Naresh R Shanbhag
- Jack S. Kilby Professor of Electrical and Computer Engineering
For more information
- Ph.D., Electrical Engineering, University of Minnesota, June 1993
I teach courses in digital and analog integrated circuit design, digital signal processing, probability with engineering applications, VLSI architectures and algorithms for machine learning, communications and signal processing.
My research investigates the design of energy-efficient machine learning and communication systems in scaled silicon and beyond CMOS technologies. Our work innovates across systems, algorithms, architectures and integrated circuits.
Undergraduate Research Opportunities
Research opportunities exist for the creative, enthusiastic and hardworking undergraduate in the areas of integrated circuit design, VLSI architectures for DSP and communications, and machine learning implementations.
- deep in-memory architectures and integrated circuits for inference at the Edge
- machine learning algorithms and architectures for resource-constrained compute platforms
- energy and latency-efficient integrated circuits for machine learning, communications, and signal processing
- Autonomous Systems and Artificial Intelligence
- Machine learning
Books Authored or Co-Authored (Original Editions)
- M. Kang, S. Gonugondla, and N. R. Shanbhag, Deep In-memory Architectures for Machine Learning, Springer Nature, 2020.
- N. R. Shanbhag and K. K. Parhi, Pipelined Adaptive Digital Filters, Kluwer Academic Publishers, 1994.
- 2019 IEEE International Symposium on Circuits and Systems Best Paper Award
- 2018 SIA-SRC University Researcher Award, Semiconductor Industry Association
- 2016 IEEE International Conference on Acoustics, Speech and Signal Processing Best Student Paper Award
- The D. J. Gandhi Distinguished Visiting Professorship from The Indian Institute of Technology, Mumbai, India
- 2015 IEEE International Symposium on Circuits and Systems Best Paper Award
- Jack Kilby Professorship, Department of Electrical and Computer Engineering, 2012
- Low-power Design Contest Award, IEEE International Symposium on Low-Power Electronic Design (ISLPED), 2012
- 2010 Richard A. Newton GSRC Industrial Impact Award
- IEEE International Solid-State Circuits Conference's 2008 Outstanding Special-Topic Evening Award
- IEEE Journal of Solid-State Circuits Best Paper Award, 2006
- IEEE Fellow, 2006
- 2006 International Reliability Physics Symposium paper recognized as one of the "Jewels of IRPS"
- IEEE Circuits and Systems Society Transactions on Very Large Scale Integration (VLSI) Systems Best Paper Award, 2001
- Distinguished Lecturer of the IEEE Circuits and Systems Society, 1999-01.
- Xerox Faculty Research Award, 1999.
- IEEE Leon K. Kirchmayer Prize Paper Award, 1999.
- Distinguished Lecturer of the IEEE Circuits and Systems Society, 1997-99.
- National Science Foundation CAREER Award, 1996.
- IEEE Circuits and Systems Society Darlington Prize Paper Award, 1994.
Recent Courses Taught
- ECE 310 - Digital Signal Processing
- ECE 311 - Digital Signal Processing Lab
- ECE 313 (MATH 362) - Probability with Engrg Applic
- ECE 342 - Electronic Circuits
- ECE 482 - Digital IC Design
- ECE 498 NSG (ECE 498 NSU) - Rsrc-Constr Mach Lrn Edge App
- ECE 598 NS (ECE 598 NSG, ECE 598 ON1) - Deep Learning in Hardware