Resmi Suresh

Timeline

1. By 2017

   Battery modeling at IIT Madras

   She starts a B.Tech in biotechnology at NIT Calicut and moves to chemical engineering after a year. Her master's project on batteries at IIT Madras, done with Raghunathan Rengaswamy, grows into a PhD on modeling rechargeable batteries. In 2017, she coauthors a book chapter with Rengaswamy on capacity fade minimizing model predictive control for charge-discharge cycles in lithium-ion batteries.

2. 2018

   Papers on battery capacity fade

   Computers & Chemical Engineering publishes her two-part series "Modeling and control of battery systems" with Raghunathan Rengaswamy in 2018. Part I revisits Butler–Volmer equations to model the non-linear coupling of capacity fade mechanisms, and Part II presents a model predictive controller for optimal charging.

3. By 2019

   Fault diagnosis at Columbia

   After her PhD, she does postdoctoral research at Columbia University on fault detection and diagnosis. In 2019, she coauthors "A hierarchical approach for causal modeling of process systems" in Computers & Chemical Engineering with Abhishek Sivaram and Venkat Venkatasubramanian.

4. 2019–2022

   Assistant professor at IIT Guwahati

   In 2019, she returns to India as an Assistant Professor in the Department of Chemical Engineering at IIT Guwahati and sets up a research laboratory on systems engineering for rechargeable batteries and electric vehicles. Her work covers algorithms for online fault detection and diagnosis, control algorithms for industrial systems, and applied optimization and machine learning. She holds the post until 2022.

5. 2021

   Review of electrochemical energy technologies

   With Deepa Elizabeth Eapen, Sairaj Patil and Raghunathan Rengaswamy, she publishes a 2021 Renewable and Sustainable Energy Reviews paper on a systems engineering perspective on electrochemical energy technologies. It compares secondary batteries, fuel cells and flow batteries and proposes a framework for choosing the technology best suited to an application.

6. 2022

   Associate researcher at RBCDSAI

   In 2022, she is an Associate Researcher at the Robert Bosch Centre for Data Science and AI at IIT Madras, drawn by her interest in AI and data science for building safer batteries and industrial systems. A 2022 book chapter with M. Aswin Krishna, Ayush Kedawat and Abhishek Bansal covers feature engineering for neural network-based oscillation detection in process industries.

7. 2023

   The Data Science for Engineers textbook

   CRC Press publishes Data Science for Engineers in 2023, a textbook she coauthors with Raghunathan Rengaswamy. Its chapters run from linear algebra and optimization to statistical foundations, function approximation and classification.