Collaboration with Shell Research, India
Sep: 2022 to Feb: 2025
In collaboration with Shell Research India, we have employed Scientific Machine Learning techniques, with a particular focus on Physics-Informed Neural Networks (PINNs), to address complex challenges in Wind Farm Simulations. This interdisciplinary approach integrates fundamental physical principles with advanced machine learning algorithms, enabling us to model and analyze the intricate dynamics of wind farms.
Technologies : Physics Informed Neural Networks, Computational Fluid Dynamics
Project Members: Thivin Anandh, Divij Ghose, Prof. Sashikumaar Ganesan
Collaboration with DRDO, India
Apr:
AI for Defence involves developing state-of-the-art machine learning models to integrate AI into combat aircraft. Some of its core components include the following:
MULTI-SENSOR DATA FUSION | RETRIEVAL AUGMENTED GENERATION | EXPLAINABLE AI | LLM-POWERED AI TOOLS
Technologies: Machine Learning for AI, Generative AI
Members: Prof. Sashikumaar Ganesan, Lokesh Mohanty, Protyush Pradyut Chowdury