Vladimír MUCHA

Vladimír MUCHA serves as an Associate Professor in the Department of Mathematics and Actuarial Science at the Faculty of Economic Informatics, University of Economics in Bratislava. His academic career began in 2001 as an assistant, progressing to odborný asistent (assistant professor) in 2002, and achieving associate professor status in 2015. He teaches core courses including Mathematics for Economists, Probability Theory I/II, Non-Life Insurance, Risk Theory in Insurance I/II, and Software Applications for Actuaries.

Education:

• Master's degree in Teaching of General Education Subjects (Mathematics-Physics), Faculty of Mathematics and Physics, Comenius University in Bratislava (1994-1999)
• PhD in Statistics, Faculty of Economic Informatics, University of Economics in Bratislava (2002-2007)
• Habilitation (docent) in Quantitative Methods in Economics, Faculty of Economic Informatics, University of Economics in Bratislava (2015)

Research Interests: Professor MUCHA specializes in Actuarial Science with emphases on Risk Theory in Insurance, Stochastic and Simulation Processes in Non-Life Insurance, and Software Applications for Actuaries. His work bridges theoretical modeling with practical computational implementation, particularly in claim distribution analysis, risk quantification (CVaR), and capital requirement calculations. He actively develops tools using Microsoft Excel, VBA, and R for actuarial data visualization and simulation.

Publication Trends: His 2012-2016 publications reveal a consistent focus on non-life insurance risk modeling using advanced statistical techniques. Key methodologies include Monte Carlo simulation for solvency assessment, bootstrap methods for risk measurement, extreme value theory for threshold analysis, and dynamic data visualization. His research demonstrates strong industry relevance through applications of quantitative finance principles to real-world insurance portfolio management.

Scientific Awards: No specific awards are documented in the available information.

Advising and Grants: While no student names or grant details are listed, his departmental research profile indicates active involvement in projects under the "Science and Research" section of the Department of Mathematics and Actuarial Science. His computational focus suggests participation in software-driven research initiatives.

Labs and Teams: He operates within the Department of Mathematics and Actuarial Science, which maintains external partnerships with the Slovak Society for Economic Informatics, Slovak Society of Actuaries, Slovak Chamber of Auditors, and Slovak statistical and demographic Society. The department participates in international conferences including the Managing and Modelling of Financial Risks series.