Sumit Kumar Jha 
Professor
Computer Science Department 
University of Texas at San Antonio

 

Research

My research interests lie in the following areas: 

·       Artificial Intelligence

·       Quantum Computing

·       Logic and Automata Theory

·       Emerging Architectures

I am currently the Principal Investigator on the DARPA GARD program, the AFRL ML-RCP program, the ONR Science of AI program, the Department of Energy Explainable AI program, and the NSF Scalable Parallelism in the Extreme (SPX) program.

 

Citizenship: United States

Educational Background

·       PhD, 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. 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.

 

·    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. Singireddy, SK Jha, and R. Ewetz, Adversarial Robustness against Perceptual Attacks, International Workshop on Perception in Safety-Critical Cyber-Physical Systems (PerCPS@CPS), 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.

 

 

Teaching

I serve as the Graduate Chair for the UTSA MS in Computer Science and the UTSA MS in AI (Computer Science) programs; please see this FAQ and use the following email to reach the program staff: CSMSGradChair@utsa.edu

 

·       Spring 2023:

 o   CS 6463 Advanced Topics: Trust in AI

·       Spring 2022, Spring 2023:

 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

Students

·   Post-doctoral Students:

o   Dr.  Priyanka Kumar

o   Dr. Lipismita Panigrahi

 

·       Post-doctoral Alumni:

o   Prof. Steven Lawrence Fernandes (moving to Omaha, Nebraska as a tenure-track assistant professor in Fall 2020)

o   Prof. Sumit Tetarave (moving to KIIT University, India as a tenure-track assistant professor in Spring 2023)

o   Prof. Sunny Raj (moving to Oakland University, Detroit, Michigan as a tenure-track assistant professor in Fall 2020)

 

·       PhD Students:

o   Sven Thijssen (BS, KU Leuven)

o   Muhammad Rashed (MS, University of Central Florida)

o   Suraj Sangireddy (BS, University of Central Florida)

o   Jodh Singh Pannu (MS, 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)

o   Prof. Sunny Raj (IIT Dhanbad; Assistant Professor at Oakland University, Michigan)

o   Prof. Faraz Hussain (BITS Pilani; Assistant Professor at Clarkson University, New York)

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)

 

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.)

 

Contact Information

Sumit Kumar Jha
Computer Science Department
University of Texas at San Antonio
Email: sumit.jha@utsa.edu
Office: North Paseo Building 4^th floor (Data Science Center)

 

Personal Email: firstname.middlename.lastname@gmail

Last updated: May 2020.