Performance Benchmarking and Optimizing Hyperledger Fabric Blockchain Platform. - Parth Thakkar; Senthil Nathan; Balaji Viswanathan (MASCOTS, 2018)

Scaling Hyperledger Fabric Using Pipelined Execution and Sparse Peers. - Parth Thakkar; Senthil Nathan (CoRR, 2020)

Scaling Blockchains Using Pipelined Execution and Sparse Peers. - Parth Thakkar; Senthilnathan Natarajan (SoCC, 2021)

AutoSens: inferring latency sensitivity of user activity through natural experiments. - Parth Thakkar; Rohan Saxena; Venkata N. Padmanabhan (Internet Measurement Conference, 2021)

Optimizing Network Provisioning through Cooperation. - Harsha Sharma; Parth Thakkar; Sagar Bharadwaj; Ranjita Bhagwan; Venkata N. Padmanabhan; Yogesh Bansal; P. Vijay Kumar; Kathleen Voelbel (NSDI, 2022)

Probing Numeracy and Logic of Language Models of Code. - Razan Baltaji; Parth Thakkar (InteNSE@ICSE, 2023)

Configuration Validation with Large Language Models. - Xinyu Lian; Yinfang Chen; Runxiang Cheng; Jie Huang 009; Parth Thakkar; Tianyin Xu (CoRR, 2023)

Multi-line AI-Assisted Code Authoring. - Omer Dunay; Daniel Cheng; Adam Tait; Parth Thakkar; Peter C. Rigby; Andy Chiu; Imad Ahmad; Arun Ganesan; Chandra Shekhar Maddila; Vijayaraghavan Murali; Ali Tayyebi; Nachiappan Nagappan (SIGSOFT FSE Companion, 2024)

AI-Assisted SQL Authoring at Industry Scale. - Chandra Shekhar Maddila; Negar Ghorbani; Kosay Jabre; Vijayaraghavan Murali; Edwin Kim; Parth Thakkar; Nikolay Pavlovich Laptev; Olivia Harman; Diana Hsu; Rui Abreu 001; Peter C. Rigby (CoRR, 2024)

Finding Needles in Images: Can Multi-modal LLMs Locate Fine Details? - Parth Thakkar; Ankush Agarwal; Prasad Kasu; Pulkit Bansal; Chaitanya Devaguptapu (ACL (1), 2025)

Large Language Models as Configuration Validators. - Xinyu Lian; Yinfang Chen; Runxiang Cheng; Jie Huang 009; Parth Thakkar; Minjia Zhang; Tianyin Xu (ICSE, 2025)

AI-Assisted Fixes to Code Review Comments at Scale. - Chandra Shekhar Maddila; Negar Ghorbani; James Saindon; Parth Thakkar; Vijayaraghavan Murali; Rui Abreu 001; Jingyue Shen; Brian Zhou; Nachiappan Nagappan; Peter C. Rigby (CoRR, 2025)

Agentic Program Repair from Test Failures at Scale: A Neuro-symbolic approach with static analysis and test execution feedback. - Chandra Shekhar Maddila; Adam Tait; Claire Chang; Daniel Cheng; Nauman Ahmad; Vijayaraghavan Murali; Marshall Roch; Arnaud Avondet; Aaron Meltzer; Victor Montalvao; Michael Hopko; Chris Waterson; et al. (CoRR, 2025)