Projects awarded

Successful data science projects

Several researchers have been successful with data science projects proposals in the last few months. We scored one project in NWO integrator call (MARCONI), two projects in the ECSEL program (MADEin4 and Arrowhead Tools), and another one in EIT Digital (DMCoach+). This results in 15 new research positions within TU/e.

In the NWO integrator, the MARCONI project was approved, creating 1 PhD + 1 PD position at TU/e. This project, led by Prof. Geert-Jan van Houtum (OPAC group), aims to develop and demonstrate innovative service logistics concepts that exploit actual data on the state of maritime assets and the availability of the relevant maintenance resources. These concepts are aimed at (1) reducing maintenance costs, (2) increasing safety, by lowering the probability of unplanned system downtime and (3) reducing the number of unnecessary sailing movements (emissions) through smarter planning and/or clustering of maintenance activities. The ambition is to demonstrate the actual functioning of a remote service logistic control tower, with the long-term goal of developing and exploiting a scalable supply chain function in the maritime world.

In the ECSEL 2018 Calls four projects were awarded with TU/e involvement, two with a strong Data Science component: MADEin4 and Arrowhead Tools.

MADEin4: The metrology domain (the ‘eyes and ears’ for both R&D and production) is a key enabler for productivity enhancements in many industries across the electronic components and system value chain. They have to be an integral part of any Cyber Physical Systems which consist of metrology equipment, virtual metrology or Industrial internet of things sensors, edge and high-performance computing.

Vlado Menkovski and Mike Holenderski (M&CS) will each supervise a PhD to develop innovative machine learning techniques for predictive maintenance of metrology equipment in the semiconductor industry. They will closely cooperate with Thermo Fisher, the national coordinator in the MADEin4 project. Another two positions are in Mechanical Engineering, where a proof of principle for non-destructive deep subsurface nano-imaging is studied.

Arrowhead Tools: This large project (over 10 positions @ TU/e) addresses engineering methodologies and suitable integrated tool chains, with the aim to substantially reduce engineering costs for digitalization/automation solutions. There is a clear need for engineering tools that integrate existing automation and digitalization engineering procedures and tools with Service Oriented Architecture based automation / digitalization technology.

From TU/e, five groups from three departments (M&CS, EE and ME) will participate in the project; all in close cooperation with Philips Healthcare and ASML. The Software Engineering & Technology group will focus on the development of a meta-framework for model management in model driven development and life-cycle management of complex (healthcare) systems. The Scientific Computing group will work on mapping of floating-point algorithms on fixed point FPGA hardware, while maintaining required levels of accuracy in algorithmic performance. Other involved groups are Formal System Analysis, Electronic Systems and Control Systems Technology.

Another project is DMCoach+, an EIT Digital funded project for 3 positions at TU/e. The responsibilities for TU/e are threefold: first, the aim is to leverage TU/e’s GameBus infrastructure to improve the patient engagement of an already existing app for coaching people with (or at risk of) diabetes type 2 mellitus.  Second, the aim is to further improve the privacy and security aspects of the GameBus back-end, especially considering the various regulations and norms required in a clinical setting. Third, experiments will be conducted to evaluate the effectiveness of the approach and transfer the result to industry. DMCoach is a collaboration between the IS and the HTI groups of IE&IS.