PhantomGrad

Research

Publications, funded projects, research themes, and academic collaborators.

Active Themes

What We're Working On

AI Agents & LLMs

Evaluation, benchmarking, and applications — negotiations, planning, reasoning, and real-world deployments.

AI for Education

Intelligent tutoring systems, automated grading, LLM-assisted teaching, and studying AI adoption in classrooms.

AI for Software Engineering

Code generation, test synthesis, type inference, loop invariant generation, and formal verification with LLMs.

Reinforcement Learning & LLM Training

Policy optimization, LoRA fine-tuning, evolutionary meta-solvers, and hybrid supervised-RL frameworks.

Mechanistic Interpretability

Understanding polysemanticity, circuits, and internal representations within transformer-based models.

Multi-Modal Foundation Models

Vision transformers, time-series foundation models, and tabular model interpretability.

AI for Science & Environment

Machine learning for hydrological modeling, wetland assessment, and climate-driven river analysis.

Distributed Systems & Edge Computing

Geo-distributed analytics, federated learning, WAN-aware query optimization, and edge intelligence.

Data Mining & Parallel Computing

Scalable clustering algorithms (DBSCAN, OPTICS, SLINK) on commodity clusters and multicore systems.

Seeking Collaborators

Areas we are actively exploring and looking for research partners in:

AI Safety & Jailbreaking

Adversarial robustness, prompt injection, and safety alignment of LLMs.

Multi-lingual & Cultural AI

LLM performance and bias across languages, scripts, and cultural contexts.

Games & Sports AI

Applying LLMs and RL to game-playing, strategy, and sports analytics.

Bias in LLMs

Measuring and mitigating cultural, linguistic, and length biases in language models.

Publications

Papers  

Domain-Partitioned Hybrid RAG for Legal Reasoning: Toward Modular and Explainable Legal AI for India
Rakshita Goel, S. Pranav Kumar, Anmol Agrawal, Divyan Poddar, Pratik Narang, and Dhruv Kumar
arXiv preprint · 2025
Pre-print
Trust Regions Sell, But Who's Buying? Overlap Geometry as an Alternative Trust Region for Policy Optimization
Gaurish Trivedi, Alakh Sharma, Kartikey Singh Bhandari, Yash Sinha, Pratik Narang, Dhruv Kumar, and Jagat Sesh Challa
arXiv preprint · 2026
Pre-print
The Compliance Paradox: Semantic-Instruction Decoupling in Automated Academic Code Evaluation
Devanshu Sahoo, Manish Prasad, Vasudev Majhi, Arjun Neekhra, Yash Sinha, Murari Mandal, Vinay Chamola, and Dhruv Kumar
arXiv preprint · 2026
Pre-print
A Hybrid Supervised-LLM Pipeline for Actionable Suggestion Mining in Unstructured Customer Reviews
Aakash Trivedi, Aniket Upadhyay, Pratik Narang, Dhruv Kumar, and Praveen Kumar
arXiv preprint · 2026
Pre-print
PhysicsSolutionAgent: Towards Multimodal Explanations for Numerical Physics Problem Solving
Aditya Thole, Anmol Agrawal, Arnav Ramamoorthy, and Dhruv Kumar
arXiv preprint · 2026
Pre-print
Actionable Advice from Reviews via Mixture of LoRA Experts: A Two-LLM Pipeline for Issue Extraction and Business Recommendations
Kartikey Singh Bhandari, Manav Ganesh, Yashwant Viswanathan, Archit Agrawal, Dhruv Kumar, and Pratik Narang
arXiv preprint · 2026
Pre-print
A Multi-Agent System for Generating Actionable Business Advice
Kartikey Singh Bhandari, Tanish Jain, Archit Agrawal, Dhruv Kumar, Praveen Kumar, and Pratik Narang
arXiv preprint · 2026
Pre-print
Evaluating Novelty in AI-Generated Research Plans Using Multi-Workflow LLM Pipelines
Devesh Saraogi, Rohit Singhee, and Dhruv Kumar
arXiv preprint · 2026
Pre-print
TabPFN Through The Looking Glass: An Interpretability Study of TabPFN and Its Internal Representations
Aviral Gupta, Armaan Sethi, and Dhruv Kumar
arXiv preprint · 2026
Pre-print
The Language of Bargaining: Linguistic Effects in LLM Negotiations
Stuti Sinha, Himanshu Kumar, Aryan Raju Mandapati, Rakshit Sakhuja, and Dhruv Kumar
arXiv preprint · 2026
Pre-print
Roamify: Designing and Evaluating an LLM-Based Google Chrome Extension for Personalised Itinerary Planning
Vikranth Udandarao, Noel Abraham Tiju, Muthuraj Vairamuthu, Harsh Mistry, and Dhruv Kumar
The Web Conference (WWW) 2026
Sakshm AI: Advancing AI-Assisted Coding Education for Engineering Students in India Through Socratic Tutoring and Comprehensive Feedback
Raj Gupta, Harshita Goyal, Dhruv Kumar, Apurv Mehra, Sanchit Sharma, Kashish Mittal, and Jagat Sesh Challa
ACM Journal on Computing and Sustainable Societies (JCSS) · 2026
Generative Evolutionary Meta-Solver (GEMS): Scalable Surrogate-Free Multi-Agent Reinforcement Learning
Alakh Sharma, Gaurish Trivedi, Kartikey Singh Bhandari, Yash Sinha, Dhruv Kumar, Pratik Narang, and Jagat Sesh Challa
Transactions on Machine Learning Research (TMLR) 2026
DebateBench: A Challenging Long Context Reasoning Benchmark for Large Language Models
Utkarsh Tiwari, Aryan Seth, Adi Mukherjee, Kaavya Mer, Kavish, and Dhruv Kumar
NAACL Student Research Workshop (SRW) 2025
ReviewEval: An Evaluation Framework for AI-Generated Reviews
Madhav Krishan Garg, Tejash Prasad, Tanmay Singhal, Chhavi Kirtani, Murari Mandal, and Dhruv Kumar
Findings of the Association for Computational Linguistics: EMNLP 2025
Investigating Pedagogical Teacher and Student LLM Agents: Genetic Adaptation Meets Retrieval-Augmented Generation Across Learning Styles
Debdeep Sanyal, Agniva Maiti, Umakanta Maharana, Dhruv Kumar, Ankur Mali, C. Lee Giles, and Murari Mandal
Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing (EMNLP 2025)
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, et al., Jagat Sesh Challa, and Dhruv Kumar
ACM International Computing Education Research Conference (ICER) 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, and Dhruv Kumar
International Conference on Agents and Artificial Intelligence (ICAART) 2025
Combining Reasoning Optimised LLMs and SMT Solvers for Automated Loop Invariant Synthesis
Varun Bharti, Shashwat Jha, Dhruv Kumar, and Pankaj Jalote
IEEE/ACM International Conference on AI-powered Software (AIWare) 2025
★ Best Paper
Analyzing LLM Usage in an Advanced Computing Class in India
Utkarsh Arora, Anupam Garg, Aryan Gupta, Samyak Jain, Ronit Mehta, Rupin Oberoi, Prachi, Aryaman Raina, Manav Saini, Sachin Sharma, et al., and Dhruv Kumar
Australasian Computing Education Conference (ACE) 2025
The Role of Generative AI Tools in Shaping Mechanical Engineering Education from an Undergraduate Perspective
Harshal Akolekar, Piyush Jhamnani, Vikash Kumar, Vinay Tailor, Aditya Pote, Ankit Meena, Kamal Kumar, Jagat Sesh Challa, and Dhruv Kumar
Scientific Reports 15 · 2025
Thematic Insights into the Impact of Large Language Models on K-12 Education in Rural India from Student Volunteers' Perspectives
Harshita Goyal, Garima Garg, Prisha Mordia, Veena Ramachandran, Dhruv Kumar, and Jagat Sesh Challa
Scientific Reports · 2025
Transformers for Vision: A Survey on Innovative Methods for Computer Vision
Vikas Hassija, Balamurugan Palanisamy, Arpita Chatterjee, Arpita Mandal, Debanshi Chakraborty, Amit Pandey, G. Sai Sesha Chalapathi, and Dhruv Kumar
IEEE Access 13 · 2025
Beyond Single Bugs: Benchmarking Large Language Models for Multi-Vulnerability Detection
Chinmay Pushkar, Sanchit Kabra, Dhruv Kumar, and Jagat Sesh Challa
arXiv preprint · 2025
Pre-print
CricBench: A Multilingual Benchmark for Evaluating LLMs in Cricket Analytics
Vaibhav Devraj, Dhruv Kumar, Jagat Sesh Challa, Parth Agarwal, Navya Kommuri, Trizal Garg, Prisha Singhal, and Dhruv Shah
arXiv preprint · 2025
Pre-print
Toward Intelligent Scene Augmentation for Context-Aware Object Placement and Sponsor-Logo Integration
Unnati Saraswat, Tarun Rao, Namah Gupta, Shweta Swami, Shikhar Sharma, Prateek Narang, and Dhruv Kumar
arXiv preprint · 2025
Pre-print
Understanding Virality: A Rubric-Based Vision-Language Model Framework for Short-Form Edutainment Evaluation
Arnav Gupta, Gurekas Singh Sahney, Hardik Rathi, Abhishek Chandwani, Ishaan Gupta, Pratik Narang, and Dhruv Kumar
arXiv preprint · 2025
Pre-print
Efficient Jailbreak Mitigation Using Semantic Linear Classification in a Multi-Staged Pipeline
Akshaj Prashanth Rao, Advait Singh, Saumya Kumaar Saksena, and Dhruv Kumar
arXiv preprint · 2025
Pre-print
Investigating Spatial Attention Bias in Vision-Language Models
Aryan Chaudhary, Sanchit Goyal, Pratik Narang, and Dhruv Kumar
arXiv preprint · 2025
Pre-print
Large Language Models as Pokémon Battle Agents: Strategic Play and Content Generation
Daksh Jain, Aarya Jain, Ashutosh Desai, Avyakt Verma, Ishan Bhanuka, Pratik Narang, and Dhruv Kumar
arXiv preprint · 2025
Pre-print
Lights, Camera, Consistency: A Multistage Pipeline for Character-Stable AI Video Stories
Chayan Jain, Rishant Sharma, Archit Garg, Ishan Bhanuka, Pratik Narang, and Dhruv Kumar
arXiv preprint · 2025
Pre-print
From Facts to Conclusions: Integrating Deductive Reasoning in Retrieval-Augmented LLMs
Shubham Mishra, Samyek Jain, Gorang Mehrishi, Shiv Tiwari, Harsh Sharma, Pratik Narang, and Dhruv Kumar
arXiv preprint · 2025
Pre-print
Bridging the Reality Gap: Efficient Adaptation of ASR Systems for Challenging Low-Resource Domains
Darshil Chauhan, Adityasinh Solanki, Vansh Patel, Kanav Kapoor, Ritvik Jain, Aditya Bansal, Dhruv Kumar, and Prateek Narang
arXiv preprint · 2025
Pre-print
Evaluating LLMs for Zeolite Synthesis Event Extraction (ZSEE): A Systematic Analysis of Prompting Strategies
Charan Prakash Rathore, Saumi Ray, and Dhruv Kumar
arXiv preprint · 2025
Pre-print
neuralFOMO: Can LLMs Handle Being Second Best? Measuring Envy-Like Preferences in Multi-Agent Settings
Arnav Ramamoorthy, Shrey Dhorajiya, Ojas Pungalia, Rashi Upadhyay, Abhishek Mishra, Abhiram H., Tejasvi Alladi, Sujan Yenuganti, and Dhruv Kumar
arXiv preprint · 2025
Pre-print
When Reject Turns into Accept: Quantifying the Vulnerability of LLM-Based Scientific Reviewers to Indirect Prompt Injection
Devanshu Sahoo, Manish Prasad, Vasudev Majhi, Jahnvi Singh, Vinay Chamola, Yash Sinha, Murari Mandal, and Dhruv Kumar
arXiv preprint · 2025
Pre-print
How to Trick Your AI TA: A Systematic Study of Academic Jailbreaking in LLM Code Evaluation
Devanshu Sahoo, Vasudev Majhi, Arjun Neekhra, Yash Sinha, Murari Mandal, and Dhruv Kumar
arXiv preprint · 2025
Pre-print
MarketMaven: An Agent-Based AI for Automated Startup Analysis and Market Intelligence
Madhav Krishna, Dhruv Gupta, Kotra Keshav, Hritav Singh, Akash Bonagiri, Pratik Narang, and Dhruv Kumar
SSRN preprint · 2025
Pre-print
Magistrate: A Repository-Context Aware Multi-Agent Framework for Automated Code Review
Sasank Tumpati, Devansh Agarwal, and Dhruv Kumar
SSRN preprint · 2025
Pre-print
Confidence is Not Competence: Evaluating Calibration in LLMs
Debdeep Sanyal, Manya Pandey, Dhruv Kumar, Saurabh Deshpande, and Murari Mandal
arXiv preprint · 2025
Pre-print
Policy Optimization Prefers The Path of Least Resistance
Debdeep Sanyal, Aakash Sen Sharma, Dhruv Kumar, Saurabh Deshpande, and Murari Mandal
arXiv preprint · 2025
Pre-print
Talking with Oompa Loompas: A Novel Framework for Evaluating Linguistic Acquisition of LLM Agents
Sankalp Tattwadarshi Swain, Anshika Krishnatray, Dhruv Kumar, and Jagat Sesh Challa
arXiv preprint · 2025
Pre-print
time2time: Causal Intervention in Hidden States to Simulate Rare Events in Time Series Foundation Models
Debdeep Sanyal, Aaryan Nagpal, Dhruv Kumar, Murari Mandal, and Saurabh Deshpande
NeurIPS 2025 Workshop on Time Series Foundation Models (BERT4S)
HAEPO: History-Aggregated Exploratory Policy Optimization
Gaurish Trivedi, Alakh Sharma, Kartikey Singh Bhandari, Dhruv Kumar, Pratik Narang, and Jagat Sesh Challa
arXiv preprint · 2025
Pre-print
Disentangling Polysemantic Neurons with a Null-Calibrated Polysemanticity Index and Causal Patch Interventions
Manan Gupta and Dhruv Kumar
arXiv preprint · 2025
Pre-print
Automated Type Annotation in Python Using Large Language Models
Varun Bharti, Shashwat Jha, Dhruv Kumar, and Pankaj Jalote
arXiv preprint · 2025
Pre-print
"It's not like Jarvis, but it's pretty close!" — Examining ChatGPT's Usage among Undergraduate Students in Computer Science
Ritvik Budhiraja, Ishika Joshi, Jagat Sesh Challa, Harshal D. Akolekar, and Dhruv Kumar
Australasian Computing Education Conference (ACE) 2024
A Comparative Analysis of Large Language Models for Code Documentation Generation
Shubhang Shekhar Dvivedi, Vyshnav Vijay, Sai Leela Rahul Pujari, Shoumik Lodh, and Dhruv Kumar
ACM International Conference on AI-Powered Software (AIware) 2024
From Cash to Cashless: UPI's Impact on Spending Behavior among Indian Users
Harshal Dev, Raj Gupta, and Dhruv Kumar
Extended Abstracts of the CHI Conference on Human Factors in Computing Systems (CHI EA) 2024
Comuniqa: Exploring Large Language Models For Improving English Speaking Skills
Shikhar Sharma, Manas Mhasakar, Apurv Mehra, Utkarsh Venaik, Ujjwal Singhal, Dhruv Kumar, and Kashish Mittal
ACM SIGCAS/SIGCHI Conference on Computing and Sustainable Societies (COMPASS) 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, and Dhruv Kumar
ACM Technical Symposium on Computer Science Education (SIGCSE) 2024
Unit Test Generation using Generative AI: A Comparative Performance Analysis of Autogeneration Tools
Shreya Bhatia, Tarushi Gandhi, Dhruv Kumar, and Pankaj Jalote
International Workshop on Large Language Models for Code (LLM4Code @ ICSE) 2024
AI as a Medical Ally: Evaluating ChatGPT's Usage and Impact in Indian Healthcare
Aryaman Raina, Prateek Mishra, Harshit Goyal, and Dhruv Kumar
arXiv preprint · 2024
Pre-print
"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, and Dhruv Kumar
arXiv preprint · 2024
Pre-print
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, and Dhruv Kumar
arXiv preprint · 2024
Pre-print
OpineBot: Class Feedback Reimagined Using a Conversational LLM
Henansh Tanwar, Kunal Shrivastva, Rahul Singh, and Dhruv Kumar
arXiv preprint · 2024
Pre-print
System Test Case Design from Requirements Specifications: Insights and Challenges of Using ChatGPT
Shreya Bhatia, Tarushi Gandhi, Dhruv Kumar, and Pankaj Jalote
arXiv preprint · 2024
Pre-print
AggFirstJoin: Optimizing Geo-Distributed Joins using Aggregation-Based Transformations
Dhruv Kumar, Sohaib Ahmad, Abhishek Chandra, and Ramesh K. Sitaraman
IEEE/ACM International Symposium on Cluster, Cloud and Internet Computing (CCGrid) 2023
★ Best Paper
AggFirstJoin: Optimizing Geo-Distributed Joins using Aggregation-Based Transformations (Workshop)
Dhruv Kumar, Sohaib Ahmad, Abhishek Chandra, and Ramesh K. Sitaraman
CCGrid Workshop (CCGridW) 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, and Dhruv Kumar
arXiv preprint · 2023
Pre-print
Can ChatGPT Play the Role of a Teaching Assistant in an Introductory Programming Course?
Atharva Mehta, Nipun Gupta, Aarav Balachandran, Dhruv Kumar, Pankaj Jalote, et al.
arXiv preprint · 2023
Pre-print
Wetland Functional Assessment and Uncertainty Analysis Using Fuzzy Alpha-Cut–Based Modified Hydrogeomorphic Approach
Ashutosh Sharma, Dhruv Kumar, Srinivas Rallapalli, and Ajit Pratap Singh
Environmental Science & Pollution Research 30 · 2023
HACCS: Heterogeneity-Aware Clustered Client Selection for Accelerated Federated Learning
Joel Wolfrath, Nikhil Sreekumar, Dhruv Kumar, Yuanli Wang, and Abhishek Chandra
IEEE International Parallel & Distributed Processing Symposium (IPDPS) 2022
Towards WAN-Aware Join Sampling over Geo-Distributed Data
Dhruv Kumar, Joel Wolfrath, Abhishek Chandra, and Ramesh K. Sitaraman
International Workshop on Edge Systems, Analytics and Networking (EdgeSys @ EuroSys) 2022
Cloud-Based Neuro-Fuzzy Hydro-Climatic Model for Water Quality Assessment under Uncertainty and Sensitivity
Ananya Jain, Srinivas Rallapalli, and Dhruv Kumar
Environmental Science & Pollution Research 29 · 2022
Simulating Landscape Hydrologic Connectivity in a Precise Manner Using Hydro-Conditioning
Rallapalli Srinivas, Matt Drewitz, Joe Magner, Ajit Pratap Singh, Dhruv Kumar, and Yashwant Bhaskar Katpatal
Advances in Computational Modeling and Simulation, Springer · 2022
AggNet: Cost-Aware Aggregation Networks for Geo-Distributed Streaming Analytics
Dhruv Kumar, Sohaib Ahmad, Abhishek Chandra, and Ramesh K. Sitaraman
ACM/IEEE Symposium on Edge Computing (SEC) 2021
Accelerated Training via Device Similarity in Federated Learning
Yuanli Wang, Joel Wolfrath, Nikhil Sreekumar, Dhruv Kumar, and Abhishek Chandra
International Workshop on Edge Systems, Analytics and Networking (EdgeSys @ EuroSys) 2021
Grid-R-Tree: A Data Structure for Efficient Neighborhood and Nearest Neighbor Queries in Data Mining
Poonam Goyal, Jagat Sesh Challa, Dhruv Kumar, Anuvind Bhat, Sundar Balasubramaniam, and Navneet Goyal
International Journal of Data Science and Analytics 10 · 2020
Exploiting Data Heterogeneity for Performance and Reliability in Federated Learning (Poster)
Yuanli Wang, Dhruv Kumar, and Abhishek Chandra
IEEE/ACM Symposium on Edge Computing (SEC) 2020
A TTL-Based Approach for Data Aggregation in Geo-Distributed Streaming Analytics
Dhruv Kumar, Jian Li, Abhishek Chandra, and Ramesh K. Sitaraman
Proceedings of the ACM on Measurement and Analysis of Computing Systems (SIGMETRICS) 3(2) · 2019
DeCaf: Iterative Collaborative Processing over the Edge
Dhruv Kumar, Aravind Alagiri Ramkumar, Rohit Sindhu, and Abhishek Chandra
2nd USENIX Workshop on Hot Topics in Edge Computing (HotEdge) 2019
An Efficient Method for Batch Updates in OPTICS Cluster Ordering
Dhruv Kumar, Poonam Goyal, and Navneet Goyal
International Journal of Data Analysis Techniques and Strategies 10(1) · 2018
Exact, Fast and Scalable Parallel DBSCAN for Commodity Platforms
Sonal Kumari, Poonam Goyal, Ankit Sood, Dhruv Kumar, Sundar Balasubramaniam, and Navneet Goyal
International Conference on Distributed Computing and Networking (ICDCN) 2017
A Fast, Scalable SLINK Algorithm for Commodity Cluster Computing Exploiting Spatial Locality
Poonam Goyal, Sonal Kumari, Sumit Sharma, Dhruv Kumar, Vivek Kishore, Sundar Balasubramaniam, and Navneet Goyal
IEEE International Conference on High Performance Computing and Communications (HPCC) 2016
Parallelizing OPTICS for Commodity Clusters
Poonam Goyal, Sonal Kumari, Dhruv Kumar, Sundar Balasubramaniam, Navneet Goyal, Saiyedul Islam, and Jagat Sesh Challa
International Conference on Distributed Computing and Networking (ICDCN) 2015
Parallelizing OPTICS for Multicore Systems
Poonam Goyal, Sonal Kumari, Dhruv Kumar, Sundar Balasubramaniam, and Navneet Goyal
7th ACM Annual COMPUTE Conference 2014

Sponsored Research

Funded Projects

Revolutionizing Indian Higher Education Institutes with Generative AI

Ongoing
Funding: BITS Pilani Budget: ₹20,00,000 Nov 2024 – Oct 2026 PI: Dr. Dhruv Kumar

Developing GenAI-powered tools and pedagogical frameworks to transform teaching and learning across engineering courses at BITS Pilani, including automated assessment, intelligent tutoring, and instructor support systems.

Generative AI in Education Grant

Completed
Funding: WISE–IIE Higher Education Consortium Budget: ₹30,00,000 Aug 2024 – May 2025 Co-PI: Dr. Dhruv Kumar

Investigated the impact and adoption of generative AI tools in Indian higher education across multiple disciplines, producing findings in engineering education, pedagogical agent design, and K-12 rural outreach.

AI for River–Climate Modeling

Completed
Funding: The Nature Conservancy (NGO) Budget: ₹25,00,000 Aug 2024 – Jun 2025 Co-PI: Dr. Dhruv Kumar

Applied machine learning and AI methods to quantify the influence of land use, land cover, and climate change on river basin hydrology, targeting degraded riparian corridors for conservation-focused rehabilitation.

Google Cloud Education Grant

Completed
Funding: Google Cloud Budget: ₹12,50,000 Jan 2024 – Dec 2024 PI: Dr. Dhruv Kumar

Cloud compute grant supporting AI and LLM research experiments, large-scale model evaluation, and infrastructure for student research projects at BITS Pilani.

Academic Collaborators

Collaborating Universities

CMU Carnegie Mellon University
UMN University of Minnesota
UMass Amherst UMass Amherst
IIIT Delhi IIIT Delhi
NC State NC State University
UIUC Univ. of Illinois Urbana-Champaign
U Michigan University of Michigan
KIIT KIIT Bhubaneswar
IIT Madras IIT Madras

IP

Patents

Coming Soon
Patent filings are in progress. Check back for updates.