Google India Research Awards recipients

Abhishek Sinha and Rahul Vaze, Tata Institute of Fundamental Research, Mumbai
Online Convex Optimization with Online Constraints

Mrinal Kumar and Ramprasad Saptharishi, Tata Institute of Fundamental Research, Mumbai
Fast multipoint evaluation and matrix multiplication

Arkadev Chattopadhyay, Tata Institute of Fundamental Research, Mumbai
Quantum Supremacy and Limitations in Rudimentary Models

Arkaprava Basu, Indian Institute of Science
Towards improving the quality of GPU-accelerated software

Phani Sudheer Motamarri, Indian Institute of Science
Hardware-aware computational algorithms for quantum modeling of materials at exa-scale

S. Akshay, Indian Institute of Technology Bombay
MDPs as distributional transformers: Verification and Strategy Synthesis

Shweta Agrawal, Indian Institute of Technology Madras
Balancing Privacy and Accountability via Cryptography

Sarthak Parikh, Indian Institute of Technology Delhi
Practical Quantum Computing for Machine Learning

Abhilash Jindal, Indian Institute of Technology, Delhi
Composable ML workflows

Akshayaram Srinivasan, Tata Institute of Fundamental Research, Mumbai
Efficient Protocol Compilers

Biswabandan Panda, Indian Institute of Technology, Bombay
Pushing the Limits of Hardware Prefetching with a Post-Silicon Hardware Prefetcher

Dootika Vats, Indian Institute of Technology, Kanpur
Towards reliable and robust ML: Estimating Variability in Stochastic Gradient Descent

Mainack Mondal, Indian Institute of Technology, Kharagpur
Design, Development and Evaluation of a Continual Learning-based Client-side Data Privacy Dashboard for Online Platforms

Makarand Tapaswi, International Institute of Information Technology, Hyderabad
Fine-Grained Video Understanding

Prahladh Harsha, Tata Institute of Fundamental Research, Mumbai
Super-efficient verification in the age of the blockchain

Pranabendu Misra, Chennai Mathematical Institute
New Directions in Parameterized Streaming Graph Algorithms

Subhajit Roy, Indian Institute of Technology, Kanpur
Analysis and Verification of Programs with Underdefined Interfaces

Abir Das, Indian Institute of Technology Kharagpur
Making Unsupervised Domain Adaptation More Efficient

Arindam Khan, Indian Institute of Science
Optimization under uncertainty and fairness

Arkaprava Basu, Indian Institute of Science
Enhancing GPU Software Reliability and Performance

Ashutosh Modi, Indian Institute of Technology Kanpur
Streamlining Indian Legal System using Natural Language Processing

Chaya Ganesh, Indian Institute of Science
Proof systems for privacy-preserving scalable decentralized applications

Dweepobotee Brahma, Indian Institute of Technology Jodhpur
Understanding the roots of child health inequities in India using Machine Learning

Keerti Choudhary, Indian Institute of Technology Delhi
Uncertainty in Graphs

Pushpak Jagtap, Indian Institute of Science
Formal Guarantees for Learning-based Control of Cyber-Physical Systems

Swarnendu Biswas, Indian Institute of Technology Kanpur
Efficient Dynamic Data Race Detection for Task-Based Programs

Anirban Dasgupta, Associate Professor at the Indian Institute of Technology Gandhinagar
Working on developing randomized approximation algorithms for numerical tensor algebra that strike a balance by being practically useful as well as by being equipped with theoretical guarantees. They also aim to develop algorithms within streaming applications and large-scale social networks.

Arpita Patra, Associate Professor at the Indian Institute of Science
Working on molding the use of Secure Multiparty Computation (MPC) techniques to advance Machine Learning that preserves the privacy of the user, which can be tuned to real-world problems in the social good space, such as medical diagnosis systems, disparity against women, and fake news detection.

Pawan Goyal, Associate Professor at the Indian Institute of Technology Kharagpur
Developing ways to build conceptual understanding of natural language in AI Dialogue Systems. Their work aim to develop dialog systems that can learn underlying concepts and perform basic commands to help AI systems in conversations.

Soma Biswas, Associate Professor at the Indian Institute of Science
Working on making AI systems robust by fundamentally advancing how deep learning algorithms recognize and directly provide information on what groups of data the system does not know much about . This work has widespread applications in image classification, detection, segmentation, etc.

Vasudeva Verma, Professor at International Institute of Information Technology Hyderabad
Advancing their work on ‘Project ANGEL’, an initiative aimed at utilizing machine learning techniques to enhance the well-being of teenagers, especially teenage girls on social media. They intend to develop a cohesive technology stack (including prior work on hate speech detection, sexism classification), through multi-disciplinary research for helping teenagers in an empathetic, proactive manner.

A N Rajagopalan, Professor at the Indian Institute of Technology Madras
Camera-centric Fine-grained Video Captioning

Piyush Rai, Assistant Professor at the Indian Institute of Technology Kanpur
Deep Latent Variable Models for Graph-Structured Data

Rijurekha Sen, Assistant Professor at the Indian Institute of Technology Delhi
Automated road traffic measurement and management in developing countries

Sunita Sarwagi, Professor at the Indian Institute of Technology Kanpur
Continuous, Compositional, and Human intervenable Learning

Tanmoy Chakraborty, Assistant Professor at the Indraprastha Institute of Information Technology Delhi
Collusion Dynamics in Online Groups – Integrating Cues from Language, Behavior and Networks