Sumit Kumar Jha 
Professor of Computer Science
School of Computing and Information Science
Florida International University

 

Research

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 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


Educational Background

·       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

 

·    C. Walker, SK Jha, S. Chen, and R. Ewetz, Integrated Decision Gradients: Compute Your Attributions Where the Model Makes Its Decision. In 38th AAAI International Conference on Artificial Intelligence (AAAI) 2024. Download Arxiv  Download PDF

 

·    SK Jha, S. Jha, R. Ewetz, and A. Velasquez, On the Design of Novel Attention Mechanism for Enhanced Efficiency of Transformers. In 61st ACM Design Automation Conference (DAC), 2024. Download PDF

 

·    S. Thijssen, M. Rashed, SK Jha, and R. Ewetz, Synthesis of Compact Flow-based Computing Circuits from Boolean Expressions. In 61st ACM Design Automation Conference (DAC), 2024. Download PDF

 

·    M. Rashed, S. Thijssen, D. Simon, SK Jha, and R. Ewetz, Execution Sequence Optimization for Processing In-Memory using Parallel Data Preparation. In 61st ACM Design Automation Conference (DAC), 2024. Download PDF

 

·    M. Hossain, M. Ahmed, L. Pullum, R. Ewetz, SK Jha, Neuro-Symbolic Representations of 3D Scenes using Universal Scene Description Language. In Neuro-Symbolic Learning and Reasoning in the era of Large Language Models Workshop co-located with the 38th AAAI International Conference on Artificial Intelligence (AAAI) 2024. Download PDF

·    I. Alkhouri, SK Jha, R. Ewetz, S. Jha, and A. Velasquez, Exploring the Predictive Capabilities of AlphaFold Using Adversarial Protein Sequences. In IEEE Transactions on Artificial Intelligence (IEEE TAI) 2024. Download PDF

 

·    Thijssen, M. Rashed, SK Jha, and R. Ewetz, PATH: Evaluation of Boolean Logic using Path-based In-Memory Computing Systems, IEEE Trans. on Computer-aided Design of Integrated Circuits and Systems (IEEE TCAD) 2024. Download PDF

 

·    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 Arxiv     Download PDF  (BEST PAPER CANDIDATE)

 

·    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 Arxiv     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 60th 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 (IEEE 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 (IEEE 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 (IEEE 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.

 

 

Software

 

Invited Talks

·       Automated Synthesis for Quantum Circuits using Inductive Reasoning and Symbolic Deduction, In Quantum Algorithm Design Automation (QADA) at the IEEE International Conference on Quantum Computing and Engineering (QEC) 2023. Watch Video

 

Teaching

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 2024:

       o   CAP 6619 - U01 Advanced Topics in Machine Learning: Trust in AI (32 graduate students) Student Perception of Instruction: 4.9/5.0

 ·      Spring 2023:

 o   CS 6463 Advanced Topics: Trust in AI (18 graduate students) Student Perception of Instruction: 4.9/5.0

·       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


Students and Alumni

·       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   Dr. Jodh Singh Pannu (MS, University of Central Florida)

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   Dr. Suraj Sangireddy (BS, University of Central Florida)

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)

 

Undergraduate Research and Outreach

 

o   High School Senior Research:

Poonacha Cheppudira (BASIS Charter School; a copy of the student’s blog hosted by the school is located here.)

 

Contact Information

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.

 

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