Educational background:

Doctor of Philosophy, Department of Computer Science, University of Illinois at Urbana-Champaign, August 1991.
Master of Science, Department of Computer Science, University of Illinois at Urbana-Champaign, December 1986.
Bachelor of Arts, Department of Mathematics
Pomona College, Claremont, California, May 1981

Positions at AIT:

Professor and Vice President - Academic Affairs

Previous Academic Positions:

Associate Professor, May 2000 – April 2005, Computer Science and Information Management, Asian Institute of Technology
Associate Professor (with tenure), 1996 – 2002.
Department of Electrical Engineering and Computer Science, University of Wisconsin-Milwaukee, Milwaukee, Wisconsin
Assistant Professor, 1991 – 1996., Department of Electrical Engineering and Computer Science, University of Wisconsin-Milwaukee, Milwaukee, Wisconsin
Computer Scientist, Summer 1987. Advanced Decision Systems, Mountain View, California
Research Associate, October 1983 – August 1984, and Summer 1985. Technical University of Munich, Munich, Germany
Systems Engineer, August 1982 - October 1983. Compatible Information Systems Division, Nixdorf Computer AG, Munich, Germany
Software Engineer, November 1981 – May 1982. Atmospheric Sciences Center, Desert Research Institute, Reno, Nevada

Teaching interests:

Research Interests:

Decision-Theoretic Problem Solving
Probabilistic Reasoning
Modeling of User Preferences
Electronic Commerce
Medical Decision Making

 

Selected Journal papers:

P. Haddawy, C. Cheng, N. Rujikeadkumjorn, K. Dhananaiyapergse, Optimizing Ad Hoc Trade in a Commercial Barter Trade Exchange. To appear in Electronic Commerce Research and Applications, 2005.

S. Suebnukarn and P. Haddawy, A Bayesian Approach to Generating Tutorial Hints in a Collaborative Medical Problem-Based Learning System. To appear in Artificial Intelligence in Medicine, 2005. (Special Issue on Intelligent Medical Training Systems.)

V. Ha and P. Haddawy. Similarity of Personal Preferences: Theoretical Foundations and Empirical Analysis, Artificial Intelligence, 146(2):149-173, June 2003.

P. Haddawy, V. Ha, A. Restificar, B. Geisler, and J. Miyamoto. Preference Elicitation via Theory Refinement, Journal of Machine Learning Research, 4(2003): 317-337, July 2003.

P. Haddawy. An overview of some recent developments in Bayesian problem solving techniques, AI Magazine, 20(2):11-19, Summer 1999.

D. Yu, T. Nguyen and P. Haddawy. A Bayesian Network Model for Reliability Assessment of Power Systems, IEEE Transactions on Power Systems, 14(2):426-432, May 1999.

V. Ha, A. Doan, V.H. Vu and P. Haddawy. Geometric Foundations for Interval-Based Probabilities, Annals of Mathematics and Artificial Intelligence, 24(1-4):1-21, 1998.

P. Haddawy and S. Hanks, Utility Models for Goal-Directed Decision-Theoretic Planners, Computational Intelligence, 14(3):392-429, 1998.

L. Ngo and P. Haddawy. Answering Queries from Context-Sensitive Probabilistic Knowledge Bases, Theoretical Computer Science, 171(1-2):147-177, 1997.

CE Kahn Jr.,, LM Roberts, KA Shaffer and P Haddawy. Construction of a Bayesian network for mammographic diagnosis of breast cancer, Computers in Biology and Medicine, vol 27, pp 19-29, 1997.

P. Haddawy, J. Jacobson and C.E. Kahn Jr. BANTER: A Bayesian Network Tutoring Shell, Artificial Intelligence in Medicine, 10(2):177-200, June 1997.

L. Ngo, P. Haddawy, J. Helwig and B. Krieger, Efficient Temporal Probabilistic Reasoning Via Context-Sensitive Model Construction, Computers in Biology and Medicine (Special issue on time-oriented systems in medicine), 27(5):453-476, 1997.

P. Haddawy, A. Doan and C.E. Kahn Jr. Decision-theoretic refinement planning in medical decision making: Management of acute deep venous thrombosis, Medical Decision Making, 16(4):315-325, Oct/Dec 1996.

P. Haddawy. Focusing Attention in Anytime Decision-Theoretic Planning, SIGART Bulletin, 7(2):34-40, April 1996.

P. Haddawy. Believing Change and Changing Belief, IEEE Transaction on Systems, Man, and Cybernetics, 26(5):385-396, May 1996.

P. Haddawy. A Logic of Time, Chance, and Action for Representing Plans, Artificial Intelligence, 80(2):243-308, Feb 1996.

P. Haddawy, C.E. Kahn, Jr. and M. Butarbutar. A Bayesian Network Model for Radiological Diagnosis and Procedure Selection: Work-up of Suspected Gallbladder Disease, Medical Physics, 21(7):1185-1192, July 1994.

A.M. Frisch and P. Haddawy. Anytime Deduction for Probabilistic Logic, Artificial Intelligence, 69(1-2):93-122, Sept 1994.

P. Haddawy and L. Rendell. Planning and Decision Theory, The Knowledge Engineering Review, 5(1):15-33, 1990.

Selected Conference papers:

P. Haddawy, Matthew Dailey, Ploen Kaewruen, and Natapope Sarakhette, Anatomical Sketch Understanding: Recognizing Explicit and Implicit Structure, To appear in Proc. 10th Conference on Artificial Intelligence in Medicine, Aberdeen, UK, July 2005.

Siriwan Suebnukarn and P. Haddawy, Clinical-Reasoning Skill Acquisition through Intelligent Group Tutoring, To appear in Proc. Int’l Joint Conference on Artificial Intelligence (IJCAI-05), Edinburgh, UK, July 2005.

Siriwan Suebnukarn and P. Haddawy, Modeling Individual and Collaborative Problem Solving in Medical Problem-Based Learning, To appear in Proc. 10th Int’l Conference on User Modeling (UM’2005), Edinburgh, UK, July 2005.

P. Haddawy, C. Cheng, N. Rujikeadkumjorn, K. Dhananaiyapergse, Balanced Matching of Buyers and Sellers in E-Marketplaces: The Barter Trade Exchange Model, In Proc. Sixth International Conference on Electronic Commerce, Delft, Netherlands, Oct 2004.

P. Haddawy, K. Dhananaiyapergse, Y. Kaewpitakkun, T. Bui, Data-Driven Agent- Based Simulation of Commercial Barter Trade, In Proc. IEEE/WIC/ACM International Conference on Intelligent Agent Technologies, Beijing, Sept 2004.

Phan Thanh Duc and P. Haddawy, A Modular Approach to E-Learning Content Creation and Maintenance, In Proc. of the 3rd International Conference on Web-Based Learning, Beijing, August 2004.

Angelo Restificar and P. Haddawy, Inferring Utilities from Negotiation Actions. In Proc. International Symposium on Artificial Intelligence and Mathematics, Fort Lauderdale, Jan 2003.

Siriwan Suebnukarn and P. Haddawy, A Collaborative Intelligent Tutoring System for Medical Problem-Based Learning. In Proc. International Conference on Intelligent User Interfaces, Madeira, Portugal, Jan 2003.

Siriwan Suebnukarn and P. Haddawy, Intelligent Tutoring for Medical Problem- Based Learning: Student Clinical Reasoning Model. In Proc. Joint International Conference on Cognitive Science, Sydney, Australia, July 2003.

R. Manandhar and P. Haddawy, E-commerce Infrastructure in the GMS: Current State and Future Prospects. In Proc. The Regional Conference on Digital GMS, AIT, Feb 2003.

Jantima Polpinij, Chuleerat Jaruskulchai, P. Haddawy. Factors Affecting Automobile Insurance Risk in Thailand Analyzed by Bayesian Network. In Proc. InTech/VJFuzzy'2002, Hanoi, December 2002.

Jantima Polpinij, Chuleerat Jaruskulchai, P. Haddawy. A Bayesian Classification Approach to Personal Automotive Marketing Analysis. In Proc. 17th International Conference on Computers and Their Applications, San Francisco, April 2002.

V. Ha and P. Haddawy. Similarity Measures on Preference Structures Part II: Utility Functions. In Proc. Seventeenth Conference on Uncertainty in Artificial Intelligence, Seattle, August 2001.

B. Geisler, V. Ha, and P. Haddawy. Modeling User Preferences via Theory Refinement. In Proc. 2001 International Conference on Intelligent User Interfaces, Santa Fe, January 2001.

C. Theetranont and P. Haddawy, Visualizing Product Spaces for Online Shopping. In Proc. NSCEC-2001, Chiang Mai, Thailand, Nov 2001.

K. Sapmanee and P. Haddawy, Probabilistic Distance Measure Algorithm Implementation and Evaluation. In Proc. International Conference on Intelligent Technologies, Bangkok, Thailand, Nov 2001. (Best Student Paper Award)

J. Polpinij, C. Jaruskulchai, and P. Haddawy, A Probabilistic Analysis of Factors Affecting Consumer Purchase of Insurance Policies. In Proc. International Conference on Intelligent Technologies, Bangkok, Thailand, Nov 2001.

P. Moemeng, S. Thammarojsakul, P. Haddawy and S. Promnart. A Bayesian network model for flood prediction in the Chaophraya river basin. In Proceeding of the 1999 National Computer Science and Engineering Conference, pp 101-107, Bangkok, Thailand, December, 1999.

T. Doan, P. Haddawy, T. Nguyen and D. Seetharam. A hybrid Bayesian network modeling environment, In Proceeding of the 1999 National Computer Science and Engineering Conference, pp 62-66, Bangkok, Thailand, December, 1999.

S. Sundaresh, P. Haddawy, T.Z. Leong, and K.L. Poh. Multi-level multi-perspective reasoning, In Proceeding of the 1999 National Computer Science and Engineering Conference, Bangkok, Thailand, December, 1999.

S. Sundaresh, T.Y. Leong ,and P. Haddawy. Supporting Multi-level multi-perspective dynamic decision making in medicine, In Proceedings of the AMIA 1999 Annual Symposium, pp 161-165, Washington, DC, November 1999.

H. Nguyen and P. Haddawy. The Decision-Theoretic Interactive Video Advisor, In Proceedings of the Fifteenth Conference on Uncertainty in Artificial Intelligence, Stockholm, Sweden, July 1999.

V. Ha and P. Haddawy. A Hybrid Approach to Reasoning with Partially Elicited Preference Models, In Proceedings of the Fifteenth Conference on Uncertainty in Artificial Intelligence, Stockholm, Sweden, July 1999.

V. Ha and P. Haddawy. Toward Case-Based Preference Elicitation: Similarity Measures on Preference Structures, In Proceedings of the Fourteenth Conference on Uncertainty in Artificial Intelligence, pp 193-201, Madison, Wisconsin, July 1998.

L. Ngo, P. Haddawy and H. Nguyen. A Modular Structured Approach to Conditional Decision-Theoretic Planning, In Proceedings of the Fourth International Conference on Artificial Intelligence Planning Systems, pp 111-118, Pittsburgh, June 1998.

V. Ha and P. Haddawy. Geometric Foundations for Interval-Based Probabilities, In Proceedings of the 6th International Conference on Principles of Knowledge Representation and Reasoning, pp 582-593, Trento, Italy, June 1998.

V. Ha and P. Haddawy. Problem-Focused Incremental Elicitation of Multi-Attribute Utility Models, In Proceedings of the Thirteenth Conference on Uncertainty in Artificial Intelligence, pp 215-222, August 1997.

L. Ngo and P. Haddawy. A Knowledge-Based Model Construction Approach to Medical Decision Making, In Proceedings of the 20th Annual AMIA Fall Symposium (formerly SCAMC), pp 254-258, Washington, D.C., October 1996.

A. Doan and P. Haddawy. Sound Abstraction of Probabilistic Actions in the Constraint Mass Assignment Framework, In Proceedings of the Twelfth Conference on Uncertainty in Artificial Intelligence, pp 228-235, Portland, August 1996.

V. Ha and P. Haddawy. Theoretical Foundations for Abstraction-Based Probabilistic Planning, In Proceedings of the Twelfth Conference on Uncertainty in Artificial Intelligence, pp 291-298, Portland, August 1996.

L. Ngo and P. Haddawy. Probabilistic Logic Programming and Bayesian Networks, In Algorithms, Concurrency and Knowledge (Proceedings ACSC95), pp 286-300, Pathumthani, Thailand, Lecture Notes in Computer Science, vol 1023, Springer- Verlag, December 1995.

A. Doan, P. Haddawy and C.E. Kahn, Jr,. Decision-Theoretic Refinement Planning: A New Method for Clinical Decision Analysis, In Proceedings of the 19th Annual Symposium on Computer Applications in Medical Care (SCAMC95), pp 299-303, New Orleans, October 1995.

P. Haddawy, J.W. Helwig, L. Ngo and R. Krieger. Clinical Simulation using Context- Sensitive Temporal Probability Models, In Proceedings of the 19th Annual Symposium on Computer Applications in Medical Care (SCAMC95), pp 203-207, New Orleans, October 1995.

C.E. Kahn, Jr, L. Roberts, K. Wang, D. Jenks and P. Haddawy. Preliminary Investigation of a Bayesian Network for Mammographic Diagnosis of Breast Cancer, In Proceedings of the 19th Annual Symposium on Computer Applications in Medical Care (SCAMC95), pp 208-212, New Orleans, October 1995.

L. Ngo and P. Haddawy and J. Helwig. A Theoretical Framework for Context- Sensitive Temporal Probability Model Construction with Application to Plan Projection, In Proceedings of the Eleventh Conference on Uncertainty in Artificial Intelligence, pp 419-426, August 1995.

P. Haddawy, A. Doan and R. Goodwin. Efficient Decision-Theoretic Planning: Techniques and Empirical Analysis, In Proceedings of the Eleventh Conference on Uncertainty in Artificial Intelligence, pp 229-236, Montreal, August 1995.

A. Doan and P. Haddawy. Sequential Abstraction of Probabilistic Operators, In Proceedings MAICSS'95, pp 93-97, Carbondale, IL, April 1995.

L.M. Roberts, P. Haddawy and C.E. Kahn, Jr. MammoNet: A Bayesian Network for Diagnosing Breast Cancer, In Proceedings MAICSS'95, pp 118-125, Carbondale, IL, April 1995.

P. Haddawy, J. Jacobson and C.E. Kahn, Jr. Generating Explanations and Tutorial Problems from Bayesian Networks, In Proceedings of the 18th Annual Symposium on Computer Applications in Medical Care (SCAMC94), pp 770-774, Washington, D.C., November 1994.

C.E. Kahn, Jr. and P. Haddawy. Optimizing Diagnostic and Therapeutic Strategies Using Decision-Theoretic Planning: Principles and Applications, In Proceedings of the Eighth World Congress on Medical Informatics (Medinfo'95), pp 894-898, Vancouver, B.C., July 1995.

P. Haddawy, J. Jacobson and C.E. Kahn, Jr. An Educational Tool for High-Level Interaction with Bayesian Networks, In Proceedings of the Sixth IEEE International Conference on Tools with Artificial Intelligence, pp 578-584, New Orleans, November 1994.

P. Haddawy and A.H. Doan. Abstracting Probabilistic Actions, In Proceedings of the Tenth Conference on Uncertainty in Artificial Intelligence, pp 270-277, Seattle, July 1994.

P. Haddawy. Generating Bayesian Networks from Probability Logic Knowledge Bases, In Proceedings of the Tenth Conference on Uncertainty in Artificial Intelligence, pp 262-269, Seattle, July 1994.

P. Haddawy and M. Suwandi. Decision-Theoretic Refinement Planning using Inheritance Abstraction, In Proceedings, Second International Conference on AI Planning Systems, pp 266-271, Chicago, June 1994.

P. Haddawy and S. Hanks. Representations for decision-theoretic planning: Utility functions for deadline goals, In Principles of Knowledge Representation and Reasoning: Proceedings of the Third International Conference, pp 71-82, Morgan Kaufmann publisher, San Mateo, CA, 1992.

P. Haddawy. A Temporal Probability Logic for Representing Actions, In Principles of Knowledge Representation and Reasoning: Proceedings of the Second International Conference, pp 196-207, Morgan Kaufmann publisher, San Mateo, CA, 1991.

P. Haddawy. Time, Chance, and Action, In Proceedings of the Sixth Conference on Uncertainty in Artificial Intelligence, pp 147-154, Boston, July 1990.

P. Haddawy and J. Kelly. ESTIMATOR: An Application of Variable Precision Logic to Building Cost Estimation, In Proceeding of the Second International Conference on Applications of AI in Engineering, pp 11-23, Boston, August 1987.

P. Haddawy. Implementation of and Experiments with a Variable Precision Logic Inference System, In Proceedings of the Fifth National Conference on Artificial Intelligence, pp 238-242, Philadelphia, August 1986.