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  • Chris Kim VLSI Research Group

The Very Large Integrated Systems (VLSI) Research Group at the University of Minnesota focuses on developing core circuit technologies for enabling smart and energy-efficient integrated systems. Applications we target range from machine learning and neuromorphic computing, hardware security, internet-of-things, medical devices, sensor networks, radiation hardened chips, to beyond CMOS computing. Our group’s research frequently appears in top VLSI technology and circuit design publications such as ISSCC, IEDM, VLSI, CICC, IRPS, NSREC, and various IEEE journals.

Recent News

June 2020: Ibrahim presented his 560 coupled oscillator Ising chip at the VLSI symposium. ising

April 2020: Five alumni present papers at 2020 ISSCC. Read more at https://ece.umn.edu/prof-chris-kims-proteges-at-2020-isscc/

October 2018: Minsu's eFlash based neural network paper (in collaboration with Anaflash) is accepted to IEDM. This year, our group publishes in all three major VLSI conferences; ISSCC, VLSI Symposium, and IEDM. 

April 2018: Prof. Kim receives the University of Minnesota Taylor Award for Distinguished Research. [Link1][Link2]

Sep. 2017: Saurabh's paper on a 14nm logic soft error test chip has been accepted to IEDM as a best student paper candidate. 

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