Dhruv Kumar

Faculty @ IIIT Delhi • Post-Doc from Microsoft Research • PhD from UMN Twin Cities

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A-506, R & D Block

IIIT Delhi

New Delhi-110019

I am currently an assistant professor at IIIT, Delhi. In the Past, I was a Post-Doc Researcher at Microsoft Research. Prior to Post-Doc, I completed my PhD under Abhishek Chandra in the Computer Science Department at the University of Minnesota, Twin Cities, USA. During my PhD, I also collaborated with Ramesh Sitaraman at University of Massachusetts, Amherst, USA. Long time back, I graduated in 2014 with a Bachelors in Computer Science from BITS, Pilani.

I consider myself a scientist before a computer scientist. Hence, I am interested in solving real life problems even if they are simple and/or not strictly related to computer science. I am particularly interested in solving problems which are specific to developing countries such as India.

As part of computer science research, I am primarily interested in Human-Computer Interaction, Computing Education and ICT4D. Sometimes, I also work on Distributed Systems, Data Analytics and Machine Learning.

News

Apr 19, 2024 Our paper titled “From Cash to Cashless: UPI’s Impact on Spending Behavior among Indian Users” accepted in ACM CHI 2024 - Late Breaking Work Track.
Apr 9, 2024 Preprint released for our paper titled “Analyzing LLM Usage in an Advanced Computing Class in India”
Mar 1, 2024 Received a research grant on “Predicting Breast Cancer subtype using MRI images” from iHub Anubhuti IIITD Foundation. This is a joint research project with MAX Healthcare, New Delhi. [Grant Amount: INR 99,42,000]
Feb 6, 2024 Preprint released for our paper titled “Which LLM should I use?: Evaluating LLMs for tasks performed by Undergraduate Computer Science Students in India”
Feb 1, 2024 Invited to attend Google Research@ Event, 2024 on Feb 1st in Bengaluru.
Jan 30, 2024 Preprint released for our paper titled “Comuniqa : Exploring Large Language Models for improving speaking skills”
Jan 30, 2024 Preprint released for our paper titled “OpineBot: Class Feedback Reimagined Using a Conversational LLM”
Jan 30, 2024 Preprint released for our paper titled “AI as a Medical Ally: Evaluating ChatGPT’s Usage and Impact in Indian Healthcare”
Jan 15, 2024 Our paper titled “Unit Test Generation using Generative AI : A Comparative Performance Analysis of Autogeneration Tools” has been accepted to LLM4Code@ICSE 2024
Dec 18, 2023 Preprint released for our paper titled “A Comparative Analysis of Large Language Models for Code Documentation Generation”
Dec 13, 2023 Preprint released for our paper titled “Can ChatGPT Play the Role of a Teaching Assistant in an Introductory Programming Course?”
Nov 14, 2023 Received the Google Cloud Education Grant for teaching Distributed Systems at IIIT Delhi. [Grant Amount: INR 20,50,000]
Nov 13, 2023 Our paper on examining ChatGPT’s usage among undergraduate students in computer science accepted in ACE 2024.
Oct 4, 2023 Five UG students selected for CHANAKYA UG Fellowship 2023.
Oct 3, 2023 Our paper on evaluating ChatGPT on undergraduate computer science questions accepted in SIGCSE TS 2024.
Sep 29, 2023 Four UG students selected for Skilling@ARTPARK 2023 Fellowship.
Sep 20, 2023 Preprint released for our paper titled “Student and Instructor Perspectives on the influence of LLMs on Undergraduate Engineering Education”.
Sep 12, 2023 Received the Teaching Excellence Award for AY 2022-23.
Sep 11, 2023 Seven UG students awarded IIITD-SURF 2023 research Award.
Sep 4, 2023 Received the prestigious SERB-SRG Grant for a project on intelligent CPU-GPU scheduling for machine learning training. [Grant Amount: INR 22,00,000]

Selected Publications

  1. arXiv
    Analyzing LLM Usage in an Advanced Computing Class in India
    Chaitanya Arora, Utkarsh Venaik, Pavit Singh, Sahil Goyal, and 4 more authors
    2024
    HTML
  2. arXiv
    OpineBot: Class Feedback Reimagined Using a Conversational LLM
    Henansh Tanwar, Kunal Shrivastva, Rahul Singh, and Dhruv Kumar
    2024
    HTML
  3. arXiv
    "Which LLM should I use?": Evaluating LLMs for tasks performed by Undergraduate Computer Science Students in India
    Vibhor Agarwal, Nakul Thureja, Madhav Krishan Garg, Sahiti Dharmavaram, and 2 more authors
    2024
    HTML
  4. arXiv
    Comuniqa : Exploring Large Language Models for improving speaking skills
    Manas Mhasakar, Shikhar Sharma, Apurv Mehra, Utkarsh Venaik, and 3 more authors
    2024
    HTML
  5. arXiv
    AI as a Medical Ally: Evaluating ChatGPT’s Usage and Impact in Indian Healthcare
    Aryaman Raina, Prateek Mishra, Harshit goyal, and Dhruv Kumar
    2024
    HTML
  6. arXiv
    From Cash to Cashless: UPI’s Impact on Spending Behavior among Indian Users
    Harshal Dev, Raj Gupta, and Dhruv Kumar
    2024
    HTML
  7. LLM4Code-ICSE
    Unit Test Generation using Generative AI : A Comparative Performance Analysis of Autogeneration Tools
    Shreya Bhatia, Tarushi Gandhi, Dhruv Kumar, and Pankaj Jalote
    2024
    HTML
  8. ACE
    "It’s not like Jarvis, but it’s pretty close!" – Examining ChatGPT’s Usage among Undergraduate Students in Computer Science
    Ishika Joshi*, Ritvik Budhiraja*, Harshal D Akolekar, Jagat Sesh Challa, and 1 more author
    2024
    HTML
  9. SIGCSE TS
    ChatGPT in the Classroom: An Analysis of Its Strengths and Weaknesses for Solving Undergraduate Computer Science Questions
    Ishika Joshi*, Ritvik Budhiraja*, Harshal Dev, Jahnvi Kadia, and 4 more authors
    2024
    Conference Listed on csrankings.org HTML
  10. arXiv
    A Comparative Analysis of Large Language Models for Code Documentation Generation
    Shubhang Shekhar Dvivedi, Vyshnav Vijay, Sai Leela Rahul Pujari, Shoumik Lodh, and 1 more author
    2023
    HTML
  11. arXiv
    Can ChatGPT Play the Role of a Teaching Assistant in an Introductory Programming Course?
    Anishka, Atharva Mehta, Nipun Gupta, Dhruv Kumar, and 1 more author
    2023
    HTML
  12. arXiv
    "With Great Power Comes Great Responsibility!": Student and Instructor Perspectives on the influence of LLMs on Undergraduate Engineering Education
    Ishika Joshi*, Ritvik Budhiraja*, Pranav Deepak Tanna, Lovenya Jain, and 6 more authors
    2023
    HTML
  13. CCGrid
    AggFirstJoin: Optimizing Geo-Distributed Joins using Aggregation-Based Transformations
    Dhruv Kumar, Sohaib Ahmad, Abhishek Chandra, and Ramesh K. Sitaraman
    In 23RD IEEE/ACM INTERNATIONAL SYMPOSIUM ON Cluster, Cloud and Internet Computing, Bengaluru, India, May 1-4, 2023, 2023
    Best Paper Award HTML
  14. IPDPS
    HACCS: Heterogeneity-Aware Clustered Client Selection for Accelerated Federated Learning
    Joel Wolfrath, Nikhil Sreekumar, Dhruv Kumar, Yuanli Wang, and 1 more author
    In 2022 IEEE International Parallel and Distributed Processing Symposium, IPDPS 2022, Lyon, France, May 30 - June 3, 2022, 2022
    HTML
  15. SEC
    AggNet: Cost-Aware Aggregation Networks for Geo-distributed Streaming Analytics
    Dhruv Kumar, Sohaib Ahmad, Abhishek Chandra, and Ramesh K. Sitaraman
    In 6th IEEE/ACM Symposium on Edge Computing, SEC 2021, San Jose, CA, USA, December 14-17, 2021, 2021
    HTML
  16. SIGMETRICS
    A TTL-based Approach for Data Aggregation in Geo-distributed Streaming Analytics
    Dhruv Kumar, Jian Li, Abhishek Chandra, and Ramesh K. Sitaraman
    SIGMETRICS, 2019
    Conference Listed on csrankings.org HTML