Bongjin Kim

Bongjin received PhD degree from the University of Minnesota in 2014. After PhD, He worked on design techniques and methodologies for communication circuits and microarchitectures at Rambus and Stanford University as a senior staff and a postdoctoral research fellow. After working as an assistant professor at Nanyang Technological University in Singapore for three years (from 2017 to 2020), he joined the Department of Electrical and Computer Engineering (ECE) at the University of California, Santa Barbara.

His research team develops innovative CMOS integrated circuits and system solutions to solve challenging problems in fundamental science/mathematics and accelerate computations and communications. Target applications include, but are not limited to, artificial intelligence, machine learning, robotics, and alternative computing.

He received the Doctoral Dissertation Fellowship Award at the University of Minnesota and the ISLPED International Low Power Design Contest Award. His research works have been published in peer-reviewed conferences and journals, including the International Solid-State Circuits Conference (ISSCC), VLSI Symposium, Custom Integrated Circuits Conference (CICC), and Journal of Solid-State Circuits (JSSC). He has served on the technical program committee for Design Automation Conference (DAC) and the IEEE Solid-State Circuits Letter (SSC-L) editorial review board.

Research Interests

• Integrated Circuits and Systems,
• Memory-Centric Computing,
• Analog Mixed-Signal and Digital VLSI,
• Hardware Accelerator,
• Alternative Computing,
• Brain-Inspired and Neuromorphic computing,
• Machine Learning Hardware,
• Design Automation