Prof. Mohamed Lahby is Associate Professor at the Higher Normal School (ENS) University Hassan II of Casablanca, Morocco. His PhD in Computer Science from Faculty of Sciences and Technology of Mohammedia, University Hassan II of Casablanca, in 2013. His research interests are wireless communication and network, mobility management, QoS/QoE, Internet of things, Smart cities, Optimization and Machine learning. He has published more than 60 papers (book chapters, international journals, and conferences), 10 edited books, and 1 authored book. He has served and continues to serve on executive and technical program committees of numerous international conferences such as IEEE PIMRC, ICC, NTMS, IWCMC, WINCOM, ISNCC. He also referees many prestigious Elsevier journals: Ad Hoc Networks, Applied Computing and Informatics and International journal of disaster risk reduction. He organized and participated more than 40 conferences and workshops. He is the chair of many international workshops and special sessions such as MLNGSN'19, CSPSC'19, MLNGSN'20, MLNGSN'21, AI2SC '20, WCTCP'20, CIOT'22 and ISGTA'23.
Prof. Yassine Maleh is an Associate Professor of Cybersecurity and IT Governance at Sultan Moulay Slimane University, Morocco. He is the founding chair of IEEE Consultant Network Morocco and founding president of the African Research Center of Information Technology & Cybersecurity. He is a senior member of IEEE and a member of the International Association of Engineers IAENG and The Machine Intelligence Research Labs. Dr Maleh has made contributions in the fields of information security and privacy, Internet of things security, wireless and constrained networks security. His research interests include information security and privacy, Internet of things, networks security, information system, and IT governance. He has published over than 140 papers (book chapters, international journals, and conferences/workshops), 30 edited books, and 5 authored books. He is the editor-in-chief of the International Journal of Information Security and Privacy (IJISP), and the International Journal of Smart Security Technologies (IJSST). He serves as an associate editor for IEEE Access (2019 Impact Factor 4.098), the International Journal of Digital Crime and Forensics (IJDCF), and the International Journal of Information Security and Privacy (IJISP). He is a series editor of Advances in Cybersecurity Management, by CRC Taylor & Francis. He was also a guest editor of many special issues in IEEE Transactions on industrial informatics, IEEE Engineering Management Review, Big Data Journal, Sensors, etc.... 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 Ad Hoc Networks, IEEE Network Magazine, IEEE Sensor Journal, ICT Express, and Springer Cluster Computing. He was the Publicity chair of BCCA 2019 and the General Chair of the MLBDACP 19 symposium and ICI2C'21 Conference. He received Publons Top 1% reviewer award for 2018 and 2019.
Prof. Antonio Bucchiarone is a Senior Researcher in the Motivational Digital Systems (MoDiS) unit at Fondazione Bruno Kessler (FBK) in Trento, Italy. His main research interests include: Self-Adaptive (Collective) Systems, Domain Specific Languages for Socio-Technical Systems, Smart Mobility and Multi-Agent based modeling and simulation. He has been actively involved in various European research projects in the fields of Self-Adaptive Socio-Technical Systems, Smart Mobility and Service-Oriented Computing. He was the General Chair of the 12th IEEE International Conference on Self-Adaptive and Self Organizing Systems (SASO 2018) and he is an Associate Editor of the IEEE Transactions on Intelligent Transportation Systems (T-ITS) Journal, the IEEE Software Journal and the IEEE Technology and Society Magazine.
Prof. Elisa Schaeffer is an Associate Professor of Applied Digital Intelligence at the School of Continuing Studies of McGill University in Canada. She has a keen interest in computational intelligence, and her research explores potential applications of graph theory and machine learning on topics from areas such as social sciences, medicine, economics, and forestry. She is passionate about digital learning, real-time and asynchronous, and an early adopter of emerging software and hardware solutions to facilitate teaching and research, especially open-source solutions.
