9:00 am - 1:00 pm Dissertation Defence: Design and Evaluation of a Novel Passive Multi-Degree of Freedom Hand Tremor Attenuator
11:00 am - 3:00 pm Thesis Defence: Unsupervised Learning Approach for Detection, Discovery, and Automatic Labeling of Unseen Faults
1:00 pm - 5:00 pm Thesis Defence: Resilience of small to medium drinking water systems: An assessment through the water-energy-carbon lens
10:00 am - 2:00 pm Dissertation Defence: 3D-Printed Conductive Cellulose Cryogels for Electromagnetic Interference Shielding: Exploring Structural Design, Printability, and Shape Fidelity
9:00 am - 1:00 pm Thesis Defence: Enhanced Clustering and Classification of Alarm Floods Based on an Information-Theoretic Approach
2:00 pm - 6:00 pm Thesis Defence: Comparative Analysis of Straight and Arbitrary Unmanned Aerial Vehicle Trajectory Planning for Corona Effect Detection on Powerlines
10:00 am - 2:00 pm Thesis Defence: Pretreatment of Hydrothermal Liquefaction Aqueous from Municipal Sludge by Hydrogen Peroxide for Enhanced Biological Treatment
1:30 pm - 5:30 pm Dissertation Defence: Sustainable Gaseous Fuel Futures of Canada: A Techno-Economic-Environmental Assessment of Cleaner Supply Chain Configurations
2:00 pm - 6:00 pm Dissertation Defence: Improvement of Ultrafast Experimentation through Optical Delay Lines, Noise Processing, and Enhanced Semiconductor Performance
9:30 am - 1:30 pm Dissertation Defence: Performance-Based Seismic Design for Retrofitting of Bridge Bents
2:00 pm - 6:00 pm Thesis Defence: Smart Dynamic Trajectory Planning of Autonomous Underwater Vehicles Using Reinforcement Learning and Historical Data
11:30 am - 3:30 pm Dissertation Defence: Decision Support Frameworks for Unlocking the Potential of Blockchain in Sustainable Supply Chain Management
9:00 am - 1:00 pm Thesis Defence: Kolmogorov-Arnold Networks for Spectrum Sensing and Modulation Classification
10:00 am - 2:00 pm Dissertation Defence: Mechanical and Structural Behaviour of Rubberized Recycled Aggregate Concrete
11:00 am - 3:00 pm Thesis Defence: Upscaling Very Low-Resolution Chemiluminescence Images for Prediction of Thermoacoustic Source Term Using Machine Learning