Boris Sedlak πŸ§‰
Boris Sedlak Boris Sedlak

Pre-Doc Researcher

About Me

Boris Sedlak is a Ph.D. student in the Distributed Systems Group at TU Wien, Austria. He received his B.Sc. in Media Informatics at the University of Applied Sciences in St. PΓΆlten and his M.Sc. in Software Engineering & Internet Computing at the TU Wien. He worked for four years as a software engineer before starting to work on Teadal, a European project on federated and trustworthy data lakes.

Interests
  • Computing continuum systems
  • Bayesian or causal inference
  • Video stream processing
  • Runtime requirements
Education
  • PhD Computer Science (Ongoing)

    TU Wien, Austria

  • MSc Software Engineering

    TU Wien, Austria

  • BSc Media Informatics

    FH St. Poelten, Austria

πŸ’‘ Research Vision

Some people say that computers are complex, and I’d agree because of the countless computational layers for which I cannot grasp what is happening there. Luckily, most of these things happen encapsulated from us so that we don’t need a Ph.D. in maths anymore to operate a PC. Impressive how all of this was engineered by humans within less than a century.

Nevertheless, I’d claim that the human body, as a complex system, went through thousands of years of evolution, and we’re still far from understanding the manifold of processes that happen unconsciously to all of us. While it can be difficult to see the similarity between humans and computers, their inherent goal is to achieve equilibrium in each of their cells or components. As the size of computing systems increases, my goal is to use concepts from neuroscience to build a causal understanding of computing systems, which can be used to ensure processing requirements.

If you wish to discuss these topics or you are interested in collaborating, please don’t hesitate to reach out to me πŸ˜ƒ

πŸ›ŽοΈ Featured Publications
πŸ“œ Recent Publications
(2024). Adaptive Stream Processing on Edge Devices through Active Inference. arXiv.
(2024). SLO-Aware Task Offloading within Collaborative Vehicle Platoons. arXiv.
(2024). DeepSLOs for the Computing Continuum. Proceedings of the 2024 Workshop on Advanced Tools, Programming Languages, and PLatforms for Implementing and Evaluating algorithms for Distributed systems.
(2024). Markov Blanket Composition of SLOs. 2024 IEEE International Conference on Edge Computing and Communications (EDGE).
(2024). Equilibrium in the Computing Continuum through Active Inference. Future Generation Computer System.
πŸ’¬ Recent Talks

Experience

  1. Agile Software Engineer

    Austrian Lotteries

    Responsibilities include:

    • Development and maintainance of request processing engines
    • Ensuring excellent software quality throughout releases
    • Working and organizing work packages in agile teams

Education

  1. PhD Computer Science (Ongoing)

    TU Wien, Austria

    Working under Prof. Schahram Dustdar at the Distributed Systems Group (DSG); focusing on ensuring runtime requirements in large-scale computing systems through causal inference. Fully funded by EU Horizon (Teadal).

    Research visit at Tsinghua University under Prof. Xiaobo Qu; working on emerging transportation solutions for collaborative offloading in vehicular edge computing.

  2. MSc Software Engineering

    TU Wien, Austria

    Focusing on advanced software engineering, algorithms, data structures, and distributed information systems. Finished the studies and master defense with distinction. Working in parallel as software engineer at Austrian lotteries.

    GPA: 3.7/4.0

  3. BSc Media Informatics

    FH St. Poelten, Austria

    Focused on tangible software products and HCI; developing dynamic solutions for mobile navigation; interactive installations for digital art (e.g., music and video); experimenting with AR and VR environments

    GPA: 3.5/4.0

Personal Interests
Sports
Climbing
Swimming
Football
Music
Bossa Nova
Drum & Bass
Intl. Rap
Cooking
Adriatic
Indian
Vegetarian
Languages
Spanish
Portuguese
French