Bekijk wat tien van onze onderzoekers te vertellen hebben over hun onderzoek en de tech-driven impact op de maatschappij. In de film komen drie van de zeven onderzoeksthema's van EWI aan bod: Health, Data Sciencen en Energy Transition. Onze onderzoeksgebiedien als organs on a chip, social glass, smart girds en nog veel meer worden in een paar minuten gepresenteerd.

De onderzoeksthema's van EWI

Computational Science

Computational Science & Engineering (CSE) deals with the development and application of computational models and simulations, often coupled with high-performance computing, to solve complex physical problems arising in engineering analysis and design (computational engineering), as well as natural phenomena (computational science). In many fields, computer simulation is integral and therefore essential to business and research. Computer simulation provides the capability to enter fields that are either inaccessible to traditional experimentation or where carrying out traditional empirical inquiries is prohibitively expensive. Together with KTH and TU Berlin, a joint master programme is offered (COSSE), originally funded as an ERASMUS MUNDUS project.

Data Science

Within EEMCS, the data science theme is closely connected to the DDS programme (Delft Data Science). It covers the challenges of turning big data into knowledge and insight. Big data is everywhere and considered one of the world’s biggest IT-related societal challenges. The rapid expansion of the web and the explosive evolution of software and hardware technology have resulted in immense amounts of digital data. This digital data comes with properties, e.g. size, speed, and semantics, that pose unprecedented challenges. Smart processing and intelligent analyses are required to obtain useful insights from big data, which may lead to value and impact in both science and society. Almost every field of study or sector of society will be fundamentally changed through (or will be affected by) big data. Naturally, the data science theme is closely connected to all EEMCS themes and covers a wide

Energy Transition

The Energy Transition aims to transform the present energy system that is based on fossil fuels into one based on renewable energy sources. As such, it is one of the driving forces of the TU Delft DRI “Delft Energy Initiative”. In addition to the usual power electronics and electrical engineering challenges, information and communication technology challenges and solutions are increasingly entering the domain of the energy transition. The main challenge is to realize this transition at the lowest possible cost without compromising the system’s reliability. Since the most important renewable energy sources (solar and wind energy) deliver electricity, the primary challenge is to accommodate energy transition in the existing electrical power system. Consumers are increasingly becoming electricity producers by installing their own photovoltaic (PV) and wind energy systems. In this way, power micro-grids are formed where power management and market mechanisms can be controlled locally. By interconnecting the micro-grids, the stability and resilience of the entire electrical power system can be increased, and conversion and transport losses can be minimized. When consumers mutually exchange electricity or deliver electricity to the distribution network, new market design and regulations have to be developed and put into place.

Health & Wellbeing

The health and wellbeing theme involves a wide diversity of researchers from the Faculty of EEMCS. Their involvement ranges from microelectronic devices for human organ and disease models to mathematical biophysics, and from implantable medical devices to genomic data analysis and visualization. The theme Health and Wellbeing is well embedded into the TU Delft Health Initiative, and many regional (LDE) and national (NKI, VUMC, Hubrecht Institute, Dutch Burn Centre, LUMC, 4TU) collaborations exist. The aim is to contribute to faster and more accurate diagnostics, advanced therapy, improved health-related quality of life (also for healthy people, to improve productivity and overall societal participation), and better prevention, care and cure, at reduced cost. In microelectronics, the design and implementation of biomedical microsystems address challenges such as high-quality signal modeling, miniaturization, accuracy and reliability, energy efficiency, biocompatibility, manufacturability and cost. Research encompasses material and technology, device and circuit design, signal processing, system implementation and software design. In mathematics and computer science, models and algorithms are being designed that advance health cure and care. The central challenges are the analysis of massive volumes of health, treatment, and genomics data, including personal lifestyle data, medical imaging data, and a range of multi-modal molecular data as well as the (cyber)security and privacy aspects of health data.

Next Generation Sensing & Communication 

The human desire to live in “smart environments” and “to be connected anywhere, anytime” is changing the way we interact with our surroundings and will drastically impact our society. As a result, wireless data traffic is growing exponentially and is driving mobile networks and their devices from 4G to 5G services, to handle more users and services at higher data rates and lower latency. In contrast, the Internet-of-Things requires the connectivity of large numbers of devices at low data rates, but with very strict requirements on response times and energy usage. For environmental monitoring and autonomous transportation, microwave and THz sensing systems are expected to play a crucial role. Accurate wireless localization will also be essential. The Next Generation Sensing & Communication theme aims to pioneer the next generation of wireless communication and sensing systems with enhanced functionality and a low ecological footprint. The required disciplines are analog, digital and RF circuit design, antenna design, electromagnetic wave propagation and scattering, signal and data processing, networking and embedded systems. The theme

Quantum Computing

The Quantum Computing theme is directly coupled to the QuTech mission of building a quantum computer and a quantum Internet. It involves formulating and building the system and device concepts necessary to scale the current quantum-related technology to a level where it can be usefully applied

Safety & Security

Safety and security is a cross-cutting theme not only for the Faculty of EEMCS, but for Delft University of Technology at large and - in fact - the whole of today’s society. Our perspective on the theme is a technical one, focusing on physical (remote) sensing abilities for public and industrial safety and security on the one hand, and on awareness and appropriate measures in cyberspace on the other. Whereas initially the two perspectives on safety and security were fairly independent, the advance of cyber-physical systems and Internet-of-Things (IoT) increasingly interweaves the physical and the cyber-domain. In this theme, we seek collaboration with other technical and non-technical disciplines via national and international collaborations. Particular domains of interest for the Faculty of EEMCS are smart grids in the context of the energy transition, cognitive sensing in the context of environment monitoring and autonomous driving, and cyber safety & security in the healthcare domain, e.g. of biomedical implants.

Naam auteur: webredactie EWI
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