Accelerating scientific research using MATLAB

MATLAB is a high-level language and interactive environment that includes mathematical functions for solving engineering and scientific problems. In this seminar, we will present select case studies highlighting how MathWorks tools were instrumental in solving key research challenges. One of the case studies is regarding the development of real-time instrumentation for acquiring and processing data in radio astronomy. At UC Berkeley, the Center for Astronomy Signal Processing and Electronics Research (CASPER), scientists and engineers were able to deploy sophisticated radio astronomy instruments in a very short time using a custom-built library, developed using MathWorks tools. The second case study demonstrates how an AI based approach was used to screen materials for lithium-based battery electrolyte from a database of over 12,000 options at Stanford University. To show the programming and visualization environment of MATLAB, solution of a problem involving coupled differential equation will also be shown.

About the Speaker:
Debanand Singdeo has a Bachelor’s degree in physics from Visva Bharati, Santiniketan, followed by MSc-PhD degree from the Department of Energy Science and Engineering, IIT Bombay. His prior research experience is in the area of modelling and simulation of renewable energy systems. In previous roles, he has worked as a postdoctoral fellow in the Department of Energy Technology, Aalborg University, Denmark and as DST Inspire faculty in Tezpur University, Assam.