Community work
Reviewing
I have served as a reviewer for various journals including MLJ (EB member), NSAI (EB member), TNNLS, AIJ, AIC, CI, and conferences including IJCAI (PC member), ILP, and others.
Advising
I serve as a faculty adviser for the Czech Upsilon Pi Epsilon (UPE) honor society for talented CS students. I coordinate the local chapter activities, report to the US central, secure funding, etc. We won the outstanding UPE chapter award.
Supervising
I’m a co-supervisor of the following PhD students:
- Ondřej Hubáček
- Developing models for predictive sports analytics
- Matej Uhrín
- Studying optimal sports betting strategies
further, I have supervised the following Bachelor’s and Master’s students:
Topics on Deep Relational Learning
- Svatoš Martin
- thesis: Structure learning of neural-symbolic architectures. M.Sc. 2016
- Studený Jan
- thesis: Learning Relevant Reasoning Patterns with Neuro-Logic Programming. B.Sc. 2017
- Krynský Daniel
- thesis: Relational Learning with Neural Networks for Machine Translation Evaluation. M.Sc. 2018
- Briedoň Marián
- thesis: Integration of Relational and Deep Learning Frameworks. M.Sc. 2018
- Krutský Martin
- thesis: Exploring Symmetries in Deep Learning. B.Sc. 2021
- Zahradník Lukáš
- thesis: Extending Graph Neural Networks with Relational Logic. M.Sc. 2021
Topics on Predictive Sports Analytics
- Hubáček Ondřej
- thesis: Exploiting betting market inefficiencies with machine learning. M.Sc. 2017
- IT SPY 2017 best thesis - 3rd place
- thesis: Exploiting betting market inefficiencies with machine learning. M.Sc. 2017
- Syrový Zdeněk
- thesis: Analysing Efficiency of Predictive Sports Markets. B.Sc. 2020
- Pereverzeva Aleksandra
- thesis: Predicting sports matches with neural models. M.Sc. 2020
- Grim Tomáš
- thesis: Predicting Ice-Hockey Matches with Neural Networks
- Kyral Tadeáš
- thesis: A framework for large scale assessment of machine learning in sports
- Švec Ondřej
- thesis: Predicting Counter-Strike Game Outcomes with Machine Learning
Others:
- Vavřinec Matěj
- project: Efficient grounding of hierarchical logic templates
- Natalia Bogutskaya
- project: Sentiment Analysis Pipeline for Czech Language
Additionally, I served as a reviewer (opponent) for more than 20 other theses (including a PhD thesis).