Mingoo Seok

Mingoo Seok designs, prototypes, and validates general-purpose and specialized computing and signal-processing systems. He has created novel analog, mixed-signal, and digital circuits and system architecture that improve performance, energy-efficiency, robustness, and area-efficiency and enable new features such as artificial intelligence and machine learning. His group has prototyped more than 40 test chips for demonstrations. In 2017 he won a National Science Foundation Faculty Early Career Development (CAREER) award for his project focused on next-generation computing chip design.

Of particular interest to Seok are circuits, architecture adaptive to manufacturing process, temperature, voltage variations, and long-term wearout. He is also interested in integrated compact power converter circuits, to optimally design them with load circuits via non-conventional (e.g., event-driven) control systems. Another interest of his is machine-learning models and implementation for hardware systems having limited resources.

Seok received the BS (summa cum laude) in electrical engineering from Seoul National University, South Korea, in 2005, and the MS and PhD degree from University of Michigan in 2007 and 2011, respectively, both in electrical engineering. He was a member of technical staff in Texas Instruments, Dallas in 2011. He joined Columbia University in 2012.