26th ACM MSWiM 2023

Keynote Speakers

In addition to scientific papers, the MSWiM 2023 program includes distinguished Keynote Speakers.

Title: Research Directions in Network Architectures and Protocols for Intelligent Digital Infrastructures

Prof. J.J. Garcia-Luna-Aceves
University of Toronto, Canada

Abstract: The availability of vast computing resources today allows us to reimagine how wireless networks and the Internet at large could operate if far more machine intelligence were used inside the networks themselves, rather than just at the servers and clients using them, and to develop new network architectures and protocols for intelligent digital infrastructures. In this talk I describe early results of how communication protocols can be reimagined taking into account machine intelligence and memory, and outline research directions for the development of protocols for intelligent digital infrastructures.

Short Bio: J.J. Garcia-Luna-Aceves is a Professor in the ECE Department at the University of Toronto. He is a Distinguished Professor Emeritus at the University of California, Santa Cruz (UCSC); and has been a Principal Scientist at Xerox PARC, a Center Director at SRI International (SRI), a Principal of Protocol Design at Nokia, and Department Chair and CITRIS Campus Director at UCSC. He was elected a Corresponding Member of the Mexican Academy of Sciences in 2013. He is an IEEE Life Fellow, and is a Fellow of the ACM, AAAS (American Association for the Advancement of Science), NAI (National Academy of Inventors), and AAIA (Asia-Pacific Artificial Intelligence Association). He received the 2023 Harry H. Goode Memorial Award from the IEEE Computer Society, the 2016 IEEE MILCOM Technical Achievement Award, the 2012 IEEE Communications Society AHSN TC Technical Recognition Award, the 2011 IEEE Computer Society Technical Achievement Award, and the 2017 George E. Pake Golden Oak Award from PARC. In addition, he received the SRI International Exceptional-Achievement Award in 1985 and 1989. He has published more than 500 papers in journals, conferences and books; holds 70 U.S. patents; and his H-index is 104.


Title: Quantum Leap: Exploring the potential of Quantum Machine learning for Communication Networks

Prof. Soumaya Cherkaoui
Polytechnique Montreal, Canada

Abstract: Future 6G networks are expected to surpass the advances made in 5G, by providing the faster speeds, lower latency and extended coverage needed for emerging transformative applications, while at the same time achieving greater energy and spectral efficiency, as well as enhanced security and reliability. Although 6G is currently in its initial phases of development and standardization, it is already foreseen to incorporate not just incremental technical enhancements but also pioneering innovations compared to its forerunner, 5G. Indeed, quantum technologies are expected to play an important role in 6G. This goes beyond mechanisms such as quantum key distribution for secure communications; it includes the integration of quantum computing for advanced data processing within 6G networks. As 6G networks are set to integrate artificial intelligence and machine learning even more intrinsically into their operation, the concept of quantum machine learning (QML) emerges as a promising opportunity to enable swift data processing, network optimization, and greater security and privacy. In this presentation, we will look at the fundamentals of quantum computing and quantum machine learning, explore the possibilities they offer for future 6G networks, and the potential for revolutionary advances they offer, while presenting some of the important challenges associated with their integration into 6G networks.

Short Bio: Soumaya Cherkaoui is a Full Professor at the Department of Computer and Software Engineering at Polytechnique Montreal, Canada. Her research interests are in wireless networks. Particularly, she works on Machine learning empowered next generation networks (B5G/6G), distributed edge intelligence, and communication networks for verticals such as connected and autonomous vehicles, IoT, and Industrial IoT. She leads a research group which conducts research funded both by government and industry. Before joining academia as a professor in 1999, she worked for industry as a project leader on projects targeted at the Aerospace Industry. Cherkaoui has held invited positions at leading institutions including the University of California at Berkeley. Bell Laboratories, Monash University, and the University of Toronto, as well as an adjunct position at Lulea University, in Sweden. Pr. Cherkaoui has a long research experience in wireless networking. Her work resulted in technology transfer to companies and to patented technology. She has delivered several keynote addresses and invited talks in the area. Pr. Cherkaoui has published over 200 research papers in reputed journals and conferences. She has been a guest editor and a member of the editorial board of several IEEE, Wiley, and Elsevier Journals including IEEE JSAC, IEEE Network, IEEE Systems and Computer Networks. Her work was awarded with recognitions and best paper awards including a best paper award at the IEEE Communications Society Flagship conference IEEE ICC in 2017. She has chaired prestigious conferences such as IEEE LCN 2019 and has served as a symposium co-chair for flagship conferences including IEEE ICC 2018, IEEE Globecom 2018, IEEE Globecom 2015, IEEE ICC 2014, and IEEE PIMRC 2011. She was also Chair of the IEEE Communications Society Technical Committee on IoT-Ad hoc and Sensor Networks. She is a professional engineer.