State and Parameter Estimation for Spark Ignition Engine with Parameter Uncertainty. - Vyoma Singh; Birupaksha Pal; Tushar Jain (MED, 2020)

State Estimation for Spark-Ignition Engines Using New Noise Adaptive Laws In Unscented Kalman Filter. - Vyoma Singh; Birupaksha Pal; Tushar Jain (CDC, 2021)

A Novel Adaptive UKF-based State Estimation Algorithm for Spark-Ignition Engines. - Vyoma Singh; Birupaksha Pal; Tushar Jain (ECC, 2021)

A UKF and RLS Based State and Parameter Estimation Algorithm for Spark-Ignition Engines. - Vyoma Singh; Birupaksha Pal; Tushar Jain (ECC, 2021)

Adaptive Unscented Kalman Filter-Based State Estimation With Applications To SI Engines. - Vyoma Singh; Birupaksha Pal; Tushar Jain (SysTol, 2021)

An a priori error analysis for a projection based variational multiscale finite element method for Oseen problems in a time-dependent domain. - Birupaksha Pal; Sashikumaar Ganesan (Comput. Math. Appl., 2021)

Integrated methodology for state and parameter estimation of spark-ignition engines. - Vyoma Singh; Birupaksha Pal; Tushar Jain (Int. J. Syst. Sci., 2021)

A novel framework for generalization of deep hidden physics models. - Vijay Kag; Birupaksha Pal (CoRR, 2024)

A novel data generation scheme for surrogate modelling with deep operator networks. - Shivam Choubey; Birupaksha Pal; Manish Agrawal (CoRR, 2024)

Learning Hidden Physics and System Parameters with Deep Operator Networks. - Vijay Kag; Dibakar Roy Sarkar; Birupaksha Pal; Somdatta Goswami (CoRR, 2024)