| Professor Miaowen WenIEEE Senior Member, South China University of Technology, China Bio: Miaowen Wen received the Ph.D. degree from Peking University, Beijing, China, in 2014. From 2019 to 2021, he was the Hong Kong Scholar with the Department of Electrical and Electronic Engineering, The University of Hong Kong, Hong Kong. He is currently a Professor with South China University of Technology, Guangzhou, China. He has authored or co-authored two books and more than 200 journal articles. His research interests include wireless and molecular communications. He was a recipient of the IEEE Asia-Pacific (AP) Outstanding Young Researcher Award in 2020. He was the Winner of the Data Bakeoff Competition (Molecular MlMO) at the IEEE Communication Theory Workshop (CTW), Selfoss, Iceland. He served as an Editor/a Guest Editor of IEEE Transactions on Communications, IEEE Journal on Selected Areas in Communications, and IEEE Journal of Selected Topics in Signal Processing. He is an Editor/a Senior Editor of IEEE Transactions on Wireless Communications, IEEE Transactions on Molecular, Biological, and Multi-scale Communications, and IEEE Communications Letters. Speech Title：Affine Frequency Division Multiplexing (AFDM): Principle, implementation, and challenges Abstract: Sixth-generation (6G) are expected to introduce new usage scenarios, along with enhanced and new capabilities. In 6G networks, high-mobility communications that enjoy high reliability and operate at high carrier frequencies will play a critical role. However, orthogonal frequency division multiplexing, widely used in current wireless networks, suffers from significant performance degradation in high-mobility scenarios, since frequency dispersion resulting from Doppler shifts destroys the subcarrier orthogonality and causes inter-carrier interference. Recently, affine frequency division multiplexing (AFDM) has emerged as a promising waveform, which can achieve the optimal diversity order over doubly dispersive channels. After revisiting the characteristics of doubly dispersive channels, this talk introduces the fundamentals of AFDM, and then some implementation issues of AFDM with our proposed solutions. Finally, some open challenges of AFDM are discussed. |
| Professor Pro Lip YeeIEEE Senior Member,Universiti Malaya, Malaysia Bio:Dr. Lip Yee, an esteemed Professor at the Department of System and Computer Technology within the Faculty of Computer Science and Information Technology at the Universiti Malaya, Malaysia, earned his Ph.D. from the Universiti Malaya under the mentorship of Prof. Abdullah bin Gani in 2012. He is also a senior member of the IEEE. Since then, Dr. Por has made significant contributions to academia, research, and industry. Dr. Por's research endeavors have been at the forefront of technological advancement, particularly in the domains of security and quality assurance of information (NEC 2020: 0611) and machine learning (NEC 2020: 0613). His research interests include machine learning, support vector machines, deep learning, long-short-term memory, computer vision, AIoT, IoT, blockchain, authentication, graphic passwords, PIN-entry, cryptography, data hiding, steganography, and watermarking. His pioneering work has garnered recognition both nationally and internationally, with over 100 academic papers published in reputable journals. Notably, he was among the first few pioneers to publish in the top 1% of ISI journals, with commendable citations across platforms such as Web of Science, Scopus, and Google Scholar. Web of Science (H-index: 18, 1343 citations), Scopus (H-index: 22, 1748 citations), and Google Scholar (H-index: 29, 2777 citations) databases (last update: July 13, 2024).https://www.webofscience.com/wos/author/record/B-5309-2010. |
| Professor Thippa Reddy GadekalluIEEE Senior Member, Zhejiang A&F University, China Bio: Thippa Reddy Gadekallu (IEEE Senior Member) received the bachelor’s degree in computer science and engineering from Nagarjuna University, India, in 2003, the master’s degree in computer science and engineering from Anna University, Chennai, Tamil Nadu, India, in 2011, and the Ph.D. degree from Vellore Institute of Technology, Vellore, Tamil Nadu, in 2017. He is currently with the Division of Research and Development, Lovely Professional University, Phagwara, India, the Department of Electrical and Computer Engineering, Lebanese American University, Byblos, Lebanon, and the Center of Research Impact and Outcome, Chitkara University, Punjab, India. He has more than 14 years of experience in teaching. He has more than 150 international/national publications in reputed journals and conferences.His research interests include machine learning, the Internet of Things, deep neural networks, blockchain, and computer vision. He is an editor of several publishers, such as Springer, Hindawi, Plosone, Scientific Reports (Nature), and Wiley. He also acted as a guest editor in several reputed publishers, such as IEEE, Elsevier, Springer, Hindawi, and MDPI. He was recently recognized as one among the top 2% scientists in the world as per the survey conducted by Elsevier, in 2021. Speech Title：Agentic AI Security in 6G Networks Abstract: The convergence of agentic AI and 6G networks marks a turning point in network security. Agentic AI systems are autonomous agents that perceive, remember, plan, and act within the network itself - making them powerful tools but also introducing complex security challenges. This talk provides a structured examination of how attackers can weaponize agentic AI across radio access, open RAN, and digital twin layers, while also showing how the internal components of these agents become vulnerable to manipulation. The presentation concludes with defenses and governance frameworks needed to build agentic systems that are autonomous yet trustworthy, emphasizing that security must be built into the fabric of how these agents think and act. |
