Recent News


2023

  • October - Awarded the ACM SIGSOFT CAPS Travel Grant of USD 400 to attend ESEC/FSE 2023.
  • October - Our paper on Programming Assistant for Exception Handling with CodeBERT, is accepted for publication at the 46th IEEE/ACM International Conference on Software Engineering - ICSE 2024
  • July - Our paper on DeMinify: Neural Variable Name Recovery and Type Inference, is accepted for publication at the 30th ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering - ESEC/FSE 2023
  • May - Will be presenting our work on (Partial) Program Dependence Learning at ICSE’23.
  • May - Will be presenting our work on DeepVD: Towards Class-Separation Features for Neural Network Vulnerability Detection at ICSE’23.
  • May - Will be attending ICSE’23 at Melbourne, Australia.
  • May - Our paper on Commit-Level, Neural Vulnerability Detection and Assessment, is accepted for publication at the 30th ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering - ESEC/FSE 2023
  • May - Our paper on (Partial) Program Dependence Learning accepted for publication at ICSE 2023 was nominated for the ACM SIGSOFT Distinguished Paper Award!
  • April - Awarded the ACM SIGSOFT CAPS Travel Grant of USD 500 to attend ICSE 2023.

    2022

  • December - Our paper on (Partial) Program Dependence Learning, is accepted for publication at the 45th IEEE/ACM International Conference on Software Engineering - ICSE 2023
  • December - Our paper on DeepVD: Towards Class-Separation Features for Neural Network Vulnerability Detection, is accepted for publication at the 45th IEEE/ACM International Conference on Software Engineering - ICSE 2023
  • December - Happy to serve as a Junior PC Member at MSR 2023 in the Technical Research track.
  • October - Will be presenting our work on Next Syntactic-Unit Code Completion and Applications at ASE’22.
  • October - Will be attending ASE’22 at Rochester, MI.
  • August - Our paper on A Hybrid Approach for Inference between Behavioral Exception API Documentation and Implementations, and Its Applications, is accepted for publication at the 37th IEEE/ACM International Conference on Automated Software Engineering - ASE 2022
  • July - Our paper on Next Syntactic-Unit Code Completion and Applications, is accepted for publication at the 37th IEEE/ACM International Conference on Automated Software Engineering: New Ideas and Emerging Results Track - ASE 2022 (NIER)
  • June - Started as a Graduate Research Assistant under Dr. Tien N. Nguyen, at the University of Texas at Dallas.
  • May - Will be attending ICSE’22 at Pittsburgh, PA.
  • March - Will be presenting our work on Phrase2Set, Phrase-to-Set Machine Translation and Its Software Engineering Applications at SANER’22.
  • March - Will be attending SANER’22 virtually.
  • March - Our paper on Phrase2Set, Phrase-to-Set Machine Translation and Its Software Engineering Applications accepted for publication at SANER 2022 was awarded the IEEE Computer Society TCSE Distinguished Paper Award!

2021

  • December - Our paper on Phrase2Set, Phrase-to-Set Machine Translation and Its Software Engineering Applications, is accepted for publication at the 29th IEEE International Conference on Software Analysis, Evolution and Reengineering - SANER 2022
  • September - Began pursuing research under Dr. Tien Nguyen, at the intersection of Software Engineering and Artificial Intelligence.
  • August - Successfully completed my stint as a Data Science Intern at A.I. Camp.
  • August - Awarded 1st Prize in Project Dazzle, an internal Hackathon at A.I. Camp. Built an AI-powered visual search engine, rubrix, which performs image search and reverse image search.
  • June - Began working as a Data Science Intern at A.I. Camp. Key responsibilities include teaching high-school students the fundamentals of Python, Machine Learning, and Deep Learning.
  • <in progress> - Completing Ph.D. degree coursework for the “Intelligent Systems” track.

2020

  • August - Started career as a Ph.D. student in Computer Science at the University of Texas at Dallas.
  • July - Graduated with M.S. in Artificial Intelligence from the University of Georgia.
  • July - Successfully defended my Master’s thesis titled “An Exploration of Machine Learning Based Day-Ahead Solar Irradiance Forecasting Methodologies.
  • May - Successfully passed Comprehensive Oral Examination, inching a step closer towards completing my Master’s degree.

2019

  • December - Presented poster titled “Sentiment Analysis based Language Model Evaluation” at The Linguistics Final Project Poster Conference
  • October - Presented poster titled “Solar Irradiance Prediction using Distributed Machine Learning Techniques” at UGA Computer Science Research Day

2018

  • August - Started as a Graduate Research Assistant at the Institute for Artificial Intelligence, at the University of Georgia.
  • August - Began Masters’ degree in Artificial Intelligence at the University of Georgia.
  • May - Graduated with B.Tech in Computer Science from Indian Institute of Information Technology (IIIT), Vadodara.
  • January - Started semester as an Undergraduate Research Assistant at the Speech Research Lab at IIIT, Hyderabad.