Damian Dailisan

Physics. Transportation. Data Science. Machine Learning.

prof_pic.jpg

STD-F

Stampfenbachstrasse 48

8092 Zurich

I am currently a postdoctoral researcher in Computational Social Science chair at ETH Zürich. Previously, I also worked as a data scientist at the Analytics, Computing, and Complex Systems lab (ACCeSs@AIM). In 2021, I received a Ph.D. in Physics from the University of the Philippines, where my research focused on using computational simulations to study driving behavior in traffic models, and machine learning applications for traffic-related research. My current research interests lie in the intersection of machine learning and artificial intelligence applied to multi-agent systems, including (but not limited to) traffic and transportation.

news

Feb 14, 2025 I am presenting a talk on “Democratizing Traffic Signal Control” at the Back to the Future workshop at ETH Zurich!
Oct 01, 2022 I am joining the Computational Social Science group at ETH Zürich! :tada:

latest posts

selected publications

  1. voting_traffic.jpg
    Democratizing traffic control in smart cities
    Marcin Korecki, Damian Dailisan, Joshua Yang, and 1 more author
    Transportation Research Part C: Emerging Technologies, Mar 2024
  2. llm_voting.png
    LLM Voting: Human Choices and AI Collective Decision-Making
    Joshua C. Yang, Damian Dailisan, Marcin Korecki, and 2 more authors
    Proceedings of the AAAI/ACM Conference on AI, Ethics, and Society, Oct 2024
  3. How well do reinforcement learning approaches cope with disruptions? The case of traffic signal control
    Marcin Korecki, Damian Dailisan, and Dirk Helbing
    IEEE Access, Oct 2023
  4. Amenity counts significantly improve water consumption predictions
    Damian Dailisan, Marissa Liponhay, Christian Alis, and 1 more author
    PLOS ONE, Oct 2022
  5. crossover_transitions.jpg
    Crossover transitions in a bus–car mixed-traffic cellular automata model
    Damian N Dailisan, and May T Lim
    Physica A, Oct 2020