
Advancing Knowledge in Decision Sciences

Email: vomlel@utia.cas.cz
Phone: 266052398
Web: http://www.vomlel.cz
Research interests: Probabilistic methods in Artificial Intelligence, Bayesian networks
Publications:
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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
- 2006 - now, Faculty of Management, University of Economics, Jindřichův Hradec
- 1994 - 1999, 2002 - now, Department of Decision-making Theory, Institute of Information Theory and Automation of the Czech Academy of Sciences, Prague
- 1997 - 2000, 2002 - 2004, Laboratory for Intelligent Systems (LISp), University of Economics, 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
- 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'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
- Barbora Bumbálková – Explainable artificial intelligence models for knowledge testing
- Jan Makyda – Analysis of conspiracy and disinformation narratives using Bayesian networks
- Lucie Čondlová – Bayesian networks for e-learning and assessment systems in education
MSc graduates
- František Komanec – Webový systém pro testovaní znalostí studentů
- 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