I work on Scientific Machine Learning, applying deep learning to improve existing scientific workflows. Currently I am researching agentic LLMs for Scientific Machine Learning under Prof. Nikhil Muralidhar at Stevens Institute of Technology.

I am actively seeking a Summer 2027 internship. If you know of an opportunity — or would like to connect for collaboration, mentorship, or a project — please reach out by email.

Publications

LIGO-PINN: Learned Initialization via Gated Optimization to Alleviate Convergence Failures in Physics Informed Neural Networks
Nilay Anurag, Shital Adhikari, Taniya Kapoor, Nikhil Muralidhar
arXiv:2607.14233, 2026 · PDF · Code

SOMD 2025: Fine-tuning ModernBERT for In-and Out-of-Distribution NER and Relation Extraction of Software Mentions in Scientific Texts
Vaghawan Ojha, Projan Shakya, Kristina Ghimire, Kashish Bataju, Ashwini Mandal, Sadikshya Gyawali, Manish Dahal, Manish Awale, Shital Adhikari, Sanjay Rijal
Fifth Workshop on Scholarly Document Processing (SDP 2025), pp. 154–163, 2025

Integrating Large Language Models for Monte Carlo Simulation of Chemical Reaction Networks
Sadikshya Gyawali, Ashwini Mandal, Manish Dahal, Manish Awale, Sanjay Rijal, Shital Adhikari, Vaghawan Ojha
arXiv:2503.21178, 2025 · PDF

Whisper Finetuning on Nepali Language
Sanjay Rijal, Shital Adhikari, Manish Dahal, Manish Awale, Vaghawan Ojha
arXiv:2411.12587, 2024 · PDF

Building Detection and Counting in Convoluted Areas Using Multiclass Datasets with Unmanned Aerial Vehicles (UAVs) Imagery
Shital Adhikari, Vaghawan Prasad Ojha
Advances in Remote Sensing, Vol. 12, No. 3, pp. 71–87, 2023