ตัวอย่าง Resume วิทยาศาสตร์ข้อมูล (Data Science) ฉบับที่ 37

Professional Summary

I am currently interested in developing predictive models for mobility data (e.g., spatiotemporal or activity patterns of humans in a spatial area during a certain time period), where I propose models to learn and predict a mobile agent's sequential actions over time and under uncertainty using data mining and machine learning methods. I am also interested in visualizing large and complex mobility data.

Education

• Heinz College, Carnegie Mellon University, Pittsburgh, P.A.
• Visiting Ph.D. Student in Information Systems: Aug 2014 - May 2015 · Advisors: Siyuan Liu, Ramayya Krishnan · Coursework: Machine Learning, Dynamic Optimization, Mobile Intelligence & Business · heinz.cmu.edu · larc.smu.edu.sg
• Ph.D. in Information Systems: Jan 2013 - Present Advisors: Hoong Chuin Lau, Robert J. Kauffman
• Nanyang Technological University, Singapore M.Sc. in Mathematics (by Research): Jan 2011 - Jul 2012 B.Eng. in Computer Engineering: Aug 2005 - Jul 2009 · Selected Publications · Predicting Bundles of Spatial Locations from Learning Revealed Preference Data · Truc Viet Le, Siyuan Liu, Hoong Chuin Lau, & Ramayya Krishnan · 14th International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2015). · A Quantitative Analysis of Decision Process in Social Groups Using Human Trajectories · Truc Viet Le, Siyuan Liu, Hoong Chuin Lau, & Ramayya Krishnan · 13th International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2014). · An Empirical Analysis of a Network of Expertise · Truc Viet Le & Minh Thap Nguyen · 2013 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM). · Trend Analysis of Length of Stay Data via Phase-Type Models · Truc Viet Le, Chee Keong Kwoh, Kheng Hock Lee, & Eng Soon Teo (2011) · International Journal of Knowledge Discovery in Bioinformatics (IJKDB), 2(3), 37-51. · file:///Users/larcuser/Documents/workspace/cv/cv.html · ntu.edu.sg