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Spotlight Papers

Posters 2025

* indicates presenting author
C Lokesh Reddy*, Soham Mangesh Virkar, Vishnu Swaroopji Masampally, Venkataramana Runkana
Graph Neural Networks as Industrial X-Ray Vision
Tata Consultancy Services Limited Pune, India
Mahule Roy*, Snehal Rakshit, Shinjini Mondal, Rahul Jaisy, Varun Ramanathan Alagappan, Eishaan Khatri, Vedant Vijay Patil, Archishman Banerjee, Mariane Desiree C. Avendaño, Yashika Sharma, Elumalai Oviya Dharshini, Nanditha Immidi, Theo Fraser, Emanuel Espinoza Prado, Gayathri Aishwarya E, Akash Kanji
Bridging the Gap: Enhancing and Evaluating Zero-Cost LLMs for Scientific Question Answering
University of Oxford, UK
Neha Yadav*, Atul Rajput
Enhanced NAS-PINNs: Strategies for Efficient PDE Solving
Dr. B. R. Ambedkar National Institute of Technology Jalandhar, Punjab, India
Neeru Dubey*
Generative AI for Biomaterial Innovation: The Case of Spider Silk
KTH Royal Institute of Technology Stockholm, Sweden
Saurav Mittal*
Learning to Optimize: Edge-Based Graph Neural Networks Trained on MILP-Optimized Routing Paths
Centre for Development of Advanced Computing Pune, Maharashtra, India
Neha Yadav*, Dhruv Bindra
Application of Physics-Informed Neural Networks to Inverse Problems in Material Science
Dr. B. R. Ambedkar National Institute of Technology Jalandhar, Punjab, India
Suriya R S*, Prathamesh Dinesh Joshi, Rajat Dandekar, Raj Dandekar, Sreedath Panat
Forecasting N-Body Dynamics: A Comparative Study of Neural Ordinary Differential Equations and Universal Differential Equations
Vizuara AI
Somnath Das*, Scindhiya Laxmi
RAPINN: A novel Residual guided self-Adaptive loss balanced Physics-Informed Neural Network for robust early cancer detection
Indian Institute of Technology Dhanbad, Jharkhand, India
Rahil Shah*, Dr. David Burns, Palak Agrawal, Ashish Meena
An Agentic AI Framework for Unified Brain Health Profiling: Integrating Multimodal Neurological Data with Foundation Models
Project Dart Surat, GJ, India
Haridarshan Kumar*, Sanjeev Kumar
Implementation of the Perona–Malik Model for Image Despeckling Using a Physics-informed ConvNet
Indian Institute of Technology Roorkee, India
Himanshu Mittal*, Prashant Kumar, Rajesh Ranjan
Physics-Informed Deep Operator Networks for Surrogate Modeling of Incompressible Flows
Indian Institute of Technology Kanpur, India
Malavika Nair*, Prashant Kumar, Rajesh Ranjan
Data-Free PINN Approach for Predictions of Unsteady Vortex Shedding
Indian Institute of Technology Kanpur, India
Naman Krishna Pande*, Arun Kumar, Arvind Kumar Gupta
Robust Mean Field Games of Autonomous Traffic via Physics-Informed Adversarial Attention Networks
Indian Institute of Technology Ropar, India