Keynote Speakers
Keynote Title 1: Machine Learning Applications to Microsystems Design Automation
Prof. Lihong Zhang
Faculty of Engineering and Applied Science,
Memorial University of Newfoundland, Canada
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.
Keynote Title 2: Quantum Machine Learning for 6G Networks
Prof. Trung Q. Duong
Canada Excellence Research Chair and
Professor at Memorial University, Canada
Bio:
Dr. Trung Q. Duong (Fellow, IEEE) is a Canada Excellence Research Chair and Full Professor at Memorial University of Newfoundland, Canada. He is also an adjunct professor Queen’s University Belfast, UK. His current research interests include quantum optimisation and machine learning in wireless communications. He has published 600+ books/bookchapters/papers with 22,000+ citations and h-index 80. He has served as an Editor for many reputable IEEE journals (IEEE TWC, IEEE TCOM, IEEE TVT, IEEE COMST, IEEE COML, and IEEE WCL) 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 in 20215 and Research Chair in 2020 of the Royal Academy of Engineering. In 2017, he was awarded the Newton Prize from the UK government. He is a Fellow of IEEE , EIC, and AAIA.
Dr. Bhaskara Narottama
Memorial University, Canada
Bio:
Dr. Bhaskara Narottama (Member, IEEE) received the bachelor’s degree in telecommunication engineering and the master’s degree in electrical and telecommunication engineering from Telkom University, Indonesia, in 2015 and 2017, respectively, and the Ph.D. degree in IT convergence engineering from the Kumoh National Institute of Technology, South Korea, in 2022. He was a Post-Doctoral Fellow with the Institut National de la Recherche Scientifique (INRS), Montreal, QC, Canada. He is currently a post-doc research fellow at Memorial University, Canada. His research interests include quantum-based machine learning, quantum-inspired algorithms, energy-efficient communications, multiple access techniques, and device-to-device communications.
