Gishan joined DIAL in October 2017 to pursue an EPSRC funded PhD, under the supervision of Dr Ajith Parlikad. His main area of research interest is predictive maintenance. In his PhD, he is researching on how to apply machine learning to predict malfunctions and faults in multi-asset systems.
Before starting the PhD, he completed a master’s degree in Computer Science and Artificial Intelligence from the University of Nottingham. As part of his master’s program, he worked with Prof Dario Landa-Silva on the COSLE (Collaborative Optimisation in a Shared-Logistics Environment) project and developed a computer vision-based freight measuring solution. Gishan has also completed internships at Roller Agency and JP Morgan during his undergraduate degree.
He also worked as a software developer and later as a senior software architect and involved in designing and implementing software systems for patient health management and disaster monitoring for companies such as GSK, Novartis, MyZone and HelpAge International.
Internet of Things (IoT)
Industrial Software System Infrastructures and Architectures
Member, The Institute for Manufacturing
Member, Distributed Information and Automation Laboratory
Member, Fitzwilliam College Cambridge