جست‌وجوی استاد و پژوهشگر

• Ornithology
• Limnology
• Fish Ecology
• +۳ مورد دیگر

Eric Demers is a Professor in the Department of Biology at Vancouver Island University (VIU). Active in teaching and research since the 1990s, he focuses on Ornithology , Limnology , and Fish Ecology , leading the VIU Bird Banding Project since 2013. His work spans aquatic ecosystems, wildlife behavior, and ecological interactions. Education: BSc, McGill University (1991) PhD, York University (1996) Research Interests include avian ecology, freshwater systems, and wildlife conservation. His publications analyze fish behavior, nutrient cycling in lakes, and technological applications in ecological studies. Recent projects involve bird-window collision assessments , water quality monitoring , and invasive species impacts . Advising and Projects: He has supervised over 25 students on topics like Western Purple Martin nesting , Coastal Cutthroat Trout movement , and Amphibian pathogen detection . The VIU Bird Banding Project investigates songbird populations at Buttertubs West Marsh.

Mingbin (Ben) Fengمشاهده پروفایل

دانشیار

• Quantitative Risk Management
• Financial Engineering
• Monte Carlo Simulation
• +۳ مورد دیگر

Mingbin (Ben) Feng is an Associate Professor in the Department of Statistics and Actuarial Science at the University of Waterloo, where he also directs the Master of Actuarial Science Program. He holds professional certifications as an Associate of the Society of Actuaries (ASA) and Certified Analytics Professional (CAP). His research focuses on advanced simulation methodologies, risk management, and the integration of machine learning with financial and actuarial applications. Education: PhD in Industrial Engineering and Management Sciences, Northwestern University (2016) MS in Industrial Engineering and Management Sciences, Northwestern University (2012) MMATH in Actuarial Science, University of Waterloo (2011) BMATH in Actuarial Science and Operations Research, University of Waterloo (2010) Research Interests: Ben’s work bridges simulation analytics, actuarial science, and financial engineering. Key areas include: Green simulation techniques for output reuse and efficiency Nested simulation for tail risk estimation in complex portfolios Machine learning applications in pricing and risk management Stochastic optimization and portfolio design under risk constraints Systemic risk analysis in financial networks Publications: His recent research emphasizes scalable simulation methods for large portfolios and tail risk quantification. Notable contributions include advancements in likelihood ratio-based techniques, importance sampling, and the integration of clustering/Gaussian processes for efficient valuation. Awards: Associate of the Society of Actuaries (ASA) Certified Analytics Professional (CAP) Advising & Labs: Ben advises a dynamic research group involving PhD, MSc, and undergraduate students. His team developed the vamc R package for variable annuity modeling. Research focuses on simulation analytics, green simulation, and financial risk applications.

Tony Wirjantoمشاهده پروفایل

استاد

• AI & Deep Learning in Cybersecurity
• Climate Change, Climate Finance & Climate Risk
• Computational Finance & Quantitative Finance
• +۲ مورد دیگر

Professor Tony Wirjanto holds dual appointments as a full professor at the School of Accounting & Finance (Faculty of Arts) and cross-appointed to the Cheriton School of Computer Science and Department of Statistics and Actuarial Science (Faculty of Mathematics) at the University of Waterloo. He specializes in econometrics and quantitative finance, with a focus on AI-driven cybersecurity, climate finance, and time series analysis. His research bridges finance, computer science, and environmental policy. Education: PhD in Econometrics from Queen’s University. He teaches courses on quantitative finance, financial econometrics, and sustainable finance. Notable grants include funding from the SOA Research Institute for climate change risk studies and SSHRC grants for systemic financial crises research. His work appears in top journals like Energy Economics and the Journal of Mathematical Finance. He leads professional initiatives at the World Economic Forum and contributes to institutes addressing climate, energy, and cybersecurity challenges.

Christopher Algarمشاهده پروفایل

دانشیار

• Biological Oceanography
• Chemical Oceanography
• Marine Microbiology
• +۳ مورد دیگر

Dr. Christopher Algar is an Associate Professor in the Department of Oceanography at Dalhousie University, Faculty of Science. His research focuses on microbial mediation of biogeochemical cycles in marine environments, particularly responses to environmental changes like global warming and ocean acidification. He employs field studies, lab experiments, and biogeochemical modeling to investigate carbon and nutrient cycling. Education: B.Sc. Chemistry, Laurentian University PhD Oceanography, Dalhousie University Research Interests: Dr. Algar investigates microbial-driven processes in marine sediments and coastal systems, including nitrogen cycling, organic carbon dynamics, and the impacts of human-induced stressors. His work emphasizes integrating field observations with reactive-transport models to predict ecosystem responses to environmental perturbations. Publications: Recent work highlights advancements in sediment characterization for carbon stock estimation, subsea permafrost dynamics, and the potential of ocean alkalinity enhancement as a climate intervention. His studies often explore microbial adaptations to hypoxic conditions and novel methods for sediment remediation in aquaculture environments. Awards/Honours: NSERC PhD Scholar Killam Scholar Advising/Grants: Dr. Algar actively seeks graduate students and collaborates on projects funded by NSERC and other agencies. His lab focuses on coastal biogeochemistry, with ongoing trials in Halifax Harbour to assess ocean alkalinity enhancement strategies. Labs/Teams: The Algar Lab at Dalhousie University integrates fieldwork, modeling, and interdisciplinary collaboration to address pressing challenges in marine biogeochemistry and climate change mitigation.

Julien Martinمشاهده پروفایل

دانشیار

• Evolutionary Ecology
• Quantitative Genetics
• Behavioral Ecology
• +۳ مورد دیگر

Julien Martin is an Associate Professor in the Department of Biology at the University of Ottawa, leading the M.A.D. Lab (Marvelous Animals Data). His research focuses on evolutionary processes shaping wild populations, particularly in yellow-bellied marmots and Alpine swifts, examining how environmental changes influence evolution and individual variation. He emphasizes quantitative genetics, behavioral ecology, and long-term monitoring. His lab promotes open science, sharing data/code via OSF, and values inclusivity and reproducibility. Education: PhD in reproductive strategies of bighorn sheep under Marco Festa-Bianchet; M.Sc. in personality in wild chipmunks under Denis Réale. He teaches biostatistics (R-based courses) and provides statistical consulting. Current students include MSc candidates Émilie Gagnon and Carol-Ann Chabot, and honors students Bernadette Chan, Mayra Monir, Maryam Musso-Bello, Serena Spallin, and Yasmeen Hichri. Collaborations span institutions like UCLA and the Rocky Mountain Biological Laboratory. Research highlights: senescence in marmots, climate impacts on traits, UAV-based habitat mapping, and genetic variance in within-individual variation. Active projects include manatee behavioral ecology in Mexico and orangutan nest studies via citizen science (Zooniverse). The lab’s reproducibility pledge includes data/code sharing at publication and training students in open science practices.

Florian Richardمشاهده پروفایل

استادیار

• Econometrics
• Financial Econometrics
• Asset Valuation
• +۳ مورد دیگر

Florian Richard is an Assistant Professor at the Department of Finance, Insurance and Real Estate within the School of Administrative Sciences (FSA ULaval) at Université Laval. His research focuses on econometrics, financial econometrics, and asset pricing, emphasizing statistical testing methodologies and multivariate modeling. Education: Doctor of Philosophy (Ph.D.) in Economics, Carleton University Master of Arts (M.A.) in Economics, Carleton University Bachelor of Arts (B.A.) in Economics and Mathematics, York University Research Interests: Florian specializes in developing simulation-based econometric techniques for model selection and validation, particularly in non-nested multivariate models. His work addresses challenges in asset pricing factor models and confidence set constructions in complex systems. Recent presentations include contributions on multiple testing frameworks at the Canadian Economics Association and Société canadienne de science économique conferences. Presentations: 19th International Conference on Computational and Financial Econometrics (2025, upcoming) 63rd Annual Meeting of the Société canadienne de science économique (2024) 57th Annual Conference of the Canadian Economics Association (2023) Working Papers: Ongoing research includes collaborations with Lynda Khalaf on model confidence sets and simulation-based testing methodologies.

Vincent Huiمشاهده پروفایل

استاد

• Design Communication
• Design Fabrication
• Architectural Pedagogy
• +۶ مورد دیگر

Professor Vincent Hui holds the position of Professor and Associate Chair (Experiential Learning and Co-operative Education) in the Department of Architectural Science at Toronto Metropolitan University. He teaches courses including ASC 101, ASC 201, ASC 755, and AR8103. His research focuses on integrating advanced technology into architectural education and practice, emphasizing design communication, digital fabrication, and architectural simulation. Education: BES (University of Waterloo) MArch (University of Waterloo) MBA (York University) Certificate in University Teaching (University of Waterloo) His work bridges architecture with emerging technologies like augmented reality and apps, reflected in projects such as In Full Bloom (Bata Shoe Museum, 2017) and Nest (Winter Station, 2018). He is recognized for innovative pedagogy and fostering student success through experiential learning programs. Professor Hui actively engages in professional activities and maintains social media presence (Twitter/Instagram).

Alireza Bakhshaiمشاهده پروفایل

استاد

• Renewable Energy Systems
• Power Electronics
• Electrical Engineering
• +۷ مورد دیگر

Dr. Alireza Bakhshai is a Professor in the Department of Electrical and Computer Engineering at Queen's University, Canada. He holds a PhD from Concordia University (1997) and has served as faculty at Isfahan University of Technology and Queen's University. His research focuses on renewable energy systems, power electronics, control systems, and multilevel converter technologies. He has supervised 15 graduate students and currently advises/co-advises eight students. His work includes contributions to electric vehicle chargers, DC microgrid control, hybrid energy storage systems, and advanced inverter topologies. Education: PhD, Electrical Engineering (Concordia University, 1997); MSc and BSc (Isfahan University of Technology, 1986 and 1984). Research Interests: Renewable energy integration, multilevel converter design, reinforcement learning applications in power systems, and efficient energy management strategies. His recent publications emphasize AI-driven control methods for microgrids and electric vehicle systems. Awards: Not explicitly stated in provided materials. Advising & Grants: Supervised 15 graduate students, currently advising four and co-advising four. His research has addressed industrial challenges such as FACTS controllers for steel mills and unified power flow controllers. Lab/Teams: Active in power electronics and renewable energy research groups at Queen's, focusing on applied industrial solutions and academic-industry collaborations.