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 ONR Science of AI program, and the NSF Scalable Parallelism in the Extreme (SPX) program.

 

Teaching

·       Spring 2021:

o   CS 5633 Analysis of Algorithms

·       Spring 2020:

o   COT 5405 Design and Analysis of Algorithms

o   COT 6908 Independent Study on Automated Synthesis of Computing Systems

Students

·       Post-doctoral Alumni:

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

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

·       PhD Students:

o   Sven Thijssen (BS, KU Leuven)

o   Jodh Singh Pannu (MS, University of Central Florida)

o   Suraj Sangireddy (BS, University of Central Florida)

·       Doctoral Alumni:

o   Dr. Alvaro Velasquez (Government research scientist at the Air Force Research Laboratory AFRL Information Directorate, New York)

o   Dr. Sunny Raj (IIT Dhanbad; tenure-track assistant professor at Oakland University, Michigan)

o   Prof. Dwaipayan Chakraborty (Oak Ridge National Laboratory and then tenure-track assistant professor at Rowan University, New Jersey)

o   Dr. Arfeen Khalid (LUMS Pakistan; Sighthound, Orlando)

o   Prof. Faraz Hussain (BITS Pilani; tenure-track assistant professor at Clarkson University, New York)

o   Dr. Amad ul Hassen (Research Manager, SUPARCO, Pakistan)

o   Dr. Emily Sassano (Research Scientist, Sanofi, Orlando)

o   Dr. Mesut Ozdag (Research Scientist, Roche, California)

o   Dr. Jim Pyrich (CEO)

 

 

Selected Publications

·       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.

 

·       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).

 

·       Pannu JS, Raj S, Fernandes SL, Chakraborty D, Rafiq S, Cady N, Jha SK. Design and Fabrication of Flow-based Edge Detection Memristor Crossbar Circuits. IEEE Transactions on Circuits and Systems (TCAS) II: Express Briefs. 2020 Mar 30.

 

·       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.

 

·       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.

 

·       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.

 

·       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.

 

·       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.

 

 

Educational Background

·       PhD, Computer Science, Carnegie Mellon University 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

 

 

Contact Information

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

 

Personal Email: firstname.middlename.lastname@gmail

Last updated: May 2020.