Artificial Intelligence Research Groups

Cooperative Systems & Intelligence (CoSI) Lab
We are dedicated to scaling cooperative intelligence via rational, model-based AI engineering. By reverse engineering the computational foundations of human cooperation, and using those insights to build reliable, coherent, and human-like cooperative systems, we aim to enable collective safety and flourishing in an increasingly automated future.


Deep Learning Lab
Our lab aims to contribute to the development of deep learning methods and the understanding of intelligence.

Group of Learning and Optimization Working in AI (GLOW.AI)
At GLOW.AI, we are interested in learning & optimization on data-centric AI, collaborative AI, automated AI, and AI for science problems, their applications to LLMs & MLLMs, among others. Our group is multi-disciplinary: CS, math, stats, physics, engineering, data science. We believe in theory & practice.

Information Theory and Statistical Learning Group
Our group performs research at the intersection of information theory, machine learning, and high-dimensional statistics, with ongoing areas of interest including information-theoretic limits of learning, adaptive decision-making under uncertainty, scalable algorithms for large-scale inference and learning, and robustness considerations in machine learning.
- Learning Theory, Machine Learning


Adaptive Computing Laboratory
Our long-term goal is to understand the fundamental computational questions that enable fluid human-robot interaction, collaboration, and ultimately co-existence. Our current research focuses on robust robot decision-making under uncertainty by integrating planning and machine learning.


STeAdS Virtual Group
Software Engineering and Technological Advancements for Society. A virtual group that uses Software engineering practices and Technological advancements (Cloud computing, Artificial Intelligence (EdgeAI, ML)) for the benefit of various aspects of society (healthcare, education, art & culture). Looking for students to collaborate on different projects. Look at ganeshniyer.github.io for details.
- Decision Making & Planning, Machine Learning, Multi-Agent Systems & Algorithmic Game Theory