Machine Learning Applications to IC and MEMS Design Automation


This technical presentation will discuss the applications of machine learning techniques to address the challenges of analog electronic design automation (EDA) and Micro-Electro-Mechanical Systems (MEMS) design automation. Upon the basics of the reinforcement learning technique, we will talk about our recent studies in the areas of analog integrated circuit (IC) sizing and analog layout placement. We will also discuss our deep-learning-based optimization for designing a low-frequency piezoelectric MEMS energy harvester. Some research insights on machine learning in analog EDA and MEMS design automation will be presented at the end of the talk.

  Date and Time




  • Date: 26 Nov 2021
  • Time: 09:30 AM to 10:30 AM
  • All times are (GMT-03:30) Canada/Newfoundland
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  • St. John's, Newfoundland and Labrador
  • Canada


Dr. Lihong Zhang


Dr. Lihong Zhang received the M.Sc. degree from Huazhong University of Science and Technology (China) in 1997 and Ph.D. degree from Otto-von-Guericke University of Magdeburg (Germany) in 2003 both in electrical engineering. He was a Postdoctoral Research Associate with Concordia University (Montreal, Canada), Dalhousie University (Halifax, Canada), and University of Washington (Seattle, USA) from 2003 to 2006. In Oct. 2006, Dr. Zhang joined the Faculty of Engineering and Applied Science at Memorial University of Newfoundland, St. John's, Canada, where he is currently a Full Professor with the Department of Electrical and Computer Engineering. He founded and is now leading Computer-Aided Design Laboratory for Analog and Mixed-Signal VLSI Systems at Memorial University, which is the first one in Atlantic Canada. In 2008 he was awarded Leaders Opportunity Fund from Canada Foundation for Innovation (CFI), which is granted to the recognized leaders who strengthen Canada’s capacity for world-class research and technology development. He received Faculty Award for Research Excellence in 2016 and Faculty Award for Graduate Student Supervision in 2020 from the Faculty of Engineering and Applied Science at Memorial University. He has published over 130 technical papers plus one book and one book chapter. He holds two US patents. His research interests include very large scale integration (VLSI) computer-aided design, analog and mixed-signal integrated circuit design, digital system and circuit design, MEMS design and design automation, wireless sensor networks, microfluidics and biosensors, and microprocessor-based instrumentation in ocean and biomedical applications. Dr. Zhang founded and currently chairs the IEEE Newfoundland-Labrador Section Computer Society, Communication Society, and Circuits & Systems Joint Societies Chapter.