Lecturer in Computer Science and Applied Computing, School of Computing and Digital Media, London Metropolitan University.
Tabs
Mona has pursued her PhD in Computer Science, from School of Computing, National University of Singapore (NUS); MSc in Communication and Information Technology and BSc in Computer Science in Egypt.
Previous Experience:
Mona’s working experience has been in higher education (HE); combining teaching and research job positions. Before she joined London Metropolitan University as a Lecturer, she worked as Teaching Assistant/Assistant Lecturer in Egypt and the National University of Singapore. Mona has the pleasure to teach many courses such as Programming Language (C, C++, OOP, etc.), Data Structures, Digital Image Processing, Human Computer Interaction, Data Structures and Algorithms, Software Engineering, Logic Design, Artificial Intelligence, Data Communication, Building a Video Streaming System with DASH. She has received the Associate Fellow (AFHEA) recognition from AdvancedHE in UK.
On research,
Mona worked as Research Assistant at different periods in: the Center for Informatics Science, Nile University, Egypt; both departments of Computer Science and Information Systems and Analytics, NUS, Singapore; the department of Visual Computing, Institute for Infocomm Research (I2R), Agency for Science, Technology And Research (A*STAR), Singapore; and as Research Associate in the Vision, Graphics and Learning (VGL) research group in Computer Science department, University of York, UK. Her research focus has been on Computer Vision, Machine Learning (ML), Digital image Processing and Deep Learning fields. She has worked in multi&inter-disciplinary projects combining these fields with other-fields such as Medical Imaging, Psychology, Cognitive-Science and Cyber Security to create applications. She has several publications in top-ranked venues on Image/Video Processing for segmentation, tracking and classification problems using biometrics such as person/object detection, recognition, expression/emotion recognition.
Modules on UG and PG levels which are introduced across several courses such as Computer Science course, Computer Systems Engineering and Robotics course, MSc of Artificial Intelligence course, MSc Robotics with Artificial Intelligence course.
Recent modules Leadership/teaching:
- Data Structures and Specialist Programming (Leadership)
- Programming
- Artificial Intelligence and Machine Learning
- Machine Learning for PG Levels
- AI Vision and Deep Learning for PG Levels
Supervision:
Projects of UG final year, Career Development Learning; as well as MSc And PhD dissertations.
Areas of interests:
- Computer vision
- Machine learning
- Deep learning
- Image Processing
- Artificial Intelligence (AI)
- Medical Imaging
- Multi&inter-disciplinary projects that combine one or more of the fields above with Psychology, Cognitive Science, Medical Applications, Cybersecurity and other fields.
Research Center/group:
- AI and Data Science Research Group, School of Computing and Digital Media, London Metropolitan University.
- Cyber Security Research Centre, School of Computing and Digital Media, London Metropolitan University.
- Geangu, E., Smith, W. A.,... Mona Ragab Sayed Abdelgayed et al. (2023). EgoActive: integrated wireless wearable sensors for capturing infant egocentric auditory–visual statistics and autonomic nervous system function ‘in the wild’. Sensors, 23(18), 7930.
- Mona Ragab Sayed, Terence Sim, Joo Hwee Lim, and Keng Teck Ma. Which body is mine?, in the Winter Conference on Applications of Computer Vision (WACV). IEEE, 2019.
- Guo Yutong., Goh Khim Yong, and Mona Ragab Sayed., “Mobile Live Streaming: The Roles of Broadcasters’ Screen Presence and Dynamic Emotions in Viewership Engagement”, in the 40th International Conference on Information System (ICIS), 2019.
- Mona Ragab Sayed Abdelgayed., Person Recognition Inspired By Human Visual System (Doctoral dissertation, National University of Singapore (Singapore)), 2019.
- Divya Sivasankaran, Mona Ragab Sayed, Terence Sim, Yair Zick, Context-aware Fusion for Continuous Biometric Authentication, in the International Conference on Biometrics (ICB). IEEE, 2018.
- Mona Ragab Sayed, Rosary Yuting Lim, Bappaditya Mandal, Liyuan Li, Joo-Hwee Lim, and Terence Sim. Analysis of human attentions for face recognition on natural videos and comparison with CV algorithm on performance, in the Association for the Advancement of Artificial Intelligence (AAAI) Spring Symposia. AAAI Press, 2017.
- Bappaditya Mandal, Rosary Yuting Lim, Peilun Dai, Mona Ragab Sayed, Liyuan Li, and Joo Hwee Lim. Trends in machine and human face recognition, in Advances in Face Detection and Facial Image Analysis, pages 145-187. Springer, 2016.
- Mona Ragab Sayed, Rosary Lim, Bappaditya Mandal, Keng Teck Ma, Liyuan Li, and Joo-Hwee Lim. Evaluating human performance in dynamic perspective invariant face recognition, in the Asia-Pacific Conference on Vision (APCV), 2015.
- Mona Ragab Sayed and Ahmed Samir Fahmy, “Evaluation Of The Cardiac Global Function From Tagged Magnetic Resonance Images, in the (771) Imaging and Signal Processing in Health Care and Technology (ISPHT) / 772: Human-Computer Interaction (HCI) / 773: Communication, Internet and Information Technology (CIIT), 2012.
Scholar profile: https://scholar.google.com/citations?user=YJPvhL4AAAAJ&hl=en
Highlights of funds/Awards:
- Leading, Educating and Nurturing Talent (TALENT) Award - A*STAR, Singapore, 2018 (given to the whole team I am working with).
- SINGAPORE INTERNATIONAL GRADUATE AWARD (SINGA), 2015.
- Third prize of software design in Microsoft Imagine Cup competition, Egypt. Awarded by Microsoft and the Minister of State for Environmental Affairs, 2008; following by Distinguished participation in 2009.
- Awarded of being one of top-ranked UG Students cumulatively, given by the Minister of State for Military Production, Egypt, 2009.
School of Computing and Digital Media, London Metropolitan University:
- Member in AI and Data Science Research Group
- Member in Cyber Security Research Centre
- Member of the registration team in 26th ACM International Conference on Information and Knowledge Management (CIKIM), Singapore 2017.
- Member of the technical and organising committees of the 1st International Conference for Computing & Informatics (ICCI), Egypt 2012.
- Exhibitor in “Silver-IT-Fest” and similar IT exhibitions, introducing assistive tools for the elderly, Singapore 2015.
- A member of organising team in Made in Egypt (MIE) competition, organised by IEEE Egypt Gold, 2011.
- A member of organising team in Imagine Cup competition organised by Microsoft, Egypt 2009.
Dr. Mona Abdelgayed, BSc, MSc, PhD, AFHEA
Lecturer in Computer Science and Applied Computing
School of Computing and Digital Media,
London Metropolitan University.
Contact via Email: m.abdelgayed@londonmet.ac.uk
