Dr Mamoona Asghar brings Cybersecurity expertise to the academic team

Jan 06 2022 Posted: 13:24 GMT

Following a recent round of lecturer vacancies, the School of Computer Science is delighted to welcome a new academic to the faculty member, Dr Mamoona Asghar, who started as a Lecturer above the Bar. Mamoona joins us from TU Shannon (formerly Athlone IT) where she was a Marie Curie research fellow working in the area of cybersecurity. Mamoona has previous lecturing experience in Ireland, UK, and Pakistan. 

Biography  Dr. Mamoona Asghar (Senior Member, IEEE) received a Ph.D. degree from the School of Computer Science and Electronic Engineering, University of Essex, Colchester, U.K., in 2013. She has more than fifteen years of lecturing experience at undergraduate and postgraduate level in Pakistan, UK and Ireland. Presently she is working as Lecturer (Above the Bar) in the School of Computer Science, College of Science and Engineering, National University of Ireland Galway. Before joining NUI Galway, she was working as a Marie Sklodowska-Curie (MSC) Career-Fit Research Fellow (June 2018, August 2021) and Lecturer (August 2021 to December 2021) in the Department of Computer and Software Engineering, Faculty of Engineering & Informatics, Technological University of the Shannon: Midlands Midwest, Athlone Campus, Ireland. Her MSC fellowship research targets the proposals and implementation of technological solutions for visual privacy of CCTV Surveillance systems under the European General Data Protection Regulation (EU-GDPR). She has published several ISI indexed journal articles along with numerous international conference papers. She is actively involved in reviewing research articles for renowned journals/conferences and has participated as a session chair. Her research interests include security aspects of multimedia (image, audio, and video), compression, visual privacy, encryption, steganography, secure transmission in future networks, video quality metrics, key management schemes, computer vision algorithms, and deep learning models.