Xilian Xu | Nanotechnology and Materials Science | Research Excellence Award

Dr. Xilian Xu | Nanotechnology and Materials Science | Research Excellence Award

Lecturer | Zhejiang University of Science and Technology | China

Dr. Xilian Xu is an accomplished researcher with a strong scholarly impact, evidenced by 2,289 Scopus citations, 38 peer-reviewed publications, and an h-index of 25. His research portfolio centers on high-quality journal articles, conference contributions, and scholarly outputs that advance fundamental and applied science. Dr. Xilian Xu’s work demonstrates consistent contributions to innovative research themes, addressing complex scientific questions through rigorous experimental design and analytical methodologies. He has actively contributed to competitive research projects and funded programs, supporting translational and interdisciplinary research outcomes. His scholarly activities include research findings with measurable academic and societal impact, reflected in citation performance and journal visibility. Dr. Xilian Xu has also contributed to innovation-driven R&D activities, strengthening knowledge transfer and applied research potential. In addition, he has provided professional service as a peer reviewer and editorial contributor, supporting research quality and integrity within the scientific community. His research achievements and recognitions underscore sustained excellence and influence in his field.

Research Metrics (Scopus)

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2,289

Documents
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25

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View Scopus Profile

Featured Publications

Peijia Bai | Nanotechnology and Materials Science | Best Researcher Award

Dr. Peijia Bai | Nanotechnology and Materials Science | Best Researcher Award

Assistant Research Fellow | Beihang University | China

Dr. Peijia Bai is an emerging materials scientist whose research significantly advances high-efficiency thermal management, electrothermal conversion, and radiative cooling technologies. His work centers on electrocaloric materials and devices, ultrafast-response phase-change materials (PCMs), thermal system design, and protective color radiative-cooling coatings. With a strong focus on bridging fundamental materials science with practical applications, he has contributed to establishing next-generation energy-efficient cooling strategies and improving heat-dissipation performance for electronic and aerospace systems. Dr. Peijia Bai has published more than 30 peer-reviewed journal articles across leading platforms including Advanced Materials, Nature Communications, Science, and Joule, with over 812 Scopus citations, 24 documents and an h-index of 14. His publications include more than 10 papers as first or corresponding author, highlighting his prominent role in driving independent innovations. He has also contributed to one research monograph and authored multiple high-impact conference papers that extend his work to global scientific communities. A major contribution of his research is the development of a standardized electrothermal-effect measurement protocol, which has been widely adopted by both academia and industry. This standardized method has been cited extensively in top-tier journals and is now considered an important benchmark for evaluating electrothermal device performance. His work has also yielded seven patented technologies covering thermal-functional materials and device architectures, demonstrating strong translational potential. Dr. Peijia Bai has led and contributed to multiple funded research projects related to thermal management materials, advanced cooling devices, and energy-conversion technologies. His innovations have earned him the prestigious SAMPE International Award and recognition within professional societies such as the Zhejiang Society for Materials Progress. He also serves on the young editorial boards of cScience and Renewable and Sustainable Energy, reflecting his growing influence in the field. Dr. Peijia Bai’s research continues to advance innovative thermal strategies, contributing impactful solutions for sustainable energy technologies, aerospace materials, and advanced electronic systems.

Profiles: Scopus | ORCID | ResearchGate

Featured Publications

1. Bai, P., Yang, Q., & Yu, S. (2025). Electrocaloric refrigeration utilizing lead-free multilayer ceramics with high heat transfer efficiency. Applied Thermal Engineering. https://doi.org/10.1016/j.applthermaleng.2025.128927

2. Bai, P., Yang, Q., & Yu, S. (2025). Integration of efficient photothermal and flexible solid-solid PCM for personal thermoregulation in cold environments. iScience. https://doi.org/10.1016/j.isci.2025.114032

3. Wang, G., Bai, P., Yuan, S., Bo, Y., Zhang, D., & Ma, R. (2025). Flexible electrocaloric polymer stack driven by one AA battery for highly efficient personalized thermoregulation. Nano Letters, 25. https://doi.org/10.1021/acs.nanolett.5c03730

4. Wang, G., Bai, P., Yuan, S., Bo, Y., Zhou, Z., Zhang, D., & Ma, R. (2025). Highly efficient cooling via synergistic electro‐thermal phase changes. Advanced Materials. https://doi.org/10.1002/adma.202506006

5. Ma, W., Liu, X., Yang, T., Wang, J., Qiu, Z., Cai, Z., Bai, P., Ji, X., & Huang, Y. (2025). Strong magnetic–dielectric synergistic gradient metamaterials for boosting superior multispectral ultra‐broadband absorption with low‐frequency compatibility. Advanced Functional Materials. https://doi.org/10.1002/adfm.202314046

Nelson Etafo | Nanotechnology and Materials Science | Best Scholar Award

Dr. Nelson Etafo | Nanotechnology and Materials Science | Best Scholar Award

Researcher | Universidad Carolina | Mexico

Dr. Nelson Etafo is an active materials science and environmental technology researcher whose work spans photoluminescence, nanotechnology, catalysis, wastewater remediation, and sustainable materials engineering. With 238 Scopus citations, 24 indexed publications, and an h-index of 7, he has contributed significantly to the advancement of functional materials, luminescent phosphors, and electrocoagulation-based technologies. His research focuses strongly on lanthanide-doped phosphors, solid-state lighting, upconversion materials, and their applications in bioimaging, sensing, anti-counterfeiting, and light-emitting devices. He has developed and analyzed BaLaAlO₄, SrLaAlO₄, and Sr₂CeO₄-based phosphors, contributing new insights into blue, red, and NIR emissions, refractive-index-influenced catalysis, and photoluminescent mechanisms. His work includes advancements in combustion synthesis, upconversion efficiency improvement, and material optimization for LEDs and biomedical uses. Dr. Nelson Etafo is also recognized for extensive contributions to environmental remediation, particularly electrocoagulation technology for wastewater treatment, pollutant removal, and precious metal recovery. His collaborative studies address cyanide destruction, gold/silver recovery, contaminant sequestration, and emerging wastewater challenges. He has authored influential reviews on photocatalysis, touchscreen antimicrobial coatings, nanohybrids for biomedical use, and CO₂ utilization technologies-strengthening global discussions on sustainable and green engineering. Beyond journal publications, Dr. Nelson Etafo has contributed to book authorship and edited volumes, including Tailored Light Emitters for Biomedical Applications (Springer), along with chapters on drug delivery, biocatalytic waste conversion, and advanced materials for water treatment. His scientific contributions extend to participation in national and international conferences, collaborative projects with multidisciplinary teams, and membership in leading professional bodies such as ACS, RSC, and CSN. His research impact reflects a strong commitment to innovation, sustainability, and scientific advancement across material science and environmental engineering.

Profiles: Scopus | ORCID | Google Scholar | ResearchGate | Sci Profiles | Loop

Featured Publications

1. Etafo, N. O., Bamidele, M. O., Bamisaye, A., & Alli, Y. A. (2024). Revolutionizing photocatalysis: Unveiling efficient alternatives to titanium (IV) oxide and zinc oxide for comprehensive environmental remediation. Journal of Water Process Engineering, 62, 105369.

2. Nkoh, J. N., Oderinde, O., Etafo, N. O., Kifle, G. A., Okeke, E. S., Ejeromedoghene, O., … Ogunlaja, O. O. (2023). Recent perspective of antibiotics remediation: A review of the principles, mechanisms, and chemistry controlling remediation from aqueous media. Science of the Total Environment, 881, 163469.

3. Nkoh, J. N., Shang, C., Okeke, E. S., Ejeromedoghene, O., Oderinde, O., Etafo, N. O., … Foka Meugang, E. (2024). Antibiotics soil-solution chemistry: A review of environmental behavior and uptake and transformation by plants. Journal of Environmental Management, 354, 120312.

4. Alli, Y. A., Bamisaye, A., Bamidele, M. O., Etafo, N. O., Chkirida, S., Lawal, A., … Nageim, H. A. (2024). Transforming waste to wealth: Harnessing carbon dioxide for sustainable solutions. Results in Surfaces and Interfaces, 17, 100321.

5. Etafo, N. O., Oliva, J., Garcia, C. R., Mtz-Enríquez, A. I., Ruiz, J. I., Avalos Belmonte, F., … Gómez-Solís, C. (2022). Enhancing the blue/NIR emission of novel BaLaAlO4:Yb3+ (x mol%), Tm3+ (0.5 mol%) upconversion phosphors with the Yb3+ concentration (x = 0.5 to 6). Inorganic Chemistry Communications, 137, 109192.

Yonghui Sun | Materials Science | Best Researcher Award

Dr. Yonghui Sun | Materials Science | Best Researcher Award

Assistant Professor, Henan Normal University, China

Dr. Yonghui Sun is an accomplished researcher in supramolecular and organic chemistry with a specialization in purely organic room-temperature phosphorescence materials, currently serving as an Associate Professor at the School of Chemistry and Chemical Engineering, Henan Normal University, China. He earned his Ph.D. in Organic Chemistry from Nankai University in 2023 under the supervision of Prof. Yu Liu, following an M.S. in Organic Chemistry from Henan Normal University (2019) and a B.S. in Chemistry from Anyang Institute of Technology (2016). His professional experience includes academic research and teaching, with a focus on molecular engineering, matrix confinement strategies, macrocyclic chemistry, supramolecular assembly, and artificial transmembrane transport systems. Dr. Yonghui Sun has presented his research at prestigious national and international conferences, including the ISMSC 2024 in Hangzhou and the Asian Cyclodextrin Conference, highlighting his active involvement in global academic exchanges. His research skills encompass advanced molecular design, nanomaterial synthesis and supramolecular interaction analysis, which have led to high-impact publications indexed in Scopus and IEEE, with 9 documents, 303 citations and an h-index of 8. Recognized for his academic promise, Dr. Yonghui Sun has received honors through invited talks and scientific engagement, contributing to the broader chemistry community. In conclusion, his strong educational background, innovative research contributions and growing academic influence establish him as a promising leader in nanotechnology and supramolecular chemistry, with great potential to impact science and society.

Profile: Scopus

Featured Publications

1. Yonghui Sun, Lijuan Liu, Linnan Jiang, Yong Chen, Hengyue Zhang, Xiufang Xu, and Yu Liu, (2023). Unimolecular chiral stepping inversion machine. Journal of the American Chemical Society, 145(28), 16711–16716.

2. Yonghui Sun, Linnan Jiang, Lijuan Liu, Yong Chen, Wen-Wen Xu, Jie Niu, Yuexiu Qin, Xiufang Xu, and Yu Liu, (2023). Two calix[3]phenothiazine-based amorphous pure organic room-temperature phosphorescent supramolecules mediated by guest. Advanced Optical Materials, 11(20), 2300326.

3. Yonghui Sun, Linnan Jiang,Yong Chen, Yu Liu, (2024). In situ crosslink polymerization induced long-lived multicolor supramolecular hydrogel based on modified β-cyclodextrin. Chinese Chemical Letters, 35, 108644.

4. Yonghui Sun, Yong Chen, Linnan Jiang, Xiaoyong Yu, Yuexiu Qin, Shuaipeng Wang, and Yu Liu, (2022). Purely organic blue room-temperature phosphorescence activated by acrylamide in situ photopolymerization. Advanced Optical Materials, 10(24), 2201330.

5. Yonghui Sun, Yong Chen, Xianyin Dai, Yu Liu, (2021). Butyrylcholinesterase responsive supramolecular prodrug with targeted near-infrared cellular imaging property. Asian Journal of Organic Chemistry, 10(12), 3245–3252.

 

Yitayal Siyoum | Materials Science | Best Researcher Award

Mr. Yitayal Siyoum | Materials Science | Best Researcher Award

Lecturer and Researcher at Woldia University, Ethiopia.

Mr. Yitayal Siyoum is a dedicated mechanical engineering lecturer and incinerator engineer with a strong academic foundation and diversified research experience. Known for his analytical thinking, strong problem-solving skills, and commitment to innovation, he has developed a comprehensive background in manufacturing, additive manufacturing, and precision engineering. His career spans both academic and industrial environments, combining theoretical knowledge with practical expertise in materials science, CNC programming, and mechanical systems operation. As a lecturer at Woldia University, he teaches a variety of courses in manufacturing and industrial engineering while actively advising both undergraduate and master’s research projects. He also brings hands-on engineering experience from his work with UNOPS, where he was responsible for plant design, installation, and maintenance. His professional journey reflects a blend of technical excellence, teaching acumen, and research proficiency. With a passion for academic advancement, he is currently pursuing a Ph.D. at the University of Genova, Italy, with a proposed research focus on machine learning-driven modeling of metallic microstructures for energy systems. Mr. Siyoum is a proactive team player, an articulate communicator, and a dependable academician aiming to make meaningful contributions to the global engineering research community.

📝Publication Profile

Scopus

Orcid

🎓Education

Mr. Yitayal Siyoum has pursued a progressive academic trajectory in mechanical and manufacturing engineering. He is currently undertaking a Doctor of Philosophy (Ph.D.) in Mechanical, Energy, and Management Engineering at the University of Genova, Italy (2025–2028). His research is conducted under the Department of Mechanical, Energetics, Management, and Transport Engineering, with a specialization in Processing Technologies and Systems. His proposed research focuses on machine learning–driven modeling of metallic microstructures for energy system state estimation—an interdisciplinary approach combining computational intelligence with advanced materials engineering. Prior to his doctoral studies, Mr. Siyoum completed a Master of Science in Mechanical (Manufacturing) Engineering at Bahir Dar University, Bahir Dar Institute of Technology, Ethiopia, from December 2020 to November 2022. His master’s thesis addressed the microstructural analysis and mechanical property optimization of bio-implant materials, utilizing wire-cut Electrical Discharge Machining (EDM) and Artificial Neural Networks (ANN) enhanced by advanced optimization algorithms including Jaya, Genetic, and Teaching–Learning-Based Algorithms. He also holds a Bachelor of Science in Mechanical (Manufacturing) Engineering from Debre Markos University, Ethiopia, completed in 2018. His academic foundation began with a comprehensive education in Natural Sciences at Shendi Secondary School in Womberma, Ethiopia, completed in 2013. His educational pathway reflects a consistent dedication to technical excellence and applied research.

💼Professional Experience

Mr. Yitayal Siyoum has a dynamic professional career that includes both academic and industrial roles. Since November 2022, he has served as a Lecturer and Researcher at Woldia University, Ethiopia, where he teaches undergraduate and graduate courses in manufacturing and industrial engineering. His teaching portfolio includes courses such as welding, metal forming, manufacturing systems, CAD/CAM/CIM, metrology, and materials handling. He actively supervises thesis work and guides students in project development.

From March 2019 to October 2020, he worked as an Assistant Lecturer at the same institution, providing instructional support in core engineering subjects like Engineering Dynamics and Workshop Practice. Prior to his academic career, Mr. Siyoum worked briefly as a Mechanical Engineer (Incinerator Engineer) at UNOPS, Ethiopia, from January to March 2019. In this role, he focused on the design, installation, and operation of plant machinery, contributing to public health through environmentally safe waste disposal systems.

His career demonstrates a balanced combination of theoretical teaching, laboratory management, and hands-on industrial engineering experience. His deep understanding of mechanical systems, manufacturing practices, and engineering education makes him a valuable contributor to both academia and industry.

🔬Research Interest

Mr. Yitayal Siyoum’s research interests are deeply rooted in advanced manufacturing technologies and engineering optimization. He is particularly focused on additive manufacturing, where he investigates design and fabrication strategies for creating sustainable materials. His work in this area includes the development of composite materials and small-scale 3D printing machines.

In precision manufacturing, he explores the automation of machining systems that function without human intervention while maintaining precise tolerance levels. His research also integrates machine learning algorithms to enhance adaptive machining, welding, and 3D printing processes, particularly for additive manufacturing applications.

Additionally, Mr. Siyoum is interested in the design and management of production processes, including life cycle assessments (LCA), sustainability analysis, and technical-economic feasibility studies for new products. His research extends to industrial quality, safety, and efficient process design, bridging academic theory with real-world applications.

Overall, his multidisciplinary interests aim to advance the field of mechanical engineering by leveraging computational tools, AI, and sustainable technologies. His academic path and project involvement demonstrate a strong commitment to addressing current and future challenges in advanced manufacturing systems.

🛠️Research Skills

Mr. Yitayal Siyoum has cultivated a comprehensive skill set in engineering research, particularly in the areas of manufacturing, materials science, and computational analysis. He is proficient in designing and conducting experimental studies in additive manufacturing, including the optimization of process parameters using machine learning and artificial neural networks (ANN).

He has hands-on experience with microstructure analysis, mechanical property evaluation, and composite material design. Mr. Siyoum also engages in precision machining studies, such as wire-cut EDM, and uses optimization algorithms including Genetic Algorithms, Jaya Algorithm, and Teaching Learning-based Optimization.

In computational and simulation work, he is skilled in tools such as AutoCAD, SolidWorks, Fusion 360, ANSYS, ProCAST, and Deform 3D. His coding experience includes MATLAB, C++, and basic Java, making him capable of modeling physical systems and developing simulation environments.

Moreover, his background in life cycle assessment (LCA), feasibility studies, and quality control gives him an applied perspective on industrial processes. Mr. Siyoum’s ability to plan, schedule, and meet research deadlines, combined with his teaching and supervisory experience, make him an effective researcher and academic collaborator.

🏆Awards and Honors

Mr. Yitayal Siyoum has demonstrated academic excellence throughout his educational journey, earning top marks and distinctions that reflect his diligence and expertise. He completed his Master of Science in Mechanical (Manufacturing) Engineering with an outstanding GPA of 3.92 out of 4.00 at Bahir Dar University. His high academic achievement is further evidenced by his Bachelor’s degree performance at Debre Markos University, where he graduated with a GPA of 3.59.

During his undergraduate and postgraduate studies, he actively participated in academic clubs, such as the Mechanical Engineering Club, and provided voluntary teaching assistance to community high school and preparatory students in mathematics and physics. He was also involved in mentoring junior university students in programming and technical drawing.

Mr. Siyoum has received recognition for his leadership, mentorship, and contribution to university-level applied research projects. His work in engineering education and hands-on internships has earned him commendations from colleagues and supervisors alike. These accolades reflect his strong moral character, commitment to service, and consistent pursuit of academic and professional excellence.

📈Author Metrics

  • Total Documents Published: 4

  • Total Citations: 3 (cited by 3 documents)

  • h-index: 1 (The h-index of 1 indicates that at least 1 of the author’s publications has been cited at least once).

📌Publications Top Notes

1. A review of current research and prospects of fused deposition modelling: application, materials, performance, process variables, parameter optimization, and numerical study

  • Authors: Yitayal Belew Siyoum, Fikir Gashaw Kindie & Mebratu Assefa Gebeyehu

  • Year: 2025 

  • Journal: International Journal of Advanced Manufacturing Technology

  • Citation: Siyoum Y. B., Kindie F. G., & Gebeyehu M. A. (2025). A review of current research and prospects of fused deposition modelling: application, materials, performance, process variables, parameter optimization, and numerical study. Int J Adv Manuf Technol, 138, 1675–1711.

2. Parameter optimization for enhancing mechanical properties of wood‑plastic composites using artificial neural network with genetic algorithm and Taguchi method

  • Authors: Teshager Awoke Yeshiwas, Yitayal Belew Siyoum, Atalay Bayable Tiruneh & Tantigegn Kassahun Adamu

  • Year: 2025

  • Journal: Wood Materials Science & Engineering

  • Citation: Yeshiwas T. A., Siyoum Y. B., Tiruneh A. B., & Adamu T. K. (2025). Parameter optimization for enhancing mechanical properties of wood‑plastic composites using artificial neural network with genetic algorithm and Taguchi method. Wood Mater Sci Eng.

3. Comparative optimization of wire‑cut EDM parameter for enhancing surface finish and machining time on stainless steel: a machine learning, genetic algorithms, teaching–learning based optimization, and multi-objective Jaya approach

  • Authors: Yitayal Belew Siyoum, Fikir Gashaw Kindie, Mebratu Assefa Gebeyehu, Sewale Enyew Chanie, Teshager Awoke Yeshiwas & Yilkal Azene Zelalem

  • Year: 2025

  • Journal: International Journal of Advanced Manufacturing Technology

  • Citation: Siyoum Y. B., Kindie F. G., Gebeyehu M. A., Chanie S. E., Yeshiwas T. A., & Zelalem Y. A. (2025). Comparative optimization of wire‑cut EDM parameter for enhancing surface finish and machining time on stainless steel: a machine learning, genetic algorithms, teaching–learning‑based optimization, and multi-objective Jaya approach. Int J Adv Manuf Technol, 137, 5339–5362.

4. Optimization of wire‑cut EDM parameters using artificial neural network and genetic algorithm for enhancing surface finish and material removal rate of charging handlebar machining from mild steel AISI 1020

  • Authors: Sewale Enyew Chanie, Teshome Mulatie Bogale & Yitayal Belew Siyoum

  • Year: 2025 

  • Journal: International Journal of Advanced Manufacturing Technology

  • Citation: Chanie S. E., Bogale T. M., & Siyoum Y. B. (2025). Optimization of wire‑cut EDM parameters using artificial neural network and genetic algorithm for enhancing surface finish and material removal rate of charging handlebar machining from mild steel AISI 1020. Int J Adv Manuf Technol, 136, 3505–3523.

🧾Conclusion

Mr. Yitayal Siyoum stands out as a committed academician and researcher whose work bridges theoretical knowledge with practical innovation. His background in mechanical engineering—spanning additive manufacturing, precision machining, and machine learning—reflects a passion for addressing industrial and societal challenges through advanced technologies. As a lecturer, he excels in mentoring students and translating complex concepts into real-world applications. His research focus on sustainable material design and intelligent manufacturing systems positions him at the forefront of engineering advancement. Currently pursuing a Ph.D. at the University of Genova, he aims to deepen his understanding of metallic microstructures and energy systems through machine learning. His academic drive, collaborative spirit, and diverse skill set make him a strong candidate for research teams, academic collaborations, and interdisciplinary initiatives. Mr. Siyoum’s unwavering commitment to learning, innovation, and professional growth underscores his goal to contribute meaningfully to the engineering field and to society at large.