جست‌وجوی استاد و پژوهشگر

Peter Lelievreمشاهده پروفایل

دانشیار

• Geophysical Inversion
• Computational Geophysics
• Mathematical Modeling
• +۴ مورد دیگر

Peter Lelievre is an Associate Professor in the Department of Mathematics and Computer Science at Mount Allison University. His research focuses on advancing geophysical inversion technology to improve subsurface imaging for applications in flood risk management, resource exploration, and environmental monitoring. He emphasizes collaborative, interdisciplinary approaches combining mathematics, computer science, and geophysics. His work addresses computational challenges in geophysical inversion, including unstructured mesh modeling, machine learning integration, and uncertainty quantification. He leads a research group prioritizing diversity and innovation, with current projects involving geophysical imaging of agricultural dykes and seafloor massive sulphide deposits. Recent publications span magnetic surface inversion, transient electromagnetic data analysis, and gravity modeling of crustal systems. Lelievre collaborates on initiatives like the AARMS-CRG Numerical Solution of Geophysical Inverse Problems, fostering discussion on optimization methods and joint inversion strategies. His team includes postdoctoral fellows, undergraduate researchers, and technical staff, with notable contributions to software development for geophysical analysis.

Gyanendra Pokharelمشاهده پروفایل

دانشیار

• Biostatistics
• Cancer epidemiology
• Bayesian & computational statistics
• +۴ مورد دیگر

Dr. Gyanendra Pokharel serves as an Associate Professor in the Department of Mathematics and Statistics at the University of Winnipeg. He concurrently holds an adjunct appointment as Assistant Professor in the Department of Community Health Sciences at the University of Manitoba. His educational qualifications include: Ph.D. in Applied Statistics from the University of Guelph, Canada M.Sc. in Applied Mathematics from Wilfrid Laurier University, Canada M.Sc. in Pure Mathematics from Tribhuvan University, Nepal B.Sc. in Mathematics from Tribhuvan University, Nepal Dr. Pokharel's research spans Biostatistics , Cancer Epidemiology , Bayesian & Computational Statistics , and Infectious Disease Modeling . He develops advanced methodologies for spatial infectious disease surveillance, including emulation-based inference and ensemble learning techniques. His cancer epidemiology work focuses on breast cancer stage-shifting through simulation studies, while his rheumatology research employs network meta-analysis to evaluate treatment effectiveness. His expertise in Statistical Learning enables innovative classification and clustering approaches for complex health data. Analysis of his 15 most recent publications (2014-2024) reveals a dominant focus on infectious disease modeling (60% of articles), particularly spatial-temporal methods and machine learning applications. Biostatistics contributions (40%) center on cancer epidemiology and rheumatology, featuring network meta-analyses and discrete-choice experiments for patient preference studies. His work consistently integrates computational statistics with real-world health challenges. No specific scientific awards are documented in the provided materials, though his research is competitively funded. Dr. Pokharel actively mentors students through his NSERC Discovery Grant-funded projects. He teaches advanced statistical computing courses (STAT 2903/3904) and core statistics courses (STAT 1301/1302), with past instruction in statistical learning (STAT 4103). Prospective graduate students in biostatistics, spatial statistics, or machine learning applications are encouraged to contact him for research opportunities.

Edward Gregrمشاهده پروفایل

استاد مدعو

• Ecosystem Services
• Spatial Modeling
• Risk Assessment
• +۱ مورد دیگر

Edward Gregr is an Adjunct Professor and Systems Ecologist studying ecosystem services, risk assessment, and spatial modeling. His research examines human-ecosystem interactions, focusing on kelp forest dynamics and sea otter trophic cascades. He develops collaborative modeling approaches to support ecosystem-based management in complex social-ecological contexts.

Sean Carrollمشاهده پروفایل

استاد

• Quantum Mechanics
• Cosmology
• Statistical Mechanics
• +۳ مورد دیگر

Sean Carroll is the Homewood Professor of Natural Philosophy at Johns Hopkins University and holds the Fractal Faculty position at the Santa Fe Institute. His research focuses on foundational questions in quantum mechanics, spacetime, statistical mechanics, complexity, and cosmology. He explores interdisciplinary connections between physics and philosophy, emphasizing topics like the nature of reality, consciousness, and scientific metaphysics. His popular works include The Biggest Ideas in the Universe and the Mindscape podcast, which engage audiences with accessible explanations of complex scientific and philosophical concepts. Carroll’s academic contributions span theoretical physics and philosophy, addressing challenges such as the quantum measurement problem, the arrow of time, and the interpretation of quantum mechanics. He critiques speculative ideas like Boltzmann brains and advocates for naturalism in understanding existence. His work bridges technical research and public communication, making advanced topics accessible to broader audiences without sacrificing depth.

Dana Grecovمشاهده پروفایل

استاد

• Liquid Crystals
• Nanomaterials
• Biofluid Mechanics
• +۵ مورد دیگر

Dr. Dana Grecov is a Professor and Associate Head of Research & Graduate Studies in the Department of Mechanical Engineering at the University of British Columbia (UBC). She holds a B.Eng. from the University Politehnica of Bucharest and a PhD in Fluid Mechanics from the Institut National Polytechnique de Grenoble, France. Her postdoctoral research was conducted at McGill University. Dr. Grecov’s research focuses on interdisciplinary areas including liquid crystals, nanomaterials, biofluid mechanics, and non-Newtonian fluid dynamics. She has over 25 years of experience in complex fluids research and has published over 150 peer-reviewed articles. Her work integrates experimental, analytical, and numerical methods to address challenges in biomedical engineering, tribology, and sustainable materials. Dr. Grecov has received prestigious awards such as the CFI Leaders Opportunity Award (2007), Peter Wall Early Career Scholar Award (2007), and NSERC Discovery Accelerator Award (2016). She actively chairs sessions at international conferences and has advised over 70 graduate and undergraduate students. Her laboratory, the Industrial and Biological Multiphysics Laboratory, explores innovations in bio-lubricants, rheological characterization of synovial fluid, and hemodynamics of artificial heart valves. She collaborates across disciplines, including material science, computer science, and clinical medicine, to advance healthcare solutions. Her research spans from fundamental studies of liquid crystal microstructures to applied work in medical device design and sustainable engineering. Dr. Grecov’s contributions to fluid dynamics modeling and nanomaterials have significant implications for industrial processes and biomedical applications.

Ben A. Chaouchمشاهده پروفایل

استاد

• Inventory Management
• Production and Operations Management
• Stochastic Models
• +۳ مورد دیگر

Ben A. Chaouch is a Professor of Management Science at the Odette School of Business, University of Windsor. He holds a Ph.D. from the University of Waterloo, an M.A. in Operations Research from Stanford University, and a B.A. in Mathematics and Statistics from the University of Algiers. His research focuses on inventory management, stochastic models, production and operations management, and operations research. Notable contributions include work on optimal stocking policies under uncertainty, surgical scheduling optimization, and heuristic algorithms for complex logistical problems. Chaouch has been a faculty member at the University of Windsor since 1987, progressing from Assistant Professor (1987–1995) to Associate Professor (1995–2014) before attaining his current rank in 2014. He has secured multiple grants, including funding for studies on operating room scheduling, inventory systems, and healthcare logistics. His publications span prestigious journals like International Journal of Production Research , European Journal of Operational Research , and Health Care Management Science . He has presented research at conferences such as the CORS/INFORMS International Meetings and the Administrative Sciences Association of Canada.

Cherie Woolmerمشاهده پروفایل

استادیار

• Students as Partners in SoTL
• Co-creating curriculum and assessment
• Equity and inclusion in partnerships
• +۳ مورد دیگر

Dr. Cherie Woolmer is an Assistant Professor and Canada Research Chair (Scholarship of Teaching and Learning) at Mount Royal University, based in the Mokakiiks Centre for SOTL. She specializes in student-faculty partnerships, equity in education, and institutional culture transformation. Her work integrates critical pedagogy and socio-cultural approaches to co-creating curricula and fostering inclusive educational environments. Education: PhD (Education), University of Glasgow MBA (Public Services), University of Brighton B.A. (Hons) Linguistics, University of Essex Postdoctoral Research Fellow, McMaster University Research Interests: Student partnerships in SoTL Equity-focused curricula design Institutional cultures of collaboration Knowledge mobilization strategies Her publications emphasize co-creation processes, risk management in partnerships, and leadership development in academia. Professional Contributions: Co-facilitates Mount Royal’s SoTL Development Program Runs workshops on pedagogical partnerships and SoTL methodologies Consults with faculty and students on SoTL projects Awards: Canada Research Chair (Scholarship of Teaching and Learning) Her work bridges theory and practice, addressing systemic inequities through innovative educational leadership and capacity-building initiatives.

April Jamesمشاهده پروفایل

دانشیار

• Catchment Hydrology
• Stable Isotope Hydrology
• Streamflow Generation
• +۳ مورد دیگر

Dr. April James is an Associate Professor in the Department of Geography at Nipissing University and holds the Canada Research Chair in Watershed Analysis and Modeling (2010–2025). She is also an Adjunct Associate Professor at Laurentian University's Vale Living With Lakes Centre. Her research focuses on catchment hydrology, stable isotope hydrology, and interdisciplinary approaches to water resource management. She leads the Integrative Watershed Research Centre (IWRC), monitoring Lake Nipissing’s water quality and investigating nutrient dynamics, climate impacts, and watershed classification. Her work bridges field studies, modeling, and environmental tracer techniques, emphasizing the Canadian Shield’s unique hydrological processes. Dr. James earned her BEng in Engineering Physics from the Royal Military College of Canada (1992), MSc in Earth Sciences from Clemson University (1994), and PhD in Geography from McGill University (2005). Her expertise includes watershed modeling (e.g., SWAT-CS), stable isotope applications, and environmental policy. Key projects include the Lake Nipissing Bays Project and the Dorset Catchments long-term monitoring initiative. She collaborates internationally on topics like ecohydrology, transdisciplinary sustainability science, and climate change impacts on water systems. Her research output spans over 50 peer-reviewed articles, emphasizing hydrological processes, modeling innovations, and water resource sustainability. She actively engages in community-based research, supporting precision agriculture and environmental stewardship in northern Ontario. Her lab employs cutting-edge tools like Bayesian modeling, high-frequency sensors, and remote sensing to address complex water challenges.

Jens Franckمشاهده پروفایل

استاد

• Molecular Evolutionary Biology
• Genetics
• Calcium Signaling
• +۳ مورد دیگر

Jens Franck is the Biology Department Chair at the University of Winnipeg's Richardson College for the Environment and Science Complex. His research focuses on molecular evolutionary biology and genetics, particularly investigating ryanodine receptors (RyRs) and their roles in calcium signaling pathways critical to muscle function. Using zebrafish and medaka as model systems, his work explores gene duplication events and their impact on gene subfunctionalization in vertebrates. Research Interests: Molecular Evolution of RyR genes, Calcium Homeostasis, Evolutionary Adaptation in Fish, and Convergent Evolutionary Mechanisms. Current projects investigate genetic bases of endothermy in fish and regulatory differences in calcium-related genes. Lab Website: francklab.html (Note: Link currently returns 404; may need update). He actively accepts applications from prospective graduate students and post-doctoral researchers, emphasizing interdisciplinary approaches in evolutionary biology and molecular genetics.

• Customer Relationship Management (CRM)
• Service Quality
• Retail Services
• +۳ مورد دیگر

Gordon Fullerton is a Professor at the Sobey School of Business, Saint Mary's University, where he serves as Academic Co-Coordinator for the Master of Technology Entrepreneurship and Innovation program. His research focuses on customer commitment, service quality, and CRM systems within retail and service industries. He has extensively studied the interplay between customer satisfaction, trust, and loyalty, particularly in banking and retail sectors. Key research themes include psychological impacts of waiting experiences, mediation effects in service quality studies, and CRM system typologies. Fullerton's work emphasizes practical applications for enhancing customer retention and loyalty through strategic engagement and commitment management. No scientific awards or grants are explicitly mentioned in the provided text. He has advised no named students, and no lab affiliations are noted. His professional activities include academic coordination roles and ongoing contributions to services marketing theory.

Abbas Golestantiمشاهده پروفایل

استاد

• Chaotic Systems
• Long-Term Forecasting
• Climate Science
• +۳ مورد دیگر

Abbas Golestanti is a Professor in the Department of Computer Science at the University of Windsor. His research focuses on forecasting trends in chaotic systems, including climate change and financial markets. His work addresses long-term prediction challenges through computational models. Dr. Golestanti's research interests span chaotic systems, predictive modeling, and interdisciplinary applications in climate science and economics. His 2014 study highlighted innovative approaches to analyzing complex systems. No specific awards, grants, or laboratory affiliations are detailed in the provided text. No doctoral/master’s students or advising roles are mentioned.

Daniela Quailمشاهده پروفایل

استادیار

• Tumor Microenvironment
• Cancer Metastasis
• Inflammatory Conditions
• +۳ مورد دیگر

Daniela Quail is an Assistant Professor in the Department of Physiology at McGill University, affiliated with the Rosalind and Morris Goodman Cancer Centre. Her research focuses on the tumor microenvironment's role in cancer progression, particularly how chronic inflammation (e.g., obesity-induced systemic inflammation) and immune cell dynamics in the brain influence metastasis and tumor outcomes. She also explores the blood-brain barrier's disruption in gliomas and metastatic brain tumors. Education: B.Sc., Ph.D., University of Western Ontario Postdoctoral Fellowship, Memorial Sloan Kettering Cancer Center Research Interests: Her work combines two central themes: 1) obesity's impact on microenvironmental landscapes in secondary organs (lung, liver, brain, bone) to modulate metastasis efficiency; 2) immune cell infiltration in brain tumors (e.g., gliomas, lung cancer metastases) and their effects on tumor progression. Techniques include immunological and molecular profiling of tumor niches, and preclinical models to dissect inflammation-driven mechanisms. Publications Overview: Her studies highlight obesity-driven myeloid cell alterations promoting lung metastasis via cytokines (e.g., IL5, GM-CSF), the role of cathepsin S in brain metastasis, and resistance mechanisms to CSF-1R inhibitors in gliomas. Her work bridges tumor biology with systemic inflammatory and immunological contexts. Lab & Affiliations: Her lab is located in Room 411 of McGill’s Life Sciences Complex (address: 1160 Avenue Des Pins Ouest, Montréal).

• Cell Biology
• Molecular Biology
• Nuclear Transport
• +۳ مورد دیگر

Ursula Stochaj is an Associate Professor in the Department of Physiology at McGill University . Her research focuses on the functional organization of the nucleus, particularly nuclear envelope proteins, nuclear transport mechanisms, and stress responses. She uses yeast and mammalian cell models to study chromatin organization, macromolecule trafficking, and cellular metabolism under stress conditions. Education: Diploma and Ph.D. in Physiology from the University of Cologne, Germany. Research Interests: Her work addresses how stress (e.g., oxidative, metabolic) impacts nuclear transport pathways, with implications for cancer and neurodegenerative diseases. Key areas include nuclear envelope dynamics, VCP protein function, and nanoparticle toxicity in cells. Lab Activities: The Stochaj lab collaborates on projects like nanomaterials for glioblastoma treatment and has produced a public-facing podcast on VCP (2025). They were finalists in the NSERC Science Exposed contest. Grants and Collaborations: Ongoing projects involve interdisciplinary collaborations (e.g., with Concordia University’s Capobianco lab) and funding from Canadian agencies. Her research bridges fundamental cell biology with translational applications in disease modeling. Labs/Teams: Hosts a lab focused on nuclear transport and stress biology, with a strong emphasis on training graduate students and postdoctoral researchers in advanced microscopy and biochemical techniques.

• Labor Law
• Employment Law
• Public Policy
• +۷ مورد دیگر

Dalia GESUALDI-FECTEAU is a Full Professor (Professeure titulaire) at the École de relations industrielles within the Faculté des arts et des sciences at the Université de Montréal. Her research focuses on public policies in labor and employment, access to law and justice, and the challenges faced by precarious workers. She holds a PhD in Law from the Université de Montréal (2015). Education: Doctorat en Droit, Université de Montréal (2015) Research Interests: She examines labor law effectiveness, migrant workers' rights, temporary foreign worker programs, labor inspection, and work time regulation. Her work bridges legal frameworks with socio-legal analysis, emphasizing structural barriers to justice. Key Projects: Lead researcher in the CRIMT (Centre de recherche interuniversitaire sur la mondialisation et le travail), focusing on labor fragmentation and justice access. Investigates the impact of Quebec’s new forestry regime on Indigenous workers' conditions. Awards: 2016: Best Doctoral Thesis Prize, Association Henri-Capitant and Université de Montréal. 2021-2023: Chair on the Effectiveness of Labor Law at UQAM. Teaching & Supervision: Teaches courses like Modèles du droit du travail québécois and oversees over 12 thesis students. Current research includes labor conditions in the pandemic and migrant worker protections. Affiliations: Member of the Quebec Ethics Commission and CCSM/IRCC advisory boards. Director of the CRIMT and member of ADAJ (Access to Law and Justice). Publications: Over 30 peer-reviewed articles and books, including analyses of labor law fragmentation and pandemic-era work regulations.

Antoine Dezaمشاهده پروفایل

استاد

• Applied Computing
• Theory of Computation
• Digital & Smart Systems
• +۳ مورد دیگر

Antoine Deza is a Professor in the Department of Computing and Software at McMaster University, part of the Faculty of Engineering. His research focuses on applied computing, theory of computation, and digital & smart systems, with a strong emphasis on discrete geometry, optimization algorithms, and combinatorial problems. He is actively involved in optimizing systems for transportation, energy, and infrastructure, leveraging geometric and computational methods. His work explores geometric structures such as polytopes and zonotopes, with applications to network design, stochastic modeling, and resource allocation. Key themes include sparsity-inducing norms, congestion management in charging networks, and robust optimization for industrial processes. He also contributes to foundational topics in discrete mathematics, including packing problems and lattice geometry. Deza collaborates on interdisciplinary projects, particularly in digital systems and smart infrastructure. He is currently accepting graduate students and maintains a lab focused on advancing optimization techniques and their practical applications. His research bridges theoretical insights with real-world challenges in engineering and computational science.