Ph.D. Students:
• Monu Kumar (Ongoing)
• Ram sagar (Ongoing)
• Bidyadhar Sahu (Ongoing)
• Vinay Patel (Ongoing)
• Pradeep Kumar Sahu (Ongoing)
M. Tech. Major Project Students:
• Siddhant Pratap Singh (Ongoing)
• Vaibhav Ingle (Ongoing)
M.Sc. Students:
• Yash Kumar, Forecasting Stock Indices and Environmental Systems-A comparative analysis of Stochastic and Machine Learning Models, 2025
• Sandeep Kumar Ram, Numerical methods for differential equations, 2025
• Dipanjon Sen, Data driven option pricing using single and multi-asset Supervised Learning, 2024
• Subhadeep Das, Inferring solutions of differential equations using noisy multi-fidelity data, 2024
• Ravi Raj, Study of discrete Markov Chain and its Application, 2024
B. Tech. Major Project Students:
• Aryan Kothioyal, Solving Nonlinear PDEs using Stochastic ML and Residual Networks for Option Pricing, 2025
• Aryan Mrigwani, Solving Partial Differential Equations with convolutional neural network, 2025
• Prakhar Gupta, Learning time-dependent PDEs with a linear and nonlinear separate convolutional neural network, 2025
• Prakash Kumar Jha, A Machine Learning Based Approach to Assess Impact of MGNREGA and PDS on Agricultural Labour Availability, 2025
• Suryansh Jaiswal, Solving Nonlinear PDEs using Stochastic ML and Residual Networks for Option Pricing, 2025
• Devesh Kumar Pandey, An Assessment of Impact of MGNREGA and PDS on Agricultural Labour Availability, 2025
• Ayush Bhaskar Singh, Adaptive Weighting Strategies in Physics-Informed Neural Networks: A Focus on Self-Adaptive PINNs for solving PDEs, 2025
• Rishabh Raunak, Advanced Physics-Informed Neural Networks for solving Partial Differential Equations, 2025
• Keshav Saxena, Solving Partial Differential Equations with Deep Operator Neural Networks- DeepONets, 2025
• Shantanu Vishal Punde, Energy Dissipative Deep Operator Neural Networks for solving Partial Differential Equations, 2025
• Abhishek Nayak, Topic: Option Pricing with Machine Learning, 2021
• Priyansh Bharadwaj, Topic: Solving High Order Partial Differentiation Equation Using Deep Learning, 2021
• Rishabh Prasad Topic: Pricing Options and computing implied volatilities using Artificial Neural Networks, 2021
Students from other institutes:
• Suraj Kumar, Institute of Mathematics and Applications, Bhubneshwar (May 2022-July 2022)
• Parul Agarwal, Institute of Mathematics and Applications, Bhubneshwar (May 2022-July 2022)
• Tushar Raj, BIT Mesra (May 2021- July 2021)
• S. Priyadarshini, Bishop Heber College, Tuticorin, Tamilnadu (May 2021- July 2021)
• Divyansh Rai, IIIT Allahabad (May 2020- June 2020)
• Sandhya Rathore, IIT BHU (May 2020- June 2020)
• Avanish Pratap Singh, Galgotias University (May 2020- June 2020)
