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Personal profile

Personal profile

Chinese Name : 林惠民

Variants : Lam, W. M. W.

Dr. LAM Wai Man Winnie is currently a Lecturer at the Department of Mathematics and Information Technology at The Education University of Hong Kong (EdUHK). She has obtained her PhD in Data Mining and B.Sc. in Information Technology from The Hong Kong Polytechnic University (PolyU).

Before joining EdUHK, she was a programme leader and lecturer at HKU SPACE Community College, a project associate at PolyU, and a data scientist in many companies including SPSS, MTR Corporation, Immigration Department and HK Exchanges and Clearing, etc.

Research interests

Her research interests focus on bioinformatics, data mining, e-learning, and information retrieval. She has published several journals including IEEE Transactions on NanoBioscience, IEEE Transactions on Biomedical Engineering, Journal of Bioinformatics and Computational Biology, etc. and conferences including IEEE BIBM, IEEE BIBE, IEEE GrC, etc.

Professional information

Scopus ID : 57205196506

Fingerprint Dive into the research topics where Wai Man Winnie LAM is active. These topic labels come from the works of this person. Together they form a unique fingerprint.

Bioinformatics Engineering & Materials Science
Mobile devices Engineering & Materials Science
Cryptography Engineering & Materials Science
Biomedical engineering Engineering & Materials Science
Information retrieval Engineering & Materials Science
Application programs Engineering & Materials Science
Data mining Engineering & Materials Science
Cloud computing Engineering & Materials Science

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Research Outputs 2018 2018

Performance analysis of searchable symmetric encryption schemes on mobile devices

LIU, D. Y. W., TONG, C. T. & LAM, W. M. W., 2018, Network and system security: 12th International Conference, NSS 2018, Hong Kong, China, August 27-29, 2018, Proceedings. AU, M. H., YIU, S. M., LI, J., LUO, X., WANG, C., CASTIGLIONE, A. & KLUCZNIAK, K. (eds.). Cham: Springer, p. 80-94

Research output: Chapter in Book/Report/Conference proceedingChapter

Mobile devices
Application programs
Cloud computing
Data storage equipment