Madhumitha Ravichandra is a PhD up-and-comer keen on propelling intensity move and surface designing procedures to improve the wellbeing and execution of thermal power frameworks and decrease their ecological effects.
Utilizing her profound information on the incorporation of logical computer based intelligence with high-throughput independent trial and error, she looks to change the improvement of radiation-solidified (rad-hard) sensors, which might actually endure and work in the midst of radiation levels that would deliver customary sensors futile.
By coordinating logical artificial intelligence with high-throughput independent trial and error, she plans to quickly repeat plans, test under fluctuated conditions, and guarantee that the eventual outcome is both powerful and straightforward in its activities.
Her work in this space could move the worldview in rad-hard sensor improvement, tending to a glaring void on the lookout and reclassifying principles, guaranteeing that atomic and space applications are more secure, more productive, and at the forefront of mechanical advancement. Ravichandran procured a BTech in mechanical designing from SASTRA College, India.