Dr Maheshkumar Thorat

Name  Maheshkumar Thorat
 Research Associate
 Address    Cockcroft Institute (S.30)
 Sci -Tech Daresbury
 University of Liverpool
 Warrington WA4 4AD, UK
 Phone  +44 (0) 7586510688
 Email  mpthorat@liverpool.ac.uk  

 

Background

After earning his bachelor’s degree in engineering from a government institute in India in 2005, Dr. Mahesh Thorat pursued his master's studies at the Indian Institute of Technology, Bombay (IIT Bombay), graduating in 2007. He achieved All India Rank 1 in GATE 2005. Following his master's, he worked as a Mechanical software developer. Additionally, he served as a lecturer and assistant professor in the Mechanical Engineering department at WIT, Solapur, India, from 2008 to 2011. Subsequently, he held positions as a software developer at BHEL and L&T from 2012 to 2014 in India. From 2015 to 2016, he served as a project research manager at NCAIR, IIT Bombay, contributing to the development of lightweight manufacturing by FRPs and the creation of lightweight products for various industries.

In 2016, he started his PhD in the Mechanical Department of IIT Bombay, focusing on "Studies on shock mitigation using metal foams composites and their sandwich structure." His PhD was financially supported by DRDO, Ministry of Defense, Government of India. During his PhD, he designed a 7-meter-long shock tube and analyzed shock wave signals post-material interaction, utilizing various sensors such as PCB and PVDF for experimental data collection.

Towards the conclusion of his PhD, he completed an online postgraduate diploma in Artificial Intelligence and Machine Learning (AI/ML) from Purdue University, USA, in 2021. He undertook an internship at General Electric's (GE) global R&D division in Bengaluru, India, focusing on AI/ML. Prior to defending his PhD thesis in November 2022, he commenced work as a Lead Data Scientist at Chistats Labs Pvt Ltd in Pune, India, where he concentrated on "Aero gas turbine engine health monitoring using AI/ML."

Dr Thorat joined the QUASAR Group in April 2024 and is engaged in AI/ML projects for particle accelerators, concentrating on the development of advanced AI/ML methodologies for accelerator design, control, beam diagnostics, and enhancing the reliability of research infrastructures by augmenting beam time availability, beam quality, and reproducibility.

Additionally, Dr Thorat has a keen interest in gym activities and is passionate about animals.

 

Research

AI for Particle Accelerator