Naresh R. Shanbhag
Affiliations: | University of Illinois, Urbana-Champaign, Urbana-Champaign, IL |
Area:
Electronics and Electrical EngineeringWebsite:
https://ece.illinois.edu/about/directory/faculty/shanbhagGoogle:
"Naresh R Shanbhag"Parents
Sign in to add mentorKeshab K. Parhi | grad student | 1993 | UMN | |
(Design of Pipelined VLSI Adaptive Digital Filters with Relaxed Look-Ahead) |
Children
Sign in to add traineeYingyan Lin | grad student | UIUC (MathTree) | |
Manish Goel | grad student | 2000 | UIUC |
Rajamohana M. Hegde | grad student | 2002 | UIUC |
Hyeon-Min Bae | grad student | 2004 | UIUC |
Ganesh Balamurugan | grad student | 2004 | UIUC |
Seok-Jun Lee | grad student | 2004 | UIUC |
Byonghyo Shim | grad student | 2005 | UIUC |
Arshad Ahmed | grad student | 2006 | UIUC |
Srinivasa R. Sridhara | grad student | 2006 | UIUC |
Girish V. Varatkar | grad student | 2008 | UIUC |
Rajan Lakshmi Narasimha | grad student | 2011 | UIUC |
Yongjune Kim | post-doc | 2016-2018 | UIUC |
BETA: Related publications
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Publications
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Kang M, Srivastava P, Adve V, et al. (2019) An Energy-Efficient Programmable Mixed-Signal Accelerator for Machine Learning Algorithms Ieee Micro. 39: 64-72 |
Kim Y, Raman RK, Kim Y, et al. (2019) Efficient Local Secret Sharing for Distributed Blockchain Systems Ieee Communications Letters. 23: 282-285 |
Patil AD, Manipatruni S, Nikonov DE, et al. (2019) Error-Resilient Spintronics via the Shannon- Inspired Model of Computation Ieee Journal On Exploratory Solid-State Computational Devices and Circuits. 5: 10-18 |
Patil AD, Manipatruni S, Nikonov DE, et al. (2019) Boosted Spin Channel Networks for Energy-Efficient Inference Ieee Journal On Exploratory Solid-State Computational Devices and Circuits. 5: 34-42 |
Shanbhag NR, Verma N, Kim Y, et al. (2019) Shannon-Inspired Statistical Computing for the Nanoscale Era Proceedings of the Ieee. 107: 90-107 |
Sakr C, Kim Y, Shanbhag N. (2019) Minimum Precision Requirements of General Margin Hyperplane Classifiers Ieee Journal On Emerging and Selected Topics in Circuits and Systems. 9: 253-266 |
Kim Y, Kang M, Varshney LR, et al. (2018) Generalized Water-Filling for Source-Aware Energy-Efficient SRAMs Ieee Transactions On Communications. 66: 4826-4841 |
Gonugondla SK, Kang M, Shanbhag NR. (2018) A Variation-Tolerant In-Memory Machine Learning Classifier via On-Chip Training Ieee Journal of Solid-State Circuits. 53: 3163-3173 |
Kang M, Gonugondla SK, Lim S, et al. (2018) A 19.4-nJ/Decision, 364-K Decisions/s, In-Memory Random Forest Multi-Class Inference Accelerator Ieee Journal of Solid-State Circuits. 53: 2126-2135 |
Kang M, Gonugondla SK, Patil A, et al. (2018) A Multi-Functional In-Memory Inference Processor Using a Standard 6T SRAM Array Ieee Journal of Solid-State Circuits. 53: 642-655 |