Parallelizing OPTICS for multicore systems. - Poonam Goyal; Sonal Kumari; Dhruv Kumar 001; Sundar Balasubramaniam; Navneet Goyal (COMPUTE, 2014)

Parallelizing OPTICS for Commodity Clusters. - Poonam Goyal; Sonal Kumari; Dhruv Kumar 001; Sundar Balasubramaniam; Navneet Goyal; Saiyedul Islam; Jagat Sesh Challa (ICDCN, 2015)

A Fast, Scalable SLINK Algorithm for Commodity Cluster Computing Exploiting Spatial Locality. - Poonam Goyal; Sonal Kumari; Sumit Sharma 001; Dhruv Kumar 001; Vivek Kishore; Sundar Balasubramaniam; Navneet Goyal (HPCC/SmartCity/DSS, 2016)

Exact, Fast and Scalable Parallel DBSCAN for Commodity Platforms. - Sonal Kumari; Poonam Goyal; Ankit Sood; Dhruv Kumar 001; Sundar Balasubramaniam; Navneet Goyal (ICDCN, 2017)

An efficient method for batch updates in OPTICS cluster ordering. - Dhruv Kumar 001; Poonam Goyal; Navneet Goyal (Int. J. Data Anal. Tech. Strateg., 2018)

DeCaf: Iterative Collaborative Processing over the Edge. - Dhruv Kumar 001; Aravind Alagiri Ramkumar; Rohit Sindhu; Abhishek Chandra (HotEdge, 2019)

A TTL-based Approach for Data Aggregation in Geo-distributed Streaming Analytics. - Dhruv Kumar 001; Jian Li 008; Abhishek Chandra; Ramesh K. Sitaraman (Proc. ACM Meas. Anal. Comput. Syst., 2019)

Poster: Exploiting Data Heterogeneity for Performance and Reliability in Federated Learning. - Yuanli Wang; Dhruv Kumar 001; Abhishek Chandra (SEC, 2020)

Grid-R-tree: a data structure for efficient neighborhood and nearest neighbor queries in data mining. - Poonam Goyal; Jagat Sesh Challa; Dhruv Kumar 001; Anuvind Bhat; Sundar Balasubramaniam; Navneet Goyal (Int. J. Data Sci. Anal., 2020)

Accelerated Training via Device Similarity in Federated Learning. - Yuanli Wang; Joel Wolfrath; Nikhil Sreekumar; Dhruv Kumar 001; Abhishek Chandra (EdgeSys@EuroSys, 2021)

AggNet: Cost-Aware Aggregation Networks for Geo-distributed Streaming Analytics. - Dhruv Kumar 001; Sohaib Ahmad; Abhishek Chandra; Ramesh K. Sitaraman (SEC, 2021)

Towards WAN-aware join sampling over geo-distributed data. - Dhruv Kumar 001; Joel Wolfrath; Abhishek Chandra; Ramesh K. Sitaraman (EdgeSys@EuroSys, 2022)

HACCS: Heterogeneity-Aware Clustered Client Selection for Accelerated Federated Learning. - Joel Wolfrath; Nikhil Sreekumar; Dhruv Kumar 001; Yuanli Wang; Abhishek Chandra (IPDPS, 2022)

AggFirstJoin: Optimizing Geo-Distributed Joins using Aggregation-Based Transformations. - Dhruv Kumar 001; Sohaib Ahmad; Abhishek Chandra; Ramesh K. Sitaraman (CCGrid, 2023)

ChatGPT - a Blessing or a Curse for Undergraduate Computer Science Students and Instructors? - Ishika Joshi; Ritvik Budhiraja; Harshal Dev; Jahnvi Kadia; M. Osama Ataullah; Sayan Mitra; Dhruv Kumar 001; Harshal D. Akolekar (CoRR, 2023)

"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; Mihika Deshpande; Arjun Srivastava; Srinivas Rallapalli; Harshal D. Akolekar; Jagat Sesh Challa; Dhruv Kumar 001 (CoRR, 2023)

"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; Dhruv Kumar 001 (CoRR, 2023)

Can ChatGPT Play the Role of a Teaching Assistant in an Introductory Programming Course? - Anishka; Atharva Mehta; Nipun Gupta; Dhruv Kumar 001; Pankaj Jalote (CoRR, 2023)

" "It's not like Jarvis✱. - Ritvik Budhiraja; Ishika Joshi; Jagat Sesh Challa; Harshal D. Akolekar; Dhruv Kumar 001 (ACE, 2024)

A Comparative Analysis of Large Language Models for Code Documentation Generation. - Shubhang Shekhar Dvivedi; Vyshnav Vijay; Sai Leela Rahul Pujari; Shoumik Lodh; Dhruv Kumar 001 (AIware, 2024)

From Cash to Cashless: UPI's Impact on Spending Behavior among Indian Users. - Harshal Dev; Raj Gupta; Dhruv Kumar 001 (CHI Extended Abstracts, 2024)

Comuniqa: Exploring Large Language Models For Improving English Speaking Skills. - Shikhar Sharma; Manas Mhasakar; Apurv Mehra; Utkarsh Venaik; Ujjwal Singhal; Dhruv Kumar 001; Kashish Mittal (COMPASS, 2024)

Unit Test Generation using Generative AI : A Comparative Performance Analysis of Autogeneration Tools. - Shreya Bhatia; Tarushi Gandhi; Dhruv Kumar 001; Pankaj Jalote (LLM4CODE@ICSE, 2024)

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; Mohammad Osama Ataullah; Sayan Mitra; Harshal D. Akolekar; Dhruv Kumar 001 (SIGCSE (1), 2024)

OpineBot: Class Feedback Reimagined Using a Conversational LLM. - Henansh Tanwar; Kunal Shrivastva; Rahul Singh; Dhruv Kumar 001 (CoRR, 2024)

Comuniqa : Exploring Large Language Models for improving speaking skills. - Manas Mhasakar; Shikhar Sharma; Apurv Mehra; Utkarsh Venaik; Ujjwal Singhal; Dhruv Kumar 001; Kashish Mittal (CoRR, 2024)

AI as a Medical Ally: Evaluating ChatGPT's Usage and Impact in Indian Healthcare. - Aryaman Raina; Prateek Mishra; Harshit Goyal; Dhruv Kumar 001 (CoRR, 2024)

"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; Meghna; Dhruv Kumar 001 (CoRR, 2024)

Analyzing LLM Usage in an Advanced Computing Class in India. - Chaitanya Arora; Utkarsh Venaik; Pavit Singh; Sahil Goyal; Jatin Tyagi; Shyama Goel; Ujjwal Singhal; Dhruv Kumar 001 (CoRR, 2024)

TAMIGO: Empowering Teaching Assistants using LLM-assisted viva and code assessment in an Advanced Computing Class. - Anishka; Diksha Sethi; Nipun Gupta; Shikhar Sharma; Srishti Jain; Ujjwal Singhal; Dhruv Kumar 001 (CoRR, 2024)

System Test Case Design from Requirements Specifications: Insights and Challenges of Using ChatGPT. - Shreya Bhatia; Tarushi Gandhi; Dhruv Kumar 001; Pankaj Jalote (CoRR, 2024)

Rubric Is All You Need: Improving LLM-Based Code Evaluation With Question-Specific Rubrics. - Aditya Pathak; Rachit Gandhi; Vaibhav Uttam; Arnav Ramamoorthy; Pratyush Ghosh; Aaryan Raj Jindal; Shreyash Verma; Aditya Mittal; Aashna Ased; Chirag Khatri; Yashwanth Nakka; Devansh; et al. (ICER (1), 2025)

Transformers for Vision: A Survey on Innovative Methods for Computer Vision. - Balamurugan Palanisamy; Vikas Hassija; Arpita Chatterjee; Arpita Mandal; Debanshi Chakraborty; Amit Pandey; G. Sai Sesha Chalapathi; Dhruv Kumar 001 (IEEE Access, 2025)

DebateBench: A Challenging Long Context Reasoning Benchmark For Large Language Models. - Utkarsh Tiwari; Aryan Seth; Adi Mukherjee; Kaavya Mer; Kavish; Dhruv Kumar 001 (CoRR, 2025)

ReviewEval: An Evaluation Framework for AI-Generated Reviews. - Chhavi Kirtani; Madhav Krishan Garg; Tejash Prasad; Tanmay Singhal; Murari Mandal; Dhruv Kumar 001 (CoRR, 2025)

Sakshm AI: Advancing AI-Assisted Coding Education for Engineering Students in India Through Socratic Tutoring and Comprehensive Feedback. - Raj Gupta; Harshit Goyal; Dhruv Kumar 001; Apurv Mehra; Sanchit Sharma; Kashish Mittal; Jagat Sesh Challa (CoRR, 2025)

Rubric Is All You Need: Enhancing LLM-based Code Evaluation With Question-Specific Rubrics. - Aditya Pathak; Rachit Gandhi; Vaibhav Uttam; Devansh; Yashwanth Nakka; Aaryan Raj Jindal; Pratyush Ghosh; Arnav Ramamoorthy; Shreyash Verma; Aditya Mittal; Aashna Ased; Chirag Khatri; et al. (CoRR, 2025)

Roamify: Designing and Evaluating an LLM Based Google Chrome Extension for Personalised Itinerary Planning. - Vikranth Udandarao; Noel Abraham Tiju; Muthuraj Vairamuthu; Harsh Mistry; Dhruv Kumar 001 (CoRR, 2025)

The Impact of Large Language Models on K-12 Education in Rural India: A Thematic Analysis of Student Volunteer's Perspectives. - Harshil Goyal; Garima Garg; Prisha Mordia; Veena Ramachandran; Dhruv Kumar 001; Jagat Sesh Challa (CoRR, 2025)

Investigating Pedagogical Teacher and Student LLM Agents: Genetic Adaptation Meets Retrieval Augmented Generation Across Learning Style. - Debdeep Sanyal; Agniva Maiti; Umakanta Maharana; Dhruv Kumar 001; Ankur Arjun Mali; C. Lee Giles; Murari Mandal (CoRR, 2025)

SAC: A Framework for Measuring and Inducing Personality Traits in LLMs with Dynamic Intensity Control. - Adithya Chittem; Aishna Shrivastava; Sai Tarun Pendela; Jagat Sesh Challa; Dhruv Kumar 001 (CoRR, 2025)