Prashant Mhaskar

Prashant Mhaskar is a Professor in the Department of Chemical Engineering at McMaster University. His research focuses on model predictive control (MPC), fault detection and isolation (FDI), and data-driven modeling of chemical and bioprocess systems. He has established a four-year partnership with Sartorius to advance biomanufacturing technologies for antibody and virus-based treatments.

Key research areas include:

• Batch and continuous process control
• Hybrid modeling integrating first-principles and data
• Stochastic and nonlinear control systems
• Bioreactor optimization for monoclonal antibody production
• Safe-parking frameworks for fault-tolerant control
• Economic model predictive control for industrial processes

Recent work emphasizes practical implementations using recurrent neural networks, autoencoders, and physics-informed neural networks to address plant-model mismatch and sparse data challenges.