Ting Wang received the Ph.D. degree in Computer Science and Engineering from Hong Kong University of Science and Technology, Hong Kong, China, in 2015. He is currently an associate professor with the Engineering Research Center of Software/Hardware Co-design Technology and Application, Ministry of Education, China; the Shanghai Key Laboratory of Trustworthy Computing; East China Normal University (ECNU), Shanghai, China. Prior to joining ECNU in 2020, he worked at the Bell Labs as a research scientist from 2015 to 2016, and at Huawei as a senior engineer from 2016 to 2020. He has published more than 80 peer reviewed papers in top journals and conferences including INFOCOM, AAAI, IJCAI, ACM MM, IEEE TPDS, IEEE TC, IEEE TWC, IEEE TSC, IEEE IOTJ, IEEE TNSE, ACM Computing Surveys, and so on. He is the founding editor-in-chief of IITCIB, and the technical committee member of Computer Communications, Elsevier. His research interests include cloud computing, edge computing, distributed machine learning, Edge AI, multi-agent reinforcement learning, and AI-aided intelligent networking.

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Dr. Weiwei Jiang received the B.Sc. and Ph.D. degrees from the Department of Electronic Engineering, Tsinghua University, Beijing, China, in 2013 and 2018, respectively. He is currently an assistant professor with the School of Information and Communication Engineering, Beijing University of Posts and Telecommunications, and Key Laboratory of Universal Wireless Communications, Ministry of Education. His current research interests include artificial intelligence, machine learning, big data, wireless communication and edge computing. He has published more than 60 academic papers in IEEE Trans and other journals, with more than 4600 citations in Google Scholar. He is one of 2023, 2024 and 2025 Stanford's List of World's Top 2% Scientists.


In addition to his research endeavors, Dr. Weiwei Jiang actively engages with scholarly journals as an Editor, including Information Fusion, Future Generation Computer Systems, Engineering Reports, Data Science and Management, Journal of Computational and Cognitive Engineering, and Indonesian Journal of Electrical Engineering and Computer Science, INGENIERIA E INVESTIGACION, International Journal of Intelligent Transportation Systems Research, EAI Endorsed Transactions on AI and Robotics, EAI Endorsed Transactions on Industrial Networks and Intelligent Systems. He is also the Guest Editor for many journals, including IEEE Transactions on Industrial Cyber-Physical Systems, ACM Transactions on Autonomous and Adaptive Systems, Digital Communications and Networks, Information Fusion, Neural Computing and Applications, International Journal of Intelligent Systems, etc.
 

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Dr. Apostolos Xenakis received his PhD from the Electrical and Computer Engineering (ECE) of University of Thessaly (UTH), GR. He currently serves as an Assistant Professor at the Department of Digital Systems (DS), UTH. Before joining academia, he worked as a Network Analyst and Engineer. Since 2015 he participates in several National and EU funded Projects (Erasmus, Cost Action, Horizon, etc.), either as a Researcher or Scientific Coordinator. He collaborates, as a consulting Professor with (4) PhD candidates and (1) PostDoc Researcher. His research interests focuses on Wireless Networking Technologies and Applications, Wireless Sensor Networks (WSNs) and IoT, Optimization, Next Generation Digital Systems and Applications, Quantum Applications and Engineering Education Technologies. He is the author of several research papers published at International Journals and Conference Proceedings regarding these topics, along with books and book chapters. He also joins conferences Technical Program Committees (TPC) and is co – editor in several Journals. Finally, he is Cisco Instructor and Scientific coordinator of several lifelong learning programs at UTH.

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Dr. Rushit Dave is an Associate Professor in the Computer Information Science Department at Minnesota State University Mankato. Prior joining to MNSU Dr. Dave was an Assistant Professor in the Computer Science Department at University of Wisconsin Eau Claire [2020-2022]. He received his Doctor of Philosophy degree in Computer Science from North Carolina A&T State University and his Master of Science degree in Computer Science from New York Institute of Technology. He has published multiple journal and conference papers in reputed platforms. Dr. Dave also holds position in Editorial and Reviewer board at many Computer Science and Engineering journal and conference platforms. His current research focus is on Machine Learning & Deep Learning Applications of Cyber Security, Biometrics, IoT Security in wireless networks, Machine Learning Applications of Computing in Education, Object detection using Machine Learning, Human Activity Recognition using Machine Learning and Canvas System 2.0.

He helped found, and is currently Director of Artificial Intelligence, Machine learning & Security Research [AIMS] Group. This research group collaborates with Minnesota State University, North Carolina A&T State University, Northern Kentucky University and University of Wisconsin Eau Claire.

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Napa Sae-Bae is a University Lecturer at Srinakharinwirot University, bringing expertise in education and research. Their background includes a Doctor of Philosophy from New York University - Polytechnic School of Engineering.

With a foundation in academic research, Napa previously served as a Postdoctoral Research Associate at New York University. Their work history includes a role as Research Assistance at Poly, contributing within telecommunication equipment. During the period at Rajamangala University of Technology Suvarnabhumi, Napa served as Lecturer, applying instructional skills to higher education. Their work history includes teaching at the university level.

Informed by work activities in the technology sector, Napa also completed an internship at PayPal, focusing on security research and innovation. Napa holds an IC3 Digital Literacy Certification from Certiport - A Pearson VUE Business, demonstrating technology proficiency.

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