PhD in Computer Science (2010), University of Bordeaux, France.
Dr. Cao Tien Dung is currently Deputy Dean of School of Engineering of Tan Tao University.
Dr. Dung defended his doctoral thesis in Computer Science in 2010 at Bordeaux 1 University, France. Before that, he graduated with a master’s degree at the International Francophone Institute in 2007. Dr. Dung has many years of experience in the major when he has gone through various positions at companies such as HTL, Vietsofware and Vega Corporation.
He currently teaches the courses: Introduction to Computer Science; Data structure & Algorithms; Database systems, Management Information System and Informatics in Application.
His major research interests include:
- Service engineering;
- Data analytics;
- Machine learning;
- Conformance testing
Recent scientific publications:
 Tran Anh Tuan, Cao Tien-Dung, Truong Huu-Tram. (2019). “DIRAC: A Hybrid Approach to Customer Demographics Analysis for Advertising Campaigns.” 2019 6th NAFOSTED Conference on Information and Computer Science (NICS)
 Tien-Dung Cao, Dinh-Quyen Nguyen, Hien Duy Tran, “Exploring Message Correlation in Crowd-Based Data Using Hyper Coordinates Visualization Technique“, in Predictive Econometrics and Big Data, Studies in Computational Intelligence Vol 753, Springer.
 Tien-Dung Cao, Huu-Hanh Hoang, Hiep Xuan Huynh, Binh-Minh Nguyen, Tran-Vu Pham, Quang Tran-Minh, The-Vu Tran, Hong-Linh Truong, “IoT Services for Solving Critical Problems in Vietnam: A Research Landscape and Directions“, IEEE Internet Computing, Vol 20, No. 5, Sep/Oct 2016, pp. 76-81.
 Tien-Dung Cao, Tran-Vu Pham, Quang-Hieu Vu, Hong-Linh Truong, Duc-Hung Le, Schahram Dustdar, “MARSA: A Marketplace for Realtime Human-Sensing Data“, ACM Transactions on Internet Technology, Vol 16, No 3, May 2016, pp. 16:1 – 16:21
 Tien-Dung Cao, Hong-Linh Truong, “Analyzing and Conceptualizing Monitoring and Analytics as a Service for Grain Warehouses“, in Recent Developments in Intelligent Information and Database Systems, Studies in Computational Intelligence, Vol 642, 2016, pp. 161–171, Springer.