• I am working as Research Scientist at Meta.
• I received my Ph.D. from University of Texas at Arlington, and worked at Software Engineering Research Center under Dr. Christoph Csallner.
• I received my Bachelor’s Degree in Computer Engineering from Kathmandu University
• My research focuses on applications and development of machine learning/deep learning methods as well as natural language processing for Software Engineering and vice versa.

Recent News

• Jan 8th, 2024, Joined Meta as Research Scientist
• Nov 8th, 2023, Passed my Ph.D. defense. Slides
• Oct 27th, 2023, Presented Replicability Study: Corpora For Understanding Simulink Models & Projects at ESEM Slides
• Sept 8th, 2023, Received NSF Travel grant to attend ESEM 2023
• Aug 21st, 2023, Received Travel support from ACCESS to attend SC23.
• Aug 18th, 2023, ScoutSL: An Open-source Simulink Search Engine is accepted at MODELS 2023
• Aug 9th-Aug10th, Attended blackhat 2023
• July 31st -Aug 4th, Virtually attended UAI 2023
• July 22nd-July 27th, 2023, Involved in PEARC 2023 Student Program and Volunteer.
• July 25th, 2023, Gave a lightning talk at PEARC 2023
• July 17th-21st, 2023, Volunteered at ISSTA/ECCOP 2023
• July 17th, 2023, Gave a talk at the ISSTA Doctoral Symposium. Slide
• July 7th, 2023, Received Travel Support Grant from ESEM 2023 SIGSOFT CAPS
• July 1st, 2023, Replicability Study: Corpora For Understanding Simulink Models & Projects is accepted at ESEM 2023 (CORE A, Acceptance rate: 29%)
• June 27, 2023, EvoSL: A Large Open-Source Corpus of Changes in Simulink Models & Projects is accepted at MODELS 2023 (CORE A, Acceptance rate: 24.6%)
• June 23, 2023, Accepted as a WISP Scholar to attend blackhat USA 2023 Conference
• June 17, 2023, Received UAI 2023 Student Scholarship.
• June 5, 2023, Harnessing Large Language Models for Simulink Toolchain Testing and Developing Diverse Open-Source Corpora of Simulink Models for Metric and Evolution Analysis is accepted in ISSTA 2023 Doctoral Symposium
• June 1, 2023, Received Travel Support Grant from SIGSOFT CAPS ISSTA 2023
• June 1, 2023, Received Grant to attend PEARC 2023 CSSN Community Engagement Grant
• May 22, 2023, Accepted in the Student Volunteer program in ISSTA 2023
• May 19, 2023, Accepted in PEARC 23 Student Program
• May 9, 2023, Received UTA Graduate School Summer Dissertation Fellowship.
• May 1, 2023, Defended my Dissertation Proposal.
• April 6, 2023, Leverage Language Models to Tackle Software Engineering Problems in Commercial Cyber-physical System Toolchain is accepted at TAPIA 2023
• May - August, 2022. Interned at Meta. Worked in budget pacing system of Facebook Marketplace.
• May 18, 2022. Presented SLNET: A Redistributable Corpus of 3rd-party Simulink Models at MSR 2022 Talk Metric Tool
• March 4, 2022. SLNET: A Redistributable Corpus of 3rd-party Simulink Models was accepted at MSR 2022 (CORE A , Acceptance rate: 74% (high acceptance rate has to do with the high-quality submission to the datashowcase track))
• June 21, 2021, Presented SLGPT: Using transfer learning to directly generate Simulink model files and find bugs in the Simulink toolchain. at EASE 2021. Talk
• May - August, 2021. Interned at Atos Syntel. Worked in computer vision, natural language processing related projects.
• April 20, 2021. SLGPT: Using transfer learning to directly generate Simulink model files and find bugs in the Simulink toolchain. was accepted at EASE 2021 (CORE A, Acceptance rate: 33.3%)
• July 7 -11, 2020. Volunteered in ICSE.
• July 1, 2020. Presented DeepFuzzSL: Generating Models with Deep Learning to Find Bugs in the Simulink Compiler at DeepTest 2020
• February 26, 2020. DeepFuzzSL: Generating Models with Deep Learning to Find Bugs in the Simulink Compiler was accepted at DeepTest 2020.
• February 6, 2020. Demo: SLEMI: Finding Simulink Compiler Bugs through Equivalence Modulo Input (EMI) was accepted at ICSE 2020 (CORE A*, Acceptance rate: 33.3%).
• February 2, 2020. I will be presenting my research Automatic Generation of Simulink Models to Find Bugs in a Cyber-Physical System Tool Chain using Deep Learning at ACM Student Research Competition at ICSE 2020.
• December 8, 2019. Our paper SLEMI: Equivalence Modulo Input (EMI) Based Mutation of CPS Models for Finding Compiler Bugs in Simulink was accepted in International Conference in Software Engineering 2020(ICSE) (CORE A*, Acceptance rate: 20.9%)
• August 8, 2019. Our National Science Foundation NSF grant to explore mutation and deep-learning based compiler validation has been accepted!
• May 30, 2019. Received Diversity and Inclusion fellowship to attend ICML.
• May 18 - 25, 2019. Was accepted to Ninth Summer School on Formal Techniques.
• December 2 - 8, 2018. Volunteered in NeurIPS.
• November 30 - December 2,2018. Received travel grant to attend Self-Organizing Conference on Machine Learning.
• November 13, 2018, Presented poster on “Precomputing Outputs of Hidden Layers to Speed Up Deep Neural Network Training” in ACM Student Research Competition at SC18.
• November 11–16, 2018. Volunteered in International Conference for High Performance Computing, Networking, Storage and Analysis (SC18).
• June 10 - June 15, 2018. Volunteered in SIGMOD/PODS.
• May 27, 2018. Gave a talk at RAISE 2018. Slides can be found here.
• January 22, 2018. Our paper “Complementing Machine Learning Classifiers Via Dynamic Symbolic Execution:“Human vs. Bot Generated” Tweets” was published in International Workshop on Realizing Artificial Intelligence Synergies in Software Engineering (RAISE).