Prof. Datuk Ts. Dr. Massila Kamalrudin Universiti Teknikal Malaysia Melaka, Malaysia

Bio: Professor Ts. Dr. Massila Kamalrudin, the fifth Vice Chancellor of Universiti Teknikal Malaysia Melaka (UTeM), is an acclaimed academic in the field of Information Technology. A native of Banda Hilir, Melaka, she was born on 14 August 1981.

Prof. Massila has an impressive local and international education background. She graduated from Universiti Putra Malaysia (UPM) in 2003 with a Bachelor of Computer Science (Software Engineering), a Master of Science in Computing and Software Technology from University of Wales, Swansea, United Kingdom in 2006, a PhD in Electrical and Electronic Engineering from The University of Auckland, New Zealand in 2011 and a post-doctoral at the Faculty of ICT, Swinburne University of Technology, Australia in 2012.

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Prof. Dong Seog Han Kyungpook National University, Korea

Bio: Dong Seog Han received the B.S. degree in electronic engineering from Kyungpook National University (KNU), Daegu, South Korea, in 1987, and the M.S. and Ph.D. degrees in electrical engineering from the Korea Advanced Institute of Science and Technology (KAIST), Daejeon, South Korea, in 1989 and 1993, respectively.

From 1987 to 1996, he was with Samsung Electronics Co., Ltd., where he developed the transmission systems for QAM HDTV and Grand Alliance HDTV receivers. Since 1996, he has been a Professor with the School of Electronics Engineering, KNU. He was a Courtesy Associate Professor with the Department of Electrical and Computer Engineering, University of Florida, in 2004, and served as Director of the Center for Digital TV and Broadcasting, Institute for Information Technology Advancement, from 2006 to 2008.

He has been the Director of the Center for ICT and Automotive Convergence at KNU since 2011, and currently serves as Director of the Institute for Advanced Technology Convergence at KNU. He also served as a non-executive director of the Korea Innovation Foundation/Innopolis Foundation from 2015 to 2018.

His main research interests include intelligent signal processing, autonomous vehicles, deep learning, and communication signal processing. He directs the Intelligent Signal Processing Lab at KNU, and has published extensively in the fields of communication theory, autonomous vehicles, and AI, holding more than 40 patents.

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Prof. dr. Peter Peer University of Ljubljana (UL), Slovenia

Bio: Peter Peer is a Full Professor at the Faculty of Computer and Information Science, University of Ljubljana (UL), Slovenia, where he heads the Computer Vision Laboratory. He received his B.Sc. and M.Sc. degrees in computer science from the University of Ljubljana in 1998 and 2001, respectively, and his Ph.D. in computer science from UL in 2003; during his post-doctorate he was an invited researcher at CEIT, San Sebastián, Spain.

His research focuses on biometrics and computer vision, particularly face recognition, face image quality assessment, deep learning, and AI-driven image processing. He has participated in numerous national and EU-funded R&D projects and published over 150 research papers in leading international peer-reviewed journals and conferences.

He serves as Executive Editor of ICT Express, Associate Editor of IET Biometrics and Pattern Recognition, and a Topical Advisory Panel Member of MDPI Applied Sciences. He has co-organized a number of benchmarking competitions at top-tier biometrics conferences, chairs the Slovenian Pattern Recognition Society, and has served as chairman of the Slovenian IEEE Computer Chapter and as Vice-Dean for Economic Affairs of the Faculty. He is a member of the European Association for Biometrics (EAB), IAPR, and IEEE.

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Prof. Ts. Dr. Dayang Norhayati Abang Jawawi Universiti Teknologi Malaysia (UTM), Malaysia

Bio: Prof. Ts. Dr. Dayang Norhayati Abang Jawawi is a Professor at the Department of Software Engineering, Faculty of Computing, Universiti Teknologi Malaysia (UTM), where she also serves as Deputy Dean of the Faculty. She holds a Ph.D. in Software Engineering and has been an active researcher in the field for over two decades.

Her research interests span component-based software development, software testing and quality assurance, test case prioritization, software product line engineering, requirements engineering, software effort estimation, and metaheuristic optimization. In recent years, she has also made significant contributions to computing education research, including educational robotics, computational thinking, MOOC-based learning, and learning analytics.

Prof. Dayang has authored and co-authored more than 200 publications in leading international journals and conferences, including ACM Computing Surveys, IEEE Access, Information and Software Technology, and Journal of Systems and Software, and has published books on cost-effective software product line testing. She has led and collaborated on numerous funded research projects, and is actively involved in curriculum innovation and enquiry-based learning initiatives. She can be reached at dayang@utm.my.

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