Kazuyoshi Tsuchiya | Mechanical Engineering | Research Excellence Award

Prof. Kazuyoshi Tsuchiya | Mechanical Engineering | Research Excellence Award

professor | Tokai University | Japan

Prof. Kazuyoshi Tsuchiya is a distinguished researcher at Tokai University, Japan, recognized for his extensive contributions to materials science, microfabrication, sensing technologies, and energy-harvesting systems. His research interests span microfluidic device engineering, magnetoelectric composites, triboelectric energy harvesting, flexible biosensors, porous polymer materials, thin-film semiconductor sensing systems, and advanced polymer-composite frameworks for biomedical applications. He is skilled in micro/nanofabrication, piezoelectric–fluid simulations, thin-film deposition, sensor integration, microelectromechanical systems (MEMS), polymer chemistry, and applied materials characterization. With a strong collaborative profile involving more than 180 co-authors, he has produced 141 Scopus-indexed documents, achieving 1,380 citations  and an impressive h-index of 19. Prof. Tsuchiya has contributed to cutting-edge developments such as flexible microneedle sensors, on-skin pH sensing films, porous PVDF/PMMA matrices, and magnetoelectric composite innovations. His work has also been supported by multiple awarded research grants. Overall, Prof. Tsuchiya’s impactful and interdisciplinary research continues to advance next-generation sensing, energy devices, and biomedical material technologies.

Citation Metrics (Scopus)

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Citations

1,380

Documents

141

h-index

19

Citations

Documents

h-index

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Featured Publications

 

Nassim Bout | Computer Science | Best Researcher Award

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.