The information and communication technologies (ICT) sector is an energy intensive and growing sector (with an increase of 9% annually). Recently introduced applications of the next-generation radio networks, namely 5G-and-beyond (5GB), have dramatically accelerated the use of ICT services in many economic sectors, creating a unique opportunity to improve our quality of life. In this […]

Occupant thermal comfort and ventilation drive the operation of HVAC (heating, ventilation, and air conditioning) systems in buildings, which consume a large portion of their energy use. “Human-in-the-loop” (HITL), a term borrowed from machine learning referring to a synergy between humans and machines, is a data-driven approach that aims to enable human-based controls of the […]

The project aims to better understand how stress hormones (i.e., glucocorticoids) are synthesized in the thymus, a key primary lymphoid organ of the immune system. Stress hormones are critical for proper thymic development and immune function. However, many details about how and where in the thymus stress hormones are produced remain unexplored. As part of […]

With the rapid growth of sensors in Cyber-Physical Systems such as clinical data, industrial systems and data centres, there is an increasing need to monitor these devices to secure them against anomalies. This is particularly the case for streaming clinical data. Indeed, the timeliness revelation of anomalies in these data can save the patient’s life. […]

Cancer is a devastating disease known to be treated with chemicals causing severe side effects in the advanced stages of the disease. Among these chemicals are a group of antibiotics, called anthracyclines, used to treat a variety of cancers, including breast cancer (BC). Doxorubicin, one of the preferred anthracyclines used in BC treatment, is particularly […]

This project will focus on the research areas of smart device monitoring and the analysis of complex medical data in public health. Through the use of artificial intelligence, researchers will develop solutions that exploit large-scale sensor data, address significant challenges caused by global threats by, for example, setting early heat alerts for extreme heat waves. […]

The ability to perceive the motion of approaching person and to make appropriate adjustments to avoid collisions is an essential component of safe locomotion through the environment. The proposed project will investigate young and older adults’ collision avoidance behaviours with an approaching young adult in order to understand the visual information used to accomplish the […]

Demand for aluminum alloys is increasing rapidly, facilitation of electric vehicles being but one example. A consequence is increasing scrap supply; a positive as aluminum is highly recyclable with it consuming a fraction of resources compared to using primary aluminum. There is a growing concern, however, as high-performance alloys are compositionally tuned to maximize performance. […]

Understanding pedestrian dynamics is crucial to the design of pedestrian facilities. Although pedestrian flows are part of everyday life, many basic characteristics of pedestrian dynamics cannot yet be described in detail. The aim of the PhD project is to study the upper body rotation of pedestrians when crossing a narrow passage (bottleneck). Since the movement […]

A consequence of aging is the increased risk of neurodegenerative disease. In the pathogenesis of neurodegenerative diseases is the production of misfolded proteins which can clump together and interfere with normal cellular function. Mitochondria are highly important as they produce energy necessary for cell survival as well as regulate the controlled cell death process of […]

In this project, we will develop innovative AI tools to speed up the process of catalyst discovery, in particular in the domain of renewable energy. Specific catalysts are essential to applications such as the efficient synthesis of solar fuels and fertilizer. However, many known catalysts are suboptimal in their efficacy or require scarce elements. Currently, […]

To prevent diseases such as coronavirus disease 2019 (COVID-19) and Ebola virus disease vaccines are the most effective tool. For this, the promising viral vector recombinant vesicular stomatitis virus (rVSV) is applied as production platform. Using suspension HEK293 cells, rVSV-based vectors are currently only produced in batch mode. However, the establishment of perfusion cultivations at […]