Keynote Speakers

Title: Advanced Techniques for IC Design Automation: Quantum Computing, Machine Learning, and Bio-inspired Optimization

Dr. Lihong Zhang

Bio:

Dr. Lihong Zhang (Senior Member, IEEE) is currently a Full Professor with the Department of Electrical and Computer Engineering, Faculty of Engineering and Applied Science, Memorial University of Newfoundland, St. John’s, NL, Canada. He received the Ph.D. degree in electrical engineering from the Otto-von-Guericke University of Magdeburg, Magdeburg, Germany, in 2003. He was a Postdoctoral Research Associate with Concordia University, Montreal, QC, Canada; Dalhousie University, Halifax, NS, Canada; and the University of Washington, Seattle, WA, USA. His current research interests include very large-scale integration computer-aided design, mixed-signal integrated system/circuit design, microelectromechanical systems design and design automation, wireless sensor networks, microfluidics and biosensors, and microprocessor-based instrumentation for ocean and biomedical applications.

Dr. Trung Q. Duong

Dr. Trung Q. Duong

Bio:

Dr. Trung Q. Duong (IEEE Fellow and AAIA Fellow) is a Canada Excellence Research Chair and Full Professor at Memorial University of Newfoundland, Canada. He is also an adjunct Chair Professor in Telecommunications at Queen’s University Belfast, UK.  His current research interests include quantum optimisation and machine learning in wireless communications. He has published 500+ books/bookchapters/papers with 19,000+ citations and h-index 75. He has served as an Editor for many reputable IEEE journals (IEEE Trans on Wireless Communications, IEEE Trans on Communications, IEEE Trans on Vehicular Technology, EEE Communications Surveys & Tutorials, IEEE Communications Letters, and IEEE Wireless Communications Letters) and has been awarded best paper awards in many flagship conferences including IEEE ICC 2014, IEEE GLOBECOM 2016, 2019, and 2022. He is the recipient of the Research Fellowship (2015-2020) and Research Chair (2020-2025) of the Royal Academy of Engineering. In 2017, he was awarded the Newton Prize from the UK government. He is a Fellow of IEEE and a Fellow of Asia-Pacific Artificial Intelligence Association (AAIA).