Dr. Dongjiao Ge
Assistant Professor Ph.D./Master’s Supervisor
Email：djge@cityu.edu.mo
Tel：(853)85902857
Office address: Room T406, Tai Fung Building, City University of Macau (Taipa)
Personal Homepage：https://dongjiaoge.wixsite.com/my-site-2
Educational qualifications
09.2015-01.2020 Doctor of Philosophy in Computer Science, University of Manchester, UK
09.2012-06.2015 Master of Applied Mathematics, Sichuan University
09.2008-06.2012 Bachelor of Mathematics and Applied Mathematics, Sichuan University
Work experience
01.2023 -- Assistant Professor, School of Data Science, City University of Macau
07.2021 -- 10.2022 Lecturer in Data Science, Department of Mathematical Sciences, University of Essex, UK
03.2020 -- 06.2021 Postdoctoral Research Associate, Department of Engineering Science, University of Oxford, UK
Courses taught
MA214 Network Analysis (level 5/7) (Module director) at Department of Mathematical Sciences, University of Essex, UK
MA332 Database and data processing with SQL (level 5/7) at Department of Mathematical Sciences, University of Essex
Research direction
Intelligent computing, Machine learning, Fuzzy systems, Functional data analysis
Research and publishing
Journal Papers
Ge, D., & Zeng, X. J. (2022). Functional fuzzy system: A nonlinear regression model and its learning algorithm for function-on-function regression. IEEE Transactions on Fuzzy Systems, 30(4), pp. 956 – 967.
Ge, D., & Zeng, X.J. (2019). A self-evolving fuzzy system which learns dynamic threshold parameter by itself. IEEE Transactions on Fuzzy Systems, 27(8), pp. 1625 – 1637.
Ge, D., & Zeng, X.J. (2020). Learning data streams online — An evolving fuzzy system approach with self-learning/ adaptive thresholds. Information Sciences, 507, pp.172-184.
Ge, D., & Zeng, X.J. (2018). Learning evolving T–S fuzzy systems with both local and global accuracy–A local online optimization approach. Applied Soft Computing, 68, pp.795-810.
Hu, M., Ge, D., Telford, R., Stephen, B., & Wallom, D. C. (2021). Classification and characterization of intra-day load curves of PV and non-PV households using interpretable feature extraction and feature -based clustering. Sustainable Cities and Society, 75, p.103380.
Book Chapters
Ge, D.J., & Zeng, X.J. (2017). Modified evolving participatory learning algorithms for Takagi-Sugeno fuzzy system modeling from streaming data. In Advances in Computational Intelligence Systems (pp. 145-163). Springer, Cham.
Conferences
Ge, D., & Zeng, X. J. (2017, July). Learning evolving Mamdani fuzzy systems based on parameter optimization. In 2017 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE) (pp. 1-6). IEEE.
Ge, D. & Zeng, X.J., 2019 Sept. Self-Evolving Neuro-Fuzzy System with Applications in High Frequency Trading Predictions. International Conference on Fintech & Financial Data Science. (Oral Presentation)
Academic Awards
09.2015 President's Doctoral Scholar (PDS) Award holder, University of Manchester, UK
06.2020 2019 “National Scholarship for Outstanding Self-financed International Students”, China Scholarship Council (CSC, China)
Scientific research project experience
04.2022-07.2022: Demand Response to the Rescue: Controlling the Uncertainty of Green Energy Resources, PVC (Research) Strategic Fund, University of Essex, UK, (GBP 7,700), Project PI
Professional association
2020-present IEEE member
