HULLMI: Human vs LLM identification with explainability. - Prathamesh Dinesh Joshi; Sahil Pocker; Raj Abhijit Dandekar; Rajat Dandekar; Sreedath Panat (CoRR, 2024)

Evaluating Cultural Awareness of LLMs for Yoruba, Malayalam, and English. - Fiifi Dawson; Zainab Mosunmola; Sahil Pocker; Raj Abhijit Dandekar; Rajat Dandekar; Sreedath Panat (CoRR, 2024)

Modeling chaotic Lorenz ODE System using Scientific Machine Learning. - Sameera S. Kashyap; Raj Abhijit Dandekar; Rajat Dandekar; Sreedath Panat (CoRR, 2024)

A Scientific Machine Learning Approach for Predicting and Forecasting Battery Degradation in Electric Vehicles. - Sharv Murgai; Hrishikesh Bhagwat; Raj Abhijit Dandekar; Rajat Dandekar; Sreedath Panat (CoRR, 2024)

A comparative study of NeuralODE and Universal ODE approaches to solving Chandrasekhar White Dwarf equation. - Raymundo Vazquez Martinez; Raj Abhijit Dandekar; Rajat Dandekar; Sreedath Panat (CoRR, 2024)

Scientific machine learning in ecological systems: A study on the predator-prey dynamics. - Ranabir Devgupta; Raj Abhijit Dandekar; Rajat Dandekar; Sreedath Panat (CoRR, 2024)

CBEval: A framework for evaluating and interpreting cognitive biases in LLMs. - Ammar Shaikh; Raj Abhijit Dandekar; Sreedath Panat; Rajat Dandekar (CoRR, 2024)

Understanding Malware Propagation Dynamics through Scientific Machine Learning. - Karthik Pappu; Prathamesh Dinesh Joshi; Raj Abhijit Dandekar; Rajat Dandekar; Sreedath Panat (CoRR, 2025)

Physical Informed Neural Networks for modeling ocean pollutant. - Karishma Battina; Prathamesh Dinesh Joshi; Raj Abhijit Dandekar; Rajat Dandekar; Sreedath Panat (CoRR, 2025)