Ing. Jiří Vomlel, Ph.D.

Education

• 1992 - 2000, Ph.D. in Artificial Intelligence, Faculty of Electrical Engineering of the Czech Technical University in Prague
• 1987 - 1992, MSc. in Technical Cybernetics, Faculty of Electrical Engineering of the Czech Technical University in Prague
• 1983 - 1987, Gymnazium in Jihlava

Work Experience

• 1994 - 1999, 2002 - now, Department of Decision-making Theory, Institute of Information Theory and Automation of the Czech Academy of Sciences, Prague
• 2025 - now, Institute for Research and Applications of Fuzzy Modelling, University of Ostrava
• 2023 - now, Faculty of Arts, Charles University, Prague
• 2022 - now, Faculty of Informatics and Statistics, Prague University of Economics and Business, Prague
• 2006 - 2022, Faculty of Management, Prague University of Economics and Business, Jindřichův Hradec
• 1997 - 2000, 2002 - 2004, Laboratory for Intelligent Systems (LISp), Prague University of Economics and Business, Prague
• 1999 - 2002, The Research Unit of Decision Support Systems, Aalborg University, Denmark
• 1992 - 1994, Transcom Ltd. Prague

Research Interests

• Uncertainty in Artificial Intelligence
• Probabilistic Methods in Artificial Intelligence
• Probabilistic Graphical Models
• Bayesian Networks
• Machine Learning for Social Sciences
• Computerized Adaptive Testing (CAT)
• Decision Theoretic Troubleshooting
• Marginal Problem

Research Projects

• Project GA20-18407S - Verb Class Analysis Accelerator for Low-Resource Languages - RoboCorp (2020–2022)
• Project GA19-04579S - Conditional independence structures: methods of polyhedral geometry (2019–2021)
• Project GA14-13713S - Tensor Decomposition Methods and Their Applications (2014–2016)
• Project GA13-20012S - Conditional independence structures: algebraic and geometric approaches (2013–2015)
• Project GA201/09/1891 - Multidimensional Models of Uncertainty (2009–2011)
• Project GA201/08/0539 - Conditional independence structures: graphical and algebraic approaches (2008–2012)
• Project GEICC/08/E010 - The logic of causal and probabilistic reasoning in uncertain environments (2008–2011)
• Project 2C06019 - (Medical) Knowledge Acquisition and Modelling (2006–2011)
• Project 1M0572 - Data, algorithms, decision making (2005–2011)

Conferences we organize/have organized

• WUPES'25 – 13th Workshop on Uncertainty Processing, Třešť, Czechia
• WUPES'22 – 12th Workshop on Uncertainty Processing, Kutná Hora, Czechia
• ECSQARU'21 – 16th European Conference on Symbolic and Quantitative Approaches to Reasoning with Uncertainty, Prague, Czechia
• WUPES'18 – 11th Workshop on Uncertainty Processing, Třeboň, Czechia
• PGM'18 – 9th International Conference on Probabilistic Graphical Models, Prague, Czechia
• WUPES'15 – 10th Workshop on Uncertainty Processing, Monínec, Czechia
• WUPES'12 – 9th Workshop on Uncertainty Processing, Marianské Lázně, Czechia
• WUPES'09 – 8th Workshop on Uncertainty Processing, Liblice, Czechia
• PGM'06 – 3rd European Workshop on Probabilistic Graphical Models, Prague, Czechia
• WUPES'06 – 7th Workshop on Uncertainty Processing, Mikulov, Czechia
• WUPES'03 – 6th Workshop on Uncertainty Processing, Hejnice, Czechia

Current PhD students

• Martin Rod – Models of corporate architecture in the environment of public administration and their effective management and transformation based on uncertainty models
• Iván Leonardo Pérez Cabrera – Probabilistic Graphical Models for Computerized Adaptive Testing

PhD graduates

• Issam Salman – Machine learning methods for analyzing medical data
• Martin Plajner – Adaptive Testing using Bayesian Networks
• Jan Švorc – Subjective Well-Being and Individual Material Situation in Four Countries of Central Europe
• Václav Lín – On sequencing problems in the management of troubleshooting operations

Current MSc students

• Jan Makyda – Analysis of conspiracy and disinformation narratives using Bayesian networks
• Lucie Čondlová – Bayesian networks for e-learning and assessment systems in education
• Marie Melínová – Statistical analysis of polysomnographic data for the detection of sleep disorders
• Kryštof Kvis – Probabilistic graphical models for the analysis of sociological data
• Lukáš Burian – Modeling the Success of Social Media Posts

MSc graduates

• Barbora Bumbálková – Explainable artificial intelligence models for knowledge testing
• František Komanec – Web system for testing knowledge of  students
• Kristína Blašková – Machine learning methods for sleep analysis
• Amal Magauina – Application of Bayesian Networks in Adaptive Knowledge Testing of Students
• Václav Lín – Optimal Observation Strategies for Bayesian Networks

Professional activities

• Area Editor of the International Journal of Approximate Reasoning
• Program committee member of the UAI Conference since 2003
• Program committee member of the IJCAI Conference since 2018
• Program committee member of the PGM Conference since 2010
• Program committee member of the ECSQARU Conference since 2013
• Program committee member of AISTATS since 2020
• Member of the Institute Board of the Institute of Information Theory and Automation, Czech Academy of Sciences since 2022