Proxy model-based control of complex systems

Dear Visitor, Thanks for your interest in my research. Systems and control engineering is an active field of research finding tremendous applications in various engineering domains. I am a control systems enthusiast with a relevant academic and professional background topped with excellent teaching and research experience. I have a multi-disciplinary academic background in reservoir, chemical, and electrical engineering. My research interests are primarily in data-driven modeling and control of energy systems. During my Ph.D. at the University of Alberta, I proposed data-driven proxy modeling and control strategies to a closed-loop reservoir management problem constrained by caprock safety. I successfully published my research in high-impact journals and at international conferences.

With a background in electronics & communications in Bachelor's, specializing in control & computing in Master's at IIT Bombay, I received my doctoral degree in process control from the Chemical and Materials Engineering Department, University of Alberta. I worked as a post-doctoral researcher at the Delaware Energy Institute, U Delaware, for a year. I am now working as a post-doctoral researcher at the University of Alberta.

An energy system incorporates production, conversion, delivery, and use of energy. Energy systems is a multi-disciplinary research area primarily spanning electrical and chemical engineering disciplines. Control and optimization of energy systems play a central role in production intensification and ensuring operational safety. Having a reliable mathematical model is pivotal in achieving this goal. More often than not, developing a physics-based system model is not feasible or computationally too expensive for complex energy systems. My research addresses this issue through data-analytics based proxy/surrogate modeling, which are computationally affordable modeling techniques used in control and optimization studies.

My research focus includes Modeling & Control of Energy Systems, Process Systems Engineering, Machine Learning Techniques, Data-driven Control Techniques for Complex Systems, Uncertainty Quantification, Optimization Techniques.

Thanks for your time, have a great time.