KEYNOTE SPEECH 1

Machine Learning and Cognition-Driven

Approaches to Microwave Design
Professor Q. J. Zhang, Chancellor’s Professor Department of Electronics, Carleton University,Fellow of the IEEE, and a Fellow of the Canadian Academy.
Abstract and Bio of Prof. Zhang

Micro/Nanoelectronics: Towards End of Scaling and Beyond

Professor Bin Yu, Zhejiang University, Hangzhou, the Fellow of IEEE, Fellow of National Academy of Inventors.

Wigner-Smith Time Delays in Electromagnetics

Professor Eric Michielssen, Department of Electrical Engineering and Computer Science, University of Michigan, a Fellow of the IEEE and a number of URSI Commission B.

KEYNOTE SPEECH 4

Modeling and Simulation Challenges Involving Multi-Physics, Multi-Scale, Multi-Dimention and Multi-Signal Electromagnetics

Professor Ke Wu, Poly-Grames Research Center, Department of Electrical Engineering, Ecole Polytechnique, University of Montreal, a Fellow of the IEEE, a Fellow of the Canadian Academy of Egnineering(CAE) and a Fellow of the Royal Society of Canada.

Abstract and Bio of Prof. Wu

KEYNOTE SPEECH 5

Dynamically Adaptive Refinement for Multiphysics and Multiscale Modeling

Professor Jianming Jin, Center for Computational Electromagnetics, Department of Electrical and Computer Engineering, University of Illinois at Urbana-Champaign Urbana, Illinois, a Fellow of IEEE, OSA, ACES, and Electromagnetics Academy.

Abstract and Bio of Prof. Jin

KEYNOTE SPEECH 6

Deep Learning Based Design and Simulation Methodologies for HBM(High-bandwidth Memory Module) in Artificial Intelligence (AI) Server Computers

Professor Joungho Kim, Professor of Electrical Engineering Department of KAIST, IEEE Fellow.

Abstract and Bio of Prof. Kim