Innovations in Computer Vision and Data Classification: From Pandemic Data Analysis to Environmental and Health Monitoring

About Arfan Ghani

Dr. Arfan Ghani currently serves as an Associate Professor in Computer Science and Engineering at the American University of Ras al Khaimah UAE. He attained academic qualifications and gained valuable experience from UK institutions including Ulster Coventry and Newcastle. Dr Ghani's industrial research and development expertise spans various roles at Intel Research the University of Cambridge and Microchip Denmark. With extensive applied research experience he has made significant contributions to leading journals and conferences and successfully secured substantial collaborative funding from prestigious entities such as EPSRC EU Innovate UK the Royal Academy of Engineering and the German Aerospace Centre. Dr. Ghani actively engages in scholarly activities serving as an Associate Editor for Elsevier Neurocomputing Guest Editor and Technical Programme Committee member for numerous IEEE/IET conferences. His contributions to the field have been acknowledged with several awards including the Best Paper award from the European Neural Network Society in 2007. Dr. Ghani specializes in Computer Vision-based healthcare diagnostics AI chip design and reconfigurable hardware accelerators for machine learning and deep neural network architectures. His expertise in these areas has led to groundbreaking advancements in applying technology to solve critical healthcare challenges. Dr. Ghani is a distinguished member of the Institution of Engineering and Technology (IET) a Chartered Engineer (CEng) and a Fellow of the Higher Education Academy in the UK.