Dr WONG Wai Kit (王偉傑博士)
BSc (HKU)
MPhil (HKU)
PhD (HKU)

Adjunct Associate Professor
Department of Computer Science



Dr WONG Wai Kit holds a PhD in Computer Science from The University of Hong Kong, bringing extensive experience in both academic research and the tech industry. He joined HSUHK in 2012, where he secured 3 UGC FDS grants and was honored as an EAI Senior Member (Class of 2020).

Since returning to industry in 2021, Dr Wong served as Head of Research at Ribose Limited and Head of Data Research at JKL Group, leading open-source initiatives and AI tools for cryptocurrency trading. He currently works in AI startups while actively advising InSpartan and Agentan—two AI-centric companies co-founded by [DSAI program](https://dsai.hsu.edu.hk/en/master-degree/) graduates.

Featured StartupsResearch InterestsCompetitive GrantsPublicationsAwards
TopFeatured Startups
TopResearch Interests
Database, AI, Web3, and Cybersecurity
TopCompetitive Grants
  • Semantic search on Geolexica. NGI Zero (NLnet Foundation, European Commission) (2022). EUR €100K.
  • Google Season of Doc 2021.
  • Optimizing Analytics Processing in Encrypted Database Systems. UGC/FDS14/E03/17. Jan 2018- Dec 2020. HK $557,850.
  • Secure Cloud Database System using Communication-Efficient Multi-Party Computation. UGC/FDS14/E03/16. Jan 2017- Dec 2019. HK $712,209.
  • Improving selection query processing speed of secure cloud database systems by tuple pruning on desensitized data. UGC/FDS14/E05/14. Jan 2015- Jun 2017. HK $1,053,400.
TopPublications
  • Wong, W. K., Ye, S., Liu, H., & Wang, Y. (2020). Effective mobile target searching using robots. Mobile Networks and Applications, 27(1), 249–265. https://doi.org/10.1007/s11036-020-01628-
  • Wong, W. K., Wong, K., & Yue, H. (2018). Optimizing Selection Processing for Encrypted Database using Past Result Knowledge Base. Extending Database Technology. https://doi.org/10.5441/002/edbt.2018.10
  • He, Z., Wong, W. K., Kao, B., Cheung, D. W. L., Li, R., Yiu, S. M., & Lo, E. (2015). SDB: a secure query processing system with data interoperability. Proceedings of the VLDB Endowment, 8(12), 1876–1879. https://doi.org/10.14778/2824032.2824090
  • Wong, W. K., Kao, B., Cheung, D. W. L., Li, R., & Yiu, S. M. (2014). Secure query processing with data interoperability in a cloud database environment. Proceedings of the 2014 ACM SIGMOD International Conference on Management of Data, 1395–1406. https://doi.org/10.1145/2588555.2588572
  • Zhang, Y., Wong, W.-K., Yiu, S. M., Mamoulis, N., & Cheung, D. W. (2013). Lightweight privacy-preserving peer-to-peer data integration. Proceedings of the VLDB Endowment, 6(3), 157–168. https://doi.org/10.14778/2535569.2448950
  • Wong, W. K., Mamoulis, N., & Cheung, D. W. L. (2010). Non-homogeneous generalization in privacy preserving data publishing. Proceedings of the 2010 ACM SIGMOD International Conference on Management of Data, 747–758. https://doi.org/10.1145/1807167.1807248
  • Wong, W. K., Cheung, D. W., Hung, E., Kao, B., & Mamoulis, N. (2009). An audit environment for outsourcing of frequent itemset mining. Proceedings of the VLDB Endowment, 2(1), 1162–1173. https://doi.org/10.14778/1687627.1687758
  • Wong, W. K., Cheung, D. W., Kao, B., & Mamoulis, N. (2009). Secure kNN computation on encrypted databases. Proceedings of the 2009 ACM SIGMOD International Conference on Management of Data, 139–152. https://doi.org/10.1145/1559845.1559862
  • Wong, W., Cheung, D. W.-L., Edward, E., Kao, B., & Mamoulis, N. (2007). Security in Outsourcing of Association Rule Mining, VLDB, 111–122. https://doi.org/10.5353/th_b3955890
TopAwards
  • Winner of Hedgeweek US Digital Assets Awards 2023 in ‘Best Crypto Market Neutral Performance: Veteran’ category
  • EAI Senior Members Class of 2020 (Awarded to top 1% computer scientists worldwide according to their EAI Index value in 2019)
  • Chan Kai Ming Prize in Engineering (Awarded to the final year student with the best examination result)
  • Hong Kong Olympiad in Informatics (HKOI) Bronze Award (Senior Group)