Mousumi Mukherjee received her Bachelor of Technology (B.Tech.) degree in Electrical Engineering from West Bengal University of Technology in 2012. She received her Master of Engineering (M.E.) degree with Control System specialization from the Department of Electrical Engineering of Indian Institute of Engineering Science and Technology, Shibpur, West Bengal in 2014. She completed her Ph.D. from the Control and Computing group of the Electrical Engineering Department of Indian Institute of Technology Bombay in 2020. From April 2021 to March 2023, she was a postdoctoral researcher in the Chair for Mechatronics, Mechanical Engineering and Process Engineering Department at Technical University of Kaiserslautern, Germany. Prior to joining IIEST, Shibpur, she was associated with the Control and Optimization group of the Electrical Engineering Department of Indian Institute of Technology Madras first as a postdoctoral researcher and then as a DST-INSPIRE Faculty. Her broad area of research is systems and control theory.
Post-doc at Chair for Mechatronics, Technische Universität Kaiserslautern, Germany, April 2021 -- March 2023.
Ph.D. in Electrical Engineering, IIT Bombay, 2014 -- 2020. Recipient of Excellence in PhD Research Award.
M.E. in Electrical Engineering, IIEST, Shibpur, 2012 -- 2014. Recipient of University Silver medal for first rank in EE.
B.Tech. in Electrical Engineering, WBUT, 2008 -- 2012. Recipient of University Gold medal for overall first rank in EE.
My research interests lie in the broad area of mathematical systems theory and control theory.
My Ph.D. work was on characterizing initial data for systems of partial differential and difference equations (pdes). The primary contributions were in providing an algebraic characterization of initial data required to solve linear systems of pdes, addressing the issue of minimal initial data and eventually using the initial data to explicitly solve the system of pdes, algorithmically. The theoretical aspect of the work relied on mathematical tools from linear algebra and commutative algebra. For the computational part, algorithms were given using tools from computational commutative algebra; in particular, the theory of Groebner basis was used.
During my postdoc, I started exploring the topic of abstraction of dynamical systems. In particular, formulating a notion of bisimulation for systems of partial differential and difference equations, which is still largely open, was the main objective. I also worked on data-driven control of dynamical systems.
Created: 23 November 2019