Our lab focuses on the development of physics-informed, data-driven, and hybrid machine learning frameworks for modeling complex dynamical systems. We work at the intersection of machine learning, applied mathematics, and domain sciences, with strong emphasis on Neural ODEs, physics-informed machine learning (PIML), sequence-aware modeling, and multimodal AI.
Dr. Manoj Kumar
Our research builds on prior work in model compression, coreset selection, generative AI, and resource-efficient multimedia/video processing, aiming to drive innovation in applications spanning AI-driven vision, healthcare, and speech.
Dr. Tushar Shinde
The SAAIL Lab (Sustainable AI for Agriculture & Intelligent Livelihoods), develops responsible artificial intelligence solutions addressing challenges in agriculture, healthcare, and sustainable development in East Africa and the Global South. Our research combines technical rigor with practical impact, ensuring AI technologies serve communities sustainably and equitably.
Dr. Innocent Nyalala
