Dr Man Lau
- School of Software and Electrical Engineering
- Department of Computer Science and Software Engineering
- EN510a Hawthorn campus
Biography
Dr Man Lau received his BSc(Hons) from The University of Hong Kong and PhD from The University of Melbourne. He joined Swinburne University of Technology in 2000. He received 2 ARC DP research grants in 2005 (a 3-year ARC DP project) and 2007 (a 5-year ARC DP project). His currently research interests are on Data Mining and Testing Prediction Models. Currently, he is working on a Big Data project on testing Optimal Oil Drilling Prediction Models based on past 15+ years of oil drilling data.
My ORCID: https://orcid.org/0000-0002-2271-6259
Research interests
Software Analysis and Testing; Software Engineering
PhD candidate and honours supervision
Higher degrees by research
Accredited to supervise Masters & Doctoral students as Principal Supervisor.
PhD topics and outlines
Testing of Optimal Prediction Software for Oil-Drilling Industries: Predicting an optimal time and resources for oil drilling depends on many natural elements and system parameters in the drilling such as casting, drill string, drill collar, mud circulation and bit factors. The project will investigate and analyse the existing oil drilling data to help designing test cases to test the drilling time prediction software.
Fields of Research
- Software Engineering - 461200
Teaching areas
Software Analysis and Testing;Software Engineering
Publications
Also published as: Lau, Man; Lau, M.; Fai Lau, Man; Lau, M. F.; Lau, Man F.; Lau, Man Fai
This publication listing is provided by Swinburne Research Bank. If you are the owner of this profile, you can update your publications using our online form.
Recent research grants awarded
- 2022: INT - 1166 Connected Care Project - Digital Solution (KING FUNG LIN) *; South Australian Health and Research institute Limited Fund Scheme
* Chief Investigator
Recent media
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