In this project we attempt to research and develop from ground up a scalable distributed computing based recommendation engine using machine learning. A computer science student from the University of Toronto will work with Side Effects Software at their Toronto office to implement the research intensive recommendation engine algorithm and integrate it in the smart […]

The project aims at obtaining new ingredients from concentrated milk, and understanding how changes in their physical and chemical properties may affect their functionality. Membrane filtration processes are widespread in the dairy industry and they are all based on physical separation of the components because of their size. During these processes, the protein particles in […]

Whey proteins in milk are detrimental to the rennet-induced coagulation of milk. In this project, we will use microfiltration membrane technique to concentrate the milk and to remove whey proteins. A process called diafiltration (DF) will also be used to further remove whey proteins by adding water to the MF concentrated milk and then filtered. […]

Aqueous rechargeable lithium battery has received great attention recently due to the less toxicity, lower cost and higher safety compared to the non-aqueous systems. When using the commercially available lithium manganese oxide as active materials, there are demands in suppressing manganese dissolution and graphite consumption in the cathode. As a potential solution to achieve these […]

Aqueous rechargeable lithium battery has received great attention recently due to the less toxicity, lower cost and higher safety compared to the non-aqueous systems. When using the commercially available lithium manganese oxide as active materials, there are demands in suppressing manganese dissolution and graphite consumption in the cathode. As a potential solution to achieve these […]

Over 350 million people worldwide suffer from depression. A key part in diagnosing depression is screening questionnaires, which rely on patient self-reports of the recent past. With the advent of social media and wearable devices, there is an opportunity for a novel approach to detecting when a patient diagnosed with chronic depression becomes acute. In […]

Hearing aid research has traditionally focused on improving speech intelligibility for people with hearing loss, but there is increasing interest in addressing other aspects of hearing that contribute to quality of life, particularly music and other non-linguistic information. Listening to music through hearing aids is often dissatisfying due to distortions introduced by current algorithms. Hearing […]

Extensive research has been conducted for the computational analysis of mass spectrometry based proteomics data, however most of the traditional computational approaches take the assumption that the acquired spectra are generated from the fragmentation of a single precursor and the peptide is simply a linear sequence of amino acid residues. This ubiquitous assumption is impeding […]

The uGPS Rapid Mapper™ is a laser system mounted on a mining vehicle which acquires 3D images of tunnels in underground mines. Currently, engineers use the images for mine design and operations. This research project will create two new applications for the images acquired by the system: mapping of the geology of the tunnel walls […]

Customized image sensors will be designed by EnviroSen specifically for advanced microscopes used in biomedical imaging. The goal is to develop image sensors with improved efficiency, image resolution and speed compared to existing technologies for novel microscopes for fluorescence lifetime imaging. The McMaster Biophotonics group has recently developed a novel microscope that is capable of […]

Detecting subtle chemical and physical changes occurring at the early stages of chronic disease and many other infectious diseases caused by harmful bacteria is still a challenge, as ultra-sensitive sensors with large signal-to-noise-ratio are required to detect them. We recently explored new ways to enhance the sensitivity of magnetic nano-sensors and theoretically demonstrated that under […]

Detecting subtle chemical and physical changes occurring at the early stages of chronic disease and many other infectious diseases caused by harmful bacteria is still a challenge, as ultra-sensitive sensors with large signal-to-noise-ratio are required to detect them. We recently explored new ways to enhance the sensitivity of magnetic nano-sensors and theoretically demonstrated that under […]