Vojtěch Aschenbrenner

Adjunct Lecturer

Department of Distributed and Dependable Systems
Faculty of Mathematics and Physics
Charles University

Malostranské náměstí 25
118 00 Praha 1
Czech Republic

E-mail: asch@d3s.mff.cuni.cz
Office: S205

Bio

• I am a computer scientist interested in Systems (recently) and Artificial Intelligence (formerly). I am just about to finish my second MS degree (now in Systems) at Charles University — I work on storage technologies with Peter Desnoyers from Northeastern University and Petr Tuma from Charles University. Before that, I was working on Software Defined Networking and Network Function Virtualization. I also teach systems related courses as an adjunct lecturer.

• I got MS with highest honors in Artificial Intelligence from CS dept. at FEE CTU. My supervisors were Ondrej Kuzelka and Filip Zelezny from IDA. I worked on Lifted Relational Neural Networks.

• Before that, I got BS with highest honors in Computer Science from FIT BUT. My supervisors were Tomas Hruska and Zdenek Prikryl from HW-SW Codesign Research Group (now CODASIP). I worked on Automated Testing System for HW-SW co-design.

• During and around my studies, I worked at Red Hat twice, working on Fedora OS and Linux networking eventually and also had my own business on deploying open-source technologies in enterprise sector.

Research

• Currently working on DIS: blockDevice over Immutable Storage. [Github]
• Operating Systems, Storage and Computer Networks. (Recently)
• Artificial Intelligence and Machine Learning. (Formerly)
• Google Scholar
• DBLP

Publications

• Journal and Conference Papers:

  • Paper from Master Thesis Submitted to OSDI ‘21. [Github]

  • Lifted relational neural networks: Efficient learning of latent relational structures. Gustav Sourek, Vojtech Aschenbrenner, Filip Zelezny, Steven Schockaert, Ondrej Kuzelka. JAIR 2018.

• Lightly Refereed Papers:

  • LSDN — Manage complex (virtual) networks in cloud environment with Linux kernel facilities. Vojtech Aschenbrenner, Roman Kapl, Jan Matejek, Adam Vyskovsky. NetDev 2018. [Github]

  • Lifted relational neural networks. Gustav Sourek, Vojtech Aschenbrenner, Filip Zelezny, Ondrej Kuzelka. arXiv 2015.

  • Lifted relational neural networks. Gustav Sourek, Vojtech Aschenbrenner, Filip Zelezny, Ondrej Kuzelka. CoCo @ NIPS 2015.

  • Horn-clause neural networks. Vojtech Aschenbrenner, Ondrej Kuzelka. SML 2014.

  • Deep Relational Learning with Predicate Invention. Vojtech Aschenbrenner. Master thesis 2013.

Teaching

• Summer Semester 2020/2021
  • Teaching leave.
• Winter Semester 2020/2021
  • Linux Administration; Advanced specialized course.
• Summer Semester 2019/2020
  • Introduction to Linux; Introductory mandatory course.
• Winter Semester 2019/2020
  • Unix Administration; Advanced specialized course.
• Summer Semester 2018/2019
  • Introduction to Unix; Introductory mandatory course.
  • Programming in Python; Advanced specialized course.
• Winter Semester 2018/2019
  • Unix Administration; Advanced specialized course.