Biography
I am a staff in the School of Computer Science at the University of ºÚÁϳԹÏÍø. My research interests centre around adaptive pervasive systems, specialising in sensor-based human activity recognition, sensor fusion, context awareness, ontologies, and uncertainty reasoning. I have a PhD degree in computer science from University College Dublin, Ireland and a BSc and MSc degree from Wuhan University, China.
Teaching
Over the years, I have been teaching the following modules:
- CS3105 - Artificial Intelligence
- CS3301 - Component Technologies
- CS5014 - Machine Learning
I also supervise projects at a variety levels across our school, and research internships funded by the ºÚÁϳԹÏÍø Research Internship Scheme, Laidlaw Research Program, and other funding bodies.
Research areas
My research is to make best use of sensor data in understanding the environment and the people, and thus in making informed decisions. Unlike classical machine learning problems, sensor data analytics is significantly challenged by the complexity in real-world environments, the inherently imperfect nature of sensing technologies, constantly changing inhabitants’ behaviours, and the unpredictability of situations or events occurring in an environment. The state-of-the-art methodology that is cultivated from short-term lab or testbed experimentation, i.e., relying on well-annotated sensor data and assuming no change in the models, is no longer suitable for long-term, large-scale, real-world deployment.
My research goal is to take sensor data analytics to the next level, by both transforming the ways in which machine learning technologies are applied and by developing new, continual-learning frameworks that can support a wider range of applications with high impacts.
PhD supervision
- Weiye Li
- Zipei Li
Selected publications
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Open access
Hassan, M., Kelsey, T., Rosales Sanabria, A. & Ye, J., 1 Feb 2026, In: Multimedia Tools and Applications. 85, 2, 42 p., 86.
Research output: Contribution to journal › Article › peer-review
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Open access
Lei, Y., Gong, X., He, S., Wang, Y., Khamis, M. & Ye, J., 13 Apr 2026, Proceedings of the 2026 CHI conference on human factors in computing systems (CHI'26). New York, NY: ACM, 23 p. 676. (CHI conference proceedings).
Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
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Open access
Rahman, F., Schiemer, M., Rosales Sanabria, A. & Ye, J., 1 May 2025, In: Pervasive and Mobile Computing. 110, 18 p., 102044.
Research output: Contribution to journal › Article › peer-review
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Open access
Schiemer, M., Schaefer, C. J., Horeni, M. J., Wang, Y. E., Ye, J. & Josh, S., 17 Feb 2025, Proceedings of The 3rd conference on lifelong learning agents. Lomonaco, V., Melacci, S., Tuytelaars, T., Chandar, S. & Pascanu, R. (eds.). PMLR, p. 198-220 (Proceedings of machine learning research; vol. 274).
Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
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He, S., Lei, Y., Zhang, Z., Sun, Y., Li, S., Zhang, C. & Ye, J., 7 Jun 2025, arXiv, p. 1-21, 21 p.
Research output: Working paper › Preprint
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Lei, Y., Zhao, M., Wang, Y., He, S., Sugano, Y., Khamis, M. & Ye, J., 28 May 2025, arXiv, p. 1-24, 24 p.
Research output: Working paper › Preprint
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Open access
Rahman, F., Rosales Sanabria, A. & Ye, J., 31 Mar 2025, In: IEEE Access. 13, p. 1-11 11 p., 10946184.
Research output: Contribution to journal › Review article › peer-review
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Open access
He, S., Lei, Y., Zhan, X., Zhang, C., Ye, J., Abu-Salma, R. & Such, J., 6 Jun 2025, arXiv, p. 1-19, 19 p.
Research output: Working paper › Preprint
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Open access
Lei, Y., Wang, Y., Buchanan, F., Zhao, M., Sugano, Y., He, S., Khamis, M. & Ye, J., 14 Feb 2025, arXiv, p. 1-27, 27 p.
Research output: Working paper › Preprint
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Open access
Lei, Y., He, S., Khamis, M. & Ye, J., 1 Feb 2024, In: ACM Computing Surveys. 56, 2, 38 p., 34.
Research output: Contribution to journal › Article › peer-review