Dr Adam Zagorecki

Senior Research Fellow
Location: MH121A
E: a.zagorecki@cranfield.ac.uk
T: +44 (0) 1793 785293
Informatics and Systems Engineering


Current activities

  • Research is focused on applying decision-analytic approaches to practical applications, such as estimation of value of weather forecasts for military operations and hardware diagnosis
  • Currently involved in the Service Support Solutions: Strategy and Transition (S4T) project sponsored by EPSRC and BAE Systems. Hiscontribution relates to analysing current practices in hardware maintenance in MOD and research on exploiting health and usage monitoring systems (HUMS) data for fault prediction and predictive maintenance to achieve higher reliability and availability standards
  • Additionally he contributes some of his time to ballistic modelling and in particular shell fragmentation models

Clients

BAE Systems, RAO

Background

  • Interest in decision analysis began with an MSc in Computer Science, and was continued as doctoral study at University of Pittsburgh, USA
  • His research involved uncertainty in artificial intelligence, specialising in applications of Bayesian networks to hardware diagnosis
  • At that time interest in social systems modelling in context of emergency response systems resulted with several publications
  • Industrial experience with Intel Research, HRL Laboratories and consulting for Rockwell Scientific
  • Joined Cranfield staff as a Research Officer in November 2005
  • Has a special interest in modelling, knowledge elicitation from domain experts, ability to work well with non-technical members of research teams. Experience in agent-based simulations, especially in domain of emergency response.

Selected publications

  • A. Zagorecki and M. Druzdzel. Knowledge Engineering for Bayesian Networks: How Common are Noisy-MAX Distributions in Practice?The 17th European Conference on Artificial Intelligence (ECAI-06), August 2006
  • A. Zagorecki, M. Druzdzel , Probabilistic Independence of Causal Influences, The 3rd European Workshop on Probabilistic Graphical Models (PGM-06), September, 2006
  • A. Zagorecki, M. Voortman, M. Druzdzel,Decomposing Local Probability Distributions in Bayesian Networks for Improved Inference and Parameter Learning, The 19th International Florida Artificial Intelligence Research Symposium Conference, May 2006
  • A. Zagorecki, L. K. Comfort, K. Ko, Information, Efficiency, and Design: Organizational Performance in Emergency Environments, The18th European Meeting on Cybernetics and Systems Research, April 2006
  • L. K. Comfort, M. Dunn, D. Johnson, R. Skertich, A. Zagorecki Coordination in Complex Systems: Increasing Efficiency in Disaster Mitigation and Response, International Journal of Emergency Management (IJEM) 2004 Volume: 2 - Issue: ½
  • A. Zagorecki, M. Druzdzel,An Empirical Study of Probability Elicitation under Noisy-OR Assumption, The 17th International Florida Artificial Intelligence Research Symposium, May 2004
  • L. K. Comfort, K. Ko, A. Zagorecki, Coordination in Rapidly Evolving Disaster Response Systems The Role of Information, American Behavioral Scientist, 2004 Vol. 48(3), pp.295-313
  • L. K. Comfort, K. Ko, A. Zagorecki, Modeling Complexity in Disaster Environment, International Conference on Complex System (ICCS2004), New England Complex Systems Institute, May 2004
  • L. K. Comfort, K. Ko and A. Zagorecki, Modeling Fragility in Rapidly Evolving Disaster Response Systems, American Political Science Association 2003 Conference Aug. 2003
  • K. Ko, A. Zagorecki, L. K. Comfort Modeling Fragility in Multi-Organizational Disaster Response Systems North American Association for Computational Social and Organizational Science, June 2003