Being able to analyze a 3D model of a patient’s pelvic bones allows doctors to plan surgeries and diagnosis diseases. With continued improvements in medical imaging and machine learning, it is now fast and accurate to produce these models. However, current techniques rely on CT scans that emit ionizing radiation. This type of radiation is […]

Recent work in the human-robot interaction community has revealed drones as social entities with emotional capabilities, beyond their initial status of mechanical objects. We build upon this work and envision drones as emotional support technology. To evaluate the validity of this concept, we outlined a design space for Emotional Support Drones (ESD) in our preliminary […]

Our company is developing a video game and as such we have a need for people from various disciplines. The game is called Dead Matter and it’s a multiplayer zombie survival game. We are currently in a growth phase and are looking for both senior staff and junior staff that can be trained on our […]

Modern music providers offer multiple services such as artist recommendations, browsing, playlist generation etc. Users interact with these services using graphical interfaces on computers and mobile devices. There are applications that need voice-only interactions such as smart watches or when the user’s hands and eyes are occupied. Virtual assistants, such as Siri by Apple and […]

This research project aims to program a hand-held spectrometer to identify and analyze gamma radiation peaks emitted from isotopes. Based on the detected peaks, the device will identify the specific isotope from the gamma ray that was emitted. The partner organization will be able to commercialize such a device to be used in different areas […]

Acquiring labelled data for training supervised learning models is a barrier to a wider adoption of machine learning strategies in several industries. The data annotation task is generally complex and time-consuming. In this project, we will use raw unlabeled data generated by fiber sensors to reduce the burden of labelling data with problems within the […]