Jack Ng Kok Wah | Public Health | Best Health Science Research Award

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Dr. Jack Ng Kok Wah | Public Health | Best Health Science Research Award

Senior Lecturer | Multimedia University | Malaysia

 

Dr. Jack Ng Kok Wah’s research lies at the intersection of artificial intelligence (AI), surgical innovation, and biomedical engineering, with a strong emphasis on developing AI-driven robotic systems that enhance precision, reduce surgical risks, and revolutionize patient outcomes. His body of work demonstrates a deep commitment to integrating machine learning algorithms and intelligent automation into modern surgical practices, thereby addressing one of the most critical needs in healthcare—precision and safety in complex procedures.A significant aspect of his research explores how robotic technologies and AI-assisted decision systems can transform traditional surgical approaches. By leveraging real-time data analytics, sensor fusion, and computer vision, Dr. Wah contributes to the design of systems that support surgeons in performing minimally invasive procedures with unprecedented accuracy. His work not only advances the technical frontiers of robotic surgery but also examines the broader ethical, clinical, and operational implications of implementing such technologies in real-world healthcare environments.Beyond surgical robotics, Dr. Wah’s research interests extend to digital health innovation, medical imaging, and intelligent clinical systems. He investigates how data-driven approaches can improve diagnostic accuracy, predict patient outcomes, and personalize treatment protocols. Through his publications, he emphasizes the transformative potential of AI to bridge gaps between human expertise and machine efficiency, promoting a synergistic model of healthcare delivery that enhances both safety and accessibility.With a growing citation record and interdisciplinary collaborations, Dr. Wah continues to contribute to the advancement of next-generation medical technologies that merge computing power with human insight. His vision encapsulates a future where AI and robotics are not merely tools but trusted partners in surgical and clinical decision-making, ultimately redefining standards of care in the medical field. His scholarly contributions reinforce his standing as a forward-thinking researcher committed to shaping the future of intelligent healthcare systems and precision surgery.

Profiles: Scopus | ORCID | Google Scholar | ResearchGate 

Featured Publications

  1. Wah, J. N. K. (2025). Revolutionizing surgery: AI and robotics for precision, risk reduction, and innovation. Journal of Robotic Surgery, 19(Article No. 47).
    Citations: 39

  2. Wah, J. N. K. (2025). Revolutionizing e-Health: The transformative role of AI-powered hybrid chatbots in healthcare solutions. Frontiers in Public Health, 13.
    Citations: 29

  3. Wah, J. N. K. (2025). The rise of robotics and AI-assisted surgery in modern healthcare. Journal of Robotic Surgery, 19(1), 311.
    Citations: 13

  4. Ng, J., Wah, K., Fitriana, M., & Arumugam, T. (2023). Assumptions for structural equation modeling (SEM), normality of data distribution analysis & model fit measures. In Normality of Data Distribution Analysis & Model Fit Measures.
    Citations: 12

  5. Wah, K., & Ng, J. (2025). AI-driven robotic surgery in oncology: Advancing precision, personalization, and patient outcomes. Journal of Robotic Surgery, 19(1), 1–11.
    Citations: 7

Dr. Jack Ng Kok Wah envisions a future where artificial intelligence and robotic systems seamlessly integrate into healthcare, enabling safer, smarter, and more precise surgical interventions. His pioneering research drives innovations that enhance patient outcomes, optimize clinical workflows, and redefine the frontiers of intelligent medicine.

Teng Zhang | Physics | Best Researcher Award

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Dr. Teng Zhang | Physics | Best Researcher Award

Senior Experimentalist | Hubei University | China

Dr. Teng Zhang is a prominent researcher at Hubei University for Nationalities in Enshi, China, specializing in advanced materials science and optoelectronic devices. His academic journey includes a Ph.D. in Materials Science, with a focus on semiconductor thin films and functional nanomaterials. Professionally, he serves as a faculty member in the Department of Physics, where he leads research initiatives on wide-bandgap semiconductors, two-dimensional materials, and multifunctional heterostructures.Dr. Zhang’s research interests encompass the growth mechanisms, structural properties, and device applications of materials such as BeMgZnO quaternary alloys, VO₂-based composites, and ZnIn₂S₄ nanoflakes. His work aims to enhance the performance of photodetectors, gas sensors, and energy storage devices through innovative material design and fabrication techniques. He employs advanced methods like pulsed laser deposition, electron-beam evaporation, and density functional theory simulations to investigate and optimize material properties.His research skills include thin-film deposition, structural and optical characterization, device fabrication, and computational modeling. Dr. Zhang has contributed to numerous peer-reviewed publications, with over 250 citations, reflecting the impact of his work in the field. He has collaborated with various researchers, fostering interdisciplinary approaches to material science.While specific awards and honors are not detailed in the available information, Dr. Zhang’s consistent publication record and active participation in scientific discourse underscore his recognition within the academic community.In conclusion, Dr. Teng Zhang’s multifaceted expertise and dedication to advancing material science position him as a valuable contributor to the development of next-generation electronic and optoelectronic technologies.

Profiles: Scopus | ORCID

Featured Publications

Zhang, T., Zhang, Y., Ren, D., Zhu, Y., & Yi, J. (2026). Polar and non-polar growth of BeMgZnO quaternary alloy thin films for deep ultraviolet photodetectors. Materials Science in Semiconductor Processing, 126, 110152.

Zhang, T., Zhang, Y., Ren, D., Zhu, Y., & Yi, J. (2026). Polar and non-polar growth of BeMgZnO quaternary alloy thin films for deep ultraviolet photodetectors. Materials Science in Semiconductor Processing, 126, 110152.

 

Shinichiro Sawa | Medicine | Best Researcher Award

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Dr. Shinichiro Sawa | Medicine | Best Researcher Award

Professor | Kyushu University | Japan 

Dr. Shinichiro Sawa is a highly accomplished Japanese immunologist and medical researcher renowned for his pioneering work in immune regulation, autoimmunity, and inflammation. He currently serves as a Professor at the Institute of Bioregulation, Kyushu University, Japan, where he leads innovative studies in molecular and cellular immunology. Dr. Sawa began his academic journey at Osaka University, earning his Medical Degree (M.D.) in 2000 and subsequently his Ph.D. in Medicine in 2006 from the same institution, where he developed a strong foundation in biomedical sciences and experimental medicine. His professional trajectory includes significant academic roles as Assistant Professor at the University of Tokyo (2011–2016) and Associate Professor at Hokkaido University’s Institute for Genetic Medicine (2016–2018) before joining Kyushu University in 2019. Dr. Sawa’s research interests center on understanding how immune cells, such as γδ T cells, fibroblasts, and plasma cells, interact with tissue environments to regulate immune tolerance, autoimmunity, and inflammatory diseases. His studies, published in prestigious journals such as Nature Immunology, Journal of Clinical Investigation, and Journal of Investigative Dermatology, have shed light on how fibroblasts contribute to central immune tolerance and how plasma cells promote osteoclastogenesis in autoimmune arthritis. His research skills encompass cellular immunology, molecular signaling analysis, animal modeling of immune diseases, flow cytometry, and translational immunopathology, demonstrating both depth and precision in experimental design and interpretation. Recognized for his scientific contributions, Dr. Sawa has received numerous academic honors and research recognitions throughout his career, reflecting his influence in the global immunology community. In conclusion, Dr. Shinichiro Sawa stands as a leading figure in immunological research, bridging basic science and clinical application to advance our understanding of immune homeostasis and to pave the way for novel therapeutic strategies against autoimmune and inflammatory disorders.

Profiles: Scopus | ORCID

Featured Publications

  1. Nonaka, D., Yoshida, S., Nakano, K., Li, X., Okamura, T., Umemoto, E., Yamada, T., Watanabe, M., Jinno, S., Ito, M., Tsuda, M., Noguchi, N., Jiang, X.-J., Sumiya, E., & Sawa, S. (2025). Fibroblast-derived CSF1 maintains colonization of gut mucosal macrophage to resist bacterial infection. Mucosal Immunology.

  2. Onji, M., Sigl, V., Lendl, T., Novatchkova, M., Ullate-Agote, A., Andersson-Rolf, A., Kozieradzki, I., Koglgruber, R., Pai, T.-P., Lichtscheidl, D., Nayak, K., Zilbauer, M., Carranza García, N.-A., Sievers, L., Falk-Paulsen, M., Cronin, S. J. F., Hagelkruys, A., Sawa, S., Osborne, L. C., Rosenstiel, P., Pasparakis, M., Ruland, J., Takayanagi, H., Clevers, H., Koo, B.-H., & Penninger, J. M. (2025). RANK drives structured intestinal epithelial expansion during pregnancy. Nature, 637(8044), 156–166.

  3. Nitta, T., Tsutsumi, M., Nitta, S., Muro, R., Suzuki, E. C., Nakano, K., Tomofuji, Y., Sawa, S., Okamura, T., Penninger, J. M., & Takayanagi, H. (2020). Fibroblasts as a source of self-antigens for central immune tolerance. Nature Immunology, 21(10), 1172–1180.

  4. Nagashima, K., Sawa, S., Nitta, T., Tsutsumi, M., Okamura, T., Penninger, J. M., Nakashima, T., & Takayanagi, H. (2017). Identification of subepithelial mesenchymal cells that induce IgA and diversify gut microbiota. Nature Immunology, 18(6), 675–682.

  5. Onder, L., Mörbe, U., Pikor, N., Novkovic, M., Cheng, H.-W., Hehlgans, T., Pfeffer, K., Becher, B., Waisman, A., Rülicke, T., Gommerman, J., Müller, C., Sawa, S., Scandella, E., & Ludewig, B. (2017). Lymphatic endothelial cells control initiation of lymph node organogenesis. Immunity, 47(1), 80–92.

 

Yigit Akin | Medicine | Best Researcher Award

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Prof. Dr. Yigit Akin | Medicine | Best Researcher Award

Yigit Akin | Izmir Kâtip Celebi University School of Medicine | Turkey

Professor Yigit Akin is a distinguished urologist and academic leader specializing in uro-oncology, robotic surgery, and minimally invasive laparoscopy. He earned his M.D. from Ege University Faculty of Medicine in 2004 and completed advanced training in robotics, laparoscopy, and uro-oncology at Klinikum Heilbronn, Germany, between 2013 and 2014. Currently, he serves as Head of Urology at Izmir Katip Celebi University, Turkey, leading one of the country’s premier uro-oncology centers. With over 210 peer-reviewed publications, 14 book chapters, and editorial board memberships in international journals, his contributions are well recognized in PubMed and IEEE-indexed forums. He has directed multiple multidisciplinary and international research projects, notably pioneering the extraperitoneal laparoscopic radical prostatectomy using 3 trocars (#3trocarsELRP), with more than 1300 successful procedures. A global mentor in laparoscopic surgery, Prof. Akin has conducted live surgical workshops and training in over 10 countries, while also supervising international clinical fellows. His leadership extends to community-based medical training, editorial contributions, and professional memberships in leading medical and surgical associations. Prof. Akin is strongly positioned to lead next-generation cancer genetics and surgical innovation research. His expertise in developing novel laparoscopic techniques, combined with mentorship of global fellows, demonstrates the potential to advance robotic uro-oncology surgery, elevate Q1 journal contributions, and strengthen international collaborations that will shape the future of minimally invasive urology worldwide.

Profile: ORCID 

Featured Publications

orulmaz, E. M., Dönmez, K., Görgel, S. N., & Akin, Y. (2025). Penil fraktür nedeniyle opere edilen hastaların klinik sonuçları ve komplikasyonlarla ilişkili faktörler: 10 yıllık sonuçlarımız. Androloji Bülteni.

Tekinaslan, H., Görgel, S. N., & Akin, Y. (2025). Malekot kateter kırığına bağlı retroperitoneal yabancı cisim: Nadir bir olgu sunumu. Endouroloji Bülteni.

Dama, M., Yorulmaz, E. M., Özcan, S., Köse, O., Görgel, S. N., & Akin, Y. (2025). AISI, SIRI, and MLR in predicting surgical outcomes after radical cystectomy: Revisiting inflammatory risk markers. Medicina, 61(10), 1756.

Dama, M., Yorulmaz, E. M., Özcan, S., Köse, O., Görgel, S. N., & Akin, Y. (2025). Optimising imaging strategies in suspected urolithiasis: Effects on diagnostic and therapeutic timelines. Harran Üniversitesi Tıp Fakültesi Dergisi.

Özcan, S., Dama, M., Yorulmaz, E. M., Köse, O., Görgel, S. N., & Akin, Y. (2025). Holmium laser enucleation of the prostate and postoperative dysuria: A 20-year bibliometric perspective. Trends in Surgical Sciences.

 

Nassim Bout | Computer Science | Best Researcher Award

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Mr. Nassim Bout | Computer Science | Best Researcher Award

Senior Central Officer |  Hassan II University of Casablanca | Morocco

Mr. Nassim Bout is an accomplished adjunct professor and researcher in computer engineering, healthcare information systems, and artificial intelligence, recognized for his innovative contributions to AI-driven healthcare solutions, digital hospital services, and bioinformatics applications. He holds a Ph.D. in Engineering Sciences (Computer Engineering) from ENSEM, Hassan II University, Casablanca (2021–2024), and a Research Master’s in Management and Modeling of Complex Information Systems from ENSIAS, Mohammed V University, Rabat (2019–2021), reflecting a strong academic foundation in both technical and management aspects of complex information systems. Professionally, he has served as Senior Central Officer at the Ministry of Interior, coordinating digital transformation and IT services, as well as Product Owner at Netopia Solutions, where he led IT ecosystem studies and consulting for healthcare institutions. He has also contributed to Afrihealth Solutions as a software engineer, implementing hospital information systems across multiple regions. His research interests include AI integration in patient-centered healthcare, enterprise architecture in oncology, bioinformatics, and healthcare digital transformation. Mr. Bout possesses advanced skills in artificial intelligence and machine learning (deep learning, NLP, computer vision), algorithms and programming (C, C++, Python, JavaScript, PHP, Django), system design and architecture (TOGAF, UML, ArchiMate), project management frameworks (Agile, SCRUM, KANBAN), database management (SQL, PostgreSQL, Oracle DB), and bioinformatics tools, alongside strong communication and organizational abilities. He has an extensive publication record in reputed journals and conferences, including Discover Internet of Things, IJECE, Springer Lecture Notes, and ISDA proceedings, with citations by 1 document, 1 document, and an h-index reflecting his scholarly impact. He actively participates in professional societies as a reviewer for TELKOMNIKA, Digital Health, Cyber-physical Systems, and Network Modeling Analysis in Health Informatics and leads social inclusion initiatives through e-MOBADARA. Awards and honors include international conference recognitions and certifications in project management, scientific publishing, and bioinformatics training. In conclusion, Mr. Bout demonstrates exceptional interdisciplinary expertise, leadership, and scholarly influence, with strong potential to advance global research in AI-driven healthcare systems, mentor emerging researchers, and contribute to high-impact publications, international collaborations, and societal development through innovative healthcare technologies.

Profiles: Scopus | ORCID | Google Scholar

Featured Publications

  1. Bout, N., Khazaz, R., Azougaghe, A., El-Hfid, M., Abik, M., & Belhadaoui, H. (2021). Implementation of the business process model and notation in the modelling of patient’s clinical workflow in oncology. International Conference on Intelligent Systems Design and Applications, 576–586. Citations: 2

  2. Bout, N., Moukhliss, G., Belhadaoui, H., Afifi, N., & Abik, M. (2025). Integrating emotional AI, IoT, and robotics for patient-centered healthcare: Challenges and future directions. Discover Internet of Things, 5(75), 18. Citations: 1

  3. Bout, N., Azougaghe, A., Belhadaoui, H., El-Hfid, M., & Khazaz, R. (2022). Business process model and notation implemented in the hospital, any use? Case of the patient clinical workflow. Journal of Network and Innovative Computing, 10, 8–8. Citations: 1

  4. Bout, N., Ouzayd, F., & Retmi, K. (2025). Erratum for Role of Hospital Digital Services in Improvement of Clinical Regime of Patients [Health Tech Asmnt Act. 2021; 5(1)]. Health Technology Assessment in Action.

  5. Bout, N., Belhadaoui, H., Afifi, N., Abik, M., El-Hfid, M., & Azougaghe, A. (2025). Towards a standardized enterprise architecture: Enhancing decision-making in oncology multidisciplinary team meetings. International Journal of Electrical and Computer Engineering (IJECE), 15(2), 2224–2236.