For urgent, life-threatening medical conditions such as cardiac arrest and stroke, treatment is time-sensitive and must be received promptly to maximize the likelihood of patient survival. Previous research has shown that areas with lower socioeconomic status have higher rates of cardiac arrest incidence as well as lower rates of receiving timely treatment and patient survival. […]

The development of scalable quantum computers threatens the secrecy of communication by breaking classical encryption schemes. In order to ensure long-term security in communication networks quantum-safe cryptography is currently being developed and evaluated in standardization competitions. A special property of many of the proposed cryptosystems is a low but non-zero probability of failure: An encrypted […]

This research proposal deals with characterization of thermophilic ?-Mannanase of Thermomyces lanuginosus and using this enzyme for hydrolysis of natural mannan to produce prebiotic MOS (Mannooligosaccharides). Alternative routes for the utilization of agricultural by-products are of interest because the economic value of these by-products as animal feed compounds is decreasing. MOS are non-digestible sugar oligomers […]

In today’s technology-centred world, we have become increasingly reliant upon artificial intelligence (AI) devices and software. To aid with navigation, many people use SIRI or other digital voice assistants to help them navigate from point A to point B. While successful in helping humans arrive at intended locations, there is a downside. Recent studies have […]

Overactive bladder, urinary urgency, affects 14-18% of the Canadian population and costs our health care system over $350,000,000 annually. Most current treatments require ongoing in-person support or have low adherence rates, enhancing greater strain on our healthcare system and economy. Non-invasive saphenous nerve stimulation (nSNS) overcomes these issues however there is currently no objective method […]

Deep learning has unlocked new paths towards the emulation of the peculiarly-human capability of learning from examples. While this kind of bottom-up learning works well for tasks such as image classification or object detection, it is not as effective when it comes to natural language processing. Communication is much more than learning a sequence of […]

i-Share is a project being conducted by the Université de Bordeaux. It is one of the largest mental health studies in the world, with the goal of collecting self-report information on mental health (e.g., stress, sleep, physical exercise, depression) from over 20,000 students from French universities. Currently, students have access to personal devices, such as […]

Sustainable method of treating waste water is one of the major issues across the world. Different techniques have been developed by various scientific communities but each possess some limitations. So, keeping in the mind of these major limitations such as high cost , external power source requirement, huge setups , non recyclable etc, design of […]

This study will identify a practical approach to bring a standard mid-size municipality into adherence with the ISO 14001, Environmental Management System standard, for its municipal wastewater system. This will increase the levels of government regulatory compliance, resilience on municipal infrastructure and reduction of risks for basement flooding, spills and overflows of raw sewage to […]

The availability and reliability of public transit has been a long standing equity issue for residents living in rural communities. This issue significantly impacts those who have lower incomes, the elderly, children, and people with disabilities. Access to of consistent and secure funding has been the main factor challenging the sustainability of rural transit. This […]

Client risk is one of the major decisions in wealth management. Many of the client risk assessment methods that are used in wealth management are in-house developed on an ad-hoc basis. The objective of this research is to assess the validity and reliability of the risk assessments methods developed by RiskMetrics. This study will be […]

Through my research I will seek to explore a context-sensitive framework for responsible deployment of artificial intelligence (AI) and big data analytics in the domain of healthcare in India, and juxtapose it with the healthcare technology ecosystem of Canada. In doing so, I will invoke the concepts of responsible AI, data governance, knowledge-making, state-accountability and […]