We are delighted to share that four faculty members from the Department of Computer Science and Engineering at IIT Delhi have been selected for the ANRF Early Career Research Grant, a prestigious recognition that supports young investigators working on cutting-edge challenges in computer science.
Each of the awarded projects addresses a critical challenge in computing—ranging from quantum security and network diagnostics to data privacy and trustworthy AI. Below are brief overviews of their awarded proposals:
🧩 Scalable and Compliant Data Platforms for Federated and Decentralized Data Processing
Kaustubh Beedkar
Assistant Professor, Chandruka New Faculty Fellow
Abstract:
Data privacy regulations increasingly limit centralized data processing. Kaustubh’s project addresses this challenge by building platforms for compliant data discovery and decentralized query processing in federated settings. The work focuses on enabling scalable and privacy-preserving data operations across organizational and geographic boundaries.
Bio:
Kaustubh Beedkar earned his Ph.D. from the Max Planck Institute for Informatics and the University of Mannheim. Before joining IIT Delhi, he was a Senior Researcher at TU Berlin and a Junior Fellow at BIFOLD. He has received multiple honors including the IEEE ICDE Best Paper Award and the ACM SIGMOD Distinguished Reviewer Award.
⚖️ Enhancing Automated Synthesis: A Scalable Framework for Trustworthy Systems through Graded Constraint Integration
Priyanka Golia
Assistant Professor, Chandruka New Faculty Fellow
Abstract:
Classical synthesis techniques offer high assurance but are often brittle due to their rigid “all-or-nothing” constraints. This project introduces a graded constraint framework that differentiates between essential and soft constraints. The goal is to enable the synthesis of systems that are both trustworthy and scalable, especially in complex, data-driven domains like AI where policy guarantees must coexist with performance goals.
Bio:
Priyanka Golia is an Assistant Professor at IIT Delhi and a Chandruka New Faculty Fellow. Her research focuses on formal verification, synthesis, and explainability in AI. She is interested in building correct-by-construction systems that are both verifiable and practically useful.
🛡️ Quantum Security of Lattice-based Cryptosystems
Rajendra Kumar
Assistant Professor, Chandruka New Faculty Fellow
Abstract:
Lattice-based cryptosystems are promising candidates for securing data in the post-quantum era. Rajendra’s project aims to strengthen the foundations of these systems by developing faster quantum algorithms for key problems like the Shortest Vector Problem (SVP) and Closest Vector Problem (CVP). His work will help establish concrete quantum security guarantees, ensuring robust parameter choices for future deployments.
Bio:
Rajendra Kumar completed his Ph.D. through a joint program between IIT Kanpur and NUS. His research lies at the intersection of quantum computing and cryptography. He is best known for designing the current fastest quantum algorithm for SVP in lattices.
🌐 Data-driven Network Performance Diagnostic Tools for End-hosts
Tarun Mangla
Assistant Professor, Pankaj Gupta New Faculty Fellow
Abstract:
Internet users, researchers, and policymakers often rely on simplistic speed tests, which offer limited insights. This project proposes adaptive, data-driven tools that offer deeper, more efficient, and longitudinal views of network performance. These tools promise more informative diagnostics with lower data overhead, enabling better Internet experiences.
Bio:
Tarun Mangla received his Ph.D. from Georgia Tech and was a postdoctoral researcher at the University of Chicago. His work applies data-driven techniques to improve Internet performance and accessibility. He is a recipient of the Best Paper Award at IFIP TMA 2018.
We congratulate Kaustubh, Priyanka, Rajendra, and Tarun on this well-deserved recognition and wish them continued success in their research journeys!
– Department of Computer Science and Engineering, IIT Delhi