Teng Zhang | Physics | Best Researcher Award

Published on by Scientific World Research Awards

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.

 

Nassim Bout | Computer Science | Best Researcher Award

Published on by Scientific World Research Awards

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.