Biography:

Dr. Shadi Atalla is a Professor and Acting Dean at the University of Dubai, where he leads initiatives in computing, research, and academic innovation. He received his Ph.D. in Computer Networks from Politecnico di Torino, Italy, in 2012. His research focuses on artificial intelligence, digital twins, renewable energy systems, IoT, and sustainable smart infrastructure. Dr. Atalla has secured more than AED 4 million in competitive research funding as Principal Investigator and Co-Principal Investigator, including projects on digital twins for high-rise buildings and AI-enabled renewable energy and health systems. He has authored more than 100 Scopus-indexed publications, including papers in leading journals such as Information Fusion, IEEE Sensors Journal, and IEEE Communications Standards Magazine. His contributions have been recognized with the University of Dubai’s Excellence in Research Award in 2019 and 2022 and the Best Paper Award at ICSPIS 2022. He has also contributed to European FP7 projects, is an IEEE Senior Member, and previously chaired the IEEE Computer Society UAE Chapter.

Biography:

Mohammed Q. Alkhatib received the B.S. degree in Telecommunications Engineering from Yarmouk University, Irbid, Jordan, in 2008. He obtained the M.S. and Ph.D. degrees in Electrical and Computer Engineering from the University of Texas at El Paso, El Paso, TX, USA, in 2011 and 2018, respectively. From 2014 to 2020, Dr. Alkhatib served as a Lecturer at Abu Dhabi Polytechnic, Abu Dhabi, UAE. He is currently an Associate Professor in the College of Engineering and IT at the University of Dubai, Dubai, UAE. He has published several research articles in leading venues including IEEE, Elsevier, and MDPI journals. His research interests include remote sensing, machine learning, and image analysis. He also serves as a supervisor at the Mohammed Bin Rashid Space Centre Laboratory (MBRSC–LAB), contributing to research and training initiatives in remote sensing-related technologies.

Biography:

Mohammed Eshaq is a Senior Embedded Software Engineer specializing in spacecraft flight software and embedded systems. His work focuses on CubeSat flight software development and on-board computing, while his PhD research explores efficient computer vision and machine learning for resource-constrained space platforms.