KEYNOTES

DAVID LO

Singapore Management University, Singapore

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David Lo is a Professor of Computer Science and Director of the Information and Systems Cluster at School of Computing and Information Systems, Singapore Management University. He leads the Software Analytics Research (SOAR) group. His research interest is in the intersection of software engineering, cybersecurity, and data science, encompassing socio-technical aspects and analysis of different kinds of software artifacts, with the goal of improving software quality and security and developer productivity. His work has been published in major and premier conferences and journals in the area of software engineering, AI, and cybersecurity attracting substantial interest from the community. His work has been supported by NRF, MOE, NCR, AI Singapore, and several international research projects. He has won more than 15 international research and service awards including 6 ACM SIGSOFT Distinguished Paper Awards. He has received a number of international honors including IEEE Fellow (class of 2022, through Computer Society), Fellow of Automated Software Engineering (class of 2021), and ACM Distinguished Member (class of 2019).

LONG BAO LE

University of Quebec, Canada

Long Bao Le is a full professor at INRS, University of Quebec, Canada where he is the director of Networks and Cyber Physical Systems Lab (NECPHY-Lab). Before joining University of Quebec, he had held research positions at Massachusetts Institute of Technology (MIT) and University of Waterloo. His current research interests include enabling technologies for 5G-and-beyond wireless networks, next-generation Internet, metaverse, and smart applications such as smart power grids and smart transportation systems. Prof. Le and his research team have published more than 220 articles on leading IEEE journals and conferences where his publications have received more than 11,000 citations according to Google Scholar. He is a co-author of the books Radio Resource Management in Multi-Tier Cellular Wireless Networks (Wiley, 2013) and Radio Resource Management in Wireless Networks: An Engineering Approach (Cambridge University Press, 2017). Prof. Le has served as an editor for several flagship IEEE journals including IEEE Transactions on Wireless Communications, IEEE Communications Surveys & Tutorials, IEEE Wireless Communications Letters, and IEEE Transactions on Cognitive Communications and Networking.

Laurent El Ghaoui

VIN University, Vietnam

UC Berkeley, United States

 

Laurent El Ghaoui is Dean of College of Engineering & Computer Science. Prior to his current appointment at VinUniversity, Prof. El Ghaoui taught at the Department of Electrical Engineering & Computer Science and Department of Industrial Engineering & Operations Research at University of California, Berkeley (ranked #32 worldwide according to the QS World University Rankings 2021). He also taught Data Science within the Master of Financial Engineering at UC Berkeley’s Haas Business School. Besides being a researcher and a lecturer, Prof. El Ghaoui is also a consultant and an entrepreneur. According to him, these experiences solving real-world problems have supplemented his research life tremendously.