Electric Vertical Take-off and Landing (eVTOL) vehicles represent the new frontier of transportation electrification. Since the dawn of aviation, enthusiasts have dreamed of “flying cars” that can reduce trips that take hours on the ground to minutes in the air, improving productivity and quality of life. What was previously the realm of science fiction is […]

Any physical processes that we aim to study in space have probably been influenced at some point by the process of star formation. Whether it be the interstellar gas and dust, the formation of clusters of stars, or galaxy evolution, star formation plays a role as a strong driving force for the physics behind these […]

In this research project, we wish to further understand turbulent flows and the laws that govern them. In particular, we hope to mathematical understand the phenomenon known as “anomalous dissipation” or the “zeroth law of turbulence”. This anomalous dissipation refers to when the viscosity coefficient in a fluid approaches zero, the rate of energy dissipation […]

Wavelength tunable lasers are indispensable in future wavelength division multiplexing networks which can improve the communication capacity significantly. The objective of this project is to develop wavelength tunable semiconductor lasers with an ultra-wideband. By exploiting wave manipulation method, we will target the physical realization of such a device with high fabrication yield and high reliability. […]

In comparison to the well-developed electronic design automation (EDA) tools of microelectronics, the simulation tools of burgeoning photonics are too coarse. Time-assuming and computer memory hungry characters restrict tradition method application on photonic devices and circuits simulation. So, the aim of the proposed research project is to find a high accuracy and efficiency simulation method […]

The requirements of this project would be to determine the optimal orientation of the display screens and visor with respect to the user’s eyes. In order to do this, the person undertaking this project will be required to gain an understanding of existing augmented reality systems, how they work, and how their application can be […]

The goal of this project is to design a heat recovery system for ArcelorMittal Dofasco’s (AMD) steel-making plant in order to convert waste heat into power. This will result in lower operating costs and a lower environmental impact for AMD and represent one more step forward for Hatch in the area of industrial applications of […]

The Sustainable Engineering Design Audit (SEDA) score is to be designed to evaluate environmental impact on the balance sheet alongside the bottom line. The ability to evaluate environmental use alongside financial decisions will increase green practices and pro-environmental behaviour. The score will use appropriate Life Cycle Analysis (LCA) boundaries through a cradle-to-grave analysis and examine […]

Legionnaires is a disease caused by the bacteria Legionella pneumophilia present mostly in aquatic environments. The first outbreak of this disease was recognized in 1976 in Philadelphia and the most recent one in July 2019 in Atlanta. Diagnosis of the disease isn’t early and thus need to be prevented by regular treatment. Treatment of water […]

The Suncor/McMaster partnership is generating a pipeline of novel, green, agricultural chemicals to be applied as crop sprays. One of the challenges with treating plants by spraying leaves (foliar treatment) is targeting the transport of the active ingredients (AI) to specific parts of the plant. An example is preventing bacterial growth in the xylem, channels […]

Asian multinational corporations (MNCs) have been a primary driver of the world region’s economic rise. Their emergence brings fresh air and new challenges to the global economic order. Key to their success is a distinct form of business culture and organizational strategy, which the existing scholarship has yet to address. This project aims to develop […]

Object detection and classification for surveillance applications via deep neural networks have attracted a lot of interests in computer vision (CV) communities. Accurate and fast CV algorithms can alleviate intensive manual labour and reduce human errors due to fatigue and distraction. In detection problem, the aim is to determine bounding boxes which contain interested objects […]