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