Contact Dr Adam Zagorecki
Areas of expertise
- Autonomous Systems
- Computing, Simulation & Modelling
Background
Dr Adam Zagorecki holds Ph.D. in Information Science from University of Pittsburgh. In the past he held a position at the Robotics Institute, Carnegie Mellon University. His industry experience includes positions at Intel Research in Santa Clara and HRL Laboratories.
His non-technical research interests include disaster management, organisational culture and leadership. He was a researcher at the Graduate School of Public International Affairs, University of Pittsburgh.
Research opportunities
- Artificial Intelligence for Defence and Security
- Cybersecurity Leadership and Strategy
- Data Science and Machine Learning
- Simulations and Mathematical Modelling
Current activities
Dr Adam Zagorecki is a Senior Research Fellow in the Centre for Simulation and Analytics. Currently his teaching and research focus on applications of Artificial Intelligence to Defence and Security, ranging from sensor data integration to national strategies.
Clients
- Foreign & Commonwealth Development Office
Publications
Articles In Journals
- Holdsworth D & Zagorecki A. (2023). A picture paints a thousand words: supporting organizational learning in the emergency services with data visualization. The Learning Organization, 30(2)
- Holdsworth, PhD D & Zagorecki, PhD A. (2021). The SERIES model: Can a standardized approach benefit practitioner evaluation of emergency response systems?. Journal of Emergency Management, 19(3)
- Holdsworth D & Zagorecki A. (2020). The SERIES model: development of a practitioner focused emergency response evaluation system. International Journal of Emergency Services, 9(3)
- Zagorecki A, Łupińska-Dubicka A, Voortman M & Druzdzel MJ. (2016). Modeling women's menstrual cycles using PICI gates in Bayesian network. International Journal of Approximate Reasoning, 70
- Zagorecki A, Ristvej J & Klupa K. (2015). Analytics for Protecting Critical Infrastructure. Communications - Scientific letters of the University of Zilina, 17(1)
- Lovecek T, Ristvej J, Kampova K, Vaculík J, Gamboa R, .... (2013). Portal of Security and Safety Engineering as a Tool to Increase the Sustainable Development of Higher Education in Security in the European Union and Beyond. Communications - Scientific letters of the University of Zilina, 15(2)
- Zagorecki A & Druzdzel MJ. (2013). Knowledge Engineering for Bayesian Networks: How Common Are Noisy-MAX Distributions in Practice?. IEEE Transactions on Systems, Man, and Cybernetics: Systems, 43(1)
- Zagorecki AT, Johnson DEA & Ristvej J. (2013). Data mining and machine learning in the context of disaster and crisis management. International Journal of Emergency Management, 9(4)
- Zagorecki A, Orzechowski P & Hołownia K. (2013). A system for automated general medical diagnosis using Bayesian networks.. Studies in health technology and informatics, 192
- Titko M & Zagorecki A. (2013). Modelling Vulnerability of Transportation Network Using Influence Diagrams. Communications - Scientific letters of the University of Zilina, 15(4)
- Zagorecki A, Ristvej J, Comfort LK & Lovecek T. (2012). Executive Dashboard Systems for Emergency Management. Communications - Scientific letters of the University of Zilina, 14(2)
- Ristvej J & Zagorecki A. (2011). Information Systems for Crisis Management - Current Applications and Future Directions. Communications - Scientific letters of the University of Zilina, 13(2)
- Johnson D, Zagorecki A, Gelman JM & Comfort LK. (2011). Improved Situational Awareness in Emergency Management through Automated Data Analysis and Modeling. Journal of Homeland Security and Emergency Management, 8(1)
- Comfort LK, Dunn M, Johnson D, Skertich R & Zagorecki A. (2004). Coordination in complex systems: increasing efficiency in disaster mitigation and response. International Journal of Emergency Management, 2(1/2)
- Comfort LK, Ko K & Zagorecki A. (2004). Coordination in Rapidly Evolving Disaster Response Systems. American Behavioral Scientist, 48(3)
- Zagorecki A, Ko K & Comfort LK. Interorganizational Information Exchange and Efficiency: Organizational Performance in Emergency Environments. Journal of Artificial Societies and Social Simulation, 13(3)
Conference Papers
- Zagorecki A. (2015). Prediction of Methane Outbreaks in Coal Mines from Multivariate Time Series Using Random Forest
- Zagorecki A. (2015). A Versatile Approach to Classification of Multivariate Time Series Data
- Lovecek T, Ristvej J, Sventekova E, Mika VT & Zagorecki A. (2015). Currently required competencies of crisis and security managers and new tool for their acquirement — The eSEC portal
- Zagorecki A, Kozniewski M & Druzdzel MJ. (2015). An approximation of surprise index as a measure of confidence
- Zagorecki A. (2014). Feature Selection for Naive Bayesian Network Ensemble using Evolutionary Algorithms
- Zagorecki A & McNaught KR. (2013). Developing a Decision Analytic Framework Based on Influence Diagrams in Relation to Mass Evacuations
- Jelic Z, Zagorecki A, Hameed A & Nandecha S. (2013). Fragmentation and lethality analysis tool for natural and controlled fragmentation, and pre-fragmented warheads
- Zagorecki A, Hameed A & Shukla A. (2011). Lethality analysis based on a fragmentation model for naturally fragmenting shells
- McNaught KR, Zagorecki A & Garcia Perez A. (2011). Knowledge elicitation for predictive maintenance modelling with Bayesian networks
- McNaught KR & Zagorecki A. (2009). Using dynamic Bayesian networks for prognostic modelling to inform maintenance decision making
- Zagorecki A, Voortman M & Druzdzel MJ. (2006). Decomposing local probability distributions in bayesian networks for improved inference and parameter learning
- Zagorecki A & Druzdzel M. (2006). Knowledge engineering for bayesian networks: How common are Noisy-MAX distributions in practice?
- Zagorecki A & Druzdzel M. (2006). Probabilistic independence of causal influences
- Zagorecki A & Druzdzel M. (2004). An empirical study of probability elicitation under noisy-OR assumption
- Comfort LK, Ko K & Zagorecki A. (2003). Modeling information flow and fragility in rapidly evolving disaster response systems
Books
- Zagorecki A, Orzechowski P & Hołownia K. (2013). Online Diagnostic System Based on Bayesian Networks In Lecture Notes in Computer Science (7885). Springer Berlin Heidelberg.
- Hockley CJ, Zagorecki AT & Lacey LJ. (2011). Enabling Support Solutions in the Defence Environment In Ng I, Parry G, Wild PJ, McFarlane D & Tasker P (eds), Decision Engineering. Springer London.
- McNaught KR & Zagorecki AT. (2011). Modelling Techniques to Support the Adoption of Predictive Maintenance In Ng I, Parry G, McFarlane D, Wild PJ & Tasker P (eds), Decision Engineering. Springer London.
- Comfort LK, Ko K & Zagorecki A. (2005). Coordination in rapidly evolving disaster response systems: the role of information In Agent-Based Social Systems (1). Springer-Verlag.
