Deep Learning with Big Data for Innovation Acceleration

XLScout uses Natural Language Processing (NLP), Machine Learning (ML), and Innovation/Scientific principles to deliver actionable intelligence and accelerate innovation by analyzing large patent and research databases. The company is eliminating the pain of manually going through document and quickly providing relevant information to support data-driven strategic decisions. Presently XLScout hosts a data vault of over […]

Read More
Long Duration Flight Using Wireless Power Transmission and Solar Power

The proposed research project will demonstrate the feasibility to fly a small uninhabited aircraft for very long, multiday missions by providing it with power using a mix of wireless power transmission and solar-power. The wireless power transmission will be sent as a directed microwave beam from a ground-based transmitter and received using rectennas that are […]

Read More
Improved inhibitors of HIV infection

ViroCarb has identified a new class of HIV inhibitors against a new therapeutic target on the HIV envelopeprotein gp120, present in all HIV, including drug resistant strains. The objective of this internship is to conduct screening studies of libraries, designed based on this new chemical class for optimal efficacy and drug-like properties, using methods previously […]

Read More
Exploring the drivers of innovation diffusion for virus-resistant grape vines

Increasing exports of value-added agricultural products is a priority set out by Canada’s Advisory Council on Economic Growth. Upper Canada Growers has developed novel technology to produce grape vines with improved disease resistance to red blotch, a virus that has been significantly reducing grape quality and harvest globally, and this project will investigate how this […]

Read More
Test Automation with TTCN-3

Development of an Avionics system test methodology, based on the Test and Test Control Notation (TTCN-3). This will include (1) a gap analysis between TTCN-3 and current avionics test languages and environments and (2) a large scale case study. Of particular interest, will be the ability to model and verify both continuous control and discrete […]

Read More
Low-Code Software Development 2.0

In this project, we will explore the new ways to design and implement a Low-Code Software Development platform that is easy to use, requires minimum software knowledge, is business logic oriented, and robust to dependency change. Specifically, we provide functional templates with detailed configuration flexibility to cover the high frequency requirements from the expected business […]

Read More
Analytical Characterization of JZP-341 (Higher Order Structure)

York University and Jazz Pharmaceuticals are undertaking a project to accelerate development of their Leukemia drug candidate. The project will take advantage of unique technologies developed at York by Drs. Wilson and Krylov, Millisecond Hydrogen Deuterium eXchange (msHDX) mass spectrometry and Kinetic Capillary Electrophoresis (KCE), to provide a high-detail picture of Jazz Pharmaceutical’s candidate, including […]

Read More
Certified Defense Framework against Patch Attacks on Images

Adversarial perturbation of all the image pixels is computationally intensive and may not be realized in practice. In contrast, an adversarial patch attack where an adversary can choose to perturb a specific subset of pixels in an image, is more practical in fooling a trained image classifier or hiding a person from an object-detection model. […]

Read More
Temporary Migrant Farmworkers in Essex County: Building Community Inclusion in a Post-COVID-19 Context

Temporary migrant farm workers make essential contributions to our national food supplies as evidenced during COVID-19. Their exclusion from rights to labour mobility, family unity and the absence of systemic supports, however, undermines workers’ wellbeing and belonging, and the inclusions to which migrant workers are entitled. There is less attention to how communities support their […]

Read More