COMPUTATIONAL ANALYTICS & PROCESS SUSTAINABILITY LAB
Department of Chemical Engineering & Yardi School of Artificial Intelligence, IIT Delhi
Meet the PI
A Collaborative Research Community
Bridging Chemical Engineering and Artificial Intelligence to solve real-world process challenges
Meet the Team
Recognised for Applied AI in Sustainable Systems
Cornell University AI4S Visiting Professorship, 2025–2026
Explore Research
Presenting Our Research Globally
From IIT Delhi to international forums such as ACS Spring
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Where Curiosity Meets Collaboration
Life at CAPS Lab — a close-knit, interdisciplinary team
View GalleryInnovating at the Nexus of Optimization, Data, and Intelligence
Welcome to CAPS Lab! Situated at the crossroads of Chemical Engineering and Yardi School of Artificial Intelligence (joint faculty) within IIT Delhi, we are a dedicated team focused on developing next-generation solutions for complex process systems, guiding them to sustainability and net zero goals.
Our approach is rooted in a deep understanding of Optimization and Control Theory, augmented by the predictive capabilities of Machine Learning and the comprehensive insights from Data Analytics.
Hariprasad Kodamana
Principal Investigator
Research Highlights
Our work spans optimization, control, and intelligence — applied to sustainable process and climate systems.
Advanced Process Control
Model-predictive and reinforcement-learning based control for complex, nonlinear, and batch processes.
Machine Learning & AI
Deep learning, graph neural networks, and LLMs for modelling, monitoring, and scientific discovery.
Optimization & Sustainability
Multi-objective optimization for net-zero, food-energy-water, and techno-ecological systems.
Climate & Atmospheric AI
Data-driven prediction of monsoons, cyclones, and sub-seasonal climate phenomena.