Keynote Speech

Keynote 1 [P1] – 10/27 (Thu.) 10:10-11:10

Dr. Edward Yi Chang 張翼 講座教授

International College of Semiconductor Technology,
National Yang Ming Chiao Tung University, TAIWAN

High Vth ferroelectric gate stack GaN HEMT for power switching applications

Edward-Yi Chang
Department of Materials Science and Engineering, and International College of Semiconductor Technology,
National Yang Ming Chiao Tung University

AlGaN/GaN high-electron-mobility transistors (HEMTs) have high saturation velocity, high mobility, and high current density with high breakdown electric field, which make them promising for next-generation high power and high frequency device applications. However, AlGaN/GaN HEMTs always demonstrate normally-on operation, which is not desirable for Electrical vehicle applications due to safety concerns. To achieve normally-off operation for GaN HEMT device, several methods have been proposed to achieve high positive threshold voltage. For example, p-GaN, recessed-gate, and fluorine treated AlGaN technologies have been demonstrated. In this work, a new charge storage structure with hybrid ferroelectric charge-trapping gate stack is used to realize the GaN E-mode MIS-HEMT for power switching applications. This gate stack structure combines ferroelectric film with charge-trapping layer and current blocking film, resulting in a polarization charge field against the applied gate voltage, and thus achieves a large positive shift of the threshold voltage. As a result, the device has a high Vth, meanwhile maintain low on Resistance, high IDS,MAX, and high breakdown voltage are maintained, perfect for EV applications.

Keywords: AlGaN/GaN HEMTs, metal-insulator-semiconductor (MIS)-HEMT, enhancement-mode, ferroelectric materials, charge trap gate stack.


Dr. Edward Yi Chang received the Ph.D. degree from University of Minnesota, Minneapolis, in 1985. He is a Chief Director of Microelectronics and Information Research Center (MIRC) and Director of TSMC Center, National Yang Ming Chiao Tung University, Taiwan. He is an IEEE Life Fellow and Japan Society of Applied Physics Fellow International. Prof. Chang is a Distinguished Visiting Professor, Indian Institute of Technology Bombay and a Distinguished Lecturer of the IEEE Electron Devices Society.

  • Chief Director, Microelectronics and Information Systems Research Center
  • Associate Dean, Industry Academia Innovation School
  • Chair Professor, Department of Materials Science and Department of Electronics Engineering, National Yang Ming Chiao Tung University, Hsinchu, Taiwan
  • Chairman, Academia Industry Consortium for Science Park in Hsinchu, Taiwan



Keynote 2 [P2] – 10/27 (Thu.) 11:10-12:10

Dr. Yung-Hui Li 栗永徽 博士

鴻海研究院人工智慧研究所 所長
Artificial Intelligence Research Center,Hon-Hai Research Institute, TAIWAN

Introduction to Machine Learning, Deep Learning and Artificial Intelligence

Yung-Hui Li
AI Research Center of Hon Hai Research Institute, Foxconn, Taiwan


The emergence of deep learning has seamlessly accompanied artificial intelligence entering the next era. As artificial intelligence rapidly permeates across all sectors, what are the core concepts of artificial intelligence technology utilized in different applications?

In this talk, we will start from exploring the true potentiality of machine learning, and elaborate the core concepts of machine learning, deep learning, and artificial intelligence, and the differentiation between them. In addition, basic technical approaches in machine learning and deep learning will also be introduced.

Finally, we will introduce several common areas of AI technological development, including GAN, explainable AI, methodologies for constructing models, AI security, etc. Each area will be comprehensively explained to provide the audience with a more in-depth understanding of the development of artificial intelligence.


Dr. Yung-Hui Li is the founding director of AI Research Center of Hon Hai Research Institute, which is the highest research organization in Foxconn. He received his BS degree from National Taiwan University in 1995, the M.S. degree from University of Pennsylvania in 1998, and the Ph.D. degree from school of computer science of Carnegie Mellon University in 2010. Before joining Foxconn, he served as tenured faculty in National Central University, Taoyuan, Taiwan. He is the author of 90+ conference and journal papers and has written five book chapters. His current research interests include AI, deep learning, machine learning, computer vision and biometric recognition.