I am a final-year Ph.D. candidate in Chemical Engineering at Arizona State University (2021–present), where I work in the Control Systems Engineering Lab under the guidance of Dr. Daniel E. Rivera. I am also a visiting and remote researcher with the Automatic, Robotics and Mechatronics research group at the University of Almería, Spain, advised by Dr. José Luis Guzmán Sánchez. In addition, I collaborate with the Center for Wireless & Population Health Systems at UC San Diego, led by Dr. Eric B. Hekler.
My research focuses on developing end-to-end methodologies for input signal design, modeling, and control of multivariable, nonlinear systems with both continuous and categorical dynamics. I apply these methods in a range of domains, including chemical processes, human behavior, epidemiology, supply chains, and renewable energy systems. More broadly, my interests lie at the intersection of control theory, optimization, and machine learning.
I hold a B.Tech in Chemical Engineering from the Indian Institute of Technology Kanpur (2017–2021). During my undergraduate studies, I worked on neural-network-based control algorithms for power converters in datacenter applications at PEACE Labs, ASU, under Dr. Ayan Mallik. I also contributed to optimal trajectory generation and control strategies for distillation columns at the Process Integration Research Lab, IIT Bombay, under Dr. Sujit Jogwar, and interned at the Computational Nanoscience and Interfacial Science Lab at IIT Kanpur under Dr. Jayant K. Singh.