Developing computation tools for the rational design of cyclic peptide therapeutics

The majority of drugs that enter the market are discovered by screening millions of random chemical compounds until a desired effect is achieved. With the recent explosion in available biological data and raw computing power, it is now possible to develop drugs through bottom-up design rather than trial-and-error testing. Bottom-up drug design has the potential to lower R&D costs, improve success rates and reduce therapeutic side effects. ProteinQure aims to achieve these goals by designing peptide therapeutics computationally.

Photo-curable Polysiloxane Resins for Engineered Ferroelectret Films - Year two

Polymer ferroelectrets are light weight and flexible materials that display piezoelectric behaviour. These properties make them ideal for use as transducers in the aerospace industry. However, the traditional methods used to prepare high performance polymer ferroelectrets cannot be used for large scale manufacturing due to poor reproducibility or high cost. Furthermore, these manufacturing techniques rely on commercially available materials that are not intended for use as ferroelectrets.

Ontario__Western University

No additional funding contribution is required from the academic supervisor or university.
Fellowships will be awarded competitively.

Cloud-based analysis platform for in-house DNA sequencing: plasmid validation

Biological manufacturers are now starting to make chemicals and biological products (like proteins) by growing large amounts of microorganisms like bacteria or algae. One major quality control step in the manufacturing process is to check the genetic sequences of these microorganisms because they often not correctly made. This is due to the biological method for manipulating the sequences is not perfect. To check that the genetic sequences are correct, manufacturers typically send samples for DNA sequencing at international service providers.

Nonlinear Section Model Tests in the Wind Tunnel for Cable-Supported Bridges

Due to the length and intrinsic flexibility of cable-supported bridges, wind causes serious challenges to designers of such structures. To ensure the safety of these bridges, it is common practice to test scale models of bridges in the wind tunnel. As bridges are getting longer, simplifications used for typical wind tunnel test become questionable. Therefore, this project aims at developing a new type of wind tunnel tests for bridges in order to check whether these simplifications are safe for very long bridges.

Dynamic Scheduling of NPC Behaviours in Modern Video Games

Persistent Non Player Characters (NPCs) in many modern video games follow schedules guiding their routines and behaviors over time as the player engages in play inside the game’s virtual world. In a game like Ubisoft’s recently released Watchdogs: Legion, where schedules are a player-facing game mechanic, a robust scheduling system is highly important and critical to the game’s financial and critical success.
Making good schedules for NPCs in this context, however, is surprisingly complex.

Post-breeding movement and survival of adult and first-year Bank Swallows in the Great Lakes ecoregion

The bank swallow is a species of insectivorous songbird considered to be threatened in Canada and has been prioritized for conservation action. All swallow species in Canada are migratory, and in their annual cycle, the post-breeding to first migration period is considered to be a difficult and dangerous time for juvenile birds. We propose to conduct an ecological study of bank swallow post-breeding movements and survival in southern Ontario.

Data Driven Intrusion Detection in Autonomous/Connected Vehicles

Securing autonomous vehicle environments has recently become a hot topic for both industry and academia due to the significant safety and monetary costs associated with security breaches of such environments. This requires different approaches to address the challenges and propose potential solutions at multiple levels of these environments. To that end, machine learning (ML) and blockchain (BC) techniques can play a vital role in ensuring that the safety and security standards are satisfied to protect vehicles from failures that may cause an accident and/or possible attacks.

Cities Adapt to Climate Change: Celebrating Local Leadership

The risks of natural hazards in Canada are increasing, and studies have shown many disaster risk reduction projects have benefits greater than their costs. However, municipal climate adaptation projects face limited resources that support implementation. This Project will research and write two books of case studies about successful municipal climate adaptation projects in Canada, extending ICLR’s “Cities Adapt” series.

Impact of Lystek Process Treatment on Co-digestion of Food Wastes and Municipal Wastewater Biosolids

The problem is that currently food waste and municipal wastewater biosolids are produced in abundance, which necessitates a proper treatment rather than disposal to landfills, and increasing CO2 emissions. In this research proposal, the main goal is to enhance both biomethane production and biodegradability of organic solids by applying subsequent Lystek thermo-alkaline hydrolysis technology followed by anaerobic digestion/co-digestion (mixing different organic wastes at different mass ratios) of organic solids such as food waste and municipal wastewater biosolids.