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Naresh Shanbhag
Full Professor, Electrical and Computer Engineering, University of Illinois, Urbana-Champaign
Joined
July 2019
Names
Naresh Shanbhag
,
Naresh R. Shanbhag
Emails
****@illinois.edu
(Confirmed)
Personal Links
Homepage
Google Scholar
DBLP
Career & Education History
Full Professor
Electrical and Computer Engineering,
University of Illinois, Urbana-Champaign
(uiuc.edu)
2004
–
Present
Researcher
AT&T Bell Labs
(att.com)
1993
–
1995
PhD student
University of Minnesota - Twin Cities
(umn.edu)
1990
–
1993
MS student
Wright State University
(wright.edu)
1988
–
1990
Undergrad student
Indian Institute of Technology, Delhi
(iitd.ac.in)
1984
–
1988
Advisors, Relations & Conflicts
PhD Advisor
Keshab Parhi
1990
–
1993
Expertise
deep learning in hardware
Present
energy efficiency
Present
adversarial training
Present
low-complexity deep nets
Present
Publications
Grow to Compress? Efficient Training of Robust Networks on the Edge
Vignesh Sundaresha
,
Naresh Shanbhag
Compression Workshop @ NeurIPS 2024
Readers:
Everyone
Growing Efficient Accurate and Robust Neural Networks on the Edge
Vignesh Sundaresha
,
Naresh Shanbhag
Submitted to ICLR 2025
Readers:
Everyone
On the Robustness of Randomized Ensembles to Adversarial Perturbations
Hassan Dbouk
,
Naresh Shanbhag
ICML 2023 Poster
Readers:
Everyone
On the Robustness of Randomized Ensembles to Adversarial Perturbations
Hassan Dbouk
,
Naresh R. Shanbhag
2023 (modified: 17 Apr 2023)
CoRR 2023
Readers:
Everyone
On the Robustness of Randomized Ensembles to Adversarial Perturbations
Hassan Dbouk
,
Naresh Shanbhag
Published: 01 Feb 2023, Last Modified: 14 Jan 2026
Submitted to ICLR 2023
Readers:
Everyone
Fundamental Limits on Energy-Delay-Accuracy of In-Memory Architectures in Inference Applications
Sujan K. Gonugondla
,
Charbel Sakr
,
Hassan Dbouk
,
Naresh R. Shanbhag
2022 (modified: 01 Oct 2022)
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 2022
Readers:
Everyone
Adversarial Vulnerability of Randomized Ensembles
Hassan Dbouk
,
Naresh R. Shanbhag
2022 (modified: 17 Apr 2023)
ICML 2022
Readers:
Everyone
IMPQ: Reduced Complexity Neural Networks Via Granular Precision Assignment
Sujan Kumar Gonugondla
,
Naresh R. Shanbhag
2022 (modified: 17 Apr 2023)
ICASSP 2022
Readers:
Everyone
Fundamental Limits on the Computational Accuracy of Resistive Crossbar-based In-memory Architectures
Saion K. Roy
,
Ameya Patil
,
Naresh R. Shanbhag
2022 (modified: 17 Apr 2023)
ISCAS 2022
Readers:
Everyone
Adversarial Vulnerability of Randomized Ensembles
Hassan Dbouk
,
Naresh R. Shanbhag
2022 (modified: 17 Apr 2023)
CoRR 2022
Readers:
Everyone
View all 249 publications
Co-Authors
Aadithya V. Karthik
Aaron Martin
Abdulrahman Mahmoud
Adam C. Faust
Aditya Gupta
Alex Schwing
Alexander G. Schwing
Ameya D. Patil
Ameya Patil
Andreas Cangellaris
Andrew C. Singer
Andrew Miller
Ankit Srivastava
Ankur Agrawal
Anshumali Shrivastava
Aolin Xu
Arshad Ahmed
Aseem Wadhwa
Atila Alvandpour
Bo Li
Bryan Casper
Byonghyo Shim
C. L. Liu
Carl A. Gunter
Charbel Sakr
View all 194 co-authors