A hybrid modeling approach integrating first-principles knowledge with statistical methods for fault detection in HVAC systems. - Hesam Hassanpour; Prashant Mhaskar; John M. House; Timothy I. Salsbury (Comput. Chem. Eng., 2020)

A Practical Reinforcement Learning (RL) Controller Design for Nonlinear Systems. - Hesam Hassanpour; Prashant Mhaskar; Brandon Corbett (ACC, 2024)

A hybrid clustering approach integrating first-principles knowledge with data for fault detection in HVAC systems. - Hesam Hassanpour; Amir H. Hamedi; Prashant Mhaskar; John M. House; Timothy I. Salsbury (Comput. Chem. Eng., 2024)

A practically implementable reinforcement learning control approach by leveraging offset-free model predictive control. - Hesam Hassanpour; Prashant Mhaskar; Brandon Corbett (Comput. Chem. Eng., 2024)

A practical reinforcement learning control design for nonlinear systems with input and output constraints. - Hesam Hassanpour; Brandon Corbett; Prashant Mhaskar (Comput. Chem. Eng., 2025)