Retailers require reliable demand forecasts for their operations management and planning. Demand forecasting for fashion products is, however, an extremely challenging task. A good solution for this problem should address at least the following three questions: (i) high volatility of demand and its dependence on external factors (ii) forecasting flexibility for different spatio-tempo-hierarchical aggregation levels, and (iii) forecasting for new products without historical data.

The goal of this porject is to develop a prototype system for human presence/activity detection through radio frequency signals. There have een some recent promising results reported in the literature regarding such detections through WiFi signals using artificial intelligence-based approaches. The postdoc will focus on reproducing earlier results, then move on to enhance the system to detect some human activities of interest. The partner company would like to design, build and commercialize a line of products based on the developed prototype.

Pelvic Organ Prolapse (POP) is a condition 1 in every 10 women is diagnosed with. The current non-surgical treatment for POP is an intravaginal device called pessary which has a 40% failure rate as its shape is not fitted to the female anatomy. Poor pessary design and performance arises from the limited data that is studied on the pelvic anatomy. The current research project will study available imaging data using Machine Learning algorithms to facilitate and automate the process for assessing and treating POP.

Pelvic Organ Prolapse (POP) is a condition 1 in every 10 women is diagnosed with. The current non-surgical treatment for POP is an intravaginal device called pessary which has a 40% failure rate as its shape is not fitted to the female anatomy. Poor pessary design and performance arises from the limited data that is studied on the pelvic anatomy. The current research project will study available imaging data using Machine Learning algorithms to facilitate and automate the process for assessing and treating POP.

In March 2020, the new human coronavirus disease COVID-19 was declared a pandemic. As of May 21, 2020, the World Health Organization has reported over 4.8 million confirmed cases, including over 323,000 deaths worldwide. Only in Canada, the number of confirmed infections and deaths have reached over 80,000 and 6,000, respectively. Apart from the elevated rates of death and illness, this pandemic has caused major social and economic disruption throughout the world.

The proposed work combines artificial intelligence and diagnostic medicine. Using X-ray images, radiologists and veterinarians can perform an array of measurements to assess patient health. In a veterinary setting, standard measurements and annotations are performed on X-ray images to assess heart and knee health in canines, namely vertebral heart score (VHS) and tibial plateau angle (TPA). Provided a database of related radiographic images, the chosen intern can develop a method to automatically place annotations and perform these measurements through applications of machine learning.

Skill is an open-source standard format for resume writing that is optimized to be processed by AI systems. It can remove the hassle and stress of fully expressing themselves from job seekers and eliminate the hassle of finding the best candidate from employers. As AI systems grow more popularity in different fields, Skill will provide the required tool for re-defining the hiring process with the help of artificial intelligence.

As many of the existing buildings are reaching almost the end of their actual design life, new buildings are replacing them with more innovative and complicated technologies. At the same time, there are concerns and uncertainties about probabilistic structural failures and undesired structural system behaviors. The performance of these building under loads such as earthquakes and other natural disasters are of great interest. Therefore, seismic damage assessment of buildings for post-earthquake rehabilitation have received significant attention in the rcent times.

Governments around the globe are pressing the automotive industry to reach lower emission and better efficiency with various specifications targets and regulations. With the increasing amount of electric vehicle models that are available and the higher demand on the market, major OEMs are looking for components to differentiate themselves and offer competitive solutions. As the electric traction motors and converters are relatively new components in the automotive industry, significant technological steps are observed in the industry regarding the power density and efficiency improvement.

In this research project, research on cross-reality urban games that foster social engagement and interaction among city-dwellers with themselves and the urban spaces they inhabit will be furthered. Special attention will be paid to the shared experience of time and memory, as these two interface in Urbanoid’s cross-reality urban game x-ode. The knowledge gained will be applied in the implementation and deployment of x-ode, an urban cross-reality game, in Montreal in the Fall of 2020. Urbanoid Inc.