Welcome to the new Schulich Peer-Reviewed Publication Database!
The database is currently in beta-testing and will be updated with more features as time goes on. In the meantime, stakeholders are free to explore our faculty’s numerous works. The left-hand panel affords the ability to search by the following:
- Faculty Member’s Name;
- Area of Expertise;
- Whether the Publication is Open-Access (free for public download);
- Journal Name; and
- Date Range.
At present, the database covers publications from 2012 to 2020, but will extend further back in the future. In addition to listing publications, the database includes two types of impact metrics: Altmetrics and Plum. The database will be updated annually with most recent publications from our faculty.
If you have any questions or input, please don’t hesitate to get in touch.
Kozlova, M. and Yeomans, J.S. (2022). "Sustainability Analysis and Environmental Decision-Making Using Simulation, Optimization, and Computational Analytics", Sustainability, 14(3), 1655.
AbstractThis issue contains applied computational analytics papers that either create new methods or provide innovative applications of existing methods to assist with sustainability analysis and environmental decision-making applications. In practice, environmental analytics is an integra-tion of science, methods, and techniques that involves a combination of computers, computational intelligence, information technology, mathematical modelling, and system science to assess re-al-world, sustainability, and environmental problems. The contributions to this issue all inves-tigate novel approaches of computational analytics – modelling, computational solution proce-dures, optimization, simulation, and technologies—as applied to sustainability analysis. The papers emphasize both the practical relevance and the methodological contributions of the work to environmental decision-making. Areas of application encompass a wide spectrum of environ-mental decision-making and sustainability, from waste, water, energy, climate change, industrial ecology, resource recovery, to recycling.
Gunalay, Y. and Yeomans, J.S. (2018). "A Simultaneous, Simulation-Optimization Modelling-to-Generate-Alternatives Approach for Stochastic Water Resources Management Decision-Making", International Journal of Advancement in Engineering Technology, Management and Applied Science, 3(1), 57-73.