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Manoj Babu

Manoj Babu

 

CONTACT INFORMATION

International Digital Laboratory, WMG
University of Warwick, Coventry, CV4 7AL, United Kingdom
Email:M.K.Babu@warwick.ac.uk
Personal Website

BIOGRAPHY

I am a Senior Teaching Fellow at WMG, University of the Warwick, leading the development of Data Science and Machine Learning, and, Vision and Image Processing modules in the WMG undergraduate program

My doctoral research focused on developing methodologies that enable the creation of a robust and adaptive assembly system that can mitigate the effects of input parts’ geometric and dimensional variations on products in a smart manufacturing environment. Specifically focusing on (1) accurate modelling and simulation of part shape errors, and (2) effective in-line implementation of 3D-optical scanners, with the aim of achieving near zero defects.

I obtained his Master’s Degree in Industrial Engineering and Management from Indian Institute of Technology (IIT) Kharagpur (2012-2014) and BEng in Aeronautics from Aeronautical Society of India (2006-2010), New Delhi. I was awarded “Shri R Venkataraman Prize” for best overall performance among all graduating students from Aeronautical Society of India during 2011.

PUBLICATIONS

RESEARCH EXPERIENCE

I have worked at R&D laboratories such as Aeronautical Development Establishment (ADE) and Aeronautical Development Agency (ADA), Bangalore, India (2011 - 2012), involved in preliminary design and aerodynamic analysis of Unmanned Air Vehicle (UAV) and Multidisciplinary Design Optimization of aircraft during early design phase.

As part of research at IIT Kharagpur, i developed a simulation based optimization methodology to aid a Decision Support System (DSS) for a port along the eastern coast of India. The developed DSS simultaneously optimised the arrival and departure of vessels, allocation of stockyard space for the cargo in the incoming vessels in conjunction with the arrival of rakes which delivered the cargo to the customers. Resulting in increased utilization of existing resources at the port and the decreased turnaround time for both vessels and rakes.