Dr. Yasir Hafeez is an Assistant Professor at the Faculty of Science and Engineering, University of Nottingham, Malaysia. He completed his B.E. in Electronics Engineering from the University of Engineering and Technology, followed by a Master’s degree in Robust Control Systems from the National University of Sciences and Technology, and a Ph.D. in EE with specialization in Neurofeedback system development and Neurosciences from Universiti Teknologi PETRONAS. His teaching disciplines include Programming and Algorithm, Computability, and Fundamentals of Info Visualization. His research interests encompass Artificial Neural Networks, Neural Signal Processing, Neural Image Processing, and Control Systems Engineering.

KHUHED MEMON received the B.E. degree from Pakistan Navy Engineering College (PNEC), National University of Sciences and Technology (NUST), Karachi, Pakistan, in 2006 and M.Sc. degree in signal processing from Nanyang Technological University (NTU), Singapore, in 2008. Currently he is a Ph.D. scholar at Universiti Teknologi PETRONAS (UTP), Malaysia, since 2022. From 2009 to early 2022, he served as an Assistant Professor at Mehran University of Engineering and Technology (MUET), Pakistan, where he worked on various funded projects and has several publications. Currently he is working with the Center for Intelligent Signal and Imaging Research (CISIR), UTP, Malaysia, with a focus on Neurotechnology for Brain Assessment and Intervention. His research interests include computer vision, augmented/ virtual reality, and artificial intelligence.

Maged S. Al-Quraishi (Member, IEEE) earned a B.Sc. degree in biomedical engineering from Baghdad University, Iraq, in 2005. He completed his M.Sc. in biomedical engineering at Universiti Putra Malaysia in 2015 and received a PhD from Universiti Teknologi PETRONAS, Malaysia, in 2021. Currently, he is a Postdoctoral Fellow at the Smart Mobility and Logistics Center, KFUPM. Al-Quraishi has published numerous articles in peer-reviewed journals, including those from IEEE, Springer, and MDPI. His research interests encompass biomedical signal processing, neuroengineering, machine learning, deep learning, instrumentation, and rehabilitation robotics.

NORASHIKIN YAHYA received the B.Eng degree (Hons) in Electronic Engineering from the University of Sheffield, UK in 2001, M.Sc in Electrical Engineering from Lehigh University, USA in 2004 and PhD in Electrical Engineering from Universiti Teknologi PETRONAS (UTP), Malaysia in 2015. Her active research works are on image segmentation, signal processing and pattern recognition involving biomedical signals and images using machine learning and deep learning techniques. Currently, she is a senior lecturer in UTP and also the head of Center for Intelligent Signal and Imaging Research (CISIR) lab, one of the National Higher Institution Center of Excellence (HICoE) status focusing on neuro signal and image analysis as its research niche area.

SAMI EL-FERIK received a B.Sc. degree in electrical engineering from Laval University, Canada, the M.S. degree in control and automation from the Department of Electrical and Computer Engineering, École Polytechnique, and the Ph.D. in control and automation from the University of Montreal, Montreal, Canada. He is currently a Professor with the Control and Instrumentation Engineering Department and the Director of the Interdisciplinary Research Center for Smart Mobility and Logistics, King Fahd University of Petroleum and Minerals (KFUPM). His Ph.D. work was on flexible manufacturing systems modeling and controland was co-supervised by mechanical engineering. After his Ph.D. studies and postdoctoral positions in the analysis and control of discrete event systems, he worked at Pratt and Whitney Canada as a Senior Staff Control Analyst within the Research and Development Center of Systems, Controls, and Accessories. His research interests include sensing, monitoring, and control with strong multidisciplinary research and applications. His research contributions are in control of the autonomous single-domain and multi-domain multi-agent systems, unmanned systems UxV, biological models of a fleet of unmanned aerial vehicles, process control and control loop performance-monitoring, control of systems with delays, modeling, and control of stochastic systems, analysis of network stability, condition monitoring, and condition-based maintenance.

Dr. Syed Saad Azhar Ali is an Associate Professor with the Aerospace Engineering Department and associated with the Interdisciplinary Research Center for Smart Mobility and Logistics, and Interdisciplinary Research Center for Aviation and Space Exploration at King Fahd University of Petroleum & Minerals (KFUPM). He completed his B.E. in Electrical Engineering from NED University, followed by an M.Sc. and Ph.D. from King Fahd University of Petroleum Minerals (KFUPM). He leads the AI in Aerospace Research Group and has authored over 100 peer-reviewed publications, including 4 books/chapters. His research interests include Intelligent Control, Neurosignal Processing, and AI and ML for Aerial, Ground and Underwater applications.