Bilal Khan | Engineering and Technology | Research Excellence Award

Dr. Bilal Khan | Engineering and Technology | Research Excellence Award

Department of Computer Science, University of Engineering and Technology, Mardan | Pakistan

Dr. Bilal Khan is a research‑driven academic with a Ph.D. in Computer Software Engineering and more than 15 years of university‑level teaching and research experience across leading higher‑education institutions in Pakistan, including University of Engineering & Technology, Mardan; City University of Science and Information Technology, Peshawar; Northern University, Nowshera; University of Swabi; and National Institute of Technology, Akora Khattak. His scholarly work focuses on Machine Learning, Data Science, Natural Language Processing, Healthcare & Bioinformatics Analytics, and Software Engineering, where he has authored a substantial portfolio of international journal publications indexed in venues such as IEEE Access and Journal of Healthcare Engineering. Dr. Khan has played key roles in curriculum development, postgraduate supervision, and academic coordination, and serves as a reviewer for high‑impact journals including IEEE Access, ACM Transactions on Healthcare, and Artificial Intelligence. His interdisciplinary work bridges theory and practice, and he remains actively engaged in collaborative research, external grant pursuits, and innovative solutions addressing real‑world challenges.

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Featured Publications

An empirical evaluation of machine learning techniques for chronic kidney disease prophecy
Khan, B., Naseem, R., Muhammad, F., Abbas, G., Kim, S., 2020.

Software defect prediction for healthcare big data: an empirical evaluation of machine learning techniques
Khan, B., Naseem, R., Shah, M.A., Wakil, K., Khan, A., Uddin, M.I., Mahmoud, M., Journal of Healthcare Engineering, 2021.

An Overview of ETL Techniques, Tools, Processes and Evaluations in Data Warehousing
Khan, B., Jan, S., Khan, W., Chughtai, M.I., Journal on Big Data, 6, 2024.

Performance assessment of classification algorithms on early detection of liver syndrome
Naseem, R., Khan, B., Shah, M.A., et al., Journal of Healthcare Engineering, 2020.

Exploring the landscape of automatic text summarization: a comprehensive survey
Khan, B., Shah, Z.A., Usman, M., Khan, I., Niazi, B., IEEE Access, 11,  2023.

Wei Zhang | Electrical Engineering | Best Researcher Award

Mr. Wei Zhang | Electrical Engineering | Best Researcher Award

Suzhou vocational University | China

Dr. Wei Zhang, a dedicated educator and researcher in power electronics at Suzhou Vocational University, holds a degree in Control Theory and Control Engineering from Suzhou University. He has established himself in the field of high-frequency isolated AC/AC conversion. His current research focuses on eliminating bulky DC intermediate energy storage and implementing soft-switching control strategies to reduce device switching losses, thereby improving converter efficiency and system reliability. He has published in respected journals such as the International Journal of Electronics and engages actively with industry through power-industry consultancy projects. As a teacher, he not only advances the academic frontier but also mentors students in hands-on converter design and simulation. His work has led to validated simulation and experimental results, demonstrating both theoretical correctness and practical feasibility. Looking ahead, Dr. Zhang aims to further transform power‐electronics architectures toward more compact, efficient, and digitally controlled systems, contributing to sustainable energy conversion and smarter power infrastructure.

Profiles : Orcid

Featured Publications

Zhang, W. (2025). A new structure for a high-frequency isolated AC/AC converter. International Journal of Electronics.