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.
April 2017: Chen's DAC paper entitled "Secure and Reliable XOR Arbiter PUF Design: An Experimental Study based on 1 Trillion Challenge Response Pair Measurements" is selected as a best paper candidate.
April 2017: Congratulations to group members for getting papers accepted to major conferences on a variety of topics including a time-based neuromorphic IC, a time-based decision feedback equalizer, highly sensitive radiation sensors, secure physical unclonable functions, and a counterfeit IC detection sensor.
Sep. 2016: The joint paper published in ICCAD 2006 with Prof. Sachin Sapatnekar’s group entitled “An Analytical Model for Negative Bias Temperature Instability”, is the winner of the 2016 ICCAD Ten Year Retrospective Most Influential Paper Award. [LINK TO PAPER]
Aug. 2016: Chen Zhou wins the best paper award at the International Symposium on Low Power Electronics and Design (www.islped.org) for his paper entitled “Soft Response Generation and Thresholding Strategies for Linear and Feedforward MUX based PUFs”. Chen’s best paper was selected out of 71 accepted papers.