Thomas Langerak

PhD Student @ ETH Zurich.

prof_pic.jpg

ETH Zürich

Department of Computer Science

Institute for Intelligent Interactive Systems

Stampfenbachstr. 48

8092 Zürich

Switzerland

I am currently a Ph.D. candidate in Computer Science at ETH Zürich, working under the guidance of Prof. Dr. Otmar Hilliges in the AIT Lab. My interest lies in exploring the dynamics of human interactions with intelligent systems, such as user interfaces and robots. My research intersects Machine Learning and Human-Computer Interaction, concentrating on integrating models of human behavior into intelligent control strategies. In my work, I develop algorithms and methodologies that not only predict and approximate human behavior but also apply these insights to the control of intelligent interactive systems. Before my Ph.D. at ETH Zürich, I completed a joint M.Sc degree in Computer Science, specializing in intelligent systems, from Aalto University and the University of Twente. Additionally, I hold a B.Sc degree in Industrial Design from Eindhoven University of Technology.

news

Jan 31, 2024 I will be graduating this year. I am looking for next opportunities in academia and industry, both as intern and full-time.
Oct 15, 2023 Finished my internship at Meta Reality Labs with a submission to IUI!
May 1, 2023 Started a Research Scientist Intern position at Meta Reality Labs! I will be working under the supervision of Kash Todi and Tanya Jonkers .

selected publications

  1. preprint
    MARLUI: Multi-Agent Reinforcement Learning for Goal-Agnostic Adaptive UIs
    Thomas Langerak, Sammy Christen, Mert Albaba, and 2 more authors
    arXiv preprint arXiv:2209.12660, 2023
  2. UIST
    Optimal control for electromagnetic haptic guidance systems
    Thomas Langerak, Juan José Zárate, Velko Vechev, and 3 more authors
    In Proceedings of the 33rd Annual ACM Symposium on User Interface Software and Technology, 2020
  3. UIST
    Omni: Volumetric sensing and actuation of passive magnetic tools for dynamic haptic feedback
    Thomas Langerak, Juan José Zárate, David Lindlbauer, and 2 more authors
    In Proceedings of the 33rd Annual ACM Symposium on User Interface Software and Technology, 2020
  4. UIST
    Aalto Interface Metrics (AIM) A Service and Codebase for Computational GUI Evaluation
    Antti Oulasvirta, Samuli De Pascale, Janin Koch, and 8 more authors
    In Adjunct Proceedings of the 31st Annual ACM Symposium on User Interface Software and Technology, 2018