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

About

• I am interested in Operating Systems, especially in high efficient storage solutions and networking. Currently, I am working on:
  • BUSE — Highly efficient and scalable Linux kernel module for implementing block devices in userspace.
  • BS3 — Extremely efficient log-structured network block device using BUSE.

• I got MS in Systems from MFF Charles University — I worked 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 which was published at NetDev Conference. I also teach systems related courses as an adjunct lecturer.

• I got MS in Artificial Intelligence from CS dept. at FEE CTU. My supervisors were Ondrej Kuzelka and Filip Zelezny from IDA. My work on Lifted Relational Neural Networks was published in Journal of Artificial Intelligence Research (JAIR).

• Before that, I got BS 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.

Publications

• Journal and Conference Papers:
  • Lifted relational neural networks: Efficient learning of latent relational structures. Gustav Sourek, Vojtech Aschenbrenner, Filip Zelezny, Steven Schockaert, Ondrej Kuzelka. Journal of Artificial Intelligence Research (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

• Winter Semester 2021/2022
  • Linux Administration; Advanced specialized course.
• 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.