Sarasij Banerjee
About Me
I am currently pursuing my PhD at the Control Systems Engineering Lab at Arizona State University, led by Dr Daniel E. Rivera. Prior to this, I completed my undergraduate at the Indian Institute of Technology Kanpur (IITK), majoring in Chemical Engineering with a focus on Process Dynamics and Control. Presently working on optimizing Adaptive Mobile Health Interventions using control systems based engineering approaches. During my stay at IIT Kanpur, I was highly fortunate to have been mentored (in no particular order) by Dr. Deepak Dhingra (IITK, ES), Dr. Jayant K. Singh (IITK, CHE), Dr. Ayan Mallik (ASU, EEE), and Dr. Sujit S. Jogwar (IITB, CHE), all of whom have greatly shaped my path in pursuing a Ph.D. in Control Systems, and research in general.
Research Interests
I am broadly interested in the domains of modeling, optimization, and control theory. Specific interests involve:
- Model Predictive Control: Multi-Degree-of-Freedom MPC, Hybrid MPC, Data-Driven Predictive Control
- System Identification: Input Signal Design, Nonparametric Regression, Model-on-Demand, Direct Weight Optimization
News
- [June. 2023] Presented a poster on Model-on-Demand-based Three Degree-of-Freedom Model Predictive Control at American Control Conference 2023, San Diego, California.
- [December. 2022] Delivered a talk on Discrete Simultaneous Perturbation Stochastic Algorithm (DSPSA) based system identification for designing optimized behavioral interventions at the AIChE Computing & Systems Technology Division session 2022, Phoenix, Arizona
- [August. 2021] Joined the Control Systems Engineering Lab at ASU as a Graduate Research Assistant.
- [July. 2021] Graduated from IIT Kanpur with a B.Tech. from the Department of Chemical Engineering.
Publications
-
PEDES
2020 IEEE International Conference on Power Electronics, Drives and Energy Systems (PEDES 2020).
Services
Conference Reviewers
Powered by Jekyll and Minimal Light theme.