Norhazwani Md Yunos | Data Science and Analytics | Research Excellence Award

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Dr. Norhazwani Md Yunos | Data Science and Analytics | Research Excellence Award

Universiti Teknikal Malaysia Melaka | Malaysia

Dr. Norhazwani Md Yunos is an accomplished computer scientist and academic whose work bridges theoretical algorithms and applied data analytics. She has authored 11 Scopus-indexed documents, receiving 68 citations with an h-index of 4, reflecting steady scholarly impact across multiple domains. Her educational background is grounded in computer science and algorithmic research, with strong foundations in graph theory, optimization, and computational complexity. Over her academic career, she has gained extensive experience as a lecturer and researcher, contributing to both fundamental theory and real-world applications. Her research interests span machine learning, sentiment analysis, network and community detection, optimization algorithms, big data analytics, and combinatorial optimization, including notable contributions to polynomial-space exact algorithms for the Traveling Salesman Problem (TSP) and modern studies on dynamic community detection and data-driven classification models. Dr. Md Yunos has published in reputable journals such as Alexandria Engineering Journal, Pertanika Journal of Science and Technology, and Journal of Electronic Materials, demonstrating interdisciplinary reach from algorithm design to intelligent systems. Her scholarly record includes peer-reviewed journal articles, conference papers, and book chapters, alongside recognition through high citation performance in selected works. Overall, her research portfolio highlights a sustained commitment to advancing computational methods, intelligent data analysis, and algorithmic efficiency for contemporary scientific and industrial challenges.

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Amir Hossein akbari | Engineering and Technology | Research Excellence Award

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Dr. Amir Hossein akbari | Engineering and Technology | Research Excellence Award

Iran University of Science and Technology | Iran

Amir Hosein Akbari is an accomplished researcher in industrial engineering with a strong record of scholarly impact his academic background is grounded in advanced industrial engineering education, complemented by progressive research experience spanning optimization, decision sciences, and intelligent systems. His professional experience includes active involvement in high-quality research collaborations and contributions to applied and theoretical studies addressing complex industrial and societal problems. His core research interests focus on supply chain management, optimization, meta-heuristic and evolutionary algorithms, scheduling, decision support systems, and artificial intelligence–driven industrial applications, with several influential works in expert systems, soft computing, and manufacturing systems. His publications have appeared in high-impact venues such as Expert Systems with Applications, Soft Computing, and Neural Computing and Applications, reflecting both methodological rigor and practical relevance. Recognition of his work is demonstrated through strong citation performance and collaborations with well-established scholars in operations research and industrial engineering. Overall, his research portfolio highlights a consistent commitment to advancing intelligent optimization methods and decision-making frameworks, contributing valuable insights to academia and industry while strengthening the scientific foundations of modern industrial engineering.

Citation Metrics (Google Scholar)

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Nepoleon Prabakaran | Cognitive Science | Best Researcher Award

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Mr. Nepoleon Prabakaran | Cognitive Science | Best Researcher Award

Alliance Ascent College, Alliance University | India

Dr. Nepoleon M. P. is a dynamic and committed academic leader, currently serving as Assistant Professor of Management at the Centre for Management Studies, Jain University, Bengaluru.  His research interests span metaverse-based learning, digital literacy, job-crafting and flourishing at work, leadership styles and consumer behaviour. He has been honoured with multiple Best Researcher Awards at international conferences and has published in journals such as Frontiers in Education, Review of Education and Central European Management Journal. The convergence of technology, human behaviour and organisational processes forms the core of his inquiry, and he continues to drive impactful scholarship while guiding students and engaging in academic service. With this trajectory, he aims to contribute meaningfully to both theory and practice in management and educational transformation.

Profiles : Google Scholar | Orcid

Featured Publications

Kareem, J., Patrick, H. A., Prabakaran, N., Tantia, V., M. P. M., P. K., & Mukherjee, U. (2023). Transformational educational leaders inspire school educators’ commitment. Frontiers in Education, 8, 1171513.

Ahamed, A. A., Patrick, H. A., Kareem, J., Mukherjee, U., & Nepoleon, M. P. (2023). Organisational justice, job performance and work engagement: The mediating role of perceived supervisory support. Review of Education, 11(1), e3390.

Kareem, J., Patrick, H. A., & Prabakaran, N. (2024). Exploring the factors of learning organization in school education: The role of leadership styles, personal commitment, and organizational culture. Central European Management Journal.

Prabakaran, N., & Patrick, H. A. (2024). Global regionalization of consumer neuroscience behavioral qualities on insights from Google Trends. In Explainable AI Applications for Human Behavior Analysis (pp. 258–274). IGI Global.

Prabakaran, N., Patrick, H. A., & Kareem, J. (2025). Enhancing English language proficiency and digital literacy through metaverse-based learning: A mixed-methods study in higher education. Journal of Information Technology Education: Research, 24, 010.