Personal profile

Overview

Dr Li Meng received her degrees of M.Sc. in Microelectronic Systems & Telecommunications in 1998 and Ph.D. in Pattern Recognition using Enhanced Machine Learning in 2002, both from the University of Liverpool, UK. Dr Meng joined the University of Hertfordshire as a lecturer in September 2004 and has been appointed as a principal lecturer since 2022. She has acted as the team leader in several funded research projects and is holding a strong research profile. She was awarded 'Best Research Guidance' by the University of Hertfordshire in 2018.

Research interests

Machine Learning, Computer Vision, Pattern Analysis, Biometrics, Artificial Intelligence. 

Face recognition for security control:

•    Completed a three-year KTP project of £195k which has been rated as 'outstanding' by Innovate UK

•    Two European patent applications filed (see publications for details)

Face de-identification for privacy protection:

•    Real-time face de-identification of videos

•    Attribute-controlled face image synthesis using conditional generative adversarial networks

•    A member of the Management Committee for the European COST Action IC1206 De-identification for privacy protection in multimedia content http://www.cost.eu/COST_Actions/ict/IC1206

•    As reported by the IET E&T Magazine in article “Swapping Faces in Photos Could Protect Privacy Online” https://eandt.theiet.org/content/articles/2015/07/swapping-faces-in-photos-could-protect-privacy-online/

•    A member of the BSI IST/37 Coding of picture, audio, multimedia and hypermedia information

•    A member of the Biometrics Institute Privacy Expert Group

Research interests

Machine Learning, Computer Vision, Pattern Analysis, Biometrics, Artificial Intelligence. 

Face recognition for security control:

•    Completed a three-year KTP project of £195k which has been rated as 'outstanding' by Innovate UK http://www.herts.ac.uk/business-services/success-stories/knowledge-transfer/case-studies/next-generation-artificial-intelligence     

•    Two European patent applications filed (see publications for details)

Face de-identification for privacy protection:

•    Real-time face de-identification of videos

•    Attribute-controlled face image synthesis using conditional generative adversarial networks

•    A member of the Management Committee for the European COST Action IC1206 De-identification for privacy protection in multimedia content http://www.cost.eu/COST_Actions/ict/IC1206

•    As reported by the IET E&T Magazine in article “Swapping Faces in Photos Could Protect Privacy Online” https://eandt.theiet.org/content/articles/2015/07/swapping-faces-in-photos-could-protect-privacy-online/

•    A member of the BSI IST/37 Coding of picture, audio, multimedia and hypermedia information

•    A member of the Biometrics Institute Privacy Expert Group

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