Mohamed Hammad received his Ph.D. degree in 2019 from the School of Computer Science and Technology, Harbin Institute of Technology, Harbin, China. He is an assistant professor in the Faculty of Computers and Information, Menoufia University, Egypt. He is currently a researcher in the EIAS Data Science Lab, College of Computer and Information Sciences, Prince Sultan University. His research interests include Biomedical Imaging, Bioinformatics, Cyber Security, IoT, Computer Vision, Machine Learning, Deep Learning, Pattern Recognition, and Biometrics. He has published more than 50 papers in international SCI-IF journals. Furthermore, he has served as an Editor Board member in PLOS ONE journal, an Editor Board member in BMC Bioinformatics journal, an Associate Editor in IJISP, a Topics Board editor in Forensic Sciences (MPDI) journal, a guest editor in many international journals such as IJDCF, Sensors (MDPI) and Information (MDPI). Reviewer of more than 500 papers for many prestigious journals and listed in the top 2% of scientists worldwide (According to the recently released list by Stanford University USA in 2022 and 2023).
Gauhar Ali received the M.S. degree in computer science from the Institute of Management Sciences, Peshawar, Pakistan, in 2012, and the Ph.D. degree in computer science from the University of Peshawar, Peshawar. He is currently a Postdoctoral Researcher with the EIAS Data Science and Blockchain Laboratory, College of Computer and Information Sciences, Prince Sultan University, Riyadh, Saudi Arabia. His research interests include the Internet of Things, access control, blockchain, machine learning, wireless sensor networks, intelligent transportation systems, formal verification, and model checking.
Mohammed A. El-Affendi is currently a Professor of computer science with the Department of Computer Science, Prince Sultan University, the former Dean of CCIS, AIDE, the Rector, the Founder, and the Director of the Data Science Laboratory (EIAS), and the Founder and the Director of the Center of Excellence in CyberSecurity. His current research interests include data science, intelligent and cognitive systems, machine learning, and natural language processing.
Yassine Maleh (Senior Member, IEEE) received the Ph.D. degree in computer science from Hassan 1st University in Morocco, in 2017. He is currently a Professor in cybersecurity and a Practitioner with industry and academic experience. Since 2019, he has been a Professor in cybersecurity with Sultan Moulay Slimane University, Beni Mellal, Morocco. From 2012 to 2019, he was the Chief Security Officer with the National Ports Agency in Morocco. He is the Founding Chair of IEEE Consultant Network Morocco and the Founding President of the African Research Center of Information Technology & Cybersecurity. He is a member of the International Association of Engineers and Machine Intelligence Research Labs. He has made contributions in the fields of information security and privacy, the Internet of Things security, and wireless and constrained networks security. His research interests include information security and privacy, the Internet of Things, networks security, information system, and IT governance. He has authored or coauthored more than 100 papers (book chapters, international journals, and conferences/workshops), 24 edited books, and 4 authored books. Dr. Maleh is currently the Editor-in-Chief of the International Journal of Information Security and Privacy and International Journal of Smart Security Technologies. He is also an Associate Editor for IEEE Access (2019 Impact Factor 4.098) and a Series Editor of Advances in Cybersecurity Management by CRC Taylor & Francis. He has served and continues to serve on executive and technical program committees and as a Reviewer of numerous international conferences and journals, such as Elsevier's Ad Hoc Networks, IEEE Network Magazine, IEEE Sensor Journal, ICT Express, and Springer's Cluster Computing. He was the Publicity Chair of BCCA 2019 and the General Chair of the MLBDACP 19 symposium and ICI2C'21 Conference. He was the recipient of Publons Top 1% reviewer award for 2018 and 2019.
Ahmed A. Abd El-Latif graduated with distinction from the Harbin Institute of Technology, China, in 2013, earning a Ph.D. Since then, he has led and participated in several successful research projects and secured grants in Egypt, the Russian Federation, Saudi Arabia, China, Malaysia, and Tunisia. Currently, Dr. Abd El-Latif holds staff positions at Menoufia University, Egypt, and Prince Sultan University, Saudi Arabia. With over 18 years of professional experience, he has published approximately 300 papers in journals and conference proceedings, including 12 books, with over 10,000 citations. Since 2022, he has served as Head of the MEGANET 6G Lab Research in the Russian Federation. Dr. Abd El-Latif holds several leadership positions, including Vice Chair of the EIAS Research Lab, Founder and Deputy Director of the Center of Excellence in Quantum & Intelligent Computing (Prince Sultan University, Saudi Arabia). He has received several awards, including the State Encouragement Award in Engineering Sciences from the Arab Republic of Egypt in 2016, the Best Ph.D. Student Award from the Harbin Institute of Technology, China, in 2013, and the Young Scientist Award from Menoufia University, Egypt, in 2014. Dr. Abd El-Latif actively participates in the scientific community, serving as Chair/Co-Chair of several Scopus/EI conferences. He also holds editorial positions, including Editor-in-Chief of the International Journal of Information Security and Privacy, Series Editor of Quantum Information Processing and Computing, and Series Editor of Advances in Cybersecurity Management. Additionally, he serves as an academic editor or associate editor for many indexed journals in the Web of Science (WoS) and Scopus, covering various quartiles. Dr. Abd El-Latif's research interests span quantum communications and cryptography, cybersecurity, artificial intelligence of things (AIoT), AI-based image processing, information hiding, and applications of dynamical systems (discrete-time models: chaotic systems and quantum walks) in cybersecurity.
