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Associate Professor, Faculty of Engineering and Applied Science · University of Ontario Institute of Technology
Leading social media research analytics to predict trends in behaviour for safer communities
Corporate Director · Electrical Safety Authority, Engineers Canada / Ingénieurs Canada
Experience in speaking & media on topics of women in STEM, women on boards, engineering regulation, advocacy, governance, policy, education
Principal Civil Engineer · Global Water Experts
Heavy Civil Design and Management Including Heap Leach and Tailings Facilities Analysis, Design and Construction
Engineered Systems Risk Assessments Closure Design & Construction for Leach Pads and Tailing Facilities Large Dam Projects Large Water Conveyance Projects Heap Leach and Tailings Facility Analyses Design and Construction
Principal Hydrogeologist · Global Water Experts
Mr. Reidel, CPG, has 23 years of working experience on water & infrastructure related projects in the mining industry in North/South America
Associate Professor, Department of Automotive, Mechanical and Manufacturing Engineering, Faculty of Engineering and Applied Science · University of Ontario Institute of Technology
Innovating robotic technology to reduce human exposure to hazardous environments
Professor of Biology · Baylor University
Dr. King is a Professor of Biology and Directory of the Graduate Program in Biology at Baylor University.
Founder and CEO · Davies Public Affairs
One of the nation's most respected communication strategists & an expert on building grassroots public support for controversial issues.
Assistant Professor · VCU College of Engineering
Dr. Krawczyk's areas of research are machine learning, data stream mining, medical informatics, big data, and computer vision.
Machine learning: ensembles, imbalanced data, one-class classification, kernel methods. Data stream mining: concept drift, active learning, online classification and regression. Big data: mining massive datasets, efficient and scalable learning algorithms Medical informatics: clinical decision support, mining ubiquitous environments, activity recognition. Computer vision: deep learning, object detection, tensor methods, underwater image analysis.