Abstract

Recent advancements in quantum information science are poised to unleash new sensing, communication, control, and computing (SC³) capabilities. Synergies in SC³ promise the development of next-generation networks with unprecedented performance. For instance, (i) control of statistical information empowers practical quantum inference, (ii) quantum ranging and synchronization facilitate networked sensing, and (iii) remote entanglement establishment enables quantum telecomputation. Quantum Nexus unifies SC³ and provides key insights into the systematic design of quantum information technologies. Quantum Nexus has led to new theories and methodologies for, among others, quantum localization; quantum state design and discrimination; quantum information control; and concealed quantum telecomputation. This talk will introduce Quantum Nexus for SC³ and highlight key areas of research.

Biography

Moe Win is the Robert R. Taylor Professor at the Massachusetts Institute of Technology (MIT) and the founding director of the Quantum neXus Laboratory. Prior to joining MIT, he was with AT&T Research Laboratories and the NASA Jet Propulsion Laboratory. His research encompasses theoretical foundations, algorithm design, and network experimentation for a broad range of real-world problems. His current research topics include network localization and navigation, network interference exploitation, and quantum information science. Professor Win has served the IEEE Communications Society as an elected Member-at-Large on the Board of Governors, as elected Chair of the Radio Communications Committee, and as an IEEE Distinguished Lecturer. He was honored with two IEEE Technical Field Awards: the IEEE Kiyo Tomiyasu Award and the IEEE Eric E. Sumner Award. His publications, co-authored with students and colleagues, have received several awards. Other recognitions include the MIT Frank E. Perkins Award, MIT Everett Moore Baker Award, the IEEE Vehicular Technology Society James Evans Avant Garde Award, the IEEE Communications Society Edwin H. Armstrong Achievement Award, the Cristoforo Colombo International Prize for Communications, the Copernicus Fellowship and the Laurea Honoris Causa from the Università degli Studi di Ferrara, and the U.S. Presidential Early Career Award for Scientists and Engineers. Professor Win is elected Fellow of the AAAS, the EURASIP, the IEEE, and the IET.

Abstract

Artificial Intelligence (AI) is becoming an important engine in networking and communications. However, the application of AI in networking research is still limited. Moreover, we do not have decent theoretical understanding of the various perspectives of AI, such as the learning models, datasets, optimization, and so on. As a matter of fact, we are at the doorstep of the theoretical development of artificial intelligence for networking. In this talk, we firstly introduce the challenges of AI for networking from mathematical perspective, and then we present current leading mathematical tools for explainable AI and AI modelling for networking. Finally, we show some existing effort in mathematical AI in networking and communications. We hope the talk will shed light on the fields for energetic researchers at this unfolding history of AI age.

Biography

Shui Yu is a Professor of School of Computer Science, University of Technology Sydney, Australia. He is the Deputy Chair of the Research Committee of University of Technology Sydney. His research interest includes Mathematical AI, Cybersecurity, Network Science, and Big Data. He has published seven monographs and edited two books, more than 650 technical papers at different venues. His current h-index is 86. Professor Yu promoted the research field of networking for big data since 2013, and his research outputs have been widely adopted by industrial systems, such as Amazon cloud security. He is currently serving the editorial boards of IEEE Communications Surveys and Tutorials (Area Editor), IEEE Transactions on Cognitive Communications and Networking, and IEEE Transactions on Dependable and Secure Computing. He is a Distinguished Visitor of IEEE Computer Society, and an elected member of the Board of Governors of IEEE Communications Society. He is a member of ACM and AAAS, and a Fellow of IEEE.