Dr. Frank Chang
Distinguished Professor, and Wintek Chair in Electrical Engineering, UCLA | Fellow of the IEEE & Fellow of the NAI Member of the NAE
- April 14, 2017
- 2:00 PM
- ECS 241
Dr. Frank Chang is currently the President of National Chiao Tung University, Hsinchu, Taiwan. He is also the Wintek Distinguished Chair Professor of Electrical Engineering at UCLA. Before joining UCLA in 1997, he was the Assistant Director and Department Manager of High-Speed Electronics Laboratory at the Rockwell Science Center, Thousand Oaks, California (1983-1997). Throughout his career, his research has primarily focused on developing high-speed semiconductor devices and integrated circuits for high-frequency and mixed-signal radio, Radar, interconnect and imaging systems. He was elected to National Academy of Engineering (US) in 2008 and Academia Sinica (Taiwan, ROC) in 2012 for his research in advancing modern High-Speed Electronics. He is also an IEEE Fellow and received IEEE David Sarnoff Award in 2006 for developing high linearity and high power-added-efficiency GaAs HBT power amplifiers for handheld digital wireless communication systems (especially for 2G-4G cell phones).
There is an increased interest in recent time to explore mm-Wave and Sub-mm-Wave (Terahertz) systems from 60-1000GHz (i.e. up to 1 Terahertz) for radio, radar and imagers due to unique quasi-optical characteristics of such wave spectra. In the meantime, the continuous scaling has made modern CMOS with gate dimensions less than 65 nm a potential contender with improved device speed (cut-off frequencies ft and fmax >300GHz) and superior System-on-a-Chip integration. Nevertheless, deep-scaled CMOS suffers its own disadvantages from limited linearity/dynamic range, low intrinsic gain, high process variation and excessive substrate loss. In this talk, we will discuss various algorithms and techniques developed at UCLA to overcome CMOS technology drawback in order for implementing highly integrated and portable radio/radar/imager systems with unprecedented spectra coverage, energy efficiency and cost/size-effectiveness.