๐ B.Tech CSE (CBSE) @ Thapar Institute of Engineering & Technology (TIET'25)
๐ง Passionate about Grey-Box AI โ Bridging Deep Learning & Domain Knowledge
๐งช Research Interests:
ย ย ย ย ๐ฌ Scientific ML | ๐งฎ Physics-Informed Neural Networks (PINNs) | ๐ง Biomedical AI
๐ IEEE & Scopus-Indexed Author | ๐งโ๐ซ UGC-NET Qualified (PhD Eligibility)
๐งฐ Crafting neurons that think beyond data: shifting towards domain principles
๐ก Towards AI thatโs interpretable, applicable, and impactful
- ๐ Inverse PINNs โ Estimating hidden parameters from physical observations.
- ๐ Grey-Box AI Guide โ A beginner-friendly guide to physics-informed and domain-aware ML.
- ๐ง Biomedical Modeling โ Combining clinical insights with computational modeling.
If youโre working on interpretable AI, PINNs, or biomedical data modeling, letโs connect!

