Computing related research and development groups in the Hamilton-area.
Description: Collaboration is at the heart of AdvOL’s research program. The group members and their colleagues are true research partners, with each providing valuable contribution and specialized knowledge. A number of initiatives benefit from the contributions of industral partners: IBM, Bell Canada, Motorola, as well as of the national funding agencies such as NSERC, CFI, OIT, mprime, all of whom help to strengthen the crucial link between fundamental research, implementation and practice.
Description: CIRC partners with industry partners to architect strategic Research Partnerships. These relationships deliver innovative projects, often leading to cutting edge product offerings from the partners. The partnerships are intended to solve a major technical or scientific challenge, take 3-5 years, and considerable inventive contributions. Several Federal and Provincial grants are available to co-fund these projects with private sector industry partners.
Description: The Data Science Research Lab in the Faculty of Engineering at McMaster University is focused on research in database systems, data cleaning, data analytics, data privacy, and web data management. We participate in cross-disciplinary collaborations across technology, health, and financial industries.
Description: MacData promotes the engagement of researchers and students within McMaster as well as externally with industry, government and community to strengthen McMaster’s position as an international leader on all matters related to data. These include data analysis – AI, machine learning, statistical learning, and statistics – as well as collection, ethics, transformation, and visualization. MacData was created to identify synergies to foster collaboration among McMaster University’s many institutes, centres, and researchers whose work involves the many facets of data.
Description: The mHealth and eHealth Development and Innovation Centre (MEDIC) helps companies, start-ups, not-for-profits, and government organizations develop and implement innovative digital health solutions to improve patient care. Through MEDIC, clients can access a working eHealth ecosystem, including the technology, know-how and industry contacts that are necessary in the development and commercialization of new health IT innovations. As an online “living-lab” environment, MEDIC allows stakeholders to work through a significant part of their development in a cost-effective, secure, efficient manner.
Description: The Resource Allocation and Stochastic Systems Lab is generally concerned with the analysis and control of distributed systems operating in random environments. Current projects include work in the interaction of routing and scheduling policies in distributed server systems, stochastic models for the performance evaluation of legacy system migration, scheduling Hadoop systems, replication in service oriented architectures and fundamental work in queueing theory and related stochastic modelling frameworks. Recent efforts have addressed resource allocation problems in the design of data centres.
Description: The Wireless System Research Group (WiSeR) at McMaster University (previously WiSeR@UH) conducts research of social impacts on a variety of communication, networking, data analytics and system issues in Cyber Physical Systems and social networks. Our focus is on advancing the fundamental understanding and development of efficient robust solutions. Our projects span core system building blocks, data and network management tools and services, mathematical principles, and application of wireless communication and networking to scientific, industrial and health-care disciplines. Our research has been supported by Natural Sciences and Engineering Research Council of Canada (NSERC), National Science Foundation (NSF), UH Grants to Enhance and Advance Research (GEAR), Defense University Research Instrumentation Program (DURIP)