Projects

Ontdek baanbrekend onderzoek dat zich richt op het begrijpen en verbeteren van complexe systemen en diensten. Van innovatieve technologische oplossingen tot het verbeteren van operationele processen, onze projecten bieden inzicht en oplossingen voor actuele uitdagingen. Verken onze projecten en leer meer over onze bijdrage aan het vormgeven van de toekomst van technologie en diensten.

 

CIRPASS project

October 2022 - March 2024

CIRPASS is a collaborative initiative to prepare the ground for the gradual piloting and deployment of a standards-based Digital Product Passport (DPP). The DPP needs to be aligned with the requirements of the EU Proposal for Ecodesign for Sustainable Product Regulations (ESPR). The focus of the project is on the electronics, batteries, and textile sectors.

PARSEC - Parcel and Letter Security for Postal and Express Courier Flows

October 2022- October 2025

PARSEC develops solutions that use non-intrusive detection technologies to fight the abuse of postal and courier flows for criminal and terrorist purposes.

DATAPIPE project

September 2022 - September 2024

The DATAPIPE project aims to help the Customs Administration of the Netherlands and the Ministry of Infrastructure and Water Management of the Netherlands to be better equipped to meet their responsibilities in the context of the circular economy. The project will deliver a diagnostic problem analysis report, blueprint for piloting, and recommendations.
Hoe de douane efficiënter inspecteert in de logistieke keten

Hoe de douane efficiënter inspecteert in de logistieke keten

De douane op Schiphol en in de haven van Rotterdam krijgt het de komende jaren flink druk. De enorme groei van e-commerce en de aankomende Brexit zorgen ervoor dat het aantal douane aangiften dat via deze grote logistieke hubs Europa in komt, stijgt van 160 miljoen naar 500 miljoen binnen nu en vijf jaar. Deze enorme toename vraagt om slimme manieren van werken om efficiënte risicoanalyse te waarborgen en kosten te besparen bij verwerking van de douane import aangifte. “Digitalisering en samenwerking tussen douane organisaties en de vervoersketen is hierbij van groot belang”, aldus Yao-Hua Tan, hoogleraar Informatie en Communicatie Technologie.

Indonesia Regional Energy Transition TU Delft

1 October 2020 – 1 October 2023

This research project aims to develop a strategic green energy implementation plan (i.e. wood biomass and small-hydro) for Bali and Kalimantan which ensures regional economic growth for both regions and minimizes carbon emissions and that will be endorsed by a broad group of stakeholders

Real-time patient logistics during pandemics and natural disasters

February 2023 - December 2027

Patient flow logistics increasingly is a concern for health care systems worldwide. . The Covid19 pandemic has highlighted the problems of overloaded health care systems, with regular threats of a ‘code black’, clinics diverting patients or ambulances, and overloaded GPs with important implications for patient safety but also hospital finances.

Anticancer: Game Theory Empowered by Data Science and Control Theory to Improve Treatment of Metastatic Cancer

January 2023 – December 2027

This research investigates novel game theoretic models and combines these with data science and control theory to improve standard of care in cancer treatment. With these models a physician will be able to anticipate the cancer cells’ response to the treatment and subsequently steer the eco-evolutionary dynamics of the cancer cells towards better patient outcomes.

APROPOS

In the race towards building smarter, more powerful and more connected machines, scientists are also searching for ways to make sure they are energy efficient. If no action is taken, computers will soon need more electricity than the world energy resources can generate. More alarmingly, the Internet of Things will connect up to 50 billion devices to the cloud through wireless networks. This EU-funded APROPOS project is exploring ways to decrease energy consumption and optimise energy-accuracy trade-offs. To that end, it is developing approximate computing, in which applications using data may be satisfied with an 'acceptable' level of accuracy, and it will train early-stage researchers in energy-accuracy trade-offs on circuit, architecture, software and system-level solutions.

SPATIAL

A fund of 5M€ is awarded to SPATIAL project coordinated by TBM Associate Professor Dr. Aaron Ding. SPATIAL project focuses on two specific AI challenges: the model training of the AI (prio to its use) for potential bias, privacy and model poisoning, and the black box working of the algorithm once it can be used. The project contributes to a trustworthy framework for AI-driven security by developing and designing resilient accountable metrics, privacy-preserving methods, verification tools and system solutions for a more trustworthy AI. It paves the way towards trustworthy AI in security solutions by generating appropriate skills and education for trustworthy AI in cybersecurity from both societal and technical aspects.

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