Keynote Speakers

Prof. Zhu Han
University of Houston, USA
IEEE Fellow, AAAS Fellow, Moores Professor

Speech Title: Hybrid Quantum and Classic Computing for Future Networking

Zhu Han received the B.S. degree in electronic engineering from Tsinghua University, in 1997, and the M.S. and Ph.D. degrees in electrical engineering from the University of Maryland, College Park, in 1999 and 2003, respectively. From 2000 to 2002, he was an R&D Engineer of JDSU, Germantown, Maryland. From 2003 to 2006, he was a Research Associate at the University of Maryland. From 2006 to 2008, he was an assistant professor in Boise State University, Idaho. Currently, he is a John and Rebecca Moores Professor in Electrical and Computer Engineering Department as well as Computer Science Department at University of Houston, Texas. His research interests include security, wireless resource allocation and management, wireless communication and networking, game theory, and wireless multimedia. Dr. Han is an NSF CAREER award recipient of 2010. Dr. Han has several IEEE conference best paper awards, and winner of 2011 IEEE Fred W. Ellersick Prize, 2015 EURASIP Best Paper Award for the Journal on Advances in Signal Processing and 2016 IEEE Leonard G. Abraham Prize in the field of Communication Systems (Best Paper Award for IEEE Journal on Selected Areas on Communications). Dr. Han is the winner 2021 IEEE Kiyo Tomiyasu Award. He has been an IEEE fellow since 2014, AAAS fellow since 2020, IEEE Distinguished Lecturer from 2015 to 2018 and ACM Distinguished Speaker from 2022-2025. Dr. Han is a 1% highly cited researcher according to Web of Science since 2017.

Prof. Hao Ying
Wayne State University, USA
IEEE Fellow

Speech Title: Self-Learning Fuzzy Discrete Event Systems

Dr. Hao Ying is a professor at the Department of Electrical and Computer Engineering, Wayne State University, USA. He has published two fuzzy control books, 129 journal papers, and over 160 conference papers. He receives the 2023 IEEE Computational Intelligence Society Fuzzy Systems Pioneer Award, the highest level honor of the Society, with the citation “For fundamental contributions to model-free fuzzy control theory and its biomedical applications.” Professor Ying is serving as an Associate Editor or a Member of Editorial Board for 13 international journals, including the IEEE Transactions on Fuzzy Systems and the IEEE Transactions on Systems, Man, and Cybernetics: Systems. He has served as a Program/Technical Committee Member for over 120 international conferences. He is an IEEE Fellow.

Invited Speakers

Prof. Sule Yildirim Yayilgan
Norwegian University of Science and Technology, Norway

Speech Title: AI & CyberSecurity

Prof. Sule Yildirim Yayilgan works at the Department of Information Security and Communication Technology (IIK), NTNU since 2009. She received a MSc. degree in Computer Engineering in 1995, and PhD in Artificial Intelligence and Computer Science in 2002. She has worked more than 25 years in academia teaching (a copy of universitetpedagogikk certificate is in the CV) and doing research and served as Head of the Department between 2005-2009. She has participated in projects funded by EU Horizon 2020, Eurostars, Erasmus+ programs, the Research Council of Norway, the Regional Research Council of Norway and the Ministry of Foreign Affairs, Norway. She belongs to the Center for Cyber Information Security ( and she is leading the research group MR PET: Multidisciplinary Research group on Privacy and data protEcTion. She has been supervising students at different academic levels and has been publishing more than 100 journal and conference papers. My overall research goal is to be able to develop intelligent systems or their intelligence components. These intelligent systems provide decision support to humans and they can act ethically, legally and in a privacy preserving way. These systems are built using state of the art approaches in Artificial Intelligence, Machine Learning and Information Security. More specifically, in all the research areas, my more specific research aim and focus is to investigate and improve the use of data-driven methods in solving the challenges of each of these research areas. I develop and adapt techniques from Artificial Intelligence, Machine Learning & Deep Learning and Cybersecurity to solve the challenges and obtain optimal operation of the solutions. I work in the following application domains: health, energy, information security, education, artificial intelligence, other.

Prof. Alaa Sheta
Southern Connecticut State University, USA

Speech Title: Diagnosis of Obstructive Sleep Apnea Using Machine Learning

Alaa Sheta received his B.E. and M.Sc. degrees in Electronics and Communication Engineering from the Faculty of Engineering, Cairo University, in 1988 and 1994. In 1997, he received his Ph.D. from the Computer Science Department, School of Information Technology and Engineering, George Mason University, Fairfax, VA, USA. He was a consultant at the Ministry of Communication and Information Technology, Egypt, from 2002-2004. During that time, he was a project manager of the Economic Activities Project developed in collaboration with the Egyptian Ministry of Agriculture, the Cancer Registry Network, and the Telemedicine Projects with the Egyptian Ministry of Health. He was also a consultant by the UNDP for the Smart School Pilot Project in 2003. Prof. Sheta has held several leadership positions, such as the Vice Dean of Prince Abdullah Bin Ghazi Faculty of Science and Information Technology, Al-Balqa Applied University (BAU), Jordan (2008-2009), and the Dean Assistant for Planning and Development, College of Information Technology, BAU, Jordan (2006-2008). Prof. Sheta supervised more than 30 MS and Ph.D. dissertations. He received the Best Poster Award from the SGAI International Conference on Artificial Intelligence, Cambridge, the UK, in December 2011 for his publication on Quality Management of Manufacturing Processes. With a research focus on artificial intelligence, machine learning, Swarm Intelligence, image processing, deep learning, data mining, and metaheuristics search algorithms, Prof. Sheta has published over 160 research papers in top-tier journals, conference proceedings, and six book chapters. He also published two books, Landmine Detection and Classification and Image Reconstruction of a Manufacturing Process, by LAP LAMBERT Academic Publishing. He is also the co-editor of the book” Business Intelligence and Performance Management - Theory, Systems, and Industrial Applications” by Springer Verlag, United Kingdom, published in March 2013. He is a senior IEEE member and Associate Editor of the International Journal of Advanced Computer Science and Applications (IJACSA) and the International Journal of Computational Complexity and Intelligent Algorithms. He received funding from many national and international agencies in Egypt, Saudi Arabia, Jordan, and the NSF USA.