People
Yu (Kevin) Cao
Louis John Schnell Professor
Ph.D. in Electrical Engineering, University of California, Berkeley, 2002
M.A. in Biophysics, University of California, Berkeley, 1999
B.S. in Physics, Peking University, 1996
Curriculum Vitae, Google Scholar
Keller Hall 5-131, 200 Union St. Se, Minneapolis, MN 55455
Tel.: 612-625-5517; FAX: 612-625-4583
E-mail: yucao@umn.edu
Prof. Cao was a recipient of the 2022 Best IP Award at DATE, the 2022 and 2009 Distinguished Lecturer of IEEE CASS, the 2021 Intel Outstanding Researcher Award, the 2012 Best Paper Award at ISVLSI, the 2009 ACM SIGDA Outstanding New Faculty Award, the 2009 Promotion and Tenure Faculty Exemplar at ASU, the 2007 Best Paper Award at ISLPED, the 2006 NSF CAREER Award, the 2006 and 2007 IBM Faculty Award, the 2004 Best Paper Award at ISQED, the 2000 Beatrice Winner Award at ISSCC, and seven times Top 5% Teaching Awards at ASU. He was elevated to IEEE Fellow in 2017, for development of predictive technology models for reliable circuit and system integration. He has published numerous articles and two books on nano-CMOS modeling and physical design.
Current Members
Post-Docs
Keshari Nandan, Compact model of ferroelectric devices, 2023
Students
Sayantan Ghosh, Master, 3D IC design, 2024
Jacob Johnson, Master, AI chiplets and integration, 2024
Kishore Kasichainula, Ph.D., Energy-efficient VLSI design, 2021
Ashish Kumar Kola, Master, Heterogeneous integration and prototyping, 2024
Pragnya Nalla, Ph.D., Algorithm-hardware co-design for heterogeneous integration, 2022
Sharad Nag, Master, Heterogeneous integration and prototyping, 2024
Gopikrishnan Raveendran Nair, Ph.D., AI hardware design, 2020
John Stolzberg-Schray, Master, AI chiplets, 2024
Zhenyu Wang, Ph.D., 2.5D/3D heterogeneous integration, 2019
Ziyao Yang, Ph.D., Machine learning for microelectronics, 2021
Fuqi Zhang, Master, AI acceleration and edge computing, 2024
Tianyi Zhang, Ph.D., AI for energy-efficient computing, 2021
Alumni
Amol Gaidhane, Post-Doc, Compact modeling for cryogenic design, 2021 - 2024
Jingbo Sun, Ph.D., May 2024, Dissertation "Continual learning with novelty detection: Algorithms and applications to image and microelectronic design," now with Intel
Gokul Krishnan, Ph.D., August 2022, Dissertation “Energy-efficient in-memory acceleration of DNNs through a hardware-software co-design approach,“ now with Apple
Ajay Kuzhively, MS, June 2021, Thesis “Quantization and evaluation of AI algorithms for hardware acceleration,” now with Qualcomm
Manvitha Pannala, MS, April 2021, Thesis “End-to-end performance benchmarking tool for high-speed memory access,” now with AMD
Zheng Li, Ph.D., October 2020, Dissertation “Visual perception, prediction and understanding with relations,” now with Meta
Xiaocong Du, Ph.D., October 2020, Dissertation “Efficient and online deep learning through model plasticity and stability,” now with Meta
Ang Chen, Ph.D., September 2020, Dissertation “Wireless wearable sensor to characterize respiratory behaviors,” now with Maxim Integrated
Gouranga Charan, MS, May 2020, Dissertation “Joint algorithm-design solution for online learning and dynamic adaptation,” now with ASU
Abinash Mohanty, Ph.D., October 2018, Dissertation “Algorithm and hardware design for efficient deep learning inference,” now with Google
Hidayatullah Chowdary, MS, September 2018, “Energy modeling of machine learning algorithms on general purpose hardware,” now with Qualcomm
Ankita Bansal, MS, June 2016, Thesis “Reliability issues and design solutions in advanced CMOS design,” now with Intel
Zihan Xu, Ph.D., December 2017, Dissertation “Algorithm and hardware co-design for learning on-a-chip,” now with Google
Devyani Patra, MS, November 2017, Thesis “Accelerated aging: device to circuits,” now with Apple
Srivatsava Gorthy, MS, August 2017, Thesis “Visual saliency application in object detection for search space reduction,” now with Cirrus Logic
Zhiming Yang, Visiting Scholar, Harbin Institute of Technology, China, March 2016 - March 2017
Ankita Bansal, MS, June 2016, Thesis “Reliability issues and design solutions in advanced CMOS design,“ now with Intel
Naveen Suda, Ph.D., December 2015, Thesis “Reconfigurable architectures and systems for IoT applications,“ now with Meta
Ketul Sutaria, Ph.D., November 2014, Thesis “Modeling and simulation tools for aging effects in scaled CMOS design,“ now with Intel
Pei An, MS, November 2013, Thesis “Reliable arithmetic circuit design inspired by SN P systems,“ now with Supertex
Yao Ma, Visiting Scholar, Sichuan University, China, September 2012 - August 2013
Venkatesa Sarma Ravi, MS, February 2013, Thesis “Statistical characterization and decomposition of SRAM cell variability and aging,“ now with Samsung
Anupama Subramaniam, Ph.D., November 2012, Thesis “Efficient circuit analysis under multiple input switching,“ now with Intel
Jyothi Velamala, Ph.D., November 2012, Thesis “Compact modeling and simulation for digital circuit aging,“ now with Intel
Cheng Xu, MS, November 2012, Thesis “Programmable analog device array (PANDA): a methodology for transistor-level analog emulation,“ now with Microchip
Saurabh Sinha, Ph.D., November 2011, Thesis “Neuromorphic controller for low power systems: from devices to circuits,“ now with Apple
Yun Ye, Ph.D., April 2011, Thesis “Modeling and simulation fo variations in nano-CMOS design,“ now with Intel
Run Zheng, MS, April 2011, Thesis “Aging predictive models and simulation methods for analog and mixed-signal circuits,“ now with Loongson
Chi-Chao Wang, Ph.D., March 2011, Thesis “Predictive modeling for extremely scaled CMOS and post-silicon devices,“ now with Intel
Jia Ni, MS, May 2010, Thesis “Rigorous extraction of Vth variation in SRAM cell transistors,“ now with Bloomberg L. P.
Min Chen, Ph.D., May 2010, Thesis “Design for reliability: from silicon characterization, model calibration, to efficient simulation,“ now with Qualcomm
Varsha Balakrishnan, MS, Nov 2009, Thesis “Circuit aging simulation for digital and analog circuits,“ now with Global Foudries
Wei Zhao, Ph.D., March 2009, Thesis “Predictive technology modeling for scaled CMOS design,“ now with Qualcomm
Wenping Wang, Ph.D., June 2008, Thesis “Circuit aging in scaled CMOS design: modeling, simulation, and prediction,“ now with Qualcomm
Dinesh Ganesan, MS, Dec 2007, Thesis “Finite point gate model,“ now with Freescale
Asha Balijepalli, Ph.D., Dec 2007, Thesis “Compact modeling and applications of a PD SOI MESFET,“ now with Apple
Ritu Singhal, MS, Sept 2007, Thesis “Compact modeling of non-rectangular gate effect,“ now with Intel
Rakesh Vattikonda, MS, July 2007, Thesis “Predictive modeling of NBTI effect,“ now with Qualcomm
Tarun Sairam, MS, July 2006, Thesis “Low-power digital design with FinFET technology,“ now with Sun