Dhruv Kumar
• Assistant Professor at BITS Pilani • On Leave From IIIT Delhi
• Post-Doc from Microsoft Research • PhD from UMN Twin Cities
6121-N, NAB
BITS Pilani
Pilani, Rajasthan - 333031
I am currently an assistant professor at BITS Pilani. I am currently on leave from IIIT Delhi where I have been since 2022. I continue to collaborate closely with students and faculty members at IIIT Delhi.
Before joining IIIT Delhi, 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
Selected Publications
- arXiv 2024TAMIGO: Empowering Teaching Assistants using LLM-assisted viva and code assessment in an Advanced Computing Class2024
- arXiv 2024
- arXiv 2024
- arXiv 2024"Which LLM should I use?": Evaluating LLMs for tasks performed by Undergraduate Computer Science Students in India2024
- COMPASS 2024
- arXiv 2024
- CHI LBW 2024From Cash to Cashless: UPI’s Impact on Spending Behavior among Indian Users2024
- LLM4Code 2024Unit Test Generation using Generative AI : A Comparative Performance Analysis of Autogeneration Tools2024
- ACE 2024"It’s not like Jarvis, but it’s pretty close!" – Examining ChatGPT’s Usage among Undergraduate Students in Computer Science2024
- SIGCSE TS 2024ChatGPT in the Classroom: An Analysis of Its Strengths and Weaknesses for Solving Undergraduate Computer Science Questions2024
- AIware 2024
- arXiv 2024
- arXiv 2023"With Great Power Comes Great Responsibility!": Student and Instructor Perspectives on the influence of LLMs on Undergraduate Engineering Education2023
- CCGrid 2023AggFirstJoin: Optimizing Geo-Distributed Joins using Aggregation-Based TransformationsIn 23RD IEEE/ACM INTERNATIONAL SYMPOSIUM ON Cluster, Cloud and Internet Computing, Bengaluru, India, May 1-4, 2023, 2023
- IPDPS 2022HACCS: Heterogeneity-Aware Clustered Client Selection for Accelerated Federated LearningIn 2022 IEEE International Parallel and Distributed Processing Symposium, IPDPS 2022, Lyon, France, May 30 - June 3, 2022, 2022
- SEC 2021AggNet: Cost-Aware Aggregation Networks for Geo-distributed Streaming AnalyticsIn 6th IEEE/ACM Symposium on Edge Computing, SEC 2021, San Jose, CA, USA, December 14-17, 2021, 2021
- SIGMETRICS 2019A TTL-based Approach for Data Aggregation in Geo-distributed Streaming AnalyticsSIGMETRICS, 2019