Professor Girijesh Prasad
Professor of Intelligent Systems

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Overview
Girijesh Prasad is Professor of intelligent systems in the School of Computing and Intelligent Systems.
He is Director of Northern Ireland Functional Brain Mapping (NIFBM) facility at Intelligent Systems Research Centre, where he leads the Neural Systems and Neuro-technology research team.
Girijesh received a BTech in Electrical Engineering from Regional Engineering College (now NIT) Calicut, India in 1987, an MTech in Computer Science and Technology from University of Roorkee (now IIT Roorkee), India in 1992, and a PhD in Electrical and Electronic Engineering from Queen's University Belfast, UK in 1997.
He is a Chartered Engineer, a Fellow of IET, a Senior Member of IEEE, and a founder member of IEEE Systems, Man, and Cybernetics society's Technical Committee on Brain-Machine Interface Systems.
Girijesh joined Ulster University, as a Lecturer in 1999; he was promoted to Senior Lecturer in 2007, Reader in 2008, and Professor in 2011.
Previously he worked in industry, first as a Digital Systems Engineer and then as a Power Plant Engineer in India, and as a Research Fellow on an EPSRC/industry project at Queen's University Belfast.
His research interests are in intelligent systems, data engineering, brain modelling, brain-computer interfaces and neuro-rehabilitation, assistive technology, and biometrics.
He has published over 210 research papers in journals, edited books, and conference proceedings and his research has attracted over £5M funding from national and international agencies including Invest Northern Ireland, Department of Employment and Learning, RCUK, Leverhulme Trust, Royal Society, UK India Education and Research Initiative, and Irish industry.
Research Opportunities
Title | Closing Date | |
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A Transferable Brain-Computer Interfacing based Status Monitoring System to Augment Motor Imagery based Neurorehabilitation Funded PhD Opportunity | Friday 5 February 2021 | View Details |
Automating pre-surgical evaluation of epilepsy patients by applying AI for MEG-based interictal spike detection and epileptogenic source localisation Funded PhD Opportunity | Friday 5 February 2021 | View Details |