Meriem Smati | Engineering and Technology | Research Excellence Award

Ms. Meriem Smati | Engineering and Technology | Research Excellence Award

INSA Lyon – Polytechnique Montreal | France

Meriem Smati is a doctoral researcher in a dual-degree PhD program in Computer Science and Industrial Engineering at INSA Lyon and Polytechnique Montréal, focusing on advanced digital engineering and intelligent systems. She holds an Engineer and Master’s degree in Systems Engineering from the Higher School of Computer Science (ESI SBA) and a Bachelor’s degree in Information Systems and Software Engineering, graduating as valedictorian. Her academic and professional experience includes PhD-level research, adjunct lecturing in computer science, and multiple international research internships. Her research interests center on Digital Twins, System-of-Systems engineering, resilience modeling, cognitive and data-driven twins, IoT systems, anomaly detection, and smart city applications, integrating machine learning and simulation-based architectures. She has authored and co-authored peer-reviewed journal and conference publications, a scientific book, and several applied research reports. Her scholarly output is reflected in an approximate. Her work has been recognized through prestigious distinctions, including Best Paper and Best Poster awards at international conferences. Overall, her profile reflects a dynamic early-career researcher contributing impactful methodologies and architectures for resilient, intelligent, and sustainable digital systems.

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Featured Publications

Nepoleon Prabakaran | Cognitive Science | Best Researcher Award

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.

Suk-Ju Kang | Computer Science and Artificial Intelligence | Best Researcher Award 

Prof. Suk-Ju Kang | Computer Science and Artificial Intelligence | Best Researcher Award 

Sogang University | South Korea

Prof. Suk-Ju Kang is a distinguished Professor in the Department of Electronic Engineering at Sogang University, Seoul, Korea, specializing in visual computing, computer vision, and artificial intelligence. His research spans image synthesis and restoration, real-time 2D/3D human and hand pose estimation, and industrial AI applications such as anomaly detection and remaining useful life prediction. Prior to joining Sogang University in 2015, he served as Assistant Professor at Dong-A University and worked as a Senior Research Engineer at LG Display, contributing to advanced display technologies. He earned his Ph.D. in Electrical Engineering from POSTECH under the supervision of Dr. Young Hwan Kim, and his B.S. in Electronic Engineering from Sogang University. Prof. Kang has authored over 209 peer-reviewed publications, which have collectively garnered over 2,143 citations with an h-index of 25, reflecting his global research impact. He has been recognized with numerous honors, including the 2025 Haedong Best Paper Award, multiple Samsung Best Paper Awards (2023, 2024), the 2022 Merck Young Scientist Award, and the 2020 Young Researcher Award from The Korean Institute of Broadcast and Media Engineers. He also plays an active leadership role in academia, serving as Chairman of the AI and Computational Technology Society for Display, Chairman of the Image Processing Research Society, and Organizing Committee Chair for major international conferences such as ITC-CSCC and AISPC.

Profiles: Scopus | Google Scholar

Featured Publications

“Luminance Compensation for Stretchable Displays Using Deep Visual Feature-Optimized Gaussian-Weighted Kernels.” Journal of the Society for Information Display, 2025.

“DGTFNet: Depth-Guided Tri-Axial Fusion Network for Efficient Generalizable Stereo Matching.” IEEE Robotics and Automation Letters, 2025.

“CRAN: Compressed Residual Attention Network for Lightweight Single Image Super-Resolution.” IEEE Signal Processing Letters, 2025.

“Supervised Denoising for Extreme Low-Light Raw Videos.” IEEE Transactions on Circuits and Systems for Video Technology, 2025.

“Query-Vector-Focused Recurrent Attention for Remaining Useful Life Prediction.” IEEE Transactions on Reliability, 2025.