Failure-Tolerand Connectivity Maintenance for Robot Swarms

In many real-world applications, robots need communication between each other to coordinate. For the information to propagate, robots need to be connected, i.e. there has to be a communication path between all the robots in a team. We have designed a decentralized connectivity-preserving algorithm and validated using the ARGoS multi-robot simulator. The connectivity-preserving algorithm has […]

Read More
Advanced Applied Probabilistic Programming

Autonomous cars are one example of a compelling next-generation artificial intelligence technology. In order to safely navigate through the world, cars must plan long-range routes and short-range paths, perceive the world around them, and act according to a safety-first policy that takes into account the intent of agents in their surrounding world. While not strictly […]

Read More
Non-invasive automated assessment of tonic attention (vigilance) of commercial airline pilots during simulated flights

With the goal of increasing the safety of civilian air flight, the detection of a decrease in pilot attention is becoming an important need in civilian aeronautics. Multiple models used for the detection of hypovigilant states have been developed over the years in experimental conditions, but barriers still exist limiting current use. First, some of […]

Read More
Design and Prototyping of a Power Logger for Power Quality Monitoring

Power characteristics of CAE equipment are regularly requested by the customers (some customers are penalized by their service providers for poor power factor, etc.), but there are presently no quick and safe means of logging power at the main power distribution and motion control cabinets. The goal of the power logger, to be designed and […]

Read More
Simulation-Enabled Intelligent Decision Support for Planning Precast Concrete Production Operations

Advances in engineering technology and requirements for sustainable development are main drivers for changes and innovations in the current construction industry. The paradigm shift to precast construction moves conventional field construction efforts into the controlled environment of an offsite manufacturing facility. These precast concrete products lend a significant advantage in execution of fast-paced construction projects, […]

Read More
Effect of Convective vs. Freeze Drying on the Hemp Bioactive Compounds

Industrial hemp (Cannabis sativa L.) and its fibres being durable are used in fabrics, sail making and papermaking. Its seed is a rich source of polyunsaturated fatty acids (omega-3, 6) and its oil is used for cooking and for medicinal purposes. Cannabis contains cannabinoids, of which, ?9-tetrahydrocannabinol (THC) and cannabidiol (CBD) have been identified as […]

Read More
Deep learning-based drug discovery and molecule generation

The project aims to facilitate the research and development of new drugs by exploring deep learning methods to process molecules and to generate new molecules. The deep learning models that will be experimented include few shot learning, generative adversarial network, and variational autoencoder. We would like to improve these methods specifically for pharmacological datasets, which […]

Read More
Finding graph minors in the D-Wave hardware graph

D-Wave’s quantum computer is good at solving a specific type of problems known as Ising spin problems. However, in order to solve one of these spin problems, you must first solve another hard problem—embedding the spin problem on D-Wave’s quantum processor. From the land of discrete mathematics, this embedding problem falls into a well studied […]

Read More
Improved Lateral Supports for Fresh Masonry Structures at Construction Site

Despite significant development of various construction materials, masonry is still considered as one of the most cost-effective materials. However, they are often vulnerable to wind-induced lateral loads caused during construction stage (within 1 to 2 days of construction) when the masonry is yet to achieve full strength. Temporary bracing systems are often used to support […]

Read More
Improving Efficiency and Robustness of Model-based Reinforcement Learning

Model-based reinforcement learning allows AI systems to learn and use predictive models of their environments to plan ahead, achieving tasks more efficiently. The proposed project aims to (i) develop methods for identifying when an uncertain and/or flawed model can be relied on to make plans, and when it cannot, and (ii) implement a method which […]

Read More
Machine Learning for Breath-Based Cancer Diagnosis

Non-invasive breath analysis has substantial potential for monitoring of a wide range of medical conditions and observation of overall health status. Breath testing is easy and painless; it can be done quickly and inexpensively, and can be repeated as often as needed, making it an attractive approach for screening or clinical diagnosis. In this work, […]

Read More