Hassan Ugail

Hassan Ugail (born September 24, 1970) is a Maldivian mathematician and computer scientist. He is a professor of visual computing at the Faculty of Engineering and Informatics at the University of Bradford.

Early life and education
Hassan Ugail was born in Hithadhoo, Maldives. In 1987, he moved to Malé to continue his education at the English Preparatory And Secondary School and at the Centre for Higher Secondary Education. In 1992, he received a British Council scholarship to continue his studies in the UK. Ugail received a B.Sc. degree in Mathematics in 1995 and a postgraduate certificate in 1996, both from King's College London. He earned his PhD in Visual Computing at the University of Leeds in 1999. His doctoral research focused on the application of partial Ddfferential equations in interactive surface design.

Career
After completing his PhD, Ugail worked as a post-doctoral research fellow at the Department of Applied Mathematics at University of Leeds until September 2002. He then became a lecturer at the School of Informatics at the University of Bradford. He was appointed as a senior lecturer in April 2005, and became a professor in 2009. In 2010, Ugail received the Vice-Chancellor's Excellence in Knowledge Transfer Award from the University of Bradford. In 2011, Ugail received the Maldives National Award for Innovation for his work in the field of visual computing. Ugail is the director of the Centre for Visual Computing at the University of Bradford.

Ugail is known for his work on computer-based human face analysis including facial recognition, face ageing, emotion analysis and lie detection. In 2018, Ugail worked with Bellingcat journalists to verify the identities of two suspected Russian spies involved in the Salisbury Novichok poisoning case. In 2020, BBC News investigators consulted Ugail as an expert in facial mapping to identify an alleged Nazi war criminal. , Ugail's team is working on image analysis as part of a project to assess the quality of human organs for transplant. The project is supported by NHS Blood and Transplant, Quality in Organ Donation biobank, and the National Institute for Health and Care Research.