Thomas Langerak
Aalto University
Department of Information and Communications Engineering
Konemiehentie 1
02150 Espoo
Finland
I am currently a postdoctoral researcher at Aalto University, where I work with Prof. Dr. Antti Oulasvirta in the Computational Behavior Lab. I work on the modelling of human behavior via Reinforcement Learning. I completed my Ph.D. in Computer Science at ETH Zürich, working under the guidance of Prof. Dr. Otmar Hilliges in the AIT Lab. In my research I explore 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
Oct 1, 2024 | Happy to say that I graduated from my Ph.D., and will start as a postdoc at Aalto Unviersity. |
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Apr 30, 2024 | Excited to announce that my paper on Multi-Agent Reinforcement Learning for Adaptive Point-and-Click UIs has been accepted for publication in Proc. ACM Human-Computer Interaction and will be presented at EICS this June! |
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
- EICSMARLUI: Multi-Agent Reinforcement Learning for Adaptive Point-and-Click UIsProc. ACM HCI, 2024
- UISTOptimal control for electromagnetic haptic guidance systemsIn Proceedings of the 33rd Annual ACM Symposium on User Interface Software and Technology, 2020
- UISTOmni: Volumetric sensing and actuation of passive magnetic tools for dynamic haptic feedbackIn Proceedings of the 33rd Annual ACM Symposium on User Interface Software and Technology, 2020
- UISTAalto Interface Metrics (AIM) A Service and Codebase for Computational GUI EvaluationIn Adjunct Proceedings of the 31st Annual ACM Symposium on User Interface Software and Technology, 2018