Signal Processing

Background The i-RASE project is a high-impact research collaboration that brings together leading international partners, including DTU Space and DTU Compute, to develop the first real-time photon-by-photon radiation detector. This novel system has transformative potential in fields such as medical imaging, industrial inspection, scientific space instrumentation, and environmental monitoring, where rapid, precise photon detection is essential. The project seeks to design an intelligent, compact, and energy-efficient system-in-package (SIP) that combines physics-inspired artificial neural networks with advanced signal processing to achieve unprecedented accuracy and speed in photon interaction detection. ...

Background Explainability is a necessary component for implementation of deep learning models in domains with critical decision-making, such as healthcare, finance and climate. The black-box nature of the models makes them less trustworthy and the aim of eXplainable AI (XAI) is to open to black box. Masking-based methods uses repeated perturbation of the input to measure the change in the output and assess the relevance of each input pixel. The relevance is either estimated using Monte Carlo sampling of the masks [2, 3] or by optimizing the masks using back-propagation [1, 4]. Both of these methods have drawbacks, since the first requires repeatedly sampling many (potentially redundant) masks in the input space, while the latter requires access to the model gradients, which may be detrimental to the safety of the models. ...

Background Each year, traumatic brain injury results in 1.5 million hospital admissions in the EU. Of all comatose patients with traumatic brain injury, 40% die in the ICU and 20% enter a prolonged disorder of consciousness, seemingly unaware of themselves and their environment. Recent studies indicate that 15-20% of these behaviorally unresponsive patients have residual (covert) consciousness. Detecting consciousness in those people is challenging, but of utmost importance since the presumed presence or absence of consciousness affects medical decisions about treatment, including prognosis and end-of-life decisions. Consciousness can be detected from measurements of brain activity even in patients who are unable to overtly respond. ...

Background In digital communication the goal is to send information, usually represented by bits, from A (transmitter, Tx) to B (receiver, Rx). At some point in this process, the bits “meet” the physical world in the form of a channel. In optical communication, light from a laser is used to carry the information that travels through an optical fiber and is then detected at receiver using a photodiode. However, the optical fiber channel does not perfectly pass on the light as it will be attenuated and distorted the longer the light travels. ...

Background Write a few paragraphs with background info on your project. Remember to include information regarding available datasets. data: eeg; eye-tracking: gaze position (fixations and saccades), pupil size, posture; skin conductance; eeg, ecg (and hrv, ...), blood oxygen saturation, breathing rate. contextual data synchronization of data multiple persons fusion of multi-modal data that has been recorded at different times (varying contexts). provide data sources. ________________________________________________________________________________________________________ Project 1: Create a common framework to make it easier to apply ML methods to an otherwise heterogeneous set of datas-sources. ...