Speaker: ECE alum, Professor Kai Wang,School of Electronics and Information Technology, Sun Yat-sen University, Guangzhou, China
Date: July 15, 2024
Time: 10:00am
Location: EIT 3142
All are welcome!
Abstract:
The general requirements and development trends of CMOS image sensors for consumer electronics and machine vision are high resolution, high sensitivity, and wide spectral dynamic fast response. Over the past 30 years, academia and industry have put significant efforts and attempts on researching and designing advanced photodetectors, pixel circuits, and fabrication processes, including the adoption of new materials and processes, as well as the proposal and evolution of various active pixel sensor circuits. These technologies have made CMOS image sensors a great success and led to a multi-billion dollar business that continues to grow particularly with the emergence of applications in AR/VRs, artificial intelligence, and autonomous driving, however, how to simultaneously achieve high resolution, high sensitivity, and wide dynamic range at low power consumption and computation cost, still remains as a great challenge.
Inspired by the working principles of human retina and neuromorphic computing, this talk will address the retinomorphic design and architecture, and discusses latest research and development on pixel and neuromorphic circuits for enabling retinomorphic spike vision sensors.
About the speaker:
Kai Wang is currently a full Professor at the School of Electronics and Information Technology at Sun Yat-sen University (SYSU), as well as the Director of the SYSU-AJYJ Joint Laboratory of Biomedical Application Specific Integrated Circuits (BASICs). He also holds the title of Yat-sen Scholar Distinguished Professor at SYSU and serves as the Head of the Electronic Information Science and Technology academic program. Additionally, he is a key member of the State Key Laboratory of Optoelectronic Materials and Technologies at SYSU and an Adjunct Professor in the Department of Electrical and Computer Engineering at Carnegie Mellon University, USA, and in the Department of Engineering at the University of Guelph, Canada. He previously worked at Apple Inc. as a Senior Hardware R&D Engineer. Over the past five years, he has published over 60 papers in academic journals such as Nature Electronics, Nature Communications, IEEE EDL, and top international conferences like IEDM, and been granted over 20 patents, many of which have been successfully transferred to industry.