News

20 januari 2022

RHIA TALKS | Flight Delay Predictions

RHIA TALKS | Flight Delay Predictions

On the 27th of January (15.00-16.00) a RHIA Talks is organized with a focus on Flight Delay Predictions.

17 december 2021

IBM Best Demo Paper Award

IBM Best Demo Paper Award

The paper and demo “Agent-Based Modelling and Simulation of Airport Terminal Operations Under COVID-19-Related Restrictions” by Gregory Sanders, Sahand Mohammadi Ziabari, Adin Mekić, and Alexei Sharpanskykh was awarded IBM Best demo paper award at 19th International Conference on Practical Applications of Agents and Multi-agent Systems.

10 december 2021

RHIA TALKS | Seamless Passenger Journey

RHIA TALKS | Seamless Passenger Journey

On the 13th of December (14.00-15.00) a RHIA Talks is organized with a focus on seamless passenger journeys by using data-driven innovation and artificial intelligence techniques.

19 november 2021

Silver Medal for research paper on predictive aircraft maintenance

Silver Medal for research paper on predictive aircraft maintenance

PhD candidate Ingeborg de Pater has received the Silver Medal for her paper on predictive aircraft maintenance at the 61st Annual Symposium AGIFORS.

14 oktober 2021

Interview Airport Technology Lab

Interview Airport Technology Lab

Leonardo Times, the student magazine of the VSV ‘Leonardo da Vinci’ has interviewed Project Manager Elise Bavelaar, Dr. Mihaela Mitici and PhD Candidate Mike Zoutendijk about their work in the Airport Technology Lab (ATL).

11 oktober 2021

Meet our new colleague – Marcia Baptista

Meet our new colleague – Marcia Baptista

My name is Marcia Baptista and I am an Assistant Professor at TU Delft. I lecture the course of Maintenance Modeling and Analysis at the Aerospace Engineering faculty.

14 september 2021

Ingeborg de Pater receives Best Innovation award at AGIFORS

Ingeborg de Pater receives Best Innovation award at AGIFORS

PhD candidate Ingeborg de Pater receives Best Innovation award at AGIFORS Aircraft Maintenance Operations conference for her work: Predictive maintenance for a fleet of aircraft with Remaining-Useful-Life prognostics and the management of spare components.


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