Projects per year
Personal profile
Personal profile
Professor Angelos Stefanidis is the founding Dean of School of AI and Advanced Computing and the School of Internet of Things at XJTLU Entrepreneur College (Taicang). He leads the strategic development of the Schools.He is the former Head of Department of Computing Informatics at Bournemouth University (BU), UK. As Head of Department at BU, he was responsible for over 50 academic staff and 1,200 students. Prior to that, Angelos was the Associate Dean for Global Engagement at BU, providing strategic leadership and operational support to large international academic partnership projects in China, South-East Asia, the Middle East, India, and Europe. Additionally, he has been the Director of Continuing Professional Development at the University of Westminster, UK, where he managed a large portfolio of accredited IT training programmes for industry. Before moving to BU, Angelos served as the Head of International Development in the Faculty of Science and Technology at the University of South Wales, UK.Angelos received his PhD in Information Systems from Loughborough University, UK. He obtained his MSc Information Systems Design and BSc Software Engineering from the University of Westminster, London, UK. He is also a Registered PRINCE2 Practitioner and holds a Postgraduate Certificate in Higher Education (PGCert HE).Part of Angelos’ research interests lie in the educational aspects of computer science, focusing on the issue of the alignment of academic curricula with industry needs. In recent years, his interests have also included aspects of social computing, which encompass digital addiction and online gambling. More recently, he worked on developing a new research centre focusing on AI for Digital Health, combining expertise in data science, digital health, and AI.He is a member of the European Association of International Education (EAIE) Professional Development Committee, Member of the British Computer Society and a Chartered IT Professional, Fellow of the Higher Education Academy (UK), and Member of the Association for Computing Machinery (ACM).
Research interests
Part of Angelos’ research interests lie in the educational aspects of computer science, focusing on the issue of the alignment of academic curricula with industry needs. In recent years, his interests have also included aspects of social computing, which encompass digital addiction and online gambling. More recently, he worked on developing a new research centre focusing on AI for Digital Health, combining expertise in data science, digital health, and AI.
Experience
Head of Computing Informatics, Faculty of Science and Technology, Bournemouth University, UK, 2018-20
Associate Dean (Global Engagement), Faculty of Science and Technology, Bournemouth University, UK, 2015-19
Head of International Development, Faculty of Science and Technology, University of South Wales, UK, 2010-15
Director of CPD, School of Computer Science, University of Westminster, 2003-10
Senior Lecturer in Computer Science, School of Computer Science, University of Westminster, UK, 1998-03
Lecturer in Computer Science, School of Computer Science, University of Westminster, UK, 1996-98
Awards and honours
Led the winning institutional submission to the European Association for International Education (EAIE), which resulted in Bournemouth University being named winner of the 2018 EAIE Award for Innovation in Internationalisation.
Education/Academic qualification
PhD, Information Systems, Loughborough University, UK, 2014
Postgraduate Certificate in Higher Education (PGCert HE), University of Westminster, UK, 2008
MSc Information Systems Design, University of Westminster, UK, 1995
BSc (Hons) Software Engineering, University of Westminster, UK, 1994
Person Types
- Staff
Fingerprint
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Collaborations and top research areas from the last five years
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Tradable-Resource-Centric Open Architecture enabling Crossover IoT Services
Dong, Y., Stefanidis, A., Yue, Y. & R., V.
1/09/22 → 31/08/25
Project: Internal Research Project
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AI Innovation Platform
Lim, E. G., Yue, Y., Man, K. L., Ma, F., Wang, Q., Xiao, J., Meng, J., Liang, H. N., Zhao, C., Ma, J., Jin, X., Wang, X., Yang, X., Chen, M., Guan, S., Xue, F., Zhang, C., Stefanidis, A., Sun, Q. & Xu, D.
1/09/22 → 30/08/24
Project: Governmental Research Project
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Environmental Sustainability through Optimal Energy Consumption using IoT based edge-computing and image processing
Stefanidis, A., Su, J., Hasan, M. M., Master/UG & Mahmood, A.
1/03/22 → 31/08/24
Project: Internal Research Project
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Adaptive knowledge transfer for class incremental learning
Feng, Z., Zhou, M., Gao, Z., Stefanidis, A., Su, J., Dang, K. & Li, C., Jul 2024, In: Pattern Recognition Letters. 183, p. 165-171 7 p.Research output: Contribution to journal › Article › peer-review
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Atrial Septal Defect Detection in Children Based on Ultrasound Video Using Multiple Instances Learning
Liu, Y., Huang, Q., Han, X., Liang, T., Zhang, Z., Lu, X., Dong, B., Yuan, J., Wang, Y., Hu, M., Wang, J., Stefanidis, A., Su, J., Chen, J., Li, Q. & Zhang, Y., 12 Feb 2024, In: Journal of Imaging Informatics in Medicine. 37, 3, p. 965-975 11 p.Research output: Contribution to journal › Article › peer-review
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Combining Transformer based Deep Reinforcement Learning with Black-Litterman Model for Portfolio Optimization
Jiang, Z., Su, J., Sun, R. & Stefanidis, A., May 2024, (Accepted/In press) In: Neural Computing and Applications. 36, 32, p. 20111-20146 36 p.Research output: Contribution to journal › Article › peer-review
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Multi-Stage Transformer Fusion for Efficient Intracranial Hemorrhage Subtype Classification
Wang, Y., Stefanidis, A. & Liu, J., 2024, 2024 IEEE International Symposium on Biomedical Imaging (ISBI). IEEE Computer Society, (Proceedings - International Symposium on Biomedical Imaging).Research output: Chapter in Book or Report/Conference proceeding › Conference Proceeding › peer-review
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Optimal Settings of Cryptocurrency Trading Pairs
Zhang, D., Zhou, Y., Liu, H., Hu, B., Zhang, W. & Stefanidis, A., 2024, Proceedings - 2024 IEEE International Conference on Decentralized Applications and Infrastructures, DAPPS 2024. Institute of Electrical and Electronics Engineers Inc., p. 19-24 6 p. (Proceedings - 2024 IEEE International Conference on Decentralized Applications and Infrastructures, DAPPS 2024).Research output: Chapter in Book or Report/Conference proceeding › Conference Proceeding › peer-review
Open Access
Activities
- 1 Organising an event e.g. a conference, workshop, …
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The 15th International Conference on Cyber-Enabled Distributed Computing and Knowledge Discovery
Yinna Ye (Organiser), Eng Gee Lim (Chair), Angelos Stefanidis (Chair) & Jionglong Su (Organiser)
1 Jan 2023 → 4 Nov 2023Activity: Participating in or organising an event › Organising an event e.g. a conference, workshop, …