Skip to main navigation Skip to search Skip to main content
  • Postal addressShow on map

    PQ806, Mong Man Wai Building, The Hong Kong Polytechnic University

    Hong Kong

Organisation profile

Organisation profile

The history of the Department of Computing (COMP) dates back to 1974 and it took lead in the development of computing education in the territory. With 45 years’ of success, today, COMP plays a strong role in performing world-class research and nurturing professional talents to support the society’s advancement. Its excellence is well-recognized internationally, which is evident by its high position in world university rankings. COMP was ranked 51-100 globally in Computer Science and Information Systems in the QS World University Subject Rankings in 2020. It was also ranked 40th in Computer Science in the "Best Global Universities Rankings" released by the U.S. News & World Report 2020 and 50th in Computer Science & Engineering in the “Academic Ranking of World Universities (ARWU) 2019” released by the Shanghai Jiao Tong University; alongside other globally renowned institutions.

COMP is devoted to constructing a nurturing environment and creating excellent learning experiences for students, inspiring them to unleash their potentials into becoming future’s innovators. It delivers quality research postgraduate programmes, taught master programmes and undergraduate programmes in computer science and multidisciplinary areas of IT and enterprise computing. Its programmes integrate theories, systems and applications, meeting the needs of students who wish to pursue their career in computing-related technology.

COMP has made significant contributions to research that makes impact, keeping up with the knowledge advancement and global development in computing and information technology and facilitates technology transfer. It engages in a full and extensive spectrum of six research areas, including Artificial Intelligence and Robotics; Cyber Security and Privacy; Data Science, Information Retrieval and Human Computer Interaction; Fundamentals and Softwares; Networking and Mobile Computing; and Vision, Language and Graphics. It demonstrates its research capabilities through impressive records of winning competitive research grants, high-quality publications in prestigious journals and conferences, and strong industrial collaborations.

COMP has established solid partnership with local and overseas institutions and dominant industry players with joint labs and projects of high research and development values. It also advocates social commitment and responsibility as faculty members provide service and consultancy to a great number of local and overseas professional communities, committees and organisations and students contribute their IT professional knowledge in community service projects.

Fingerprint

Dive into the research topics where Department of Computing is active. These topic labels come from the works of this organisation's members. Together they form a unique fingerprint.

Collaborations and top research areas from the last five years

Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
  • BRIDGE the Gap: Mitigating Bias Amplification in Automated Scoring of English Language Learners via Inter-group Data Augmentation

    Wang, Y., Wu, X., Huang, J., Liu, L., Zhai, X. & Liu, N., 2027, Artificial Intelligence in Education - 27th International Conference, AIED 2026, Proceedings. Blanchard, E. G., Chen, G., Chi, M. & Isotani, S. (eds.). p. 31-45 15 p. (Lecture Notes in Computer Science; vol. 16586 LNAI).

    Research output: Chapter in book / Conference proceedingConference article published in proceeding or bookAcademic researchpeer-review

  • Minimum sum set cover: Structures and algorithm

    Zhang, Z. & Cao, Y., 2027, Computing and Combinatorics - 32nd International Computing and Combinatorics Conference, COCOON 2026, Proceedings. Li, Y., Stephan, F. & Sun, X. (eds.). p. 134-148 15 p. (Lecture Notes in Computer Science; vol. 16835 LNCS).

    Research output: Chapter in book / Conference proceedingConference article published in proceeding or bookAcademic researchpeer-review

  • Accurate Ionospheric TEC Prediction With a Causal Attention Network at Northern EIA Crests

    Liu, T., Chen, W., Lu, Z., Zhang, W., Lu, Y., Wang, F., Sun, M., Nie, W., Ding, J., He, Y. & Chen, B., 18 Jun 2026, In: Journal of Geophysical Research: Machine Learning and Computation. 3, 3, e2025JH000994.

    Research output: Journal article publicationJournal articleAcademic researchpeer-review

    Open Access