Miguel Anjos is Professor and Chair of Operational Research at the School of Mathematics, University of Edinburgh. He serves as Deputy Head of School and leads the Data and Decisions research theme. His professional roles extend to Chair of the Mathematical Optimization Society (2023–2025) and Vice-President (International Activities) of INFORMS. He holds Fellowships from the Humboldt Foundation, EUROPT, and the Canadian Academy of Engineering. Research Focus: Mathematical optimization for large-scale nonlinear problems in engineering applications, particularly conic optimization in facility layout and power grid optimization. Collaborations: National Grid ESO, Hydro-Québec, Schneider Electric, Rio Tinto, EDF, and Yeji Data Lab. Datasets: Maintains QAPLIB, FLPLIB, and Jones Benchmark for optimization research. His work addresses smart grid challenges: maximizing grid efficiency, integrating renewables, optimizing energy storage, and enabling customer participation. Former students have secured positions at universities (University of Tennessee, Western Ontario) and tech companies (Amazon, Shopify). Scientific Awards: Fellow of the Humboldt Foundation Fellow of EUROPT Fellow of the Canadian Academy of Engineering He has supervised PhD researchers including Elspeth Adams (2014 MOPTA runner-up), Christian Bingane (2019 CORS Student Paper Competition winner), and Mathieu Tanneau (2018–2021 FRQNT Merit Scholar). His postdocs have contributed to bilevel attacks in AI, energy storage scheduling, and electric vehicle infrastructure planning.
Hany Osman is an Associate Professor in the Master of Data Analytics program at the University of Niagara Falls Canada, holding a PhD in Industrial Engineering from Concordia University and a Professional Engineer (PEng) license in Ontario. His academic-industrial career bridges theoretical research with practical applications across multiple sectors. Dr. Osman's research spans three interconnected domains: Machine Learning & Data Analytics : Specializing in logical analysis of data, cost-sensitive learning, and ensemble techniques for industrial applications Operations Research : Developing nature-inspired metaheuristics (cuckoo search, ant colony optimization) for NP-hard problems in manufacturing and logistics Supply Chain Management : Focusing on sustainable optimization of lot sizing, production planning, and inventory control under stochastic conditions His recent publications (2023-2024) reveal a strategic pivot toward AI-integrated manufacturing systems, notably the CAPP-GPT framework for generative AI in process planning and emission-aware lot sizing models. This work demonstrates consistent translation of theoretical advances into industrial solutions for rail, oil, and smart manufacturing sectors. Professional credentials include: IBM Mastery Certificate in Predictive Data Analytics Professional Engineer (PEng) license from Ontario Dr. Osman leverages extensive industrial experience in supply chain logistics, oil industry optimization, and education technology to inform both research and teaching. His supervision in the Master of Data Analytics program emphasizes hands-on application of machine learning to real-world operational challenges, with students contributing to publications in Manufacturing Letters and related journals. While no formal lab is specified, his research group operates at the intersection of data science and industrial engineering, maintaining strong industry partnerships that drive applied projects.
Sarah Heath is an Associate Professor in the Department of Criminal Justice at The University of Winnipeg. She holds a PhD in Education (specializing in program evaluation) and an MA from the University of Ottawa. Prior to her academic appointment, she conducted criminal justice research for Canadian federal agencies including Public Safety Canada and Correctional Service Canada. Research Focus: Dr. Heath specializes in collaborative evaluation methodologies with emphases on youth engagement, ethical frameworks for evaluators, and criminal justice applications. Her current projects examine child abuse case processing in Manitoba (funded by Manitoba Law Foundation) and chronic missing persons. She integrates experiential learning through CEWIL Canada-funded initiatives training students in Western and Indigenous evaluation approaches. Professional Affiliations: Collaborator: SSHRC-funded Manitoba Northern and Rural Institute in Program Evaluation Research Partner: RCMP and Toba Centre for Children and Youth Former Collaborator: St. Leonard’s Society of Canada, Canadian Centre for Gender and Sexual Diversity Awards & Funding: Experiential Learning Grant from CEWIL Canada (2020-present) Manitoba Law Foundation Research Grant (2021-present) Teaching: Develops and instructs core Criminal Justice courses including Research Methods, Ethics in Criminal Justice, and field placement programs connecting students with practical research opportunities.
Dr. Chris Le is a Distinguished University Professor in the Department of Laboratory Medicine & Pathology at the Faculty of Medicine & Dentistry, University of Alberta. He serves as Director of the Analytical and Environmental Toxicology Division, where he leads research at the intersection of analytical chemistry, environmental health, and biomedical applications. Dr. Le's educational background includes: PhD (1993) in Chemistry from the University of British Columbia MSc (1988) in Chemistry from Brock University MSc (1986) from Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences BSc (1979) in Chemistry from Wuhan University Dr. Le's research focuses on developing novel analytical techniques for environmental contaminants and biomedical applications. His work spans multiple areas including arsenic speciation and toxicology, CRISPR-based detection systems, DNAzyme technology, and nanosystems for drug delivery. He has made significant contributions to understanding arsenic metabolism, developing sensitive detection methods for environmental contaminants, and creating innovative molecular diagnostic tools. His laboratory has pioneered techniques for the detection of nucleic acids, proteins, and environmental pollutants with applications in both environmental monitoring and clinical diagnostics. Analysis of Dr. Le's recent publications reveals a strong focus on CRISPR-Cas technology for molecular detection, particularly for viral pathogens including SARS-CoV-2 variants. His work bridges analytical chemistry with molecular biology to develop highly sensitive detection platforms. There's also a consistent thread of research on arsenic speciation, metabolism, and toxicity, demonstrating his longstanding expertise in environmental toxicology. His publications show interdisciplinary collaboration across chemistry, biology, environmental science, and clinical medicine. Dr. Le has received numerous prestigious awards and recognitions: Distinguished University Professor at the University of Alberta (2011) Fellow of the Royal Society of Canada (2010) Canada Research Chair (Tier 1) in Bioanalytical Technology and Environmental Health (2010-2017) Fellow of the Royal Society of Chemistry (UK) (2016) Martha Cook Piper Research Prize (2000) E.W.R. Steacie Memorial Fellowship from NSERC (2000) Multiple awards from the Canadian Society for Chemistry including the Maxxam Award and W.A.E. McBryde Medal Dr. Le actively mentors graduate students (MSc and PhD), undergraduate students, and post-doctoral fellows. His research has been supported by significant grants including the Canada Research Chair program and various research council funding. He serves on editorial boards for prestigious journals including Analytical Chemistry and Environmental Health Perspectives, demonstrating his leadership in the scientific community. As Director of the Analytical and Environmental Toxicology Division, Dr. Le leads a multidisciplinary team that combines expertise in analytical chemistry, molecular biology, and environmental health sciences. His laboratory develops cutting-edge technologies for environmental monitoring and clinical applications, with particular emphasis on translating basic research into practical solutions for public health challenges.
