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| DAI Hanbo PhD in Information Systems School of Information Systems |
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Hanbo has resumed his faculty job at Hubei University in China, where he served as a lecturer before pursuing Ph.D in SMU. He received his Masters of Science in Computer Science from Asian Institute of Technology under the scholarship awarded by the China Scholarship Council.
Hanbo has been working on anomaly/outlier detection and social network analysis in the field of Data Mining. His work has been published in leading Data Mining conferences including IEEE International Conference on Data Mining (ICDM), SIAM International Conference on Data Mining (SDM) and ACM International Conference on Information and Knowledge Management (CIKM).
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| YAN Qiang PhD in Information Systems School of Information Systems |
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Qiang's research interests focus on discovering realistic security and privacy threats in real-world information systems and designing practical and effective solutions to mitigate or resolve these threats. His research covers various topics including human factors in usable security systems design, mobile security and privacy, privacy issues in social network, Radio Frequency Identification (RFID) security, and systems security.
Qiang won the Distinguished Paper Award at the 19th Annual Network & Distributed System Security Symposium (NDSS 2012) for his work on identifying the inherent limitations of designing leakage-resilient password systems. He was also awarded the inaugural SMU Presidential Doctoral Fellowship in 2013 (January to July 2013) for his recent work on discovering and analysing the security vulnerabilities of Apple's iOS platform.
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| NG Wee Seng PhD in Business (Finance) Lee Kong Chian School of Business |
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Wee Seng obtained a first class honours degree in Mathematics and a master degree in Statistics from the National University of Singapore before he enrolled in the PhD in Business (Finance) programme. Currently an instructor at the National University of Singapore, Wee Seng will be appointed as a Lecturer in Mathematics and Quantitative Finance from January 2014.
Wee Seng’s research interests include mutual fund performance, mutual fund ratings and mutual fund corporate governance. His current research projects include examining the predictive relation between corporate governance rating and mutual fund performance, and analysing the persistence of mutual fund ratings.
More information on other SMU PhD graduates can be found here.