Sumit Kumar Jha
Professor of Computer Science
School of Computing and Information Science
Florida International University
My research interests
lie in the following areas:
· Artificial Intelligence
· Logic and Automata Theory
· Quantum Computing
· Emerging Architectures
I am always keen on mentoring high-school researchers,
undergraduate researchers, MS thesis students, Ph.D. dissertation students, and
post-doctoral researchers.
Principal Investigator for $15 million in selected and awarded projects
since 2014, including DARPA GARD, AFRL ML-RCP, ONR Science of AI, Department of
Energy EXPRESS, NSF Scalable Parallelism in the Extreme (SPX), NSF Software and
Hardware Foundations (SHF), NSF Principles and Practice of Scalable Systems (PPoSS), NSF Formal Methods in the Field (FMitF), NSF Secure and Trustworthy Computing (SaTC),
National Nuclear Security Administration (NNSA), Department of Energy (DOE)
ASCR RENEW, and AFOSR Young Investigator Program.
Citizenship: United States
·
Ph.D., Computer
Science, Carnegie Mellon University (August 2010)
Dissertation: Model Validation and Discovery of Complex Stochastic Systems Advisor: Professor Christopher James Langmead
· B. Tech. (Hons.) in Computer Science
and Engineering, Indian Institute of Technology (IIT) Kharagpur, India (May
2004)
Selected Publications
· S.
Thijssen, M. Rashed, SK Jha, and R. Ewetz, Towards Area-Efficient Path-Based In-Memory
Computing using Graph Isomorphisms, In 29th IEEE/ACM Asia and South Pacific
Design Automation Conference (ASP-DAC) 2024. Download PDF.
· S.
Thijssen, M. Rashed, SK Jha, and R. Ewetz, READ-based In-Memory Computing using Sentential
Decision Diagrams, In 29th IEEE/ACM Asia and South Pacific Design Automation
Conference (ASP-DAC) 2024. Download PDF.
· SK
Jha, S. Jha, P. Lincoln, Nathaniel D. Bastian, A. Velasquez, R. Ewetz, and S. Neema, Counterexample Guided Inductive Synthesis Using
Large Language Models and Satisfiability Solving. In IEEE Military
Communications Conference (MILCOM) 2023. Download PDF.
· SK
Jha, S. Jha, R. Ewetz, and A. Velasquez, Neural SDEs for Robust and Explainable
Analysis of Electromagnetic Unintended Radiated Emissions. In IEEE Military
Communications Conference (MILCOM) 2023. Download PDF.
· S.
Jha, SK Jha, P. Lincoln, Nathaniel D. Bastian, A. Velasquez, S. Neema, Dehallucinating Large
Language Models Using Formal Methods Guided Iterative Prompting, In IEEE
International Conference on Assured Autonomy (ICAA) 2023. Download PDF.
· M.
Rashed, S. Thijssen, H. Zheng, SK Jha, and R. Ewetz,
Path-based Processing using In-Memory Systolic Arrays for Accelerating
Data-Intensive Applications, In 42nd International
Conference on Computer-Aided Design (ICCAD) 2023. Download PDF.
· S.
Thijssen, M. Rashed, SK Jha, and R. Ewetz,
Verification of Flow-Based Computing Systems using Bounded Model Checking. In 42nd International Conference on Computer-Aided Design (ICCAD)
2023. Download PDF.
· M.
Rashed, S. Thijssen, SK Jha, and R. Ewetz, Automated
Synthesis for In-Memory Computing, In 42nd International
Conference on Computer-Aided Design (ICCAD) 2023. Download PDF.
· S. Thijssen, M. Rashed, SK Jha, and R. Ewetz,
UpTime: Towards Flow-based In-Memory Computing with
High Fault-Tolerance, In 59th Design Automation Conference (DAC), 2023. Download PDF
· M. Rashed, S. Thijssen, F. Yao, SK Jha, and R. Ewetz, STREAM: Towards
READ-based In-Memory Computing for Streaming Based Processing for
Data-Intensive Applications, in IEEE Trans. on Computer-aided Design of
Integrated Circuits and Systems (TCAD), 2023. Download PDF
· S. Singiredy, SK Jha, and R. Ewetz, Adversarial Robustness
against Perceptual Attacks, Presented at the International
Workshop on Perception in Safety-Critical Cyber-Physical Systems (PerCPS@CPS), 2023. Download
PDF
· S. Singiredy, S. Thijssen,
M. Rashed, R. Ewetz, and S. K. Jha, Input-Aware Flow-Based In-Memory Computing, In IEEE 41st International Conference on Computer
Design (ICCD) 2023. Download
PDF.
· C.
Walker, D. Simon, S.K. Jha and R. Ewetz, Adversarial Pixel and Patch Detection
Using Attribution Analysis, In IEEE Military Communications Conference (MILCOM)
2023. Download
PDF.
· SK Jha, R. Ewetz,
A. Velasquez, S. Jha, Responsible Reasoning with Large Language Models and The
Impact of Proper Nouns, Workshop on Trustworthy and Socially Responsible
Machine Learning at Conference on Neural Information Processing (TSRML@NeurIPS), 2022. Download PDF
· M. Rashed, SK Jha, and R. Ewetz, Logic Synthesis for Digital In-Memory Computing, In 41st International Conference on Computer-Aided Design (ICCAD) 2022. Download PDF (BEST PAPER CANDIDATE)
· Jha SK, Ewetz R, Velasquez A, Pullum L and S Jha, ExplainIt!
A Tool for Computing Robust Attributions of Deep Neural Networks, In 31st International
Joint Conference on Artificial Intelligence (IJCAI) 2022. Demo track. Download
PDF
· Jha SK, Ewetz R, Velasquez A, Ramanathan A. and S Jha, Shaping Noise for
Robust Attributions in Neural Stochastic Differential Equations, In 36th AAAI
International Conference on Artificial Intelligence (AAAI) 2022. Oral Presentation. Download PDF
· S. Thijssen, SK Jha, and R. Ewetz, PATH: Evaluation of Boolean
Logic using Path-based In-Memory Computing, In 59th Design Automation
Conference (DAC), 2022. Download PDF
· M. Rashed, Amro Awad, SK Jha, and R. Ewetz,
Towards Resilient Analog In-Memory Deep Learning via Data Layout
Re-Organization, In 59th Design Automation Conference (DAC), 2022. Download PDF
· S. Fernandes, S. Krivic, P. Sharma, and SK Jha, Attribution-Based Confidence
Metric for Detection of Adversarial Attacks on Breast Histopathological Images,
European Conference on Computer Vision (ECCV) Workshop, 2022. Download
PDF
· Rashed M, Jha SK, and Ewetz R, Hybrid Digital-Digital In-Memory
Computing, In Design
Automation and Test in Europe (DATE) 2022. Download
PDF
· S. Fernandes, S. Krivic, P. Sharma, and SK Jha, Detecting Adversarial
Attacks On Breast Cancer Diagnostic Systems Using
Attribution-based Confidence Metric, Medical Imaging Meets NeurIPS
(MedNeurIPS@NeurIPS), 2022 Download PDF
· S. Thijssen, SK Jha and R. Ewetz, COMPACT:
Flow-Based Computing on Nanoscale Crossbars with Minimal Semiperimeter
and Maximum Dimension, In IEEE Transactions on Computer-Aided Design of
Integrated Circuits and Systems (TCAD), 2022. Download PDF
· Jha SK, Ewetz R, Velasquez A, and S Jha, On Smoother Attributions using
Neural Stochastic Differential Equations, In 30th International
Joint Conference on Artificial Intelligence (IJCAI) 2021. Download PDF BibTex
· Rashed M, Jha SK, and Ewetz R, Hybrid Anlog-Digital In-Memory Computing, International Conference on Computer Aided Design (ICCAD) 2021. Download PDF
· Thijssen S, Jha SK, and Ewetz R. COMPACT:
Flow-Based Computing on Nanoscale Crossbars with Minimal Semiperimeter.
In Design Automation and Test in Europe (DATE) 2021. Download PDF (BEST PAPER CANDIDATE)
· Uysal N, Zhang B, Jha SJ, and Ewetz R. XMAP: Programming Memristor Crossbars for
Analog Matrix-Vector Multiplication: Towards High Precision using Representable
Matrices, in IEEE Transactions on Computer-aided Design of Integrated Circuits
and Systems (TCAD) 2021. Download
PDF
· Alvaro Velasquez, Sumit Kumar Jha,
Rickard Ewetz and Susmit
Jha. Automated Synthesis of Quantum Circuits Using Symbolic Abstractions and
Decision Procedures. In IEEE International Symposium on Circuits & Systems
(ISCAS) 2021. Download PDF
·
Sarah Rafiq, Beckmann K, Pannu JS, Jha SK and Cady N. Investigation of ReRAM
Variability on Flow-Based Edge Detection Computing using HfO2-Based ReRAM
Arrays. IEEE Transactions on Circuits and Systems (TCAS) I. 2021. Download PDF
· N. Uysal, B. Zhang, SK Jha, and R. Ewetz, "DP-MAP: Towards Resistive Dot-Product Engines with Improved Precision”, International Conference on Computer Aided Design (ICCAD), San Diego, 2020. Download PDF
· Jha S, Raj S, Fernandes S, Jha SK, Jha
S, Jalaian B, Verma G, Swami A. Attribution-Based
Confidence Metric for Deep Neural Networks. In Advances in Neural Information
Processing Systems (NIPS) 2019 (pp. 11826-11837). Download PDF BibTex
· Fernandes S, Raj S, Ortiz E, Vintila I, Salter M, Urosevic G,
Jha S. Predicting Heart Rate Variations of Deepfake Videos using Neural ODE. In
Proceedings of the International Conference on Computer Vision (ICCV)
Workshops 2020. IEEE. Download
PDF
· Raj S, Pannu
JS, Fernandes SL, Ramanathan A, Pullum LL, Jha SK. Attacking NIST biometric
image software using nonlinear optimization. Pattern Recognition Letters (PRL).
2020 Mar 1;131:79-84. Download PDF
· JS Pannu, Raj S, Fernandes SL, Sarah Rafiq, Cady N and Jha SK. Design and
Fabrication of Flow-based Edge Detection Memristor Crossbar Circuits. IEEE Transactions on Circuits and Systems (TCAS) II: Express
Briefs. 2020 May 1. Download
PDF
· Raj S, Fernandes SL, Michel A, Jha SK. Towards AI-driven Predictive Modeling of Gas Turbines Using Big Data. In AIAA Propulsion and Energy 2019. Download PDF
· Hassen AU, Chakraborty D, Jha SK. Free
binary decision diagram-based synthesis of compact crossbars for in-memory
computing. IEEE Transactions on Circuits and Systems (TCAS) II: Express
Briefs. 2018 Apr 2;65(5):622-6. Download
PDF
· Raj S, Jha SK. Predicting Success in
Undergraduate Parallel Programming via Probabilistic Causality Analysis. In
2018 IEEE International Parallel and Distributed Processing Symposium Workshops
(IPDPS) 2018 May 21 (pp. 347-352). IEEE. Download PDF
· Velasquez A, Jha SK. In-memory
computing using paths-based logic and heterogeneous components. In 2018 Design,
Automation & Test in Europe Conference & Exhibition (DATE) 2018
Mar 19 (pp. 1512-1515). IEEE.
· Velasquez A, Jha SK. Brief
announcement: Parallel transitive closure within 3d crosspoint
memory. In Proceedings of the 30th on Symposium on Parallelism in Algorithms
and Architectures (SPAA) 2018 Jul 11 (pp. 95-98).
· Raj S, Jha SK, Ramanathan A, Pullum LL.
Testing autonomous cyber-physical systems using fuzzing features from
convolutional neural networks: work-in-progress. In Proceedings of the
Thirteenth ACM International Conference on Embedded Software (EMSOFT)
2017 Companion 2017 Oct 15. ACM.
· Chakraborty D, Jha SK. Automated
synthesis of compact crossbars for sneak-path based in-memory computing. In
Design, Automation & Test in Europe Conference & Exhibition (DATE),
2017 2017 Mar 27 (pp. 770-775). IEEE.
· Ramanathan A, Pullum LL, Hussain F,
Chakrabarty D, Jha SK. Integrating symbolic and statistical methods for testing
intelligent systems: Applications to machine learning and computer vision. In
2016 Design, Automation & Test in Europe Conference & Exhibition (DATE)
2016 Mar 14 (pp. 786-791). IEEE.
· Jha SK, Langmead CJ, Mohalik S, Ramesh S. When to stop verification? Statistical
trade-off between expected loss and simulation cost. In 2011 Design, Automation
& Test in Europe (DATE) 2011 Mar 14 (pp. 1-6). IEEE.
Between 2021 and 2023,
I served as the Graduate Chair (10% administrative appointment) for the MS in
Computer Science and the MS in AI (Computer Science) programs at the University
of Texas at San Antonio.
·
Spring 2023:
o CS 6463 Advanced Topics: Trust in AI
·
Spring 2022:
o CS
6463 Advanced Topics: Trust in AI Student
Perception of Instruction: 5.0/5.0
·
Spring 2021:
o CS 5633 Analysis of Algorithms Student
Perception of Instruction: 4.0/5.0
· Spring 2020:
o COT 5405 Design and Analysis of
Algorithms Student Perception of
Instruction: 4.0/5.0
o COT 6908 Independent Study on Automated
Synthesis of Computing Systems
·
Undergraduate Students:
o Gabriel Hubner Ferreira Lucchesi (Honors in the Major, Computer Science, Florida
International University)
· Ph.D. Students:
o Sven Thijssen
(BS and MS, KU Leuven, graduating in 2024, co-advisor, Main advisor: Prof.
Rickard Ewetz at the University of Central Florida)
o Muhammad Rashed (BS, BUET and MS, University of Central Florida, graduating in 2024, co-advisor, Main advisor: Prof. Rickard Ewetz at the University of Central Florida)
· Doctoral Alumni:
o Prof. Alvaro Velasquez (Assistant Professor
at University of Colorado Boulder, formerly of the Air Force Research
Laboratory AFRL Information Directorate, New York)
o Dr. Arfeen
Khalid (LUMS Pakistan; Machine Learning Researcher, Comcast AI Labs)
o Prof. Dwaipayan
Chakraborty (Oak Ridge National Laboratory and then Assistant Professor at
Rowan University, New Jersey, funded by the National Science Foundation.)
o Prof. Sunny Raj (IIT Dhanbad; Assistant
Professor at Oakland University, Michigan, funded by the National Science
Foundation)
o Prof. Faraz Hussain (BITS Pilani; Assistant Professor at Clarkson University, New
York, funded by the National Science Foundation)
o Prof. Mesut Ozdag
(Visiting Assistant Professor, University of Central Florida, Orlando)
o Dr. Amad ul Hassen (Research Manager, SUPARCO, Pakistan)
o Dr. Emily Sassano (Research Scientist, Sanofi, Orlando)
o Dr. Jim Pyrich
(CEO)
· Post-doctoral Alumni:
o Prof.
Priyanka Kumar Singh (Ph.D. IIT Hyderabad, formerly an assistant
professor at Amrita University, currently at UTSA)
o Prof. Lipismita Panigrahi (Ph.D., NIT Raipur, formerly an assistant professor at KIIT University, currently at UTSA)
o Prof. Steven Lawrence Fernandes (moved to
Omaha, Nebraska as a tenure-track assistant professor in Fall 2020)
o Prof. Sumit Tetarave (moved to KIIT University, India as a
tenure-track assistant professor in Spring 2023)
o Prof. Sunny Raj (moved to Oakland University,
Detroit, Michigan as a tenure-track assistant professor in Fall 2020)
Outreach
· High School Senior Research:
o Poonacha Cheppudira
(BASIS Charter School; a copy of the student’s blog hosted by the school is
located here.)
Sumit Kumar Jha
Office: CASE 384
Computer Science Department, School of Computing and Information
Science
Florida International University
11200 SW 8th Street
Miami, FL 33199
Email: sumit.jha@fiu.edu
Personal Email: firstname.middlename.lastname@gmail
Last updated: August
2023.