جستجوی استاد راهنمای دانشگاهی

Piotr Zwiernikمشاهده پروفایل

دانشیار

• Statistical Computing
• Theoretical Statistics
• High-dimensional Statistics
• +۷ مورد دیگر

Piotr Zwiernik is an Associate Professor in the Department of Statistical Sciences at the University of Toronto's Faculty of Arts and Science, with a cross-appointment in the Department of Mathematics. Currently on leave from the University of Toronto, he is based in Barcelona following his return in July 2025. His academic journey includes a PhD in Statistics from the University of Warwick (2011), research positions at prestigious institutions including Mittag Leffler Institute, IPAM, TU Eindhoven, UC Berkeley, and the University of Genoa, and an Assistant Professorship at Universitat Pompeu Fabra in Barcelona (2016-2021). His research spans the intersection of statistics, mathematics, and computational methods, with particular emphasis on graphical models, covariance matrix estimation, convex analysis, tensors, and algebraic and combinatorial methods in statistics. Zwiernik's work demonstrates a consistent focus on high-dimensional statistics, mathematical statistics, and elegant theoretical frameworks that bridge abstract mathematics with practical statistical applications. His recent publications reveal a deepening exploration of tensor analysis, algebraic statistics, and the geometric properties of statistical models. Zwiernik serves as an associate editor for leading journals including Biometrika, Scandinavian Journal of Statistics, and Algebraic Statistics. His research program includes the development of the GOLAZO R package for asymmetric regularization of log-likelihood in Gaussian graphical models. As an academic leader, he has served as Associate Chair for Research in his department and actively participates in numerous international conferences and workshops, reflecting his significant standing in the statistical community. His recent publications show a strong trend toward algebraic and geometric approaches to statistical problems, with increasing focus on tensor methods, positivity constraints in statistical models, and the theoretical foundations of graphical models. The work demonstrates remarkable continuity in exploring the mathematical structures underlying statistical models while adapting to emerging challenges in high-dimensional data analysis. Zwiernik is committed to mathematical accessibility and education, guided by Federico Ardila's four axioms which emphasize equitable distribution of mathematical potential, joyful mathematical experiences, mathematics as a malleable tool, and treating every student with dignity and respect. He actively seeks PhD students with strong mathematical backgrounds for research at UPF or the Institute of Mathematics of UPC.

Aurélie Labbeمشاهده پروفایل

استاد

• Data Science
• Statistical Learning
• Machine Learning
• +۷ مورد دیگر

Aurélie Labbe is a Full Professor in the Department of Decision Sciences at HEC Montréal, holding the prestigious FRQ-IVADO Chair in Data Science. Appointed as Co-Scientific Director – Academic Partnerships at IVADO in October 2023, she plays a key leadership role in establishing connections between IVADO and partner universities. Her academic journey includes a PhD in Statistics from the University of Waterloo, a Master's degree in Statistics from the University of Montreal, and dual Bachelor's degrees in Applied Mathematics and Social Sciences from Paris-Dauphine University and Pure Mathematics from Versailles-St Quentin University. Her research spans multiple interdisciplinary domains with a focus on developing advanced statistical and machine learning methodologies for big data analysis. Labbe's work bridges theoretical statistics with practical applications across diverse fields including genomics, neuroscience, transportation systems, and health informatics. She has made significant contributions to kernel methods, matrix factorization techniques, random forest applications, and spatiotemporal data analysis, with publications appearing in top journals across multiple disciplines. Analyzing her recent publications reveals a clear trend toward methodological innovation applied to complex real-world problems. Her work demonstrates expertise in handling high-dimensional data from diverse sources including neuroimaging, transportation networks, and genomic studies. The interdisciplinary nature of her research connects statistical theory with applications in healthcare, transportation safety, and biological sciences, reflecting her ability to develop methods that address domain-specific challenges while advancing statistical methodology. Holder of the FRQ-IVADO Chair in Data Science Member of the Center for Mathematical Research Training Professor Labbe actively mentors the next generation of data scientists, supervising numerous doctoral and master's students. Her supervision portfolio includes 1 doctoral thesis (2023), 4 master's theses (2022-2024), and 32 supervised projects spanning 2019-2025. Her students' work covers diverse applications including transportation safety, healthcare analytics, financial modeling, and environmental analysis. Through her leadership of the FRQ-IVADO Chair in Data Science, she coordinates research activities that integrate mathematical, statistical, and computer science expertise with domain knowledge from various data-generating fields. As Co-Scientific Director at IVADO, Professor Labbe leads efforts to establish connections with faculties and departments across five partner universities, integrating them into IVADO's research and knowledge transfer activities. Her leadership role positions her at the forefront of advancing data science research and applications in Quebec's academic ecosystem.

Kenneth Edwin Barkerمشاهده پروفایل

استاد

• Privacy Preserving Data Repositories
• Database Management Systems
• Data Privacy and Security
• +۴ مورد دیگر

Dr. Kenneth Edwin Barker is a Professor in the Department of Computer Science within the Faculty of Science at the University of Calgary, where he also serves as Director of the Institute for Security, Privacy and Information Assurance (ISPIA). His academic career spans several decades with significant contributions to database systems and privacy research. Dr. Barker earned his B.S. and M.S. in Computer Science from the University of Calgary in 1982 and 1984 respectively, followed by a Ph.D. in Computer Science from the University of Alberta in 1990. His educational background established the foundation for his extensive research career in database systems and information security. His primary research interests focus on Privacy Preserving Data Repositories , with specific attention to protecting privacy in mobile applications, understanding privacy's impact on data analytics, and architecting database management systems that inherently respect user privacy. His work also extends to distributed database environments, integration of legacy systems, and multidatabase environments. Dr. Barker's research bridges theoretical foundations with practical applications, making significant contributions to how privacy is implemented in real-world systems. An analysis of his recent publications reveals a strong trend toward practical privacy-preserving techniques for cloud data, social networks, and location-based services. His work consistently addresses the tension between data utility and privacy protection, developing innovative methods to maintain data value while safeguarding personal information. The publications span multiple subfields including encrypted search, graph privacy, high-dimensional data privacy, and privacy metrics. Best Paper Award at DBSec 2012 Best Paper Award at CODASPY 2012 Best Paper at BNCOD 2009 Dr. Barker has been instrumental in establishing privacy research infrastructure at the University of Calgary through his leadership of ISPIA. His research has attracted significant funding from various sources supporting privacy and security initiatives. While specific grant details aren't provided in the text, his extensive publication record indicates sustained research funding throughout his career. He has collaborated extensively with researchers both within and outside the University of Calgary, particularly with R. Alhajj and other colleagues on numerous projects. As Director of ISPIA, Dr. Barker oversees a research environment focused on advancing security and privacy technologies. The institute serves as a hub for interdisciplinary research, bringing together computer scientists, social scientists, and legal experts to address complex privacy challenges. His leadership has positioned the University of Calgary as a significant player in privacy research within Canada.

• Economic Theory
• Game Theory
• Mechanism Design
• +۴ مورد دیگر

Seungjin Han is a Professor in the Department of Economics at McMaster University, specializing in economic theory with applications in game theory, mechanism design, and public policy. His work bridges theoretical rigor with practical economic questions in taxation, matching markets, and corporate finance. His academic foundation includes a Bachelor of Economics from Korea University, Seoul; Master of Arts in Economics from McGill University, Montreal; and PhD in Economics from the University of Toronto. Research interests center on competing mechanism games, signaling theory, and market design. Key contributions address equilibrium analysis in strategic environments, tax incidence in differentiated markets, and incentive structures in matching frameworks. His theoretical work frequently appears in top journals like the Journal of Economic Theory and Journal of Mathematical Economics. Recent publications (2021-2025) reveal consistent focus on competing mechanisms and signaling dynamics, with growing emphasis on policy-relevant applications in public finance and labor markets. Over half his work involves collaborative research networks spanning international institutions. Teaching encompasses graduate-level Microeconomic Theory (ECON 721), Mathematical Methods (ECON 765), and Advanced Economic Theory (ECON 4T03) since 2017, reflecting deep engagement with core economic methodology.

Chen Xuمشاهده پروفایل

دانشیار

• Sparse Modeling
• Statistical Learning
• Feature Selection
• +۵ مورد دیگر

Chen Xu is an Associate Professor in the Department of Mathematics and Statistics at the University of Ottawa. He holds an M.A. from York University and a PhD from the University of British Columbia. His research focuses on sparse modeling, statistical learning, and big data processing, with an emphasis on both theoretical and computational advancements. Dr. Xu is affiliated with the Faculty of Science and contributes to editorial roles for journals such as the Journal of the American Statistical Association and Electronic Journal of Statistics. Education: M.A., York University PhD, University of British Columbia Research interests include feature selection, regularization methods, kernel methods, and high-dimensional regression. His work addresses computational challenges in big data, proposing efficient algorithms for tasks like singular value decomposition, clustering, and distributed feature screening. Recent publications highlight advancements in multiview PCA, low-tubal-rank tensor recovery, and model-free regression techniques. Publications span prestigious journals like the Journal of the American Statistical Association and IEEE Transactions series, focusing on statistical methodology, machine learning applications, and scalable computational solutions for complex data problems. Editorial Service: Associate Editor, Journal of American Statistical Association-T&M (2023–present) Associate Editor, Electronic Journal of Statistics (2023–present) Former Associate Editor, The Canadian Journal of Statistics (2019–2021) His research groups are Statistics and Biostatistics, and Data Science, Machine Learning, and Artificial Intelligence. He has no listed awards but maintains active editorial and academic collaborations in computational statistics and machine learning.

• Geometric Quantization
• Complex Geometry
• Mathematical Physics
• +۳ مورد دیگر

Tatyana Barron is a Professor in the Department of Mathematics at the University of Western Ontario since July 2022. She holds a Ph.D. from Pennsylvania State University (1998) and has held academic positions at institutions like the University of Michigan and the University of Arizona. Her research focuses on geometric quantization, complex geometry, and mathematical physics. She has supervised five Ph.D. students and has an extensive publication record spanning topics from Toeplitz operators to entropy analysis in quantum systems. Education: Ph.D. in Mathematics, Pennsylvania State University (1998) Bachelor's Degree, Moscow Institute of Physics and Technology (1994) Research Interests: Tatyana Barron explores geometric quantization techniques applied to complex manifolds, with particular emphasis on Kähler and multisymplectic structures. Her work bridges differential geometry, algebraic geometry, and quantum mechanics, addressing topics like automorphic forms, entropy in quantum systems, and the asymptotic properties of geometric operators. She has contributed to understanding Berezin-Toeplitz operators, entanglement in mixed states, and geometric models for therapeutic approaches involving electromagnetic fields. Her recent publications (2023-2025) highlight advancements in geometric signal theory, entanglement quantification, and semiclassical asymptotics. She has also explored mathematical models for medical applications using electromagnetic principles. Advising: Supervised five Ph.D. students focusing on topics ranging from holomorphic differentials to singular Lagrangian submanifolds. She co-supervised three of these students with colleagues in geometric analysis and differential geometry.

Tien D. Buiمشاهده پروفایل

استاد

• Digital Image Processing
• Handwritten Document Analysis
• Signal Processing
• +۴ مورد دیگر

Tien D. Bui is a Professor in the Department of Computer Science and Software Engineering at Concordia University, Montreal, Canada. He has been affiliated with Concordia for over 30 years, having joined the university in 1984 as a full professor. Previously, he held positions at McGill University and earned his education from Carleton University, the University of Ottawa, the University of Toronto, and York University. His roles include Chair of the Department of Computer Science (1985–1990) and Associate Vice-Rector Research (1992–1996). He currently serves on multiple research boards, including the Board of Governors at Concordia University and editorial roles for journals like the International Journal of Wavelets, Multiresolution and Information Processing. His research focuses on image processing, document analysis, machine learning, and pattern recognition. Notable contributions include work on wavelet-based image segmentation, handwritten document analysis, and applications of sparse representations in texture classification. He has supervised over 20 graduate students and authored/co-authored over 150 publications, including the book Computer Transformation of Digital Images and Patterns (1989). Bui has held visiting positions at the Istituto per le Applicazioni del Calcolo in Rome and the University of California, Berkeley. He has received significant research grants and served on numerous grant selection committees and federal/provincial panels. His work has practical applications in medical imaging, biometrics, and computational fluid dynamics. Current lab members include doctoral and master’s students focusing on advanced topics like control systems and algorithm design. Bui’s academic leadership extends to teaching courses such as Control Systems and Applications, Mathematics for Computer Science, and advanced design and analysis of algorithms.

Xianwen Shiمشاهده پروفایل

استاد

• Microeconomic Theory
• Industrial Organization
• Mechanism Design
• +۷ مورد دیگر

Xianwen Shi is a Professor of Economics at the University of Toronto, currently on leave. He holds positions at both the downtown St. George campus and the Mississauga campus. With a Ph.D. from Yale University (2007), his research focuses on mechanism design, information design, voting theory, and search and matching markets. His work bridges microeconomic theory and industrial organization, addressing strategic interactions in auctions, voting systems, and market design. Shi's academic journey includes degrees from Peking University (M.A., 1999) and Beijing Jiaotong University (B.S. in Civil Engineering, 1996). He has held progressive roles at the University of Toronto since 2007, advancing from Assistant to Associate Professor before becoming full Professor in 2018. His research contributions span topics like optimal voting rules, discriminatory information disclosure, and auction mechanisms with limited commitment. Notable awards include the Dean's Excellence Award (2017 and 2011). He has advised on complex economic policies and contributed to foundational theories in multidimensional voting and competitive price discrimination. Shi’s work often intersects theoretical rigor with practical applications, such as analyzing platform privacy policies and designing optimal patent systems. He maintains active collaborations with institutions like the Rotman School of Management and has taught advanced microeconomic theory, managerial economics, and undergraduate economics courses.

Panajotis Agathoklisمشاهده پروفایل

استاد

• Multidimensional Signal Processing
• Image and Video Compression
• Control Systems
• +۳ مورد دیگر

Panajotis Agathoklis is a Professor in the Department of Electrical and Computer Engineering at the University of Victoria. His research focuses on multidimensional signal processing, control systems, adaptive optics, and applications in radio astronomy. He holds a Dr.Sc.Techn. from the Swiss Federal Institute of Technology (1980) and is a Professional Engineer (PEng). Teaching: ECE460 (Control Theory II), ECE426 (Robotics), ECE360 (Control Systems I), and ECE483/583 (Digital Video Processing). Research interests include stability analysis of systems, image/video/lightfield processing, and filter design for light field and radio astronomy applications. Notable contributions include work on 3D/4D/5D signal processing architectures, FPGA implementations for real-time light field processing, and stability criteria for multidimensional systems. His recent work emphasizes advanced filtering techniques for enhancing light field videos and developing low-complexity solutions for broadband signal processing. He advises graduate students like LeHung Nguyen (TA Excellence Award recipient).

Beth MacLeodمشاهده پروفایل

دانشیار

• Phonetic Imitation
• Second Language Acquisition of Phonetics and Phonology
• Sound Change
• +۱ مورد دیگر

Beth MacLeod is an Associate Professor in the School of Linguistics and Language Studies at Carleton University. She holds degrees from the University of Waterloo (BMath) and the University of Toronto (MA & PhD in Linguistics). Her research focuses on phonetic variation, with three core areas: phonetic imitation (how speakers adapt their pronunciation), sociophonetics (social meaning in speech sounds), and second language acquisition of phonetics and phonology. She explores how these phenomena intersect with sound change, dialect acquisition, and listener perception. MacLeod has supervised research on diverse topics including Spanish stop voicing contrast, attitudes toward Toronto's pronunciation, and the Canadian Shift in Ottawa English. She currently leads a Canada Foundation for Innovation (CFI) grant ($107,188) examining language use across lifespans and collaborates on a Social Sciences and Humanities Research Council (SSHRC) grant ($65,299) analyzing phonetic imitation. Her work bridges laboratory phonetics with sociolinguistic theory, emphasizing individual variation in speech perception-production links. Recent presentations include investigations of vowel centralization in Spanish (LabPhon19, 2024) and co-articulation in Laurentian French (ICPhS, 2023). Her research highlights interdisciplinary methods, combining acoustic analysis with articulatory data to understand speech production and perception dynamics.

Shervin Erfaniمشاهده پروفایل

استاد

• Computer & Network Security
• Data Networking
• Communication Network Management
• +۳ مورد دیگر

Dr. Shervin Erfani is a Professor in the Department of Electrical and Computer Engineering at the University of Windsor, Faculty of Engineering. His research focuses on computer and network security, data networking, communication network management, and multidimensional digital filter realization. He holds a position in 3048 CEI and can be reached at erfani@uwindsor.ca. His research interests span a wide range of topics, including IoT security, signal processing in linear time-varying systems, and fractional calculus applications. Recent work emphasizes bifrequency analysis, iterated Laplace transforms, and fractional differential equations. His contributions bridge theoretical advancements with practical implementations in security frameworks and network protocols. Publications highlight trends in secure communication architectures, such as Bitcoin security models and IoT applications, alongside foundational work in signal processing and circuit theory. Collaborations address challenges in network management, spectrum sensing, and system stability.

• Image processing
• Remote sensing
• Estimation of model parameters
• +۷ مورد دیگر

Max Mignotte is a Full Professor at the Department of Computer Science and Operations Research , Faculty of Arts and Sciences, Université de Montréal. He leads research in Image Processing, Remote Sensing, and Bayesian Inference , focusing on applications in medical imaging, computer vision, and data fusion. His work includes developing advanced algorithms for saliency estimation, multimodal change detection, and 3D reconstruction. Research Interests: Image processing techniques for medical diagnostics, remote sensing analysis, and machine learning-driven solutions for visual attention and segmentation. His methodologies often integrate Bayesian models and fusion strategies to address complex problems in computer vision and biomedical applications. Key Projects: Leading the Multi-Dimensional Scaling Maps for Saliency Estimation initiative. Developing Bayesian fusion models for remote sensing applications. Advancing 3D biplanar reconstruction of human limbs using statistical models. Grants & Teams: Principal investigator on CRSNG-funded projects, including New unsupervised Bayesian and energy-based models (2022–2028) and Bayesian fusion models (2016–2023). Collaborates with the Laboratoire de traitement d’images and interdisciplinary teams in biomedical research.

Feng Wangمشاهده پروفایل

استاد مدعو

• Neuroscience
• Neurobiology
• Pain Research
• +۱۰ مورد دیگر

Feng Wang is an Adjunct Professor at the Faculty of Dentistry, Laval University, and a Scientist at the CERVO Brain Research Center. His research focuses on somatosensory perception, particularly thermal perception and chronic pain mechanisms. PhD : Institute of Neuroscience, Shanghai (under Dr. Xu Zhang) Postdoctoral Training : Mental Health Institute, Quebec City (Yves De Koninck's lab) Research interests include: Investigating sensory encoding through in vivo calcium imaging and optogenetics Studying thermal perception mechanisms in primary sensory neurons Elucidating chronic pain pathways in spinal cord circuits Developing optogenetic tools for pain modulation His recent publications highlight applications of in vivo calcium imaging , optogenetics , and genetic/pharmacological interventions to understand pain processing and develop novel therapeutic strategies. Affiliations: Laval University (Faculty of Dentistry) CERVO Brain Research Center

Anestis Dounavisمشاهده پروفایل

دانشیار

• VLSI Design Automation
• High-Speed Interconnect Modeling
• Signal Integrity Analysis
• +۷ مورد دیگر

Anestis Dounavis is an Associate Professor in the Department of Electrical and Computer Engineering at the Faculty of Engineering, University of Western Ontario. He holds a Ph.D. and is a licensed Professional Engineer (P.Eng.). Research Interests Design Automation of VLSI Circuits Modeling and Simulation of High-Speed Interconnects Signal Integrity (Board, Package, and Chip Level) Electromagnetic Interference and Immunity Analysis Mixed Signal Simulation Model-Order Reduction Techniques Simulation of Microelectromechanical (MEMS) and Optoelectronic Systems His work focuses on developing efficient algorithms for transient analysis of power distribution networks, electromagnetic compatibility, and passive macromodeling techniques. He has published extensively in top-tier IEEE journals, with recent articles spanning waveform relaxation methods, parameterized reduction, and sensitivity analysis. Notable scientific awards include: Ontario Ministry of Research and Innovation Early Research Award (2009) Carleton University Medal for Ph.D. Excellence (2004) Ottawa Centre for Research and Innovation Futures Award (2004) INTEL Best Student Paper Award (2003) University Medal at Master’s Level (2000) He has declined prestigious postdoctoral fellowships, including an NSERC Post-doctoral Fellowship (2003). Teaching recognitions include the University Student Council’s Teaching Honour Roll (2009-2010).

Ingrid Verduycktمشاهده پروفایل

دانشیار

• Speech-Language Pathology
• Voice Disorders
• Perceptual Analysis
• +۳ مورد دیگر

Ingrid Verduyckt is an Associate Professor at the School of Speech-Language Pathology and Audiology, part of the Faculty of Medicine at the Université de Montréal. She holds affiliations with the CRIR (Interdisciplinary Rehabilitation Research Center of Metropolitan Montreal), REPAR (Quebec Provincial Adaptation-Rehabilitation Research Network), and BRAMS (International Laboratory for Brain, Music, and Sound Research). Her research focuses on vocal motor control, perceptual aspects of dysphonia, and the impact of soundscapes on communication and well-being. She has led interdisciplinary projects such as the GRAPPE initiative addressing educational sound management and the MyOrtho vocal coaching application. Dr. Verduyckt earned a Master’s from Lund University (Sweden) and a PhD in Psychological Sciences from the Catholic University of Louvain (Belgium). She has supervised Master’s theses on topics like Parkinson’s therapy co-development and theater’s role in aphasia recovery. Notable awards include the 2019 Fortissimo Young Researcher Award recognizing her innovative intersectoral collaborations. She teaches courses including voice disorder assessment (ORT-6141) and professional advocacy (ORT-6602). Her work spans over 30 peer-reviewed publications and numerous grants, including CIHR-funded studies on virtual care equity and FQRSC-supported projects on voice handicap indices. She actively promotes inclusive theater environments and has developed validated assessment tools like the CAPE-Vf voice evaluation protocol.