جست‌وجوی استاد و پژوهشگر

Giusy Mazzoneمشاهده پروفایل

استادیار

• Applied Mathematics
• Partial Differential Equations
• Fluid Dynamics
• +۳ مورد دیگر

Giusy Mazzone is an Assistant Professor in the Department of Mathematics & Statistics at Queen’s University. Her research focuses on applied mathematics, particularly the analysis of partial differential equations (PDEs) in fluid mechanics and mathematical physics, with an emphasis on fluid-solid interaction problems. She holds dual Ph.D. degrees in Mechanical Engineering (University of Pittsburgh, 2016) and Mathematics (Università del Salento, 2012), along with advanced degrees from the Università degli Studi di Bari. Education: Ph.D. Mechanical Engineering, University of Pittsburgh, 2016 Ph.D. Mathematics, Università del Salento, 2012 M.Sc., Università degli Studi di Bari, 2008 B.Sc., Università degli Studi di Bari, 2006 Her research explores fluid-solid interaction dynamics, including the mathematical analysis of nonlinear PDEs governing viscous fluid motion (e.g., Navier-Stokes equations) and their coupling with solid mechanics. Key interests include stability analysis, long-time behavior of solutions, and the interplay between dissipative fluid components and conservative solid dynamics. Recent work addresses topics like harmonic oscillators with incompressible fluids, rigid body rotations with liquid-filled cavities, and nonlinear stability of spinning systems. Her publications (2011–2024) reflect a focus on fluid dynamics, PDE theory, and applied mathematics. Notable trends include investigations into viscous liquid-filled systems, inertial motions, and boundary-layer phenomena. While no awards are explicitly listed, her dual Ph.D. and prolific publication record highlight her expertise. No specific grants, labs, or student advisees are documented in the provided texts.

Beatrice Ombuki-Bermanمشاهده پروفایل

استاد

• Computational Intelligence
• Evolutionary Computation
• Swarm Intelligence
• +۶ مورد دیگر

Beatrice Ombuki-Berman is a Professor and Chair of the Department of Computer Science at Brock University, Canada. She holds a PhD in Intelligent Systems Engineering from the University of the Ryukyus, Japan, along with an ME in Information Engineering and certifications in Japanese Language Studies. Her research focuses on computational intelligence, evolutionary computation, swarm intelligence, and optimization techniques, with recent work on complex networks and drug discovery applications. Education: PhD, Intelligent Systems Engineering, University of the Ryukyus, Japan ME, Information Engineering, University of the Ryukyus, Japan BSc, Double Major in Mathematics and Statistics, Minor in Computer Science, Jomo Kenyatta University of Agriculture and Technology, Kenya Research Interests: Development of efficient computational intelligence algorithms for optimization problems, including evolutionary algorithms, particle swarm optimization, and neural networks. Applications span combinatorial optimization, multi-objective optimization, network robustness, and bioinformatics. Grants & Funding: Her research is funded by the Natural Sciences and Engineering Research Council of Canada (NSERC) and industry collaborations through Brock-Niagara VPMI and FedDev Ontario. Professional Activities: Co-Director of the Bio-Inspired Computational Intelligence Group. She is also a publicity chair for IEEE WCCI 2024 and IEEE SSCI 2025. Labs & Teams: Leads the Bio-Inspired Computational Intelligence Group, focusing on algorithm development and real-world applications.

Stephen Ancoمشاهده پروفایل

استاد

• Nonlinear Differential Equations
• Symmetry Analysis
• Integrability and Solitons
• +۴ مورد دیگر

Stephen Anco is a Professor in the Department of Mathematics and Statistics at Brock University's Faculty of Mathematics and Science. His research focuses on nonlinear differential equations, symmetry analysis, integrability, solitons, and mathematical physics. He received his BSc from Caltech and MS/PhD from the University of Chicago. Anco's research interests include nonlinear wave equations, geometric curve flows, conservation laws, and integrable systems. His work connects mathematical physics with applications in fluid dynamics, magnetohydrodynamics, and gauge field theories. His publications demonstrate strong themes in soliton dynamics, conservation law derivation, and symmetry methods for PDEs. Recent work explores peakon equations, fluid invariants, and geometric integrable systems. Distinguished Research Award, Faculty of Mathematics & Science (2015) Anco has supervised over 25 graduate students (PhD and MSc) in mathematics and theoretical physics, with research spanning soliton interactions, conservation laws, and geometric flows. He maintains international collaborations and has co-authored influential textbooks on symmetry methods for differential equations.

Jan Vrbikمشاهده پروفایل

استاد

• Celestial Mechanics
• Probability and Statistics
• Monte Carlo Techniques
• +۳ مورد دیگر

Jan Vrbik is a Professor of Mathematics at Brock University, affiliated with the Department of Mathematics and Statistics. His research spans Celestial Mechanics, Probability and Statistics, and Monte Carlo techniques. He holds a PhD and MSc from the University of Calgary, and completed his BSc and MSc at Charles University in Prague. Vrbik's work focuses on perturbed Kepler problems, statistical inference for autoregressive models, and numerical solutions to integral equations. His contributions include advancements in celestial mechanics via quaternionic methods and Monte Carlo simulations for quantum chemistry. He has published extensively in journals such as *Celestial Mechanics and Dynamical Astronomy*, *Communications in Statistics*, and *Journal of Chemical Physics*. He teaches courses including Probability, Mathematical Statistics, and Numerical Analysis. His research interests also encompass statistical distributions, confidence interval construction, and applications of numerical methods in engineering and physics.

Marie-Josée Fortinمشاهده پروفایل

استاد

• Spatial ecology
• Network theory
• Species dispersal
• +۹ مورد دیگر

Marie-Josée Fortin is a Professor and Canada Research Chair in Spatial Ecology at the University of Toronto's Department of Ecology and Evolutionary Biology. Her research program examines how global changes affect species spatial dynamics at landscape and geographical scales in forested ecosystems and aquatic networks. She integrates spatial ecology, conservation biology, disturbance ecology, and network theory to study biodiversity conservation. Her research focuses on quantifying species distribution dynamics, developing ecosystem monitoring indicators using network theory, investigating species responses to landscape heterogeneity, modifying spatial graph algorithms for connectivity analysis, designing resilient reserve networks, and assessing synergetic disturbance effects on biodiversity. Recent publications demonstrate strong emphasis on spatial connectivity modeling, ecosystem resilience, climate change impacts on biodiversity, and advanced monitoring technologies. Her work consistently bridges theoretical ecology with practical conservation applications. Awards and recognitions include: Fellow of the Royal Society of Canada Canada Research Chair Tier 1 in Spatial Ecology Konrad Adenauer Research Award (2025) Massey Medal (2024) She leads an active research lab supervising graduate students and postdoctoral fellows. Current projects include NSF-funded work on ecosystem monitoring and international collaborations on landscape genetics. The Fortin Lab maintains extensive partnerships with researchers across North America and Europe. Her team develops field instruments for in-situ ecological monitoring and maintains collaborations with conservation agencies to implement research findings in protected area management.

Adam Baxter-Jonesمشاهده پروفایل

استاد

• Exercise Physiology
• Auxology
• Human Growth
• +۷ مورد دیگر

Adam Baxter-Jones is a Professor at the University of Saskatchewan within the College of Kinesiology . He also serves as the Interim Associate Provost, Health in the office of the Provost and VP Academic. His academic journey includes: 1985 - B.Sc. (Hons) in Biology from New University of Ulster, UK 1995 - Ph.D. in Medical Sciences from University of Aberdeen, UK His research focuses on child and youth health and development , with specializations in: Exercise Physiology Auxology (Study of Human Growth) Longitudinal Bone and Fat Development Talent Identification in Youth Sports Key publications reveal trends in biological maturation , motor coordination , and bone health across diverse populations including youth athletes and children with chronic conditions. His work spans: Canadian Institutes of Health Research (CIHR) Social Sciences and Humanities Research Council (SSHRC) Canada Foundation for Innovation (CFI) Dairy Farmers of Canada Students under his supervision include: Hidalgo-Mazzei Aaron (M.Sc., University of Saskatchewan) Costa Daniela (Ph.D., University of Coimbra, Portugal) Abarghoueinejad M. (M.Sc., University of Saskatchewan)

Blake Dyerمشاهده پروفایل

استادیار

• Earth History
• Sedimentology
• Stratigraphy
• +۱ مورد دیگر

Blake Dyer is an Assistant Professor in Earth and Ocean Sciences at the University of Victoria. His research investigates Earth history through sedimentary records, employing statistical approaches and geochemical analyses of carbonate rocks to reconstruct past climate conditions and sea-level changes. Dyer's work integrates field geology with computational modeling to interpret complex geological archives. Research focuses on: Sea-level change reconstruction from carbonate sediments Stratigraphic expression of climate events Isotope geochemistry applications Machine learning in geological analysis Recent publications examine Last Interglacial sea levels using U-series dating of Caribbean reefs and machine learning quantification of Antarctic ice discharge events. He supervises graduate students working on Neoproterozoic chemostratigraphy and Pacific paleoceanography. Dyer's team conducts fieldwork globally including the Canadian Rockies, Turks and Caicos, and Australia. Current projects examine sedimentary responses to climate change across geological timescales.

Hui Jiangمشاهده پروفایل

استاد

• Machine Learning
• Statistical Pattern Classification
• Speech and Audio Processing
• +۶ مورد دیگر

Hui Jiang is a Professor in the Department of Electrical Engineering and Computer Science at the Lassonde School of Engineering, York University in Toronto, Canada. He holds the professional engineering designation (P.Eng) and maintains an active research program in machine learning and artificial intelligence with an office located in Room 3014 of the Lassonde Building at 4700 Keele Street. Dr. Jiang's research focuses on machine learning and artificial intelligence, with particular emphasis on deep learning theory and methods, as well as their applications in speech and language processing and computer vision. His work spans from fundamental machine learning concepts to cutting-edge AI technologies including transformers, diffusion models, and neural network architectures. He has developed methods such as the Fixed-size Ordinally Forgetting Encoding (FOFE) for named entity recognition and contributed significantly to convolutional neural networks for speech recognition. His publication timeline shows consistent contribution to the field, beginning with foundational work in speech recognition and progressing to comprehensive frameworks in machine learning. His recent work focuses on explaining complex AI concepts through his blog and textbook, demonstrating a commitment to both research advancement and education in the AI community. IEEE SPS Best Paper Award (2016) for "Convolutional Neural Networks for Speech Recognition" Dr. Jiang has authored the textbook "Machine Learning Fundamentals" published by Cambridge University Press in 2021, which provides a comprehensive introduction to both traditional machine learning methods and modern deep learning techniques. He maintains an active technology blog where he shares detailed technical insights on machine learning concepts, with recent posts covering diffusion models, transformers, and GPT architecture. His complete publication list is available on his Google Scholar profile, and he can be reached via email at huijiang@yorku.ca for academic and research inquiries.

Marzieh Ahmadzadehمشاهده پروفایل

دانشیار

• Computer Science Education
• Human-Computer Interaction
• Applied Data Mining
• +۳ مورد دیگر

Dr. Marzieh Ahmadzadeh is an Associate Professor (Teaching Stream) at the Department of Electrical Engineering & Computer Science, York University. She holds a Ph.D. and MSc in Information Technology (Software Engineering) from the University of Nottingham, UK, and a BSc in Computer Engineering from Isfahan University. A certified Professional Engineer (P.Eng.) in Ontario, she has held academic positions at Shiraz University of Technology, University of Toronto, and University of Georgia, USA before shifting her focus to education research in 2015. Education: Ph.D., Information Technology (Software Engineering), University of Nottingham (2006) MSc, Information Technology (Software Engineering), University of Nottingham (2002) BSc, Computer Engineering, Isfahan University Her research intersects Computer Science Education and Human-Computer Interaction , with a focus on Applied Data Mining for educational analytics and security applications. She has published in prestigious venues like ACM SIGCSE, IEEE Transactions, and Future Generation Computer Systems. Recent publications demonstrate expertise in: Exam design and cognitive load optimization Ransomware detection in fog computing environments Breast cancer survivability modeling with imbalanced data Gender preferences in e-commerce UX design Academic integrity analysis in programming education

Sunila Akbarمشاهده پروفایل

استادیار

• Machine Learning
• Wireless Communications
• Radar Systems
• +۳ مورد دیگر

Sunila Akbar serves as a Sessional Assistant Professor in the Teaching Stream at York University's Lassonde School of Engineering within the Department of Electrical Engineering & Computer Science, a position she assumed in July 2024 after previously working as a Postdoctoral Fellow and Instructor at the University of Toronto's Department of Electrical and Computer Engineering since October 2021. Her academic foundation includes a Ph.D. from King's College London, UK (2018), earned under the prestigious Commonwealth Scholarship program. Dr. Akbar's research integrates machine learning with radar and wireless systems, focusing on cognitive resource management optimization and statistical modeling for spectral/energy-efficient networks. Her work demonstrates strong interdisciplinary connections between artificial intelligence, signal processing, and communication theory with practical engineering applications. Her distinguished recognitions include: Commonwealth Scholarship Senior Member of IEEE Fellow of Advance Higher Education, UK As Associate Editor for the IEEE Canadian Journal of Electrical and Computer Engineering since June 2022, she actively contributes to academic discourse while championing example-based teaching methodologies that bridge theoretical concepts with real-world implementations in inclusive learning environments.

Madhur Anandمشاهده پروفایل

استاد

• global ecological change
• sustainability science
• forest ecology
• +۳ مورد دیگر

Madhur Anand is a Professor at the University of Guelph's School of Environmental Sciences, where she leads research on global ecological change and sustainability. Her work integrates empirical studies of forest ecosystems with advanced computational modeling to address biodiversity loss, climate impacts, and human-environment interactions. She holds a Canada Research Chair in Global Ecological Change (2006–2011) and collaborates globally with institutions in Brazil, China, India, and beyond. Her research focuses on: Global Ecological Change : Assessing climate impacts on biodiversity using multi-scale models. Socio-Ecological Systems : Analyzing feedback between human behavior and environmental tipping points. Machine Learning Applications : Developing predictive tools for ecological crises (e.g., droughts, disease outbreaks). Recent publications (2022–2025) emphasize coupled human-environment dynamics, with trends in machine learning integration ( e.g., deep learning for bifurcation detection ) and interdisciplinary approaches to climate mitigation. Awards include the Premier’s Research Excellence Award (2002–2007), 'Top 40 Under 40' (Guelph Mercury, 2009), and recognition from the Indo-Canada Chamber of Commerce (2012). Her lab is funded by NSERC, CFI, and international grants, focusing on field sites in Canadian forests and tropical ecosystems. Current projects examine forest resilience, agroecosystem sustainability, and socio-climate modeling to inform conservation policy.

• Applied Mathematics
• Statistics
• Theoretical Mathematics
• +۱ مورد دیگر

Ting-Hao Hsu is a Postdoctoral Fellow in the Department of Mathematics and Statistics at the University of New Brunswick (UNB), located in Fredericton. His role focuses on research and academic contributions within his field. While specific research interests are not detailed in the provided text, his affiliation with the Mathematics and Statistics department suggests expertise in areas such as statistical modeling, mathematical analysis, or computational methodologies. Further details about his research focus, grants, or educational background are not explicitly mentioned here. No awards, publications, or advised students are listed in the available information. For inquiries, he can be contacted at t.hsu@unb.ca.

• Quantum physics
• Condensed matter physics
• Theory of strongly correlated quantum systems
• +۳ مورد دیگر

Jesko Sirker is a Professor in the Department of Physics and Astronomy at the University of Manitoba's Faculty of Science. He maintains his office in room 515 Allen Building and can be reached at 204-474-6192 or sirker@physics.umanitoba.ca. His primary research interests focus on quantum physics and condensed matter physics , with specialization in theory of strongly correlated quantum systems and non-equilibrium Statistical Mechanics . His work particularly addresses topological aspects of quantum systems, non-Hermitian Hamiltonians, and open quantum systems. Recent research trends show his focus on clarifying topological properties in non-Hermitian systems, as evidenced by his February 2025 publication in Physical Review Letters addressing the relationship between zero modes and topology in multiband non-Hermitian systems. He has been actively engaged in scientific discourse regarding quantum computing claims, particularly challenging Microsoft's assertions about topological qubits. Professor Sirker maintains an active presence in academic discussions, particularly regarding science policy, research integrity, and the impact of political decisions on academic freedom and scientific progress.

David Bremnerمشاهده پروفایل

استاد

• Programming Languages
• Computational Geometry
• Mathematical Optimization
• +۳ مورد دیگر

David Bremner is a Professor of Computer Science at the University of New Brunswick (UNB) with a cross-appointment to the Department of Mathematics and Statistics. He holds degrees from the University of Calgary (B.Sc. Hons., 1990), Simon Fraser University (M.Sc., 1993), and McGill University (Ph.D., 1997). After a postdoctoral fellowship at the University of Washington (1997-1999), he joined UNB in 2000. His research focuses on Programming Languages, Computational Geometry, and Mathematical Optimization. He teaches courses such as Programming Language Interpretation and contributes to software projects like inetools and Sparktope . Active in academic service, he organizes programming competitions and oversees graduate studies. His work emphasizes practical applications in memory management, JIT compilation, and algorithm design.

Abdul A. Husseinمشاهده پروفایل

استاد

• Sequential analysis
• Survival analysis
• Finite mixtures
• +۳ مورد دیگر

Dr. Abdul A. Hussein is a Professor in the Department of Mathematics and Statistics at the University of Windsor's Faculty of Science. He holds a Ph.D. from the University of Alberta. His research focuses on sequential analysis, survival analysis, finite mixtures, statistical process control, and health outcomes research. He has supervised multiple master’s students and is actively seeking Ph.D. candidates with expertise in probability theory and stochastic processes. His work spans theoretical and applied statistics, including contributions to nonparametric methods, robust estimation, and clinical trial design. Notable collaborations include studies on pediatric safety interventions and medical device reliability. He has secured research grants supporting projects in sequential analysis and health outcomes. His publications emphasize methodological advancements in statistical testing and applications to biomedicine. Dr. Hussein teaches advanced courses and mentors students in statistical theory and computational methods.