Peter Haddawy

Director of the United Nations University International Institute for Software Technology (UNU-IIST)

Profile
Bibliography
  • Peter Haddawy
    INSTITUTE:
    UNU-IIST
    E-MAIL:
    haddawy@iist.unu.edu
    PHONE:
    +853 8504 0471
    NATIONALITY:
    United States of America

    Research Interests

    • Decision-theoretic problem solving
    • Intelligent environments for medical training
    • Preference elicitation
    • Tools for evidence-based research policy formulation

    Education

    M.Sc. & PhD, Computer Science, University of Illinois-Urbana, USA
    B.A., Mathematics, Pomona College, USA

    Biographical Statement

    Professor Peter Haddawy is Director of the United Nations University International Institute for Software Technology (UNU-IIST) in Macau. Since assuming his post in June 2010, he has led the institute in pursuit of a new mission to develop and apply Information and Communication Technology to address some of the world’s pressing problems of sustainable development.

    Professor Haddawy received a Bachelor of Arts degree in Mathematics from Pomona College in 1981 and Master of Science and PhD degrees in Computer Science from the University of Illinois-Urbana in 1986 and 1991, respectively. He was tenured Associated Professor in the Department of Electrical Engineering and Computer Science (Department of EE&CS) at the University of Wisconsin-Milwaukee (UWM), Director of the Decision Systems and Artificial Intelligence Laboratory there through 2002, and co-founder of the Medical Informatics PhD programme. Subsequently, Professor Haddawy served as Professor of Computer Science and Information Management at the Asian Institute of Technology (AIT) through May 2010 and the Vice President for Academic Affairs there from 2005 to May 2010.  During his tenure as Vice President at AIT, he promoted the concept of education for poverty reduction and established the Yunus Center at AIT.

    Professor Haddawy’s research has concentrated on the use of decision-theoretic principles to build intelligent systems and he has done pioneering work in the areas of decision-theoretic planning and probability logic.  He has received 26 research grants and published over 100 refereed papers.  Professor Haddawy is co-founder of the Global Alliance for Measuring University Performance.

  • Peer-reviewed Journal Articles

    • S. Suebnukarn, P. Haddawy, P. Rhienmora, P. Jittimanee, P. Viratket. Augmented Kinematic Feedback from Haptic Virtual Reality for Dental Skill Acquisition. To appear in Journal of Dental Education, 2010.
    • P. Rhienmora, P. Haddawy, P. Khanal, S. Suebnukarn & M.N. Dailey. A Virtual Reality Simulator for Teaching and Evaluating Dental Procedures. In Methods of Information in Medicine, Issue 4, pp 396-405, 2010.
    • S. Suebnukarn, P. Haddawy, P. Rhienmora, K. Gajananan. Haptic Virtual Reality for Skill Acquisition in Endodontics. In Journal of Endontics, 36(1): 53-55, 2010.
    • H. Kazi, P. Haddawy, S. Suebnukarn. Leveraging a Domain Ontology to Increase Quality of Feedback in an Intelligent Tutoring System. In Proc.10th Int’l Conf on Intelligent Tutoring Systems, Lecture Notes in Computer Science, vol 6094, Springer Verlag, pp 75-84, Pittsburgh, June 2010.
    • H. Kazi, P. Haddawy, S. Suebnukarn. Expanding the Space of Plausible Solutions in a Medical Tutoring System for Problem-Based Learning. In International Journal of Artificial Intelligence in Education (Special issue on Ill-Defined Domains), 19(3):309-334, 2009.
    • Siriwan Suebnukarn, Nattharat Phatthanasathiankul, Sunantha Sombatweroje, Phattanapon Rhienmora, Peter Haddawy. Process and Outcome Measures of Expert /Novice Performance on a Haptic Virtual Reality System. In Journal of Dentistry, 37 (9):658-665, 2009.
    • S. Suebnukarn, P. Haddawy, P. Rhienmora. A Collaborative Medical Case Authoring Environment Based on the UMLS. In Journal of Biomedical Informatics, 14(2):318-326, April 2008.
    • C. Theetranont, P. Haddawy, and D. Krairit. Integrating Visualization C. Theetranont, P. Haddawy, and D. Krairit. Integrating Visualization and Multi-Attribute Utility Theory for Online Product Selection. In International Journal of Information Technology and Decision Making, 6(4):723-750, Dec 2007.
    • H. Kazi, P. Haddawy, S. Suebnukarn. Towards Human-Like Robustness in an Intelligent Tutoring System. In Proc. 8th Int’l Conf on Cognitive Modeling (ICCM), pp 247-252, Ann Arbor, July 2007.
    • P. Haddawy, Matthew N. Dailey, Ploen Kaewruen, Natapope Sarakhette, Le Hong Hai. Anatomical Sketch Understanding: Recognizing Explicit and Implicit Structure. In Artificial Intelligence in Medicine, 39(2):165-177, Feb 2007.
    • S. Suebnukarn and P. Haddawy. Modeling Individual and Collaborative Problem-Solving in Medical Problem-Based Learning. In User Modeling and User-Adapted Interaction, 16(3-4):211-248, Sept 2006.
    • S. Suebnukarn and P. Haddawy. A Bayesian Approach to Generating Tutorial Hints in a Collaborative Medical Problem-Based Learning System. In Artificial Intelligence in Medicine, 38(1):5-24 , Sept 2006.
    • P. Haddawy, C. Cheng, N. Rujikeadkumjorn, K. Dhananaiyapergse. Optimizing Ad Hoc Trade in a Commercial Barter Trade Exchange. In Electronic Commerce Research and Applications, 4(4):299-314, Winter 2005.
    • 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.
    • S. Sundaresh, T.Y. Leong and P. Haddawy. Supporting Multi-level multi-perspective dynamic decision making in medicine. Proceedings of the AMIA 1999 Annual Symposium, pp 161-165, Washington, DC, November 1999.
    • V. Ha and P. Haddawy. Toward Case-Based Preference Elicitation: Similarity Measures on Preference Structures. Proceedings UAI98, pp 193-201, July 1998.
    • L. Ngo, P. Haddawy and H. Nguyen. A Modular Structured Approach to Conditional Decision-Theoretic Planning. Proceedings AIPS98, pp 111-118, June 1998.
    • H. Nguyen and P. Haddawy. The Decision-Theoretic Video Advisor. Working Notes of the AAAI-98 Workshop on Recommender Systems, pp 77-80, July 1998.
    • V. Ha and P. Haddawy. Problem-Focused Incremental Elicitation of Multi-Attribute Utility Models. Proceedings UAI97, pp 215-222, Aug 1997.
    • P. Haddawy, J. Jacobson and Charles E. Kahn, Jr. BANTER: A Bayesian Network Tutoring Shell. Artificial Intelligence in Medicine, 10(2), 177-200, 1997.
    • L. Ngo and P. Haddawy. Answering Queries from Context-Sensitive Probabilistic Knowledge Bases. Theoretical Computer Science (special issue on uncertainty in databases and deductive systems), 171:147-177, 1997.
    • A. Doan and P. Haddawy. Sound Abstraction of Probabilistic Actions in the Constraint Mass Assignment Framework. Proceedings UAI96, pp 228-235, Aug 1996.
    • 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, vol. 7, no. 2, 1996.
    • L. Ngo and P. Haddawy. Probabilistic Logic Programming and Bayesian Networks. Algorithms, Concurrency and Knowledge (Proceedings ACSC95), Springer-Verlag, Lecture Notes in Computer Science #1023, pp 286-300, Dec 1995.
    • P. Haddawy. Believing Change and Changing Belief. IEEE Transactions on Systems, Man, and Cybernetics, Special issue on higher-order uncertainty, 26(5):385-396, May 1996.
    • L. Ngo, P. Haddawy and J. Helwig. A Theoretical Framework for Context-Sensitive Temporal Probability Model Construction with Application to Plan Projection. Proceedings UAI95, pages 419-426, August 1995.
    • P. Haddawy, A. Doan and R. Goodwin. Efficient Decision-Theoretic Planning: Techniques and Empirical Analysis. Proceedings UAI95, pages 229-236, August 1995.
    • A.M. Frisch and P. Haddawy. Anytime Deduction for Probabilistic Logic. Artificial Intelligence, 69(1-2), Sept 1994.

    Other Publications (Conference Proceedings, etc)

    • H. Kazi, P. Haddawy, S. Suebnukarn. METEOR: Medical Tutor Employing Ontology for Robustness, To appear in Proc. of the 2011 Int’l Conf on Intelligent User Interfaces, Stanford Univ, Palo Alto, CA, Feb 2011.
    • P. Rhienmora, K. Gajananan, P. Haddawy, M.N. Dailey, S. Suebnukarn. Augmented Reality Haptics System for Dental Surgical Skills Training. To appear in Proceedings of the 17th ACM Symposium on Virtual Reality Software and Technology, Hong Kong, November 2010
    • P. Haddawy and S. Suebnukarn. Intelligent Clinical Training Systems. In Methods of Information in Medicine, Issue 4, pp 388-389, 2010.
    • Suebnukarn S, Haddawy P, Rhienmora P, Gajananan K. Haptic virtual reality for clinical skill acquisition. In Proceedings of the 20th South East Asia Association for Dental Education (SEAADE) Annual Scientific Meeting, Chiang Mai, Thailand, 23-24 Nov 2009 (Best paper award).
    • R. Waranusast, P. Haddawy, M. Dailey. Segmentation of Text and Non-Text in On-line Handwritten Patient Record Based on Spatio-temporal Analysis. In Proc. 12th Conf on Artificial Intelligence in Medicine, Verona, Italy, July 2009.
    • P. Rhienmora, P. Haddawy, S. Suebnukarn, M. Dailey. Providing Objective Feedback on Skill Assessment in a Dental Surgical Training Simulator. In Proc. 12th Conf on Artificial Intelligence in Medicine, Verona, Italy, July 2009.
    • P. Rhienmora, P. Haddawy, S. Suebnukarn, M. Dailey. A VR Environment for Assessing Dental Surgical Expertise. In Prof. 14th Intl Conf on Artificial Intelligence in Education, Brighton, July 2009.
    • H. Kazi, P. Haddawy, S. Suebnukarn. Expanding the Plausible Solution Space for Robustness in an Intelligent Tutoring System. In Proc. 9th Int’l Conf on Intelligent Tutoring Systems (ITS’08), Montreal, June 2008.
    • Hameedullah Kazi, Peter Haddawy, Siriwan Suebnukarn. Enriching Solution Space for Robustness in an Intelligent Tutoring System. 15th Int’l Conf on Computers in Education, Hiroshima, Nov 2007.
    • Nguyen Thai Nghe, Paul Janecek, and Peter Haddawy. A Comparative Analysis of Techniques for Predicting Academic Performance. 37th ASEE/IEEE Frontiers in Education Conference, October 10 – 13, 2007, Milwaukee, WI.
    • Nguyen Thi Ngoc Hien and P. Haddawy. A Decision Support System for Evaluating International Student Applications. In Proc. 37th ASEE/IEEE Frontiers in Education Conf, Milwaukee, Oct 2007.
    • S. Suebnukarn and P. Haddawy. COMET: A collaborative intelligent tutoring system for medical problem-based learning. In IEEE Intelligent Systems, 70-77, July/Aug 2007.
    • P. Haddawy, Matthew Dailey, Ploen Kaewruen and Natapope Sarakhette. Anatomical Sketch Understanding: Recognizing Explicit and Implicit Structure. Proc. 10th Conf. on Artificial Intelligence in Medicine (AIME05), Aberdeen, Scottland, July 2005. Copyright Springer-Verlag.
    • Siriwan Suebnukarn and P. Haddawy. Clinical-Reasoning Skill Acquisition through Intelligent Group Tutoring. Proc. 19th Int’l Joint Conf. on Artificial Intelligence (IJCAI05), Edinburgh, Scottland, July 2005.
    • Siriwan Suebnukarn and P. Haddawy. Modeling Individual and Colllaborative Problem Solving in Medical Problem-Based Learning. Proc. 10th Int’l Conf. on User Modeling (UM2005), Edinburgh, Scottland, July 2005.
    • P. Haddawy, C. Cheng, N. Rujikeadkumjorn and K. Dhananaiyapergse. Balanced Matching of Buyers and Sellers in E-Marketplaces: The Barter Trade Exchange Model. Proc. Int’l Conf. on E-Commerce (ICEC04), Delft, Netherlands, Oct 2004.
    • P. Haddawy, K. Dhananaiyapergse, Y. Kaewpitakkun and T. Bui. Data-Driven Agent-Based Simulation of Commercial Barter Trade. Proc. Int’l Conf. on Intelligent Agent Technology (IAT 2004), Beijing, China, Sept 2004.
    • Siriwan Suebnukarn and P. Haddawy. A Collaborative Intelligent Tutoring System for Medical Problem-Based Learning. Proc. Int’l Conf. on Intelligent User Interfaces, Madeira, Portugal, January 2004.
    • Angelo Restificar and P. Haddawy. Inferring Implicit Preferences from Negotiation Actions. Proc. Int’l Symposium on Artificial Intelligence and Mathematics, Fort Lauderdale, January 2004.
    • P. Haddawy, Namthip Rujikeadkumjorn and Christine Cheng. Balanced Matching of Buyers and Sellers in E-Marketplaces: The Barter Trade Exchange Model. Technical Report #AIT-CSIM-TR-26-12-03, Asian Institute of Technology, December 2003.
    • V. Ha and P. Haddawy. Similarity Measures on Preference Structures Part II: Utility Functions. Proc. Seventeenth Conference on Uncertainty in Artificial Intelligence, Seattle, August 2001.
    • B. Geisler, V. Ha and P. Haddawy. Modeling User Preferences via Theory Refinement. Proc. 2001 International Conference on Intelligent User Interfaces, Santa Fe, January 2001.
    • K. Sapmanee and P. Haddawy. Probabilistic Distance Measure Algorithm Implementation and Evaluation. Proc. International Conference on Intelligent Technologies, Bangkok, Thailand, Nov 2001.
    • H. Nguyen and P. Haddawy. The Decision-Theoretic Interactive Video Advisor. 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. Proceedings of the Fifteenth Conference on Uncertainty in Artificial Intelligence, Stockholm, Sweden, July 1999.
    • P. Haddawy. An Overview of Some Recent Developments in Bayesian Problem Solving Techniques. AI Magazine, Introduction to special issue on Uncertainty in AI, Spring 1999.
    • V. Ha and P. Haddawy. Geometric Foundations for Interval-Based Probabilities. Proceedings KR98, pp 582-593, June 1998.
    • L. Ngo and P. Haddawy. A Knowledge-Based Model Construction Approach to Medical Decision Making. Proceedings of the AMIA Fall Symposium, Oct 1996.
    • J. Helwig and P. Haddawy. An Abstraction-Based Approach to Interleaving Planning and Execution in Partially-Observable Domains. Working Notes of the AAAI Fall Symposium on Plan Execution, Nov 1996.
    • P. Haddawy, J. Helwig, L. Ngo and R. Krieger. Clinical Simulation using Context-Sensitive Temporal Probability Models. Proceedings SCAMC95, Oct 1995.
    • A. Doan, P. Haddawy and C.E. Kahn, Jr. Decision-Theoretic Refinement Planning: A New Method for Clinical Decision Analysis. Proceedings SCAMC95, Oct 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. Proceedings SCAMC95, Oct 1995.
    • P. Haddawy. Focusing Attention in Anytime Decision-Theoretic Planning. Working Notes of the IJCAI Workshop on Anytime Algorithms and Deliberation Scheduling, August, 1995.
    • L. Roberts, C.E. Kahn and P. Haddawy. Development of a Bayesian Network for Diagnosis of Breast Cancer. Working Notes of the IJCAI Workshop on Building Probabilistic Networks, August, 1995.
    • A. Doan and P. Haddawy. Decision-Theoretic Refinement Planning: Principles and Application. TR 95-01-01, February, 1995.
    • P. Haddawy, A. Doan and C.E. Kahn. Decision-Theoretic Refinement Planning in Medical Decision Making: Management of Acute Deep Venous Thrombosis. TR 94-11-01, November, 1994.
    • C.E. Kahn and P. Haddawy. Optimizing Diagnostic and Therapeutic Strategies Using Decision-Theoretic Planning: Principles and Application. Proceedings of the Eighth World Congress on Medical Informatics (Medinfo’95), July, 1995.
    • L. Ngo and P. Haddawy. Representing Iterative Loops for Decision-Theoretic Planning (Preliminary Report). Working Notes of the AAAI Spring Symposium on Extending Theories of Action, March, 1995.
    • A. Doan and P. Haddawy. Generating Macro Operators for Decision-Theoretic Planning. Working Notes of the AAAI Spring Symposium on Extending Theories of Action, March, 1995.
    • P. Haddawy and A. Doan. Abstracting Probabilistic Actions. Proceedings of the Tenth Conference on Uncertainty in Artificial Intelligence, July, 1994.
    • P. Haddawy. Generating Bayesian Networks from Probability Logic Knowledge Bases. Proceedings of the Tenth Conference on Uncertainty in Artificial Intelligence, July, 1994.
    • P. Haddawy and M. Suwandi. Decision-Theoretic Refinement Planning using Inheritance Abstraction. Proceedings of the Second International Conference on AI Planning Systems, June, 1994.