Issa Hanou

I am Issa Hanou, a PhD student in the Algorithmics group. Previously, I obtained both a BSc and MSc degree in Computer Science from TU Delft. My project is part of the ICAI RAIL lab, a collaboration between Delft University of Technology, Utrecht University, the NS, and ProRail.

We focus on developing AI solutions for logistic operations and capacity planning in the railway system. Furthermore, we are interested in solutions that are trusted by human operators. My project specifically considers the use of previous plans and situations to learn how to best approach the current circumstances.

I am generally interested in planning methods for all sorts of applications. More specifically, I am fascinated by railway operations and different type of solutions approaches to improve these for a sustainable transportation future. For our solutions to be useful in real-world applications, I think it is very important to consider the interaction with the user. Besides, I am intrigued in the combination of machine learning techniques with reasoning, using the benefits of both and combining them into a useful and trustworthy system.

Please see my homepage for more details.

Publications from Pure

  1. Issa K. Hanou, Devin Wild Thomas, Wheeler Ruml, Mathijs de Weerdt, (2024), Replanning in Advance for Instant Delay Recovery in Multi-Agent Applications: Rerouting Trains in a Railway Hub, In Proceedings of the 34th International Conference on Automated Planning and Scheduling, ICAPS 2024 p.258-266, Association for the Advancement of Artificial Intelligence (AAAI).
  2. Issa K. Hanou, Mathijs M. de Weerdt, Jesse Mulderij, (2023), Moving Trains like Pebbles: A Feasibility Study on Tree Yards, In Proceedings International Conference on Automated Planning and Scheduling, ICAPS Volume 33 p.482-490.

I.K. Hanou, MSc