Jie Wu | Health and Medicine | Best Researcher Award

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Prof. Dr. Jie Wu | Health and Medicine | Best Researcher Award

Professor and Lab Director, Shantou University Medical College, China

Prof. Dr. Jie Wu is a Distinguished Professor and Director of the Laboratory of Brain Function and Disease at Shantou University Medical College, China, and formerly served as Professor and Director of the Neurophysiology Laboratory at the Barrow Neurological Institute (BNI), St. Joseph’s Hospital and Medical Center, USA. He earned his M.D. from Xuzhou Medical College in 1983 and Ph.D. in Neurophysiology from Sun Yat-sen University of Medical Sciences in 1990, followed by postdoctoral fellowships at Tohoku University School of Medicine, Japan (1993–1994), and the University of New Mexico, USA (1994–1997). His research focuses on the physiology and pharmacology of nicotinic acetylcholine receptors (nAChRs), molecular mechanisms of epilepsy, and neurodegenerative disorders related to amyloid beta (Aβ) and receptor dysfunction, as well as ATP-sensitive potassium (KATP) channel regulation. Over three decades, he has led groundbreaking neuroscience research funded by the U.S. National Institutes of Health (NIH), the State of Arizona, and various international foundations, making fundamental discoveries in synaptic receptor signaling and neurodegeneration. His pioneering contributions have led to nearly 200 peer-reviewed publications, five book chapters, and eight patents (four U.S. and four Chinese), providing novel insights into receptor-mediated neurological diseases and translational therapies. Among his many honors, Prof. Dr. Jie Wu has received the China National Natural Science Award and the International HH Rosenfield Rekate Pioneer Award, and was listed among the World’s Top 2% Scientists (2022) and elected as a Fellow of the Royal Society of Arts (FRSA, UK, 2024). He serves as Editor-in-Chief and editorial board member for leading international journals and is active in global neuroscience and biomedical societies. With 161 documents, 5,887 citations and an h-index of 44, Prof. Dr. Jie Wu exemplifies research excellence and leadership, advancing global neuroscience through innovation, collaboration, and mentorship that continues to shape the future of brain science and human health worldwide.

Profile: Scopus | ORCID | Google Scholar | ResearchGate | Sci Profiles | Loop | LONGDOM | LinkedIn 

Featured Publications

1. Zhang, X. X., Gao, M., Liu, Q. R., Bi, G. H., Li, X., Yang, H. J., Gardner, E. L., & Wu, J. (2014). Cannabinoid CB2 receptors modulate midbrain dopamine neuronal activity and dopamine-related behavior in mice. Proceedings of the National Academy of Sciences of the United States of America, 111(46), E5007–E5015.

2. Liu, Q., Huang, Y., Xue, F., Simard, A., DeChon, J., Li, G., Zhang, J., Lucero, L., & Wu, J. (2009). A novel nicotinic acetylcholine receptor subtype in basal forebrain cholinergic neurons with high sensitivity to amyloid peptides. Journal of Neuroscience, 29(4), 918–929.

3. Wang, T. N., Yang, W., Wang, Y., Nagaraj, V. J., Liu, Q., & Wu, J. (2012). Label-free measuring and mapping of binding kinetics of membrane proteins in single living cells. Nature Chemistry, 4(10), 846–853.

4. Chen, D. J., Gao, M., Gao, F. F., Su, Q. X., & Wu, J. (2017). Brain cannabinoid receptor 2: Expression, function and modulation. Acta Pharmacologica Sinica, 38(3), 312–316.

5. Okada, Y. C., Wu, J., & Kyuhou, S. (1997). Genesis of MEG signals in a mammalian CNS structure. Electroencephalography and Clinical Neurophysiology, 103(4), 474–485.

 

Xue-Yao Gao | Computer Vision and Image Recognition | Best Researcher Award

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Prof. Dr. Xue-Yao Gao | Computer Vision and Image Recognition | Best Researcher Award

Professor and Ph.D. Supervisor (Ph.D.), Harbin University of Science and Technology, China

Prof. Dr. Xue-Yao Gao is a Professor and Ph.D. Supervisor at the School of Computer Science and Technology, Harbin University of Science and Technology, where he also serves as Vice Dean and Deputy Director of the Heilongjiang Key Laboratory of Intelligent Information Processing and Applications. He holds a Ph.D. in Computer Application Technology (2009), an M.Sc. in Computer Software and Theory (2006), and a B.Sc. in Computer and Applications (2002), all from Harbin University of Science and Technology. His primary research focuses on computer graphics, CAD, natural language processing (NLP), artificial intelligence (AI), pattern recognition, and deep learning, with particular expertise in 3D model retrieval, multi-view feature fusion, and cross-view optimization strategies. Over his career, Prof. Dr. Xue-Yao Gao has held key academic positions including Professor (2018–present), Associate Professor (2012–2018), and Lecturer (2010–2012) in the School of Computer Science and Technology at Harbin University of Science and Technology. His contributions include over 60 publications, 16 granted invention patents, and leadership of seven funded projects supported by the National Natural Science Foundation of China, Heilongjiang Provincial Natural Science Foundation, Ministry of Education’s Chunhui Program, and corporate collaborations, totaling research funding exceeding 2.6 million yuan. Prof. Dr. Xue-Yao Gao has been recognized with the university’s “Science and Engineering Talent” award and has contributed as editor and co-author to multiple textbooks and monographs. He holds leadership and committee positions in the China Computer Federation and Heilongjiang Computer Society, including Executive Member, Director, Vice Chairman of the Harbin Branch of CCF YOCSEF, and memberships in specialized committees, actively mentoring doctoral and master’s students and fostering youth scientific engagement. His work advances intelligent information processing, enhances 3D modeling and pattern recognition technologies, and promotes innovative AI applications, impacting academia, industry, and society. Author metrics: 53 documents, 124 citations, h-index 6. Prof. Dr. Xue-Yao Gao’s sustained research excellence, innovation in AI and computer graphics, and global collaborative potential make him highly deserving of recognition for advancing science, technology, and education internationally.

Profile: Scopus | ORCID | ResearchGate | IEEE Xplore | Harbin University of Science and Technology

Featured Publications

1. Gao, X., Zhang, Y., Zhang, C., & Xue, Y. (2025). 3D model classification based on DRSN and multi-view feature fusion. Expert Systems with Applications, 273, 126872.

2. Gao, X., Yan, S., & Zhang, C. (2024). 3D model classification based on RegNet design space and voting algorithm. Multimedia Tools and Applications, 83, 42391–42412.

3. Gao, X.-Y., Li, K.-P., Zhang, C.-X., & Yu, B. (2021). 3D model classification based on Bayesian classifier with AdaBoost. Discrete Dynamics in Nature and Society, 2021, Article 2154762.

4. Zhang, C.-X., Pang, S.-Y., Gao, X.-Y., Lu, J.-Q., Yu, B., & Jia, Y. (2022). Attention neural network for biomedical word sense disambiguation. Discrete Dynamics in Nature and Society, 2022, Article 6182058.

5. Zhang, C.-X., Shao, Y.-L., & Gao, X.-Y. (2023). Word sense disambiguation based on RegNet with efficient channel attention and dilated convolution. IEEE Access.

 

Abouzar Babaei | Microbiology | Best Researcher Award

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Dr. Abouzar Babaei | Microbiology | Best Researcher Award

Assistant Professor of Medical Virology, Qazvin University of Medical Sciences, Iran

Dr. Abouzar Babaei is an Assistant Professor of Medical Virology at Qazvin University of Medical Sciences, Iran, specializing in translational virology, stem cell therapy, and oncolytic virus-based cancer research. He earned his Ph.D. in Medical Virology from Tarbiat Modares University, Tehran, Iran (2020), with a dissertation evaluating the efficacy of combination therapy using mesenchymal stem cells (MSCs) loaded with oncolytic Reovirus, Irinotecan, and Napabucasin (BBI608) in colorectal cancer mouse models, following an MSc in Medical Virology from Shiraz University of Medical Sciences (2016) focused on the prevalence and phylogenetic characterization of human metapneumovirus, and a BSc and Associate Degree in Veterinary Laboratory Sciences from Tabriz University (2011, 2009). His primary research interests include stem cell-based cancer therapies, oncolytic viruses, antiviral strategies, and virology, with emerging work on nanoparticle-mediated anticancer and antiviral applications. Dr. Abouzar Babaei has extensive laboratory and translational research experience, including MSC extraction and characterization, tumor model development in BALB/c mice, molecular assays (PCR, real-time PCR), virus propagation and titration, hemagglutination and ELISA assays, and in vitro functional studies. His key contributions encompass pioneering MSC-oncolytic virus combination therapies, evaluating copper oxide nanoparticles for anticancer and antiviral effects, and systematic studies of viral prevalence in clinical populations. He has been recognized as Top PhD Student (2018, TMU), Top MSc Student (2015, SUMS), and Top Student in the PhD Board Exam (2018, TMU). He is an active member of the Iranian Society of Medical Virology and the Tarbiat Modares Virology Student Association, contributing to peer-reviewed publications and international collaborations. Dr. Abouzar Babaei has 22 publications, 282 citations, and an h-index of 10. His work advances translational medicine by integrating cutting-edge virology and stem cell technologies to develop novel cancer and antiviral therapies, bridging laboratory research with clinical applications, and promoting global biomedical innovation with societal impact.

Profile: Scopus | ORCID | Google Scholar | ResearchGate | Sci Profiles | Scilit | ScholarGPS | LinkedIn 

Featured Publications

1. Aghbash, P. S., Hemmat, N., Nahand, J. S., Shamekh, A., Memar, M. Y., Babaei, A., … & [additional authors]. (2021). The role of Th17 cells in viral infections. International Immunopharmacology, 91, 107331.

2. Babaei, A., Mousavi, S. M., Ghasemi, M., Pirbonyeh, N., Soleimani, M., & Moattari, A. (2021). Gold nanoparticles show potential in vitro antiviral and anticancer activity. Life Sciences, 284, 119652.

3. Babaei, A., Pouremamali, A., Rafiee, N., Sohrabi, H., Mokhtarzadeh, A., … & [additional authors]. (2022). Genosensors as an alternative diagnostic sensing approaches for specific detection of virus species: A review of common techniques and outcomes. TrAC Trends in Analytical Chemistry, 155, 116686.

4. Babaei, A., Soleimanjahi, H., Soleimani, M., & Arefian, E. (2021). Mesenchymal stem cells loaded with oncolytic reovirus enhances antitumor activity in mice models of colorectal cancer. Biochemical Pharmacology, 190, 114644.

5. Afrakhteh, H., Joharinia, N., Momen, A., Dowran, R., Babaei, A., Namdari, P., … & [additional authors]. (2021). Relative frequency of hepatitis B virus, human papilloma virus, Epstein-Barr virus, and herpes simplex viruses in the semen of fertile and infertile men in Shiraz, Iran: A comparative study. International Journal of Reproductive BioMedicine, 19(8), 699–710.

 

Ningning Cheng | Cancer Research | Best Researcher Award

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Dr. Ningning Cheng | Cancer Research | Best Researcher Award

Attending Physician, Shanghai General Hospital, China

Dr. Ningning Cheng, Ph.D., is an accomplished Attending Physician in the Department of Radiation Oncology at Shanghai General Hospital, affiliated with Shanghai Jiao Tong University School of Medicine, China. She obtained her Ph.D. in Oncology from Tongji University, Shanghai (2012–2015) and her M.Sc. in Oncology from Qingdao University, Qingdao (2009–2012). Her research is primarily focused on radiotherapy dose escalation, PET/CT-guided radiation treatment planning, combined chemoradiotherapy in esophageal and lung cancers, and tumor resistance mechanisms, aiming to enhance precision oncology and patient outcomes. With a deep commitment to integrating clinical oncology with advanced imaging technologies, Dr. Ningning Cheng has made significant contributions to translational cancer research, particularly through studies on PET/CT-directed radiotherapy dose escalation, exemplified by her recent publication in Radiotherapy and Oncology (2025), which improved treatment efficacy in locally advanced esophageal cancer. Professionally, she has served as an Attending Physician (2019–present) and previously as a Physician in the Department of Medical Oncology (2015–2018) at Shanghai General Hospital, demonstrating leadership in both clinical and academic oncology. Her research portfolio includes 14 peer-reviewed publications, accumulating 712 citations with an h-index of 10, reflecting a growing international impact. Dr. Ningning Cheng has participated in several multidisciplinary and institutional research projects funded by national and hospital-level grants. She has been recognized for her outstanding contributions to oncology through institutional awards and honors for research excellence, and she actively engages in peer-review and professional societies dedicated to cancer treatment and radiation medicine. Her long-term vision centers on advancing precision radiotherapy and molecular imaging–based cancer care to improve therapeutic outcomes and global standards in radiation oncology. Through her research, mentorship, and clinical expertise, Dr. Ningning Cheng continues to make meaningful contributions to science, society, and the advancement of personalized cancer therapy.

Profile: Scopus | ResearchGate | PubMed

Featured Publications

1. Cheng, N., Chen, Z., Chen, Y., Hu, Y., Wang, Z., Chen, X., Liu, Q., & Chen, T. (2025). 18F-FDG PET/CT directed radiotherapy dose escalation in locally advanced esophageal cancer (LAEC): A phase I study. Radiotherapy and Oncology, 213, 111176.

2. Sun, Z., Cheng, N., Cai, Z., Ying, Z., Liu, H., Chen, X., Zeng, H., Yin, M., Liu, H., Tan, S., Zhou, X., Zhao, X., & Chen, F. (2025). Multifunctional microsphere dressings via metal ligand bonding engineering for infectious wound healing. Journal of Materials Science & Technology, 219, 158–172.

3. Cheng, N., Liu, Y., Zhao, G., Xu, Y., Zhang, T., Chen, Y., Yan, G., Hu, Y., Yao, S., Wang, Z., Wang, C., Chen, Z., Hu, Z., Liu, D., & Chen, T. (2020). Phase I trial of intensity-modulated hyperfractionated radiotherapy boost with concurrent chemotherapy immediately following standard chemoradiotherapy in patients primarily with advanced intra-thoracic/cervical esophageal squamous cell carcinomas. International Journal of Radiation Oncology, Biology, Physics, 106(2), 340–348.

4. Wang, Q., Li, X., Ren, S., Su, C., Li, C., Li, W., Yu, J., Cheng, N., & Zhou, C. (2020). HOTAIR induces EGFR-TKIs resistance in non-small cell lung cancer through epithelial-mesenchymal transition. Lung Cancer, 147, 99–105.

 

Jiajia Cai | Environmental Engineering | Best Researcher Award

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Dr. Jiajia Cai | Environmental Engineering | Best Researcher Award

Lecture, Anhui University of Technology, China

Dr. Jiajia Cai is a Lecturer at the School of Energy and Environmental Engineering, Anhui University of Technology, China, where she leads research on photoelectrochemical corrosion protection, renewable energy conversion, and AI-driven materials discovery. She earned her Ph.D. in Materials Science from Northeastern University in 2016, following an M.Sc. in Analytical Chemistry (2011) and a B.Sc. in Applied Chemistry (2009), all from Northeastern University, China. Her research focuses on developing advanced photoelectrochemical materials for sustainable energy applications, including photoelectrocathodic protection (PCP) for metals, green hydrogen production via water splitting, and AI-assisted design of novel semiconductor photoanodes. Professionally, Dr. Jiajia Cai has served as a Lecturer at Anhui University of Technology since 2016, a Postdoctoral Researcher at the National University of Singapore (2019–2020) focusing on optimization of photoanode materials, and a Visiting Scholar at Tsinghua University (2024–2025) emphasizing AI applications in materials science. Her key contributions include the design and fabrication of highly efficient photoanodes using morphology engineering, heterojunction construction and cocatalyst loading strategies, bridging fundamental photoelectrochemistry with practical corrosion prevention technologies and publishing over 50 SCI-indexed papers (58 documents, 877 citations, h-index 17), along with 4 patents under publication or review. She has led multiple national and provincial research projects, including funding from the National Natural Science Foundation of China and Anhui Provincial Natural Science Foundation, as well as support from the Key Lab for Anisotropy and Texture of Materials (ATM), Ministry of Education. Dr. Jiajia Cai is an active member of the Chinese Chemical Society and collaborates with leading institutions such as Tsinghua University, National University of Singapore, and Northeastern University. Her work significantly advances sustainable energy solutions, corrosion protection, and AI-driven materials discovery, contributing to environmental engineering, industrial innovation, and global scientific knowledge. Dr. Jiajia Cai’s research excellence, leadership, and vision position her to continue making transformative contributions to renewable energy and advanced material technologies worldwide.

Profile: Scopus | ORCID | Google Scholar | ResearchGate | Sci Profiles | Scilit

Featured Publications

1. Cai, J., Zhang, Z., Zu, S., Cui, A., Li, X., Xie, Q., Mao, K., & Chen, J. (2025). Built-in electric field in BiVO₄-SnO₂ heterostructure for enhanced photoelectrochemical H₂O₂ production. Fuel, 405, 136762.

2. Zhu, S., Cai, Z., Wang, Y., Wang, J., Cai, J., Xie, Q., & Huang, Z. (2025). Enhanced photoelectrochemical cathodic protection on steel in marine environment by cascade heterojunctions. Construction and Building Materials, 493, 143255.

3. Zhu, S., Xu, F., Wang, Y., Cai, J., Xie, Q., Yang, Y., & Huang, Z. (2025). Experimental study on heat transfer characteristics of a moving single-nozzle jet impingement. ISIJ International, 65(9), 1348–1358.

4. Xie, Q., Cai, Z., Wang, Y., Cai, J., Wang, J., & Sun, S. (2025). Efficient Z-scheme of 2D ZnIn₂S₄/3D TiO₂ for enhanced photoelectrochemical cathodic protection. Journal of Environmental Chemical Engineering, 13(5), 118305.

5. Chen, Q., Zhu, S., Xin, Z., Wang, D., Cai, J., Li, H., & Ding, S. (2024). Surfactant-assisted synthesis of NiCo alloy with specific nanopore architecture as a bifunctional electrocatalyst for rechargeable zinc-air batteries. Functional Materials Letters, 17(04), 451021.

 

R Sagaya Jansi | Biotechnology | Best Researcher Award

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DR. R Sagaya Jansi | Biotechnology | Best Researcher Award

Assistant Professor, Stella Maris College, India

Dr. R Sagaya Jansi is an Assistant Professor in the PG Department of Bioinformatics at Stella Maris College, India, where she has served as Head of the Department since November 2019 and currently coordinates the IQAC. She earned her Ph.D. in Biotechnology (Plant Biology and Plant Biotechnology) and an M.Phil. in Plant Biology and Plant Biotechnology from Loyola College, Chennai, India, along with an M.Sc. in Biotechnology from Loyola College and a B.Sc. in Advanced Zoology and Biotechnology from Stella Maris College. She has also cleared CSIR-NET (Life Sciences, 2018), SET (Life Sciences, 2012) and GATE (2011). Dr. Jansi’s research focuses primarily on plant biotechnology and the integration of bioinformatics in molecular modeling, computer-aided drug design, genomics, and proteomics, with emerging work bridging computational approaches and molecular biology to address challenges in biomedical and plant sciences. She has extensive teaching and research experience, having served as Assistant Professor at Loyola College, Research Assistant at the Bioinformatics Infrastructure Facility (DBT, Madras Christian College), and educator at Our Lady’s Matriculation Higher Secondary School, handling subjects including molecular biology, clinical research management, bioinformatics, programming in C++, and biophysics. Her key contributions include docking studies of bioflavonoids targeting anti-apoptotic pathways, development of bioinformatics infrastructure, and designing interdisciplinary educational programs that integrate biotechnology and computational biology. She has been recognized with the T. A. Venkateswaran Prize (II Rank, M.Sc.) and a Gold Medal (I Rank, M.Phil.), alongside multiple institutional awards for research and academic excellence. Dr. R Sagaya Jansi actively participates in academic societies, departmental leadership and IQAC coordination, mentoring students and contributing to curriculum development. Her work advances scientific understanding, fosters innovation, and supports global knowledge dissemination. Author metrics: 7 documents, 70 citations, h-index 4. With strong potential for international collaborations, Q1 publications, and research leadership, Dr. R Sagaya Jansi is highly deserving of recognition for advancing bioinformatics and biotechnology research excellence.

Profile: Scopus | ORCID | ResearchGate | Scispace | Stella Maris College | LinkedIn

Featured Publications

1. Sagaya Jansi, R., Khusro, A., Agastian, P., Kumar, G. A., Kadaikunnan, S., Khaled, J. M., & Thiruvengadam, M. (2024). Bioassay-guided fractionation and in vitro and in silico biological activities of 2,4-di-tert-butylphenol isolated from Nocardiopsis sp. strain LC-8. Chinese Journal of Analytical Chemistry.

2. Latha, R., Sarkar, T., Sagaya, J. R., & Agastian, P. (2015). Evaluation of antimicrobial efficiency and alpha-glucosidase inhibition of Rubus ellipticus Smith. leaf extracts and its phytochemical analysis. Asian Journal of Pharmaceutical and Clinical Research, 8(2), 422–426.

3. Latha, R., Saravana Kumar, P., Sagaya Jansi, R., Venkatadri, B., & Agastian, P. (2015). Antimicrobial efficacy and α-glucosidase inhibition of Passiflora mollissima Bailey leaves and its phytochemical analysis. International Journal of Pharmaceutical Research and BioScience, 4(4), 62–78.

4. Aparna, K., Sagaya Jansi, R., Arul Samraj, D., & Joyce PriyaKumari, C. (2013). Homology modelling and docking studies of phospholipase A2 enzyme of Apis mellifera. Journal of Current Pharmaceutical Research, 11(1), 33–37.

5. Joyce Priyakumari, C., Aparna, K., Sagaya Jansi, R., & Gladies Kezia. (2014). Phytochemical analysis of Didymocarpus pedicellatus. International Journal of Pharmaceutical Sciences Review and Research, 25(1), 307–309.

 

Priyanka Garg | Health and Medicine | Best Researcher Award

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Ms. Priyanka Garg | Health and Medicine | Best Researcher Award

Assistant Professor, Lovely Professional University, India

Ms. Priyanka Garg is currently serving as an Assistant Professor at the School of Pharmaceutical Sciences, Lovely Professional University (LPU), Punjab, India, where she contributes actively to academic instruction, clinical research, and student mentorship. She holds an M.Pharm in Pharmacy Practice (2022) and a B.Pharm (2020), both from Lovely Professional University, with specialization in pharmacotherapy, pharmacovigilance, and patient-centered care. Her primary research interests encompass pharmacogenomics, clinical pharmacology, women’s health, chronic disease management, and the role of gut microbiota in metabolic disorders, with emerging work focusing on personalized medicine for PCOS and Ehlers-Danlos Syndrome. Professionally, she has served at LPU since January 2023 and previously trained at Shiva Biogenetic Pharmaceuticals Pvt. Ltd. and Doaba Hospital Pvt. Ltd., where she gained practical expertise in manufacturing, IPQC, patient monitoring, and clinical data analysis. Her key contributions include two granted copyrights—“Laboratory and Clinical Result for Polycystic Ovary Syndrome” (2024) and “Clinical Findings for Ehlers-Danlos Syndrome” (2025)—and several impactful presentations at national and international conferences such as SHE-SCIENCE 2025 and the International Conference of Pharmacy series. She has published indexed research in reputed journals including Obesity Medicine and Human Gene. Her scholarly influence is reflected through her author metrics: 3 documents, 25 citations and an h-index of 2. Among her awards and honors, she was recognized for her publication on Type 2 Diabetes Mellitus and Quality of Life (2022) and received accolades for her leadership roles as Faculty Coordinator and Organizing Committee Member for major scientific events at LPU. Additionally, she serves as a Reviewer for the Population Medicine Journal and engages in academic outreach, environmental awareness, and student development programs. Through her interdisciplinary research and commitment to education, Ms. Priyanka Garg aims to advance pharmacogenomics-based therapeutic strategies and promote evidence-driven healthcare innovation that bridges scientific discovery with societal impact.

Profile: Scopus | ORCID | ResearchGate

Featured Publications

1. Garg, P., & Yanadaiah, P. (2025). Assessment of quality of life among type 2 diabetes mellitus and hypertensive patients in Punjab region: A WHOQoL-BREF based hospital study. Obesity Medicine, 58, 100651.

2. Garg, P., Jallepalli, V. R., & Verma, S. (2024). Unravelling the CXCL12/CXCR4 axis in breast cancer: Insights into metastasis, microenvironment interactions, and therapeutic opportunities. Human Gene, 40, 201272.

3. Garg, P., & Duggal, N. (2022). Type 2 diabetes mellitus, its impact on quality of life and how the disease can be managed–A review. Obesity Medicine, 35, 100459.

 

Paul Padovani | Health and Medicine | Best Researcher Award

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Dr. Paul Padovani | Health and Medicine | Best Researcher Award

Pediatric cardiologist, University Hospital of Nantes, France

Dr. Paul Padovani is a Junior Doctor in Pediatric and Congenital Cardiology (MD, MSc in Clinical Research) at Nantes University Hospital (CHU de Nantes), France, where he integrates clinical practice, research, and digital health innovation to enhance outcomes for children with congenital heart disease. He earned his MD and MSc in Clinical Research, completing specialized cardiovascular medicine training after ranking 372nd in the French National Exam (ECN), with rotations in leading French university hospitals. His research focuses on pediatric and congenital interventional cardiology, quality-of-life assessment and exercise physiology in CHD, simulation-based medical education, and the development of AI/NLP pipelines integrated with OMOP Common Data Model (CDM) to enable structured healthcare data analysis. Professionally, he has contributed to over ten major research projects, including QUALISYSTEMIC, the first nationwide study on systemic right ventricle quality of life, and SIMUL-CHD, a randomized controlled trial on simulation-based communication training, while also leading AI-driven multicenter data initiatives. Dr. Paul Padovani has published 14 peer-reviewed articles, achieving 56 citations and an h-index of 4, reflecting his emerging impact in pediatric cardiology and digital health. He has received competitive research grants and recognition for advancing multicenter clinical studies and digital health programs. He is an active member of the French Society of Pediatric Cardiology (SFCP) and the Association for European Paediatric and Congenital Cardiology (AEPC), participating in international collaborations and peer-reviewed research efforts. His skills encompass clinical trial design, pediatric interventional procedures, simulation-based education, quality-of-life assessments, and AI-enabled data integration. Dr. Paul Padovani’s vision is to bridge clinical innovation, research, and education, improving patient outcomes, fostering reproducible research, and mentoring future leaders. His work is transforming pediatric cardiology, advancing digital health solutions, and establishing him as a globally recognized emerging leader in health and medicine.

Profile: Scopus | ORCID | ResearchGate | Sci Profiles | Scilit | LinkedIn

Featured Publications

1. Padovani, P., Singh, Y., Pass, R. H., Vasile, C. M., Nield, L. E., & Baruteau, A.-E. (2023). E-health: A game changer in fetal and neonatal cardiology? Journal of Clinical Medicine, 12(21), 6865.

2. Vasile, C. M., Padovani, P., Rujinski, S. D., Nicolosu, D., Toma, C., Turcu, A. A., & Cioboata, R. (2023). The increase in childhood obesity and its association with hypertension during pandemics. Journal of Clinical Medicine, 12(18), 5909.

3. Dardari, M., Iorgulescu, C., Bataila, V., Deaconu, A., Cinteza, E., Vatasescu, R., Padovani, P., Vasile, C. M., & Dorobantu, M. (2023). Transvenous lead extraction in a European low-volume center without on-site surgical support. Reports, 6(3), 41.

4. Dardari, M., Cinteza, E., Vasile, C. M., Padovani, P., & Vatasescu, R. (2023). Infective endocarditis among pediatric patients with prosthetic valves and cardiac devices: A review and update of recent emerging diagnostic and management strategies. Journal of Clinical Medicine, 12(15), 4941.

5. Padovani, P., Grunenwald Gronier, C., & Baruteau, A.-E. (2023). Midline crossing right pulmonary veins with dual drainage to the left atrium. Cardiology in the Young, 33(2), 305–308.

 

Dhekra Ben Amara | Environmental Science | Best Researcher Award

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Dr. Dhekra Ben Amara | Environmental Science | Best Researcher Award

Associate professor, Qingdao Hengxing University of Science and Technology, China

Dr. Dhekra Ben Amara is an agricultural economist and sustainability researcher specializing in environmental science, eco-innovation, climate change and circular economy, with a strong focus on sustainable development and green growth. She earned her Engineering degree in Agricultural and Agri-Food Economics and Management from the National Agronomic Institute of Tunisia in 2010, followed by an M.Sc. in Economy of Agriculture, Agri-Food and Environment in 2013 and completed her Ph.D. in Agricultural Economics and Management at Northeast Forestry University, Harbin, China, in 2021. Her professional experience includes serving as Administrative Officer in the Internship and International Cooperation Department at ESPRIT: Private High School of Engineering and Technologies in Tunisia (2021–2022), where she promoted student engagement and international partnerships, followed by her postdoctoral fellowship at Henan University, China (2022–2025), where she focused on eco-innovation, carbon emissions, foreign investment and Africa-China cooperation in green growth and food security. In 2025, she was appointed Associate Professor at the School of Industry and City, Qingdao Hengxing University of Science and Technology, China. Her research interests center on sustainability, eco-innovation, climate change, circular economy, food security and resource and environmental management and she has actively contributed to international projects such as the China–Tunisia biomass valorization initiative promoting bio-circular green economies. Skilled in research tools such as IBM SPSS, SPSS AMOS, SmartPLS3, STATA, GeoDA and ArcMap, she demonstrates strong technical and analytical expertise. She has authored 12 Scopus-indexed publications with 245 citations and an h-index of 8, with articles published in leading journals including Journal of Cleaner Production and Environmental Science and Pollution Research. Her achievements have been recognized with the NEFU Outstanding Graduate Award (2021), a Second Prize at the NEFU International Students’ Academic Forum and an Excellence Award in the “My Story in NEFU” contest. With her international academic background, growing research impact and leadership in eco-innovation, Dr. Dhekra Ben Amara is well-positioned to advance environmental sustainability research and contribute to global solutions addressing climate change and sustainable development.

Profile: Scopus | ORCID | Google Scholar | ResearchGate | Sci Profiles | Web of Science | ACM Digital Library | LinkedIn  

Featured Publications

1. Ben Amara, D., & Chen, H. (2020). A mediation-moderation model of environmental and eco-innovation orientation for sustainable business growth. Environmental Science and Pollution Research, 27(14), 16916–16928.

2. Ben Amara, D., & Chen, H. (2022). Driving factors for eco-innovation orientation: Meeting sustainable growth in Tunisian agribusiness. International Entrepreneurship and Management Journal, 18(2), 713–732.

3. Ben Amara, D., & Qiao, J. (2023). From economic growth to inclusive green growth: How do carbon emissions, eco-innovation and international collaboration develop economic growth and tackle climate change? Journal of Cleaner Production, 425, 138986.

4. Ben Amara, D., & Chen, H. (2020). Investigating the effect of multidimensional network capability and eco-innovation orientation for sustainable performance. Clean Technologies and Environmental Policy, 22(6), 1297–1309.

5. Ben Amara, D., & Chen, H. (2021). The impact of participative decision-making on eco-innovation capability: The mediating role of motivational eco-innovation factors. Environment, Development and Sustainability, 23(5), 6966–6986.

 

Abdelmalak Mansour | Geology | Best Researcher Award

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Dr. Abdelmalak Mansour | Geology | Best Researcher Award

Researcher, University of Oslo, Norway

Dr. Abdelmalak Mansour is a senior geophysicist and geologist researcher with extensive expertise in 2D/3D seismic interpretation, basin analysis, and structural geology, specializing in the tectonic and lithospheric evolution of sedimentary basins and rifted continental margins. He earned his Ph.D. in Tectonics and Structural Geology from the Geodynamic Laboratory, UMR-CNRS 6112, Le Mans University, France, in 2010, where his doctoral research focused on the Central West Greenland sedimentary basin, combining field observations, seismic interpretation and organic geochemistry. He also holds a Master’s degree in Geology and Geophysics from the University of Rennes 1, France and a Bachelor’s in Earth Sciences from the University of Sfax, Tunisia. Professionally, Dr. Abdelmalak Mansour has held positions as a researcher at the University of Oslo and Arctic University of Norway, senior geophysicist-geologist at Volcanic Basin Energy Research (VBER) and Volcanic Basin Petroleum Research (VBPR) and consultant for IODP proposals, contributing to key projects such as the 4D NE Atlantic Project and the OMNIS Project. His research interests encompass seismic interpretation, basin modeling, crustal architecture, structural inheritance, rifted margin evolution and organic matter analysis, integrating fieldwork, seismic acquisition, GIS and geophysical datasets. He has authored over 50 scientific publications, presented at more than 50 international conferences and co-supervised multiple MSc and Ph.D. students, demonstrating leadership in mentorship, curriculum development and international collaborations. Dr. Abdelmalak Mansour’s professional skills include seismic interpretation (SMT Kingdom Suite, Petrel), basin analysis (TecMod, PetroMod), GIS and cartography (ArcGIS, QGIS), experimental modeling and reservoir characterization. He has been recognized for his contributions through multiple research awards and international collaborations, with an author metric of 41 documents, 954 citations and an h-index of 17. With his comprehensive expertise, impactful publications and global research network, Dr. Abdelmalak Mansour is well-positioned to advance geoscience research, mentor emerging scientists and contribute to innovative projects that deepen the understanding of rifted continental margins and sedimentary basin evolution worldwide.

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Featured Publications

1. Abdelmalak, M. M., Planke, S., Faleide, J. I., Jerram, D. A., Zastrozhnov, D., Eide, S., … others. (2016). The development of volcanic sequences at rifted margins: New insights from the structure and morphology of the Vøring Escarpment, mid‐Norwegian Margin. Journal of Geophysical Research: Solid Earth, 121(7), 5212–5236.

2. Abdelmalak, M. M., Mourgues, R., Galland, O., & Bureau, D. (2012). Fracture mode analysis and related surface deformation during dyke intrusion: Results from 2D experimental modeling. Earth and Planetary Science Letters, 359, 93–105.

3. Planke, S., Millett, J. M., Maharjan, D., Jerram, D. A., Abdelmalak, M. M., Groth, A., … others. (2017). Igneous seismic geomorphology of buried lava fields and coastal escarpments on the Vøring volcanic rifted margin. Interpretation, 5(3), SK161–SK177.

4. Abdelmalak, M. M., Andersen, T. B., Planke, S., Faleide, J. I., Corfu, F., Tegner, C., … others. (2015). The ocean-continent transition in the mid-Norwegian margin: Insight from seismic data and an onshore Caledonian field analogue. Geology, 43(11), 1011–1014.

5. Zastrozhnov, D., Gernigon, L., Gogin, I., Planke, S., Abdelmalak, M. M., Polteau, S., … others. (2020). Regional structure and polyphased Cretaceous-Paleocene rift and basin development of the mid-Norwegian volcanic passive margin. Marine and Petroleum Geology, 115, 104269.