Academic Division: Manufacturing and Management
Research group: Manufacturing Systems
- Malfunction Prediction
- Predictive Maintenance
- Machine Learning
- Internet of Things (IoT)
- Industrial Software System Infrastructures and Architectures
- Predicting Malfunctions in Multi-Asset Systems
- Digital Twin Research Platform and BIM Model Development in Collaboration with Centre for Digital Built Britain, University of Cambridge, Bentley Systems and Topcon
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.