The aim of this project is to develop an application that can proactively protect users from identity theft and create awareness around safe digital practices. For this, we will be developing novel ways of extracting utility out of data and helping users to maintain a least-risk profile score. Most of the computations will be done […]

One major challenge in studying holdfast bioadhesive properties is that cells synthesize only a very small quantity of holdfast at one pole of the cell. Therefore, all studies of holdfast bioadhesive properties have been conducted by atomic force microscopy (AFM). While AFM is a powerful technique, any development of holdfast for practical applications will require […]

L’objectif du traitement d’image des toitures des bâtiments permettra notamment d’estimer la quantité de neige et de glace cumulées sur les toits dans le but d’éviter les accumulations de poids excessifs, d’évaluer les apports d’eau liés à la fonte de neige, et de gérer les opérations de déneigement et d’entreposage de la neige. L’IA semble […]

Designing a P2P Money Exchange platform application that creates a social network based on mutual trust will help individuals trust each other and participate in deals for Peer-to-Peer money exchange. This idea focuses on eliminating the need to use escrow mechanisms and the complexities of handling extra electronic payment and money transfer transactions and mandatory […]

Brain segmentation is crucial for providing accurate predictions to the patients due to the information which can be extracted from it, such as the shape and size of the tissue, underdeveloped or injured regions, and annual comparative results for brain growth. Segmentation of infants’ brains currently requires deep expertise and is a labor-intensive process, typically […]

Conventional molecular discovery relies on high-throughput screening strategies (HTS) to identify molecules that match a specific set of user-defined properties. Unfortunately, due to the enormous size of chemical spaces (10^60 molecules in the case of the drug-like chemical space), HTS is usually performed over pre-built chemical libraries of moderate size, often by employing computational/AI methods […]

Access to breast cancer screening is limited in rural populations and developing countries, resulting in increased mortality rates for women. Microwave based breast cancer detection is a safer and less costly approach to early breast cancer detection. Building on our experience in experimental microwave radar-based breast imaging research we are developing and testing a portable […]

The big problem in healthcare Is that that about 80% of medical data remains unstructured and untapped after it is created. It’s hard to handle this type of data for Electronic Medical Record (EPIC), it tends to be ignored, unsaved or abandoned, and therefore is not effectively used in medical treatment or research. It’s highly […]

Four cycles of observations with the space telescope TESS have provided high-quality photometric data and have led to discovery of a group of delta Scuti stars that show pulsations at high frequencies (nu> 40 c/d) which are similar to the pulsations of roAp stars. Recent discovery of magnetic field in delta Scuti star HD41641 suggests […]

We aim at developing new approaches which have not been performed so far, such as i) enhancing the resolution and quality of noisy and unlabeled conventional ultrasound images through deep learning SRMs, ii) synthesizing high-quality MRI from the enhanced ultrasound images through generative networks, iii) fusing ultrasound and synthetic MRI images for different aspects such […]

The search for music for a video is time-intensive. Video creators and bloggers listen to hundreds of tracks in music libraries, yet barely find the perfect one because of the difficulty of communicating their vision to the computer. Thus, the question we address in this research project is on the role of the modality, in […]

There is an Elite graduate program at the University of Toronto’s Department of Computer Science called Master of Applied Science in Computing (MScAC). During this program students spend 8 months taking graduate courses and 8 months at their applied research internship at multinational research labs and startups, which send their project proposals for program approval. […]