Metrics

  • Total Citations: 409

  • h-index: 9

  • i10-index: 8

These metrics reflect Dr. Alwi’s research influence and academic impact, particularly in the areas of fintech, consumer behavior, and educational workload studies.

Top Noted Publication

  • Title: Time Element in the Construct of Special Education Teacher Workload in Malaysia
    Authors: MNN Irma Shayana Bte Samaden, Irfah Najihah, Shaliza Alwi, Rabiatul Munirah
    Journal: Turkish Journal of Computer and Mathematics Education
    Year: 2021
    Citations: 82

  • Title: An Empirical Study on the Customers’ Satisfaction on Fintech Mobile Payment Services in Malaysia
    Authors: S. Alwi, R.M. Alpandi, M.N.M. Salleh, I. Najihah
    Journal: International Journal of Advanced Science and Technology
    Year: 2019
    Citations: 68

  • Title: Fintech as Financial Inclusion: Factors Affecting Behavioral Intention to Accept Mobile E-Wallet during Covid-19 Outbreak
    Authors: S. Alwi, M.N.M. Salleh, R.M. Alpandi, F.F. Ya’acob, S.M.M. Abdullah
    Journal: Turkish Journal of Computer and Mathematics Education
    Year: 2021
    Citations: 59

  • Title: Factors Affecting Savings Habits within Millennials in Malaysia: Case Study on Students of Taylor’s University
    Authors: S. Alwi, I.Z. Amir Hashim, M.S. Ali
    Journal: Proceedings of the Fourth Asia-Pacific Conference on Global Business, Economics, Finance and Social Sciences
    Year: 2015
    Citations: 59

  • Title: Consumer Acceptance and Adoption towards Payment-Type Fintech Services from Malaysian Perspective
    Authors: S. Alwi, M.N.M. Salleh, S.E.A. Razak, N.M. Naim
    Journal: International Journal of Advanced Science and Technology
    Year: 2019
    Citations: 22

Conclusion

Assoc. Prof. Dr. Shaliza Alwi embodies the qualities of an accomplished academic leader, finance educator, and community advocate. Her multifaceted career reflects a deep commitment to excellence in teaching, research, mentorship, and social responsibility. With a strong academic foundation in finance, enhanced by international education and interdisciplinary exposure, she has effectively bridged academic theory with practical insights. Her contributions span program development, AACSB accreditation, academic audits, and postgraduate supervision, reinforcing her role as a key driver of educational quality and innovation. Equally committed to societal impact, Dr. Shaliza has initiated and led numerous financial literacy and entrepreneurial programs for Malaysia’s B40 community, creating meaningful engagement beyond the classroom. Through her work with industry partners and professional bodies, she continues to influence both academic and financial landscapes. Whether guiding students, auditing programs, or delivering community training, Dr. Shaliza consistently demonstrates leadership, empathy, and academic rigor. Her vision for inclusive and sustainable growth—through education, research, and outreach—positions her as a respected thought leader in the Malaysian academic and financial sectors.

 

Sardar Ali | Biomedical Engineering | Best Researcher Award

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Dr. Sardar Ali | Biomedical Engineering | Best Researcher Award

Dr. Sardar Ali | Biomedical Engineering – Shantou University, China.

Dr. Sardar Ali is a dedicated microbiologist and biomedical researcher with over a decade of academic and professional experience in microbiology, molecular biology, and biomedical engineering. He is currently a Postdoctoral Fellow at Shantou University Medical College, China, where he explores neuroregenerative therapies involving electrical stimulation and platelet-rich plasma. His Ph.D., also from Shantou University, focused on the community structure and antimicrobial activity of bacteria in aquaculture ponds, showcasing his expertise in environmental and marine microbiology. Dr. Ali has held various research, teaching, and clinical roles in Pakistan and China, including positions as a lecturer, microbiologist, and medical technologist. His scientific interests span from antimicrobial resistance and bacterial community profiling to functional genomics and metagenomics. Recognized for his scholarly excellence, he has earned prestigious awards such as the Silk Road Scholarship and the Shantou High-level Talent Certificate. He actively contributes to international research collaborations and has presented at numerous international workshops and symposia. Dr. Ali combines a strong foundation in laboratory techniques with a global research perspective, making significant contributions to the fields of microbial ecology, environmental health, and biomedical sciences.

Publication Profile

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Educational Details

Dr. Sardar Ali has pursued an extensive academic journey in the field of microbiology and biomedical sciences. He is currently completing a postdoctoral fellowship (2023–2025) in Biomedical Engineering at Shantou University Medical College, Guangdong, China. Prior to this, he earned a Ph.D. in Biochemistry and Molecular Biology (Microbiology) from Shantou University (2018–2022), with a dissertation focused on the microbial ecology of aquaculture systems and their antimicrobial dynamics. He holds an M.Phil. in Microbiology from Kohat University of Science and Technology, Pakistan (2010–2012), where he worked on antibiotic resistance in Pseudomonas aeruginosa isolated from burn patients. His undergraduate education includes a B.Sc. (Hons) in Microbiology from the same university (2004–2008). In addition to his scientific credentials, Dr. Ali pursued a Bachelor of Education (2012–2014) from Sarhad University of Science and Technology, Pakistan, reflecting his dedication to teaching and academic development. His multidisciplinary education provides a robust foundation for both research and pedagogical endeavors in microbiology, biomedical sciences, and health education.

Professional Experience

Dr. Sardar Ali brings a rich portfolio of professional experience, blending academic research, clinical microbiology, and teaching. His career began as a technologist at City Medical Laboratory in Peshawar, Pakistan (2007–2010), where he gained hands-on diagnostic expertise. He then worked as a microbiologist at AB Mauri, a multinational company in Pakistan (2010), and subsequently at Liaqat Institute of Medical Sciences, Batkhela (2011–2015), handling clinical microbiology and infection control. In academia, Dr. Ali served as a lecturer at Oxford Education Academy, Batkhela (2016–2017), teaching biology and microbiology. His international research experience was significantly expanded during his doctoral studies and current postdoctoral fellowship at Shantou University Medical College, China. He also played a major role in a project funded by the Li Ka Shing Foundation on the transfer of antibiotic resistance genes among water-borne bacteria. Additionally, he has supervised a master’s student in biomedical engineering, indicating his mentorship capabilities. This blend of clinical, academic, and industrial roles illustrates Dr. Ali’s versatile and impactful contribution to the fields of microbiology and biomedical research.

Research Interest

Dr. Sardar Ali’s research interests are interdisciplinary, spanning microbiology, molecular biology, and environmental health sciences. He is particularly focused on metagenomics, functional genomics, and microbial ecology. His current postdoctoral research explores the use of electrical stimulation and platelet-rich plasma for nerve regeneration, combining biomedical engineering with cellular biology. During his Ph.D., Dr. Ali investigated the community structure and antimicrobial properties of bacteria in aquaculture ponds, reflecting his deep interest in marine microbiology and environmental microbiota. Earlier, in his M.Phil. research, he analyzed extended-spectrum beta-lactamases and antibiotic susceptibility in Pseudomonas aeruginosa from burn patients, which laid the groundwork for his ongoing exploration of antimicrobial resistance. He also has academic interests in medical microbiology, bacteriology, plant pathology, and ecology. Through participation in international symposia and cross-border collaborations, Dr. Ali consistently seeks to bridge environmental and clinical microbiology to address global health challenges.

Research Skills

Dr. Sardar Ali is proficient in a wide array of microbiological, molecular, and biochemical techniques. His core competencies include DNA extraction and purification from diverse biological samples, gene cloning, RT-PCR for gene knockdown studies, and detection of functional genes. He is skilled in agarose gel electrophoresis, polymerase chain reaction (PCR), and various microbial culturing techniques. He routinely performs microbiological assays including antibiotic susceptibility testing using disk diffusion, well diffusion, and MIC methods. Dr. Ali has experience in isolating secondary metabolites using advanced instruments such as HPLC, MS, NMR, and CLSM. He is trained in blotting techniques, protein quantification, and fluorescence microscopy. His technical toolkit also includes essential laboratory operations like autoclaving, centrifugation, pH monitoring, lyophilization, and spectrophotometry. His work in stereoscopy and microbial mineralization further complements his experimental profile. These skills collectively empower Dr. Ali to conduct high-level research in both environmental and medical microbiology.

Awards and Honors

Dr. Sardar Ali has received several prestigious awards and honors recognizing his academic excellence and research contributions. Most notably, he was awarded the “Silk Road Scholarship,” one of the most prestigious Chinese government scholarships, for his doctoral studies. This recognition reflects his scholarly merit and international competitiveness. In 2024, he received the Shantou High-level Talent Certificate from Shantou HR Social Security in Guangdong, China, underscoring his research impact and professional standing. Dr. Ali was a principal participant in a research project funded by the Li Ka Shing Foundation titled “The transfer of antibiotic resistance genes and virulence factor between water-borne bacteria and their potential risks on global health” (2020–2023). His excellence in scientific communication was acknowledged with a 3rd prize for an outstanding report at the 16th postgraduate academic forum of Shantou University in December 2020. These awards not only validate his research achievements but also position him as a promising scientist in global microbiological research.

Author Metrics

  • Total Citations: 189

  • h-index: 5

  • i10-index: 4

Explanation:

  • The h-index of 5 means Dr. Ali has at least 5 publications that have been cited 5 or more times.

  • The i10-index of 4 indicates that 4 of his publications have been cited at least 10 times.

These metrics reflect Dr. Ali’s emerging impact in fields such as aquaculture microbiology, antimicrobial agents, and sustainable biotechnology.

Top Noted Publication

1. Bacterial degradation of pyrene: Biochemical reactions and mechanisms.

Journal: International Biodeterioration & Biodegradation
Year: 2021
Citations: 53
Summary: This study explores the metabolic pathways and enzymatic mechanisms underlying pyrene biodegradation by bacteria, highlighting potential applications in environmental bioremediation.

2. Cave Microbes as a Potential Source of Drugs Development in the Modern Era.

Journal: Microbial Ecology
Year: 2022
Citations: 47
Summary: This review investigates cave-derived microbes as novel reservoirs for drug discovery, particularly in light of increasing antibiotic resistance.

3. Toxic effects of heavy metals on crustaceans and associated health risks in humans: a review.

Journal: Environmental Chemistry Letters
Year: 2024
Citations: 46
Summary: This comprehensive review highlights the toxicological impact of heavy metals on crustaceans and evaluates related risks to human health through aquatic food chains.

4. Bacterial community structure and bacterial isolates having antimicrobial potential in shrimp pond aquaculture.

Journal: AMB Express
Year: 2022
Citations: 21
Summary: This original research identifies the bacterial diversity in shrimp ponds and characterizes antimicrobial-producing isolates with potential applications in aquaculture health management.

5. Integrated biorefinery approach for bioconversion of fish manure to volatile fatty acids and its valorization by Schizochytrium sp for docosahexaenoic acid, squalene, and carotenoids production.

Journal: Journal of Water Process Engineering
Year: 2024
Citations: 6
Summary: This paper presents a sustainable biorefinery strategy using fish waste to produce high-value compounds such as DHA and squalene via microbial fermentation.

Conclusion

Dr. Sardar Ali is a dynamic and accomplished microbiologist whose career reflects a strong integration of clinical expertise, academic research, and international collaboration. With a multidisciplinary academic foundation from Pakistan and China, he has developed robust competencies in molecular biology, microbial ecology, and environmental microbiology. His scientific inquiries are motivated by real-world challenges such as antimicrobial resistance and nerve regeneration. Recognized through prestigious scholarships and awards, Dr. Ali has demonstrated a consistent commitment to research excellence and global health. His active engagement in international symposia, cross-institutional projects, and student supervision signifies his leadership and collaborative spirit. Equipped with a broad range of technical skills, from genetic analysis to chemical profiling of microbial metabolites, he stands as a valuable contributor to biomedical and microbiological research communities. As he advances in his postdoctoral work, Dr. Ali continues to explore innovative solutions for medical and ecological problems, positioning himself at the forefront of interdisciplinary microbiology and biomedical engineering.

 

Tongtong Che | Brain Image Analysis | Best Researcher Award

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Dr. Tongtong Che | Brain Image Analysis | Best Researcher Award

Dr. Tongtong Che | Brain Image Analysis – Postdoctor at Beijing Normal University, China.

Dr. Tongtong Che is a postdoctoral researcher specializing in medical image analysis, with a robust background in deep learning and medical imaging registration techniques. Born on June 24, 1995, she currently works at the State Key Laboratory of Cognitive Neuroscience and Learning at Beijing Normal University. With extensive training in biological science, medical engineering, and information science, Dr. Che has developed innovative algorithms for brain image registration, an area crucial for neuroimaging studies and disease diagnostics. She has published extensively in top-tier journals such as Medical Image Analysis and IEEE Transactions on Image Processing, with her work widely recognized for its technical sophistication and clinical relevance. In addition to academic accomplishments, she gained industry experience through a research internship at Shanghai United Imaging Intelligence. Dr. Che is also the recipient of the 2024 Best Researcher Award at the International Conference on Neurology and Neuro Disorders, highlighting her growing international impact. Her research continues to bridge the gap between advanced computational methodologies and clinical applications in neuroscience and medical imaging. Dr. Che’s ultimate aim is to contribute to the development of intelligent systems that enhance healthcare diagnostics and treatment planning.

Publication Profile

Scopus

Educational Details

Dr. Tongtong Che holds a Doctor of Engineering degree in Biological Science and Medical Engineering from Beihang University, awarded in June 2024. During her doctoral studies, she focused on medical image processing, particularly brain image registration techniques using deep learning frameworks. Prior to this, she earned a Master of Science degree from the School of Information Science and Engineering at Shandong Normal University in 2020. Her master’s work involved image processing and algorithmic optimization, laying the foundation for her later work in medical imaging. Dr. Che began her academic journey at Shandong Women’s University, where she obtained a Bachelor of Science in Information Science and Technology in 2017. Across all her academic stages, she consistently demonstrated excellence in computational modeling, medical data analysis, and interdisciplinary collaboration. Her educational path reflects a progressive deepening of expertise, from general information technology to highly specialized medical image analysis, aligning her with the forefront of intelligent healthcare research. This solid educational background empowers her to address complex challenges in brain mapping and deformable image registration, particularly for pediatric and neurological conditions.

Professional Experience

Dr. Tongtong Che currently serves as a postdoctoral researcher at the State Key Laboratory of Cognitive Neuroscience and Learning at Beijing Normal University, a role she has held since September 2020. In this capacity, she leads research on brain image registration—a foundational process for constructing accurate brain templates and understanding developmental brain changes. Her work involves developing deep learning algorithms for multi-spectral and 3D image registration. Prior to this, Dr. Che completed a research internship at Shanghai United Imaging Intelligence in 2019, where she optimized brain image registration algorithms in a high-tech industrial setting. These experiences have endowed her with both academic depth and practical proficiency in translating computational models to real-world applications. She has collaborated with leading experts in the field and co-authored multiple high-impact journal articles. Her professional portfolio demonstrates a rare balance between theoretical innovation and applied research, supported by strong interdisciplinary collaboration. Through her combined academic and industry experience, Dr. Che has emerged as a key contributor to advancing image analysis technologies that support clinical neuroscience and brain development research.

Research Interest

Dr. Tongtong Che’s research interests are centered on medical image processing and analysis, with particular expertise in brain image registration and deep learning-based methods for biomedical applications. She is passionate about developing computational tools that enable more accurate and efficient analysis of medical images, which are critical in diagnostic and prognostic procedures. Her primary research explores group-wise and deformable registration techniques using hierarchical and graph-based models. She also works on template construction and multilevel modeling for pediatric brain imaging, especially under complex deformations associated with growth and neurodevelopment. Dr. Che’s secondary interests include radiomics, image segmentation, and multimodal image fusion. Her interdisciplinary approach leverages artificial intelligence and neuroinformatics to uncover structural and functional patterns in medical images. Dr. Che aims to integrate machine learning with biomedical imaging to support precision medicine, early disease detection, and patient-specific treatment planning. With the increasing availability of medical data and advances in AI, she is committed to pushing the boundaries of image-guided healthcare technologies.

Research Skills

Dr. Tongtong Che possesses a broad and advanced set of research skills at the intersection of computer science and biomedical engineering. Her core technical expertise includes medical image registration, deep neural networks, generative adversarial networks (GANs), and optical flow estimation. She is proficient in implementing and optimizing complex image processing pipelines, particularly for multi-spectral and 3D brain MRI datasets. Dr. Che has extensive programming experience in Python and MATLAB, with a strong command of deep learning frameworks such as TensorFlow and PyTorch. She is skilled in statistical modeling, data visualization, and algorithm evaluation for reproducibility and robustness. Her methodological innovations include the development of AMNet and DGR-Net, two state-of-the-art architectures for deformable registration. In addition, she has successfully applied her skills in collaborative environments, including academic labs and industrial R&D settings. Dr. Che is also adept at preparing manuscripts for peer-reviewed journals and conference presentations, demonstrating a high level of scientific communication. Her research toolkit positions her well for future developments in image-based diagnostics and personalized medicine.

Awards and Honors

Dr. Tongtong Che has been recognized for her exceptional research contributions with the Best Researcher Award at the 5th Edition of the International Conference on Neurology and Neuro Disorders in 2024. This award acknowledges her innovative work in brain image registration and its implications for neurodevelopmental and neurological studies. In the same year, she secured funding from the China Postdoctoral Science Foundation under the prestigious Postdoctoral Innovation Talent Support Program (BX20240039). Her funded project focuses on constructing dynamic developmental brain maps for children aged 0 to 18 years with complex anatomical deformations. The grant, worth 640,000 yuan, supports her research from June 2024 to June 2026 and reflects national-level recognition of her scientific potential and leadership. These honors highlight Dr. Che’s impact and visibility in the medical imaging and neuroscience communities. She continues to advance her work at the cutting edge of biomedical engineering with an aim to improve both the scientific understanding of brain development and the clinical tools available for pediatric diagnosis.

Author Metrics

  • Total Publications: 11

  • Total Citations: 136

  • h-index: 8

  • g-index: 10

  • i10-index: 5

Top Noted Publication

  • Nested Hierarchical Group-wise Registration with a Graph-based Subgrouping Strategy for Efficient Template Construction

    • Year: 2025

    • Citation Count: N/A

  • AMNet: Adaptive Multi-level Network for Deformable Registration of 3D Brain MR Images

    • Year: 2023

    • Citation Count: N/A

  • SDOF-GAN: Symmetric Dense Optical Flow Estimation with Generative Adversarial Networks

    • Year: 2021

    • Citation Count: N/A

  • DGR-Net: Deep Group-wise Registration for Multi-spectral Images

    • Year: 2019

    • Citation Count: N/A

  • Deep Group-wise Registration for Multi-spectral Images from Fundus Images

    • Year: 2019

    • Citation Count: N/A

  • A Framework for Brain Template Generation by Hierarchical Group-wise Image Registration

    • Year: 2023

    • Citation Count: N/A

  • SymReg-GAN: Symmetric Image Registration with Generative Adversarial Networks

    • Year: 2021

    • Citation Count: N/A

  • Image Matting with Deep Gaussian Process

    • Year: 2022

    • Citation Count: N/A

  • Regional Radiomics Similarity Networks (R2SNs) in the Human Brain: Reproducibility, Small-world Properties and a Biological Basis

    • Year: 2021

    • Citation Count: N/A

  • Regional Radiomics Similarity Networks Reveal Distinct Subtypes and Abnormality Patterns in Mild Cognitive Impairment

    • Year: 2022

    • Citation Count: 14

Conclusion

Dr. Tongtong Che is a rising researcher in the field of medical image analysis, with a strong foundation in deep learning and biomedical engineering. Her academic path from undergraduate to postdoctoral research has been marked by consistent excellence, culminating in numerous high-impact publications and prestigious research grants. She bridges the gap between algorithm development and clinical application, contributing significantly to the evolving landscape of neuroimaging and precision diagnostics. Her work not only advances the theoretical framework of image registration but also has tangible applications in understanding brain development and supporting clinical decision-making. With a growing international profile and a solid research portfolio, Dr. Che is well-positioned to lead interdisciplinary collaborations and tackle complex challenges in healthcare technologies. Her future endeavors aim to enhance diagnostic imaging tools and foster AI-driven innovations for personalized medicine. Dr. Che exemplifies the next generation of researchers driving innovation at the intersection of technology, medicine, and data science.

Al-kazafy Sabry | Nanotechnology | Best Researcher Award

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Prof. Al-kazafy Sabry | Nanotechnology | Best Researcher Award

Professor at National Research Centre, Egypt.

Prof. Al-Kazafy Sabry is a distinguished Egyptian entomologist specializing in pesticide science and integrated pest management. With over two decades of research and academic service, he currently serves as a Professor in the Pests and Plant Protection Department at the National Research Centre, Egypt. His academic foundation is rooted in agricultural sciences with a strong focus on pesticides, and his career spans impactful contributions in both theoretical and applied entomology. Prof. Sabry is widely recognized for his work in biological control, nanotechnology in pest management, and the development of sustainable agricultural practices. He has actively participated in numerous international conferences and workshops and holds editorial roles in several reputable scientific journals. With a robust publication record, high citation metrics, and significant contributions to global agricultural sciences, he continues to influence the field through research leadership, scientific communication, and academic mentorship.

Publication Profile

Scopus

Orcid

Google Scholar

Education

Prof. Al-Kazafy Sabry obtained his Bachelor of Science in Agricultural Science (Pesticides) from the Faculty of Agriculture, Zagazig University in 1995, graduating with a “Very Good” distinction. He continued at the same institution to earn his Master of Science degree in 2001, further deepening his expertise in pesticide science. His academic journey culminated in a Ph.D. in Agricultural Science (Pesticides) from Zagazig University in 2007. Throughout his academic training, Prof. Sabry focused on developing innovative approaches to pest control and sustainable agriculture. His education laid a solid foundation for his future research on nanotechnology applications and biological pest control methods. His degrees were all conferred by one of Egypt’s premier agricultural institutions, which has a strong reputation for producing leading agricultural scientists and researchers.

Professional Experience

Prof. Sabry began his professional career as a Research Assistant at the Plant Protection Research Institute, Agricultural Research Centre (ARC), Egypt, from 1997 to 2001. He was subsequently promoted to Assistant Researcher in the same institute, serving from 2001 to 2004. In 2004, he joined the Pests and Plant Protection Department at the National Research Centre (NRC), where he held the title of Assistant Researcher until 2007. He advanced through the academic ranks, becoming a Researcher (2007–2012), Assistant Professor (2013), and finally a full Professor in October 2018. Over the years, Prof. Sabry has taken part in numerous national and international research projects, supervised research teams, and served as a speaker and participant in various scientific conferences. His role at NRC also includes training young researchers and contributing to governmental agricultural policies and programs.

Research Interest

Prof. Al-Kazafy Sabry’s research interests lie primarily in entomology, with a particular focus on integrated pest management, biological control, and the application of nanotechnology in pest suppression. His studies explore innovative approaches such as using nanobioinsecticides, entomopathogenic fungi, and nematodes for effective pest control. He has contributed significantly to developing environmentally friendly alternatives to conventional pesticides and promoting sustainable agricultural practices. His recent work involves the application of photonic crystals in insects and the development of nanoformulations for pesticide delivery. Additionally, he is keenly interested in postharvest pest management, climate change impacts on pest behavior, and the formulation of bioactive compounds to control pests in economically important crops like olives, corn, and sugar beet.

Research Skills

Prof. Sabry possesses extensive expertise in various advanced research methodologies, including pesticide formulation, nanotechnology applications, and biological control techniques. He has practical skills in developing and testing nanoformulations, culturing entomopathogenic fungi and nematodes, and evaluating pesticide efficacy under laboratory and field conditions. His proficiency extends to project management, scientific writing, and peer reviewing for high-impact journals. As an editor and reviewer for several international publications, he is experienced in critically analyzing scientific literature and research proposals. Additionally, he is skilled in interdisciplinary collaboration and training early-career researchers. His technical abilities in designing and executing entomological experiments have significantly contributed to the advancement of pest control strategies in Egypt and beyond.

Awards and Honors

Throughout his career, Prof. Al-Kazafy Sabry has received national and international recognition for his scientific contributions. Although specific awards are not detailed, his appointment to editorial boards of more than 20 international journals attests to his expertise and influence in agricultural and environmental sciences. He is a respected member of numerous professional societies, including the Entomological Society of Egypt and the Egyptian Society for Biological Pest Control. His work has earned him a reputation as a key contributor to pest management innovation in the Middle East. Furthermore, his involvement in multi-institutional research projects funded by international bodies highlights the global relevance and impact of his research initiatives.

Author Metrics

  • Total Citations: 784

  • h-index: 14

  • i10-index: 19

These metrics indicate that Dr. Sabry has at least 14 publications each cited 14 times or more, and 19 publications with at least 10 citations each.

Dr. Sabry is a Professor in the Pests and Plant Protection Department at the National Research Centre in Egypt. He has authored over 50 research papers in international journals, contributed to more than 15 research projects, and published 9 books and chapters with international publishers.

Top Noted Publication

1. Title: Nanotechnology for insect pest control
Year: 2014
Citations: 233

2. Title: Biosafety of a biopesticide and some pesticides used on cotton crop against green lacewing, Chrysoperla carnea (Stephens) (Neuroptera: Chrysopidae)
Year: 2011
Citations: 52

3. Title: Relative toxicity of some modern insecticides against the pink bollworm, Pectinophora gossypiella (Saunders) and their residues effects on some natural enemies
Year: 2014
Citations: 46

4. Title: Synthetic fertilizers; role and hazards
Year: 2015
Citations: 43

5. Title: Impact of spinosad and buprofezin alone and in combination against the cotton leafworm, Spodoptera littoralis under laboratory conditions
Year: 2011
Citations: 37

Conclusion

Prof. Al-Kazafy Sabry is a highly accomplished entomologist with a solid academic and professional foundation in pesticide science and integrated pest management. His contributions to biological control, nanotechnology, and sustainable agriculture are widely recognized, both nationally and internationally. As a professor at the National Research Centre, he has mentored emerging scientists, led significant research initiatives, and actively participated in shaping agricultural policies. With numerous editorial and advisory roles, he continues to influence the scientific community through scholarly contributions and peer-review activities. His interdisciplinary expertise and commitment to environmentally sound pest control strategies make him a pivotal figure in advancing agricultural sciences in Egypt and globally.

Jinfu Fan | Machine Learning | Best Researcher Award

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Assoc. Prof. Dr. Jinfu Fan | Machine Learning | Best Researcher Award

Professor at Qingdao University, China.

Assoc. Prof. Dr. Jinfu Fan is a dedicated researcher and academic currently serving as an Associate Professor at the College of Computer Science Technology, Qingdao University (QU), China. He earned his Ph.D. in Computer Science from Tongji University, Shanghai, and further expanded his academic horizons as a visiting scholar at the School of Computing (SoC), National University of Singapore (NUS), from January to December 2022. Dr. Fan specializes in the fields of machine learning, data mining, and computer vision, with a notable emphasis on weakly supervised multi-label learning and super-resolution image reconstruction. His recent research project, MDiffSR, explores the application of mutual information and diffusion models in image super-resolution and has been published in the renowned Neurocomputing journal. His scholarly work demonstrates a solid blend of theoretical foundations and practical innovation, offering new directions in data-efficient learning and visual computing. Beyond research, Dr. Fan is actively involved in curriculum development and student mentorship at QU, contributing significantly to academic growth and collaborative learning. His passion for integrating advanced algorithms with real-world applications marks him as a progressive thinker and an impactful contributor in the field of artificial intelligence and computational imaging.

Publication Profile

Scopus

Orcid

Google  Scholar

Educational Details

Dr. Jinfu Fan obtained his Ph.D. degree in Computer Science from Tongji University, Shanghai, one of China’s leading research universities known for its engineering and technological disciplines. During his doctoral training, he focused on advanced learning algorithms and optimization techniques, gaining strong expertise in machine learning and data-driven modeling. His academic foundation combines rigorous computational training with a deep understanding of mathematical modeling, which laid the groundwork for his current research in weakly supervised learning and super-resolution technologies. In addition to his doctoral studies, Dr. Fan further honed his academic skills through a postdoctoral or visiting scholar tenure at the National University of Singapore (NUS), a globally recognized institution in computer science and AI research. This international experience provided him with broader research exposure, particularly in collaborative and cross-disciplinary projects, and allowed him to work alongside some of the field’s top minds. His educational background not only reflects technical depth but also a proactive approach toward lifelong learning and global academic engagement. His training in both national and international settings has helped cultivate a well-rounded understanding of computer science principles and their real-world applications, making him a versatile researcher and educator in the evolving tech landscape.

Professional Experience

Assoc. Prof. Dr. Jinfu Fan is currently affiliated with the College of Computer Science Technology at Qingdao University (QU), where he serves as an Associate Professor. In this role, he is actively involved in both research and teaching, guiding undergraduate and graduate students in areas related to machine learning, computer vision, and artificial intelligence. Prior to joining QU, he completed his Ph.D. at Tongji University and enriched his professional experience as a visiting scholar at the National University of Singapore (NUS) from January to December 2022. During his time at NUS, Dr. Fan collaborated with prominent researchers at the School of Computing, which broadened his research scope and provided him with valuable international experience. At Qingdao University, he has initiated and led several research projects, including the development of image super-resolution frameworks using mutual information and diffusion models. His role as an academic also includes curriculum development, research supervision, and interdisciplinary collaboration. His professional journey reflects a strong commitment to technological advancement and academic excellence, marked by his ability to integrate research with education and translate theory into practical innovations. Dr. Fan’s progressive academic and research track record underscores his dedication to scholarly leadership in AI and computational science.

Research Interest

Dr. Jinfu Fan’s research interests span across several cutting-edge areas within artificial intelligence and computer vision. He is particularly focused on machine learning and data mining, with a growing specialization in weakly supervised multi-label learning, an area that seeks to develop intelligent systems capable of learning from limited or incomplete labeled data. This field is crucial for reducing the cost and effort associated with data annotation, making AI more accessible and scalable. In addition, Dr. Fan is extensively involved in super-resolution image reconstruction, aiming to enhance the resolution of images using deep learning techniques and novel optimization models. His recent work on MDiffSR integrates mutual information and diffusion modeling to boost image quality and reconstruction accuracy, addressing core challenges in medical imaging, remote sensing, and surveillance. He also maintains active interest in areas such as representation learning, information theory in AI, and unsupervised learning strategies. His goal is to bridge the gap between theoretical development and real-world application, and his projects frequently target practical outcomes in health diagnostics, smart cities, and digital imaging. Dr. Fan’s interdisciplinary vision and technical versatility position him at the forefront of research aimed at making AI models more robust, efficient, and interpretable.

Research Skills

Assoc. Prof. Dr. Jinfu Fan possesses a comprehensive suite of research skills in both theoretical and applied computer science. His primary strength lies in machine learning algorithm design, where he has developed and evaluated models for classification, multi-label learning, and super-resolution tasks. He is proficient in deep learning frameworks such as TensorFlow and PyTorch, which he uses to build and test neural networks tailored for image processing and representation learning. Additionally, Dr. Fan has a strong grasp of information theory, particularly mutual information, which he applies to improve learning efficiency and performance in weakly supervised environments. His research methodology is firmly rooted in rigorous mathematical modeling and statistical analysis, supported by tools like Python, MATLAB, and R. He is also skilled in experimental design and evaluation, ensuring that his studies follow reproducible and scalable processes. Moreover, his experience with image reconstruction techniques, especially in the context of the MDiffSR project, demonstrates his ability to integrate domain-specific knowledge with advanced AI models. Dr. Fan’s collaborative experience at the National University of Singapore further highlights his international research exposure and ability to work on multidisciplinary teams, equipping him with both technical and cross-cultural collaboration skills vital for modern scientific research.

Awards and Honors

While specific awards and honors are not detailed in the available records, Assoc. Prof. Dr. Jinfu Fan’s academic and research career reflects commendable achievements that position him as a strong candidate for national and international recognition. His selection as a visiting scholar at the National University of Singapore (NUS)—a prestigious institution ranked among the top in Asia for computer science—demonstrates peer recognition of his academic potential and research capabilities. His publication in Neurocomputing, a well-regarded SCI-indexed journal, adds to his credentials, showcasing his ability to contribute impactful research to the scientific community. Dr. Fan’s research project “MDiffSR: Mutual information and diffusion model in image super-resolution” represents an innovative stride in AI-based imaging solutions and has earned citation attention, indicating its influence in the academic domain. As his body of work continues to expand, it is likely that his contributions will be recognized by leading societies and research funding bodies. He is an ideal candidate for honors such as the Best Researcher Award, Excellence in Research, or Outstanding Scientist Award, given his growing research portfolio, international collaborations, and commitment to academic advancement in machine learning and computer vision.

Author Metrics

  • Total Citations: 186

  • h-index: 8
    (8 publications have at least 8 citations each)

  • i10-index: 8
    (8 publications have at least 10 citations each)

Top Noted Publication

  • A dynamic ensemble method for residential short-term load forecasting
    Y. Yang, F. Jinfu, W. Zhongjie, Z. Zheng, X. Yukun
    Alexandria Engineering Journal, 2023, 
    Citations: 25

  • GraphDPI: Partial label disambiguation by graph representation learning via mutual information maximization
    J. Fan, Y. Yu, L. Huang, Z. Wang
    Pattern Recognition, 2023, 
    Citations: 23

  • Spatial-frequency dual-domain feature fusion network for low-light remote sensing image enhancement
    Z. Yao, G. Fan, J. Fan, M. Gan, C.L.P. Chen
    IEEE Transactions on Geoscience and Remote Sensing, 2024
    Citations: 17

  • A new multi-source transfer learning method based on two-stage weighted fusion
    L. Huang, J. Fan, W. Zhao, Y. You
    Knowledge-Based Systems, 2023, 
    Citations: 17

  • Partial label learning based on disambiguation correction net with graph representation
    J. Fan, Y. Yu, Z. Wang, J. Gu
    IEEE Transactions on Circuits and Systems for Video Technology, 2021, 
    Citations: 17

Conclusion

Assoc. Prof. Dr. Jinfu Fan exemplifies a forward-thinking academic who integrates rigorous research with practical innovation in the fields of machine learning and computer vision. With a solid educational foundation from Tongji University and global exposure through his time at the National University of Singapore, he brings a well-rounded and internationally informed perspective to his work. His specialized interests in weakly supervised multi-label learning and image super-resolution position him at the cutting edge of artificial intelligence research. The MDiffSR project, as one of his leading contributions, reflects his ability to blend theory with impactful applications. At Qingdao University, he not only leads significant research initiatives but also plays a vital role in mentoring students and fostering academic excellence. His research skills, encompassing deep learning, data mining, and mathematical modeling, make him a valuable contributor to both academic and industry-oriented projects. As he continues to expand his publication record and research collaborations, Dr. Fan stands as a promising candidate for recognition in scientific innovation. His commitment to knowledge advancement, problem-solving, and global engagement makes him a distinguished figure in the AI research landscape, with continued potential to make meaningful contributions to science and society.

Xiaofeng Dai | Medicine Advances | Best Researcher Award

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Prof. Xiaofeng Dai | Medicine Advances | Best Researcher Award

Professor at The First Affiliated Hospital of Xi’an Jiaotong University, China.

Prof. Dr. Xiaofeng Dai is a distinguished expert in precision oncology and plasma medicine, currently serving as Professor and Research Theme Leader at the First Affiliated Hospital of Xi’an Jiaotong University. With dual PhDs in Systems Biology (Genetics) and Econo-Informatics from Finland, she integrates interdisciplinary knowledge across molecular oncology, bioinformatics, and translational medicine. Prof. Dai has established herself as a global leader in exploring the molecular and clinical applications of cold atmospheric plasma (CAP) therapy, publishing over 114 SCI-indexed articles with a cumulative impact factor of 806.74. She is the first or corresponding author of all these works, including four ESI highly cited papers. Her scientific achievements are further marked by 2 U.S. patents, 4 Chinese invention patents, and 10 software copyrights. She has secured and led national and industrial research funding exceeding 10 million RMB. Recognized for her pioneering work, Prof. Dai has received prestigious honors including Academician of the European Academy of Natural Sciences (2023), Outstanding Engineer Award (2022), and selection in the Jiangsu Province 333 High-level Talents Program (2024). As an active contributor to academic societies and a passionate educator, she is committed to translating advanced research into tangible clinical innovations.

Publication Profile

Scopus

Educational Details

  • Ph.D. in Econo-informatics, Aalto University, Finland (2016)

  • Ph.D. in Systems Biology – Genetics, Tampere University of Technology, Finland (2010)

  • M.Sc. in Bioinformatics, University of Tampere, Finland (2010)

  • M.Sc. in Molecular Biology, Chinese Academy of Agricultural Sciences, China (2006)

  • B.Sc. in Biotechnology, Central South University of Forestry and Technology, China (2003)

Professional Experience

  • 2023/06 – Present: Professor, Theme Leader – Precision Oncology, The First Affiliated Hospital of Xi’an Jiaotong University

  • 2017/06 – 2023/05: Professor, Theme Leader – Precision Medicine, Jiangnan University

  • 2014/02 – 2017/05: Associate Professor, Precision Medicine, Jiangnan University

  • 2016/12 – 2017/02: Visiting Scholar, Queensland University of Technology (QUT), Australia

  • 2013/10 – 2014/01: Principal Investigator, Chinese National Human Genome Center

  • 2011/02 – 2013/09: Senior Research Fellow, Helsinki University Central Hospital, Finland

  • 2010/02 – 2011/01: Senior Research Fellow, Institute for Molecular Medicine Finland

  • 2007/03 – 2011/01: Research Fellow, Tampere University of Technology, Finland

Research Interest

Prof. Dai’s research centers on cold atmospheric plasma (CAP)-based therapies in oncology and beyond. Her interests lie in exploring the molecular underpinnings of CAP’s selective cytotoxicity against malignant cells, investigating its influence on cancer stemness, metastasis, and tumor microenvironment. Expanding from cancer, her current work includes the use of CAP in immunomodulation, metabolic disorders, viral prevention, and vaccine enhancement. She also focuses on developing innovative CAP delivery systems such as ingestible CAP capsules and CAP-mediated photodynamic therapy, aiming to enhance its versatility and applicability. Prof. Dai is also addressing key translational barriers—such as CAP’s short-lived reactive components—by designing storage-stable and sustained-release solutions. Her research integrates bioinformatics, molecular biology, and plasma physics to decipher therapeutic pathways and identify CAP-mimicking biomolecules. Through computational modeling and synthetic chemistry, she is developing molecules with CAP-like efficacy, pushing forward the concept of molecular plasma medicine. Her goal is to create clinically adaptable, precision-targeted, and minimally invasive treatment solutions across a wide spectrum of diseases.

Research Skills

Prof. Dai is proficient in a broad array of interdisciplinary research techniques, spanning molecular biology, plasma physics, bioinformatics, and translational medicine. Her core expertise includes the design and execution of high-throughput omics experiments, real-time plasma-matter interaction studies, and in vitro/in vivo cancer models. She is skilled in CRISPR-based functional genomics, computational modeling of plasma-induced cellular responses, and RNA-seq data interpretation. Her strong background in systems biology enables her to construct multi-scale models that integrate molecular, cellular, and clinical data. She has extensive experience in developing biomedical devices and software tools tailored to plasma applications, backed by 10 software copyrights. Her ability to secure industrial partnerships and government funding demonstrates her leadership in translational research. Additionally, Prof. Dai has led cross-disciplinary teams to develop CAP-based interventions for autoimmune diseases, metabolic disorders, and infectious disease prevention. She is also adept at scientific communication, grant writing, project management, and mentoring junior researchers and students.

Awards and Honors

Prof. Dai’s research excellence and leadership have been widely recognized. In 2024, she was named a Level 3 recipient in the prestigious “333 High-Level Talent Program” of Jiangsu Province. In 2023, she was elected an Academician of the European Academy of Natural Sciences, highlighting her international stature. Her innovative research earned her the Outstanding Engineer Young Award in 2022 from the International Scientific Exchange Foundation of China. Earlier honors include being a member of the Dual Innovative Team of Jiangsu Province (2017), receiving the Six Talent Peaks Award (2016), and being named a Leading Talent for Social Undertakings in Wuxi (2015). These accolades underscore her sustained contributions to scientific innovation, particularly in the interdisciplinary domains of bioengineering, oncology, and plasma medicine. They also reflect recognition by both national and international academic bodies, industry collaborators, and government agencies. Her ability to integrate science, education, and clinical translation has made her a respected figure in China’s high-impact research ecosystem.

Author Metrics

  • Total Citations: 4,522

  • Citations by Documents: 4,063

  • Total Publications (Documents): 125

  • h-index: 29

Top Noted Publication

1. Advanced Science (2020)

Title: Innovative precision gene-editing tools in personalized cancer medicine
Journal: Advanced Science

  • IF (2023): ~17.5

  • JCR Rank: Q1 (Multidisciplinary Sciences)

  • Reason: Highly impactful, interdisciplinary, cutting-edge gene-editing research published in a top-tier journal.

2. Trends in Biotechnology (2018)

Title: The emerging role of gas plasma in oncotherapy
Journal: Trends in Biotechnology

  • IF (2023): ~20.0

  • JCR Rank: Q1 (Biotechnology & Applied Microbiology)

  • Reason: Published in a Cell Press journal, which is highly selective. Recognized for trend-setting reviews.

3. Signal Transduction and Targeted Therapy (2025)

Title: Systemic lupus erythematosus: updated insights on the pathogenesis, diagnosis, prevention and therapeutics
Journal: Signal Transduction and Targeted Therapy

  • IF (2023): ~39.3

  • JCR Rank: Q1 (Immunology/Oncology)

  • Reason: Nature Publishing Group journal with very high impact. Although recent, its publication in a Nature journal signifies top-tier status.

4. Trends in Genetics (2022)

Title: Histone lactylation: epigenetic mark of glycolytic switch
Journal: Trends in Genetics

  • IF (2023): ~12.0

  • JCR Rank: Q1 (Genetics & Heredity)

  • Reason: Cell Press review journal with major influence in the field of epigenetics and gene regulation.

5. Biotechnology Advances (2019)

Title: Standardizing CAR-T therapy: getting it scaled up
Journal: Biotechnology Advances

  • IF (2023): ~14.2

  • JCR Rank: Q1 (Biotechnology)

  • Reason: Authoritative journal in biotechnology with strong clinical and commercial relevance, especially in CAR-T research.

Conclusion

Prof. Dr. Xiaofeng Dai is a leading interdisciplinary scientist advancing cold atmospheric plasma (CAP) therapy in precision oncology and regenerative medicine. With dual Ph.D. degrees, over 100 SCI-indexed publications, and multiple patents, she bridges molecular research with clinical application. Her leadership in securing major research funding and fostering industry collaboration highlights her impact across science and innovation. As an educator and mentor, she is shaping future experts in cancer biology and bioinformatics. Through national and international partnerships, Prof. Dai remains at the forefront of translating high-impact research into real-world medical solutions.

 

Binhui Li | Marine Economy | Young Scientist Award

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Ms. Binhui Li | Marine Economy | Young Scientist Award

Binhui Li at College of Science & Technology, Ningbo University, China.

Ms. Binhui Li is a senior undergraduate student of International Trade at the College of Science & Technology, Ningbo University, China. With a strong academic interest in regional and marine economy, she has cultivated practical research skills in data analysis and geospatial mapping using Stata and ArcGIS. Her first co-authored article, published in a reputable SCI/Scopus journal, investigates the evolving landscape of digital trade and its regional implications. In this work, she contributed to the original draft, methodological framework, software operations, and result validation. Despite being at an early stage in her career, she has already made a notable impact, achieving a citation index of 7. Ms. Li’s work reflects a deep curiosity for digital commerce, coastal development, and sustainable economic systems. Her academic journey is characterized by diligence, technological fluency, and a passion for evidence-based policy research. As an aspiring researcher, she aims to expand her studies through graduate-level education and collaborative research, focusing on how digital innovation can support regional and marine economic advancement. Her long-term goal is to contribute to academic and policy-oriented solutions that promote balanced economic growth and digital integration in maritime and trade-intensive regions.

Publication Profile

Orcid

Google Scholar

Educational Details

Ms. Binhui Li is currently a senior undergraduate student at the College of Science & Technology, Ningbo University, where she is pursuing a Bachelor’s degree in International Trade. Her academic training has provided a solid foundation in global economic systems, trade policy, and international market dynamics. In addition to core coursework in economics and trade, she has actively developed skills in quantitative and spatial analysis, notably through hands-on experience with ArcGIS and Stata software. These tools have enabled her to undertake data-driven studies and regional economic modeling tasks. Her academic interest in the marine and regional economy aligns with the university’s coastal development focus, allowing her to integrate practical research into her learning. She has demonstrated exceptional analytical thinking and technical competency through classroom projects and independent study, paving the way for contributions to interdisciplinary research in digital trade and marine economic systems. Ms. Li is also cultivating her academic profile through scientific writing and data validation, equipping her with the necessary tools for graduate studies or professional research roles in economic policy, digital commerce, or sustainable marine development.

Professional Experience

Although Ms. Binhui Li is at the undergraduate level, she has already gained valuable exposure to professional research processes. Her first peer-reviewed publication in a Scopus and SCI-indexed journal represents a significant milestone for a student researcher. The publication, available at https://doi.org/10.1016/j.gsf.2023.101776, showcases her involvement in a research study on digital trade, reflecting her growing capabilities in academic writing, software application, and economic analysis. In this project, Ms. Li contributed to methodology design, data analysis using Stata and ArcGIS, software handling, and validation of results. While she has not yet engaged in industry consultancy projects or editorial roles, her involvement in a published scientific article signals her potential and dedication to research excellence. Her responsibilities were equivalent to that of a junior research assistant, marking the beginning of her professional academic development. With a citation index of 7, her research has already begun to generate scholarly attention. As she progresses in her academic journey, she aims to further develop her professional experience through collaborations, graduate studies, and continued publication in high-impact journals focused on economic development and marine sustainability.

Research Interest

Binhui Li’s research focuses on the marine economy, regional economic development, and the impact of digital trade. With a background in international trade, she explores how digital technologies are reshaping maritime trade flows. Her studies integrate geospatial analytics and economic modeling, examining how marine economic zones drive regional growth and how policy can optimize infrastructure for economic resilience. Binhui is particularly interested in the role of digital trade in global value chains, especially for SMEs in coastal areas. As she progresses in her academic career, she aims to explore environmental economics, blue economy strategies, and cross-border e-commerce ecosystems. Binhui’s interdisciplinary interests make her a strong candidate for graduate programs in regional economics, international development, and public policy with a research focus.

Research Skills

Binhui Li possesses a well-developed set of research skills, particularly for an undergraduate student. She is proficient in ArcGIS, enabling her to analyze and visualize spatial economic data related to regional and marine economies. This skill is critical in mapping economic activity, port development, and infrastructure accessibility, all of which are relevant to her research focus. Additionally, she is trained in Stata, a leading statistical software widely used in economic modeling, econometrics, and data analysis. Her capability in using these tools allows her to handle large datasets, perform regression analysis, and validate results with statistical rigor. Ms. Li also has experience in research methodology, including literature review, hypothesis development, and model validation, which she applied during her contribution to the Scopus-indexed research article. Her competencies extend to academic writing, where she has proven her ability to co-author a scientific paper by contributing to the original draft and ensuring methodological consistency. These research skills, combined with her analytical mindset and attention to detail, enable her to independently carry out research tasks and collaborate effectively within multidisciplinary teams. Her readiness to explore innovative solutions through data and technology enhances her potential as a future research leader in digital trade and marine economics.

Awards and Honors

Although early in her academic career, Binhui Li is already gaining recognition for her scholarly contributions. Her most notable achievement to date is the co-authorship of a peer-reviewed research paper published in Geoscience Frontiers, an SCI-indexed journal. This publication signifies her capability to engage in high-quality academic work and reflects her diligence and scholarly integrity. The article has achieved a citation count of 7, an impressive metric for an undergraduate, indicating that her research is being recognized and cited by the academic community. She has also been selected to apply for the Young Scientist Award, a prestigious platform recognizing promising early-career researchers. While she has not yet received formal awards or honors beyond her publication, her academic record positions her as a strong candidate for future fellowships, scholarships, and scientific competitions. Her proactive engagement with empirical research and early publication experience are likely to open doors for national and international recognition in the coming years. Ms. Li’s ability to collaborate effectively, deliver technical contributions, and demonstrate innovation in digital trade and marine economy positions her well for future academic accolades and policy-oriented roles in government and research organizations.

Author Metrics

  • Citation Index: 7

  • h-index: 1

  • i10-index: 0

  • Published Journals: 2 (as of 2024-2025)

    1. Regional Disparities and Dynamic Evolution of Marine Science and Technology Innovation in China (Regional Studies in Marine Science, 2025)

    2. Green Trading and Ecological Sustainability under Macroeconomic Policy Framework (Geoscience Frontiers, 2024)

  • Research Areas: Marine economy, Regional economy, Digital trade

  • Software Skills: Proficient in ArcGIS and Stata

Top Noted Publication

Paper 1: Regional Disparities and Dynamic Evolution of Marine Science and Technology Innovation in China

  • Journal: Regional Studies in Marine Science

  • Publication Date: May 9, 2025

  • DOI: 10.1016/j.rsma.2025.104213

  • ISSN: 2352-4855

  • Contributors: Binhui Li, Xinyao Jiang, Kehan Xiang, Yue Hu

  • Summary: This study examines regional imbalances and the temporal evolution of marine science and technology innovation across various provinces in China. Using spatial econometric analysis and dynamic evolution models, the paper highlights key regional disparities and provides insights for policy optimization to promote coordinated innovation development in the marine sector.

2: Green Trading and Ecological Sustainability under Macroeconomic Policy Framework

  • Journal: Geoscience Frontiers

  • Publication Date: May 2024

  • DOI: 10.1016/j.gsf.2023.101776

  • Contributors: Yue Hu, Binhui Li, Munir Ahmad

  • Summary: This paper investigates the interplay between green trade practices and ecological sustainability under the influence of macroeconomic policies. It employs quantitative modeling using Stata software to analyze policy impacts, demonstrating how green trade contributes to environmental goals and suggesting directions for future sustainable development strategies.

Conclusion

Ms. Binhui Li is an ambitious and capable young researcher with a strong foundation in international trade, enhanced by skills in ArcGIS and Stata. As an undergraduate, she has already made significant strides by publishing in an indexed journal, a milestone many postgraduate students aspire to. Her research focuses on digital trade and the marine economy, demonstrating both relevance and impact on policy. Combining technical expertise with a multidisciplinary approach, she is well-positioned to tackle real-world economic challenges. With a growing citation record, Ms. Li is poised for continued success in advanced studies, particularly in sustainable economic development and digital transformation. The Young Scientist Award would be a fitting recognition of her contributions and potential for future innovation.

 

Xianyu Zhou | Microsurgery | Best Researcher Award

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Dr. Xianyu Zhou | Microsurgery | Best Researcher Award

Xianyu Zhou at Shanghai Ninth People’s Hospital, China.

Dr. Xianyu Zhou is a board-certified plastic and reconstructive surgeon, currently serving as an Attending Surgeon at the Department of Plastic and Reconstructive Surgery at Shanghai Ninth People’s Hospital, affiliated with Shanghai Jiao Tong University School of Medicine. He is also a doctoral candidate in Surgery at the same university. Dr. Zhou’s expertise is centered on aesthetic and reconstructive procedures, particularly focusing on ocular and nasal surgery, scar repair, and microsurgery. With a track record of excellence in both clinical practice and research, Dr. Zhou has published 39 peer-reviewed articles, 30 of which are in SCI-indexed journals, with 17 as the first or corresponding author. He has been the principal investigator for several national and municipal research grants and played a key role in translating the first English version of China’s Expert Consensus on Ptosis. His academic influence extends internationally, highlighted by postdoctoral research at Johns Hopkins University. Dr. Zhou’s interdisciplinary work bridges immunology, tissue engineering, and microsurgery, contributing to innovations in vascularized composite allotransplantation (VCA). He is recognized as an emerging leader in the field of plastic and reconstructive surgery in China and beyond.

Publication Profile

Scopus

Orcid

Educational Details

Dr. Zhou holds a robust academic background in clinical and surgical sciences. He earned his Bachelor of Medicine (B.M.) in Clinical Medicine from Jilin Medical University in 2011. He advanced his surgical education at Shanghai Jiao Tong University, receiving his Master of Science (M.S.) in Surgery in 2014, followed by a Doctor of Philosophy (Ph.D.) in Surgery in 2017, where his research focused on advanced surgical techniques. To enhance his expertise, Dr. Zhou completed a postdoctoral fellowship in plastic and reconstructive surgery at Johns Hopkins University School of Medicine (2016–2018). During his time there, he participated in groundbreaking research projects on immunomodulation, vascularized composite allotransplantation (VCA), and tissue engineering. His multifaceted educational journey reflects a commitment to blending clinical practice with innovative scientific research, enriching his clinical and academic contributions.

Professional Experience

Dr. Zhou’s professional journey is marked by steady advancement in both clinical and academic roles:

  • Attending Surgeon
    Department of Plastic and Reconstructive Surgery, Shanghai Ninth People’s Hospital, Shanghai Jiao Tong University School of Medicine (2020–Present)
    Dr. Zhou specializes in complex aesthetic and reconstructive procedures, focusing on ocular and nasal surgeries, soft tissue tumor treatments, and scar repairs.

  • Plastic Surgery Residency
    Shanghai Ninth People’s Hospital, Shanghai Jiao Tong University School of Medicine (2018–2020)
    Dr. Zhou underwent intensive hands-on training and mentorship in advanced plastic and reconstructive surgery techniques.

  • Postdoctoral Fellow
    Johns Hopkins University School of Medicine (2016–2018)
    At one of the world’s premier medical research institutions, Dr. Zhou worked on experimental surgeries, including VCA models, immune tolerance research, and microsurgery.

Research Interest

Dr. Zhou’s research interests are focused on the intersection of reconstructive surgery, immunology, and tissue engineering. His primary areas of study include:

  • Vascularized Composite Allotransplantation (VCA): Investigating immune modulation and nerve regeneration in VCA.

  • Microsurgical Reconstruction: Developing advanced techniques for tissue repair and reconstructive surgery.

  • Biodegradable Vascular Devices: Innovating in the creation of materials for reconstructive surgery, including decellularized dermal matrices and stem cells.

  • Ptosis Correction: Standardizing treatment protocols for ptosis, including his contribution to translating the first English edition of the Chinese Expert Consensus.

  • Facial Rejuvenation: Developing minimally invasive techniques for aesthetic enhancement and optimizing post-surgical scar treatments.

Research Skills

Dr. Zhou is proficient in numerous advanced research techniques crucial to reconstructive surgery, including:

  • Animal Models: Expertise in small and large animal models, including mouse and pig models for studying VCA, immune tolerance, and nerve regeneration.

  • Microsurgery: Skilled in complex microsurgical techniques such as vascular and nerve anastomoses, essential for both experimental and clinical surgeries.

  • Stem Cell Therapy: Experience with adipose-derived stem cells and regulatory T cell expansion for immunomodulation.

  • Histology and Immunohistochemistry: Proficient in analyzing tissue samples, particularly for graft survival and immunological responses.

  • Biodegradable Devices: Involved in the development and evaluation of microvascular anastomotic couplers and other surgical devices.

Awards and Honors

Dr. Zhou’s exceptional contributions have been recognized with several awards:

  • National Natural Science Foundation of China (NSFC) Youth Program Grant (2021): Recognizing his research on immunoregulation in composite tissue transplantation.

  • Shanghai Science and Technology Commission Biomedical Support Program (2022): Awarded for research on biodegradable vascular devices.

  • Patents: Dr. Zhou holds five patents related to surgical tools and techniques.

  • Translation Contribution: His translation of the Chinese Expert Consensus on Ptosis into English facilitated international collaboration in oculoplastic surgery.

Author Metrics

  • Total Citations: 800+

  • h-index: 15

  • i10-index: 20

Top Noted Publication

  • Wang Y, Qi W, Yu S, Zhou X, Wang X, Liu F, Jin R, Luo X, Ma Q, Lu L, Yang J.
    Comprehensive analysis of skin growth-related hub genes and microenvironment characterization in a mouse expanded skin model. Front Immunol. 2024 Dec 5;15:1306353. doi: 10.3389/fimmu.2024.1306353.

  • Wang X, Li R, Qiu CS, Deng Z, Yu W, Jin R, Zhou X, Liu F, Yang J.
    The Pendulum Movement of Orbital Fat and Retro-Orbicularis Oculi Fat: A New Strategy for Correction of Sunken Eyelid Deformity in Revision Upper Blepharoplasty for Asian Patients. Aesthetic Plast Surg. 2024;48(6):1104–1110.

  • Deng Z, He M, Zhou X, Qiu Y, Yang J, Liu F.
    A Modified Algorithm-Based Levator Aponeurectomy in Mild to Moderate Congenital Blepharoptosis. Aesthetic Plast Surg. 2024;48(11):2050–2056.

  • Qiu Y, Jin R, Dong X, Shen Y, Ding F, Deng Z, Zhou X, Ning Y, Yang J, Liu F.
    Conjoint fascial sheath suspension with levator muscle advancement for severe blepharoptosis. J Plast Surg Hand Surg. 2023;57(1–6):533–538.

  • Sun D, Huang X, Lu L, Jin R, Zhou X, Huang C, Luo X.
    Anchored Suture Technique for the Reconstruction of Paranasal Skin Defects Secondary to Melanocytic Nevus Excision. J Craniofac Surg. 2022;33(5):1559–1562.

Conclusion

Dr. Xianyu Zhou represents the next generation of clinician-scientists who integrate surgical expertise with research innovation. His extensive clinical experience, coupled with his academic accomplishments and international collaborations, positions him as a leader in reconstructive surgery. Through his pioneering work in tissue engineering, immunomodulation, and minimally invasive procedures, Dr. Zhou is shaping the future of personalized reconstructive care and advancing the field of plastic surgery both in China and globally.