Biography
Prof. Tan received a Ph.D. in Cognitive and Neural Systems from Boston University, a Bachelor of Science (First Class Honors) (1989) and a Master of Science (1991) in Computer and Information Science from the National University of Singapore . He is a recipient of Lim Soo Peng Book Prize, Asia Life Gold Medal, Cambridge Scholarship, Tan Kah Kee Young Inventor Award (Silver), NUS Overseas Graduates Scholarship, KRDL High Achiever Award, Optimal 2003 Gold Award, and Tan Chin Tuan Fellowship.
Prof. Tan serves on the Editorial Board of Applied Intelligence (Springer) and Journal of Database Management (IGI Publishing). He is a Senior Member of IEEE, Committee Member of IEEE Computational Intelligence Society (CIS) Singapore Chapter, Council Member of Service Science, Management and Engineering (SSME), and a Member of AAAI and ACM.
Recent Activities
Regional Organization Co-chair,
Fifth International
Conference on Advanced Data Mining and Applications (ADMA'09), Beijing,
17-19 August, 2009
Program Co-Chair,
Sixth International
Conference on Ubiquitous Computing and Intelligence (UIC'09), Brisbane,
Australia, 7 -10 July, 2009
Program Committee Member, AAMAS'2010, ACM SIGKDD'2010, AITAmI'2010, IEA/AIE'2010,
IEEE IRI'2010, PAKDD'2010, TAAI'2010, , ISNN'2010
Program Committee Member, AAAI-INT'2009, ACML'2009, ADMA'2009, IAT'2009, ICNC'2009, IEA/AIE'2009,
PAKDD'2009
Program Committee Member, AAAI Symposium'2008, ADMA'2008, DaWaK'2008, IAT'2008, ICDM’2008,
ISNN'2008,
PAKDD'2008,
PRICAI'2008, WCCI'08
Edited Book![]()

Ubiquitous Intelligence and Computing
Daqing Zhang, Marius Portmann, Ah-Hwee Tan and Jadwiga Indulska (Eds.).
Proceedings, Sixth International Conference on Ubiquitous Computing and Intelligence (UIC'09),
Lecture Notes in Computer Science, LNCS 5585, Springer-Verlag
2009, XIII, 390 p., Softcover
Data Mining for Biomedical Applications
Jinyan Li, Qiang Yang, and Ah-Hwee Tan (Eds.)
PAKDD 2006 Workshop, BioDM 2006, Singapore, April 9, 2006,
Proceedings
Lecture Notes in Bioinformatics , Vol. 3916
Recent Publications (Selected)
Xing Jiang and Ah-Hwee Tan. Learning and Inferencing in User
Ontology for Personalized Semantic Web Search. Information Sciences, Volume 179, Issue 16 (July 2009)
2794-2808.
doi:10.1016/j.ins.2009.04.005
Budhitama Subagdja and Ah-Hwee Tan.
A Self-Organizing Neural Network
Architecture for Intentional Planning Agents.
In proceedings,
Eighth International Conference on Autonomous Agents
and Multiagent Systems (AAMAS'09),
pp. 1081-1088, Budapest, Hungary, May 10-15, 2009.
![]()
Hui-Qing Chong, Ah-Hwee Tan and Gee-Wah Ng. Integrated Cognitive Architectures: A Survey. Artificial Intelligence Review, Vol. 28, No. 2 (Published Online February 2009) 103-130. doi:10.1007/s10462-009-9094-9
Tao Jiang and Ah-Hwee Tan. Learning Image-Text Associations. IEEE Transactions on Knowledge and Data Engineering, Vol. 21, No. 2 (February 2009), 161-177.
Yu-Hong Feng, Teck-Hou Teng and Ah-Hwee Tan. Modelling Situation Awareness for Context-aware Decision Support. Expert Systems with Applications, Vol. 36, No. 1 (January 2009) 455-463.
Ghim-Eng Yap, Ah-Hwee Tan and Hwee-Hwa Pang. Explaining Inferences in Bayesian Networks. Applied Intelligence, Vol. 29, No. 3 (December 2008) 263-278.
Ah-Hwee Tan, Ning Lu and Dan Xiao. Integrating Temporal Difference Methods and Self-Organizing Neural Networks for Reinforcement Learning with Delayed Evaluative Feedback. IEEE Transactions on Neural Networks, Vol. 9, No. 2 (February 2008), 230-244.
Dan Xiao and Ah-Hwee Tan. Self-Organizing Neural Architectures and Cooperative Learning in Multi-Agent Environment. IEEE Transactions on Systems, Man, and Cybernetics - Part B, Vol. 37, No. 6 (December 2007), 1567-1580.
Ghim-Eng Yap, Ah-Hwee Tan and Hwee-Hwa Pang. Discovering and Exploiting Causal Dependencies for Robust Mobile Context-Aware Recommenders. IEEE Transactions on Knowledge and Data Engineering, Vol. 19, No. 7 (July 2007) 977-992.
Tao Jiang, Ah-Hwee Tan and Ke Wang. Mining Generalized Associations of Semantic Relations from Textual Web Content. IEEE Transactions on Knowledge and Data Engineering, Vol. 19, No. 2 (February 2007) 164-179.
Ghim-Eng Yap, Ah-Hwee Tan and Hwee-Hwa Pang. Learning Causal Models for Noisy Biological Data Mining: An Application to Ovarian Cancer Detection. In proceedings, 22nd National Conference on Artificial Intelligence (AAAI), Vancouver, British Columbia, pp.354-359, 22–26 July 2007.
Ah-Hwee Tan. Direct Code Access in Self-Organizing Neural Architectures for Reinforcement Learning . In proceedings, International Joint Conference on Artificial Intelligence (IJCAI'07), pp. 1071-1076, Hyderabad, India, 6-12 January 2007.