Speakers

Data Scientist by profession and CEO by the needs. His personal vision is to advance the field of AI that can ultimately contribute towards solutions for social issues.

IIT Roorkee alumnus and Director of Purdue's Institute for Physical AI; works on parallel & distributed computing and large-scale data analytics.

Directs the IDEAS Lab; research in robotics, embodied AI, human-robot collaboration and intent-aware planning.

Principal Investigator of the IITB-HRTI Centre for Computer Vision, MultiModal AI and Geo-Intelligence, and serves as an AI Engineering Advisor for AWL Inc., Japan.

Research in human-robot interaction, embodied AI, NLP for robotics and multi-robot systems.

Expert in Reinforcement Learning, Markov Decision Models, Queueing Models, and Game Theory. A co-recipient of the 2024 Google India Research Award.

Works on fundamental artificial intelligence and machine learning problems, in particular generalisability (through transfer learning, meta-learning, zero-shot learning, and few-shot learning), generative models, and explainability

Leads the Vision & AI Lab; research in computer vision, deep learning and machine learning. Fellow of INAE.

Dean of the School of Computing, Information & Data Sciences; research in embedded and cyber-physical systems and data science. IEEE/ACM/AAAS Fellow.

Also working as Head, Manekshaw Centre of Excellence for National Security Studies and Research.

Heads the Machine Intelligence, Signals & Networks (MISN) Lab; works on machine learning, graphical models and large-scale optimization.

Leads the DeCLaRe Lab; research in large language models, multimodal AI, NLP and affective computing.

Leads the StARLinG Lab; research in statistical relational learning, probabilistic & neuro-symbolic AI, and AI for healthcare.

An expert in Artificial Intelligence, computational neuroscience, brain imaging, and biomedical engineering. He is FNAE, FNASc., FAIIA, SMIEEE.

A pioneer of data mining and high-performance computing; applies machine learning to global challenges such as climate and the environment.

Directs the iPAL Lab; research in signal & image processing, computational imaging and interpretable deep learning. IEEE Fellow.