جستجوی استاد راهنمای دانشگاهی

Dr. Carol Fung serves as Associate Professor and Gina Cody Research Chair in Cybersecurity and the Internet of Things at Concordia University's Institute for Information Systems Engineering. Education PhD in Computer Science, University of Waterloo, Canada Research Focus Her work centers on four interconnected domains: Cybersecurity : Secure architecture design, intrusion detection, and DDoS mitigation Internet of Things : Policy frameworks, user data privacy, and usable security implementations Network Management : SDN/NFV systems, cloud resource optimization, and collaborative networks Social Networks : Bot detection algorithms, data mining techniques, and behavioral profiling Honors & Recognition IEEE/IFIP IM Young Professional Award (2015) University of Waterloo Alumni Gold Medal (2013) Three Best Paper Awards at IM/NOMS conferences Google Anita Borg Scholarship NSERC Postdoc Fellowship David Cheriton Scholarship Academic Leadership Dr. Fung has organized IEEE/IFIP IM 2019 and IEEE CSNet 2022 conferences while serving as Associate Editor for IEEE TNSM and Elsevier COMNET. Her 100+ publications demonstrate sustained research impact across IoT security and network management domains, though specific grant details and student mentorship records aren't disclosed in source materials.

• Cybersecurity
• Internet of Things
• Network Management
• +۵ مورد دیگر

Dr. Vernon Hoeppner serves as Professor in the Division of Respirology, Critical Care and Sleep Medicine at the University of Saskatchewan, where he pioneered North America's first Directly Observed Therapy (DOT) program for tuberculosis treatment. His career spans clinical practice, provincial TB program leadership, and research focused on health equity among Indigenous populations in Saskatchewan and the Canadian prairies, emphasizing that "therapy is only as good as relationships and trust with patients and communities." His research interests center on Tuberculosis epidemiology , Respiratory medicine , and Health disparities , with particular focus on Indigenous health outcomes, treatment adherence, and social determinants of disease. Hoeppner's work integrates clinical practice with public health strategy, examining TB transmission dynamics, cost-effectiveness of interventions, and genomic epidemiology of Mycobacterium tuberculosis strains. Analysis of his 2014-2025 publications reveals evolving research trajectories: early work concentrated on TB transmission in Indigenous communities and treatment protocols, while recent studies expanded into genomic epidemiology (2024), health economics of latent TB treatment (2020), and climate-disease interactions in pandemic modeling (2025). His scholarship consistently addresses health inequities through both quantitative epidemiological methods and qualitative patient-centered approaches.

• Tuberculosis
• Respiratory Medicine
• Epidemiology
• +۳ مورد دیگر

Robert Bailey is an Associate Professor of Mathematics at the School of Science and the Environment, Grenfell Campus, Memorial University, with a cross-appointment to the Department of Mathematics and Statistics in St. John's. He joined Grenfell in 2013 after postdoctoral positions at Ryerson University, the University of Regina, and Carleton University. Education : M.Math. (Hons.) from the University of Leeds (2002), Ph.D. from Queen Mary, University of London (2006), with an exchange year at the University of Waterloo. Research Interests center on discrete mathematics, particularly algebraic graph theory, combinatorial design theory, and permutation groups. His work focuses on distance-regular graphs, metric dimension, error-correcting codes, and group theory, with applications in network modeling and computational combinatorics. Research Trends from his 15 most recent articles include advanced studies in metric dimension for polar and incidence graphs, classification of distance-regular structures, and innovative applications in coding theory and design theory. His interdisciplinary approach bridges pure mathematics with real-world problems in computer networks and information theory. Scientific Awards NSERC Discovery Grant (2024-29) PIMS Postdoctoral Fellow (2009-11) University start-up grants and Seed Fund support Advising and Grants involve mentoring numerous undergraduate and postdoctoral researchers. His funded projects explore symmetry breaking, distance-regular graph databases, and combinatorial coding, supported by NSERC and institutional funds. Labs and Teams include the Distance-Regular Graph Database developed with students, and collaboration with the Combinatorics Group at St. John's campus. He organized major conferences like the 16th East Coast Combinatorics Conference (2024) and Symmetry Breaking in Discrete Structures (2018).

• Discrete Mathematics
• Algebraic Graph Theory
• Combinatorial Design Theory
• +۷ مورد دیگر

Art Poon is an Associate Professor at Western University, specializing in bioinformatics and molecular epidemiology. His research focuses on reconstructing virus spread and adaptation using genomic data, with a particular emphasis on HIV and SARS-CoV-2. He holds a PhD from the University of California, San Diego, and completed a postdoc at the UCSD Center for AIDS Research. Poon leads the Poon Lab, developing computational tools for evolutionary analysis and open-source software for high-performance computing. Education: PhD in Biology (UC San Diego), MSc in Zoology (UBC), Postdoctoral training in HIV genomics. His work bridges mathematical modeling, phylogenetics, and machine learning to address public health challenges. Research Interests: Virus evolution, phylodynamics, and the application of network science to epidemiological data. His lab’s tools, like HexSE and CoVizu, enable real-time genomic epidemiology and wastewater-based surveillance. Key Contributions: Developed methods for HIV transmission cluster detection and SARS-CoV-2 variant tracking in wastewater. His work appears in journals like PLoS Computational Biology and Molecular Biology and Evolution.

• Bioinformatics
• Phylogenetics
• Molecular Epidemiology
• +۴ مورد دیگر

Sebastián Vallejo Vera is an Assistant Professor in the Department of Political Science at the University of Western Ontario. He holds a PhD from the University of Maryland, College Park. His research focuses on gendered political institutions, racial identity, and racism in Latin America, with a methodological emphasis on Natural Language Processing (NLP) applied to legislative and social media texts. He is affiliated with the interdisciplinary Laboratory of Computational Social Science (iLCSS) and the Hewlett Packard Enterprise Data Science Institute (University of Houston). Previously, he served as a Post-Doctoral Fellow at the University of Houston and as an Assistant Professor at Tecnológico de Monterrey, México. His research explores barriers faced by marginalized groups in political institutions and the strategic behavior of political actors. Methodologically, he employs advanced NLP techniques, including transformer models, to analyze legislative speeches, tweets, and other text data. His work bridges computational methods with substantive political questions, particularly in gender and race studies. Vallejo Vera’s recent articles analyze topics such as racist discourse activation on social media, legislative speech patterns, and the impact of electoral systems on representation. His work has been published in journals like The Journal of Politics , Political Research Quarterly , and PloS one . He also contributes to open-source computational tools for text analysis and regularly collaborates on interdisciplinary projects.

• Political Science
• Gender Studies
• Race and Ethnicity
• +۳ مورد دیگر

Martin Karsten is a Professor at the David R. Cheriton School of Computer Science, University of Waterloo, where he leads research in software systems and networking. His work focuses on finding simple approaches to building robust and efficient systems infrastructure. He teaches courses including Real-time Programming, Operating Systems, Distributed Systems, and Computer Networks. His research explores fundamental patterns for software infrastructure design and redesigning systems using modular building blocks. Primary interests include system-level runtime systems (OS kernels, hypervisors), performance optimization through simplicity, and structural commonalities across software layers. Key research areas encompass system software, network architecture, network services, and network software. Karsten holds a Diplom-Wirtschaftsinformatiker from Universität Mannheim and Dr.-Ing. from TU Darmstadt. His career includes positions as Assistant Professor (2002-2007), Associate Professor (2007-2020), and Professor (2021-present) at Waterloo, with administrative roles including Associate Director of the School since 2020. He maintains active collaborations through sabbaticals at SAP and visiting positions at TU Kaiserslautern. He currently advises multiple graduate students in the MMath program and has contributed to open-source projects like libfibre (user-level threading) and KOS (experimental OS kernel). His professional service includes roles in academic integrity initiatives and conference organization.

• Software Systems
• Networking
• Operating Systems
• +۴ مورد دیگر

Maria Teresa Chiri is an Assistant Professor in the Department of Mathematics and Statistics at Queen's University. She holds a Ph.D. from the University of Padova (2019), an M.Sc. from the University of Pisa (2016), and a B.Sc. from the University of Salento (2013). Her research focuses on optimal control, hyperbolic conservation laws, and calculus of variations, applied to traffic flow modeling, biological systems, and bioinspired robotics. She has collaborated on projects such as the CIRCLES initiative, addressing congestion reduction through connected autonomous vehicles. Key research areas include traffic dynamics with autonomous vehicles, control of invasive species, fire confinement strategies, and numerical methods for hyperbolic systems. She has held postdoctoral positions at Penn State University and contributed to interdisciplinary collaborations with institutions like UC Berkeley and Vanderbilt University. Maria is actively recruiting M.Sc. and Ph.D. students interested in pure and applied mathematics. Her work bridges theoretical analysis and real-world applications, emphasizing numerical simulations and control theory. She has published extensively on topics ranging from traffic control algorithms to bioinspired PDE models.

• Optimal Control
• Hyperbolic Conservation Laws
• Calculus of Variations
• +۴ مورد دیگر

Dr. Dhirendra Shukla is the Dr. J. Herbert Smith ACOA Chair at the University of New Brunswick's J Herbert Smith Centre for TME. He holds a PhD in Entrepreneurial Finance from King's College London, an MBA from the Telfer School of Management (University of Ottawa), and advanced engineering degrees from the University of Bradford. His research focuses on venture capital, corporate governance, entrepreneurial finance, and sustainability in renewable energy and technology-driven industries. Education: BEng/MSc in Chemical Engineering & Computing (University of Bradford) MBA (University of Ottawa/Telfer School) PhD in Entrepreneurial Finance (King's College London) His teaching portfolio includes courses on entrepreneurial finance, global engineering, and leadership in technology management. Research interests span venture capital dynamics, IPO governance, blockchain applications, and smart energy systems. He has presented at conferences like the Strategic Management Society and Academy of International Business, contributing to cross-national studies on corporate governance and IPO performance. Shukla's work bridges academia and industry, with projects addressing renewable energy partnerships in Atlantic Canada and federated learning systems for privacy-preserving data analytics. His recent studies explore AI-driven digital twins, cyber-physical systems in smart cities, and blockchain adoption in higher education.

• Entrepreneurial Finance
• Corporate Governance
• Venture Capital
• +۷ مورد دیگر

Eldad Tsabary is an Associate Dean of Research and Graduate Studies at the Faculty of Fine Arts, Concordia University. He leads the SSHRC-funded Reflective Iterative Scenario Enactments (RISE) project and founded the Concordia Laptop Orchestra (CLOrk), which has performed internationally. His work spans electroacoustic music, live coding, and interdisciplinary collaboration, particularly with AI and global artistic networks. Doctorate in Music Education from Boston University Research interests include improvisation , neural synthesis , and browser-based collaborative platforms . His recent publications explore GAN-based transformation matrices , multilingual live coding environments , and evolutionary dynamics in laptop orchestras , reflecting his focus on technology-driven musical innovation. Notable scientific contributions include the SSHRC-funded RISE project and leadership in the Canadian Electroacoustic Community (CEC) and the International Conference on Arts and Humanities. He actively collaborates with the Milieux Institute and Gina Cody School of Engineering, emphasizing AI integration in the arts.

• Electroacoustic Music
• Improvisation
• Live Coding
• +۴ مورد دیگر

Magdalena Olszanowski is a Polish-born writer, artist, and educator based in Montreal. She holds a PhD in Communication Studies from Concordia University, where she currently serves as faculty, and also teaches at Dawson College. Her academic career bridges creative practice and scholarly inquiry, focusing on the intersections of feminist theory, digital culture, and embodied experience. Her research interests center on feminist art practices, digital self-representation, and the early web. She investigates how women and marginalized communities use digital platforms for self-expression and community building, with particular attention to Instagram's role in feminist exchange. Her work also explores the connections between motherhood, embodiment, and creative practice, examining how caregiving shapes artistic production and theoretical frameworks. Additional areas of interest include censorship in digital spaces, women in electronic dance music culture, and the politics of self-imaging online. Through her publications spanning from 2013-2024, Olszanowski has established herself as a significant voice in feminist digital studies. Her research reveals consistent themes of resistance, community building, and the reclamation of digital spaces for marginalized voices. She examines how platforms that appear neutral often reinforce existing power structures, while simultaneously documenting how users develop creative tactics to circumvent these limitations. Her more recent work increasingly engages with ecological concerns and the relationship between land, embodiment, and digital practice. Magdalena maintains an active creative practice alongside her academic work through her Substack publication "Near to The Wild Heart," where she writes at the intersection of philosophy, motherhood, art, and desire. This platform allows her to explore personal experiences of embodiment and care while connecting them to broader theoretical frameworks.

• Feminist Art
• Digital Media Studies
• Censorship Studies
• +۵ مورد دیگر

Larry Yueli Zhang is an Assistant Professor, Teaching Stream in the Department of Electrical Engineering & Computer Science at York University's Lassonde School of Engineering. He holds a PhD from the University of Toronto's Department of Computer Science and previously served as teaching faculty at the University of Toronto Mississauga's Department of Mathematical and Computational Sciences. His research focuses on social network analysis, information networks, and computing education. He is actively involved in curriculum development for York University's Markham Campus, including the Computer Science for Software Development (CSSD) and Digital Technologies (DT) programs. His teaching spans undergraduate courses in data structures, algorithms, computer organization, and distributed systems. Notable projects include SlideChat (an interactive slide-based discussion platform), Velocity (a course management tool), and OkShell (a human-friendly command-line interface). He has received awards such as the Alexander Graham Bell Canada Graduate Scholarship (2013) and Outstanding Master's Thesis from Tsinghua University. Larry's research emphasizes improving computing education through innovative pedagogical tools and analyzing student learning behaviors. His work includes studies on gamified quizzes, online exam strategies, and breakout room utilization in large courses.

• Social Network Analysis
• Computing Education
• Data Structures
• +۵ مورد دیگر

Peter Taylor is a Professor of Atmospheric Science at York University's Lassonde School of Engineering (Department of Earth and Space Science & Engineering). He has held this position since 1988 and concurrently works with Zephyr North, a wind energy consultancy. Previously, he was a senior research scientist at Environment Canada and taught at the University of Toronto and University of Southampton. His research focuses on boundary-layer meteorology, climate, and weather, with specialties in renewable energy (wind farms, marine fog dynamics), sub-seasonal forecasting, and atmospheric modeling. Notable contributions include the Askervein Hill study (1982/83) and leadership in Lake Erie wind farm impact studies. He is a Fellow of the Canadian Meteorological and Oceanographic Society and recipient of the 1998 Patterson Distinguished Service Medal. He serves on the Boundary-Layer Meteorology editorial board since 1971, including co-chief editorship (1995–2010). His work integrates numerical models with field data, emphasizing applications like radar-based snowfall estimation and highway turbulence analysis. Collaborative projects include the CANISTEO and ALLE-CATT wind farm icing risk analyses. Education: University of Toronto (Mathematics) University of Southampton (Physical Oceanography) Awards: Fellow, Canadian Meteorological and Oceanographic Society Patterson Distinguished Service Medal (1998) Key Contributions: Developed educational video Wind Energy in Canada Co-led Askervein Hill wind flow study Advanced boundary-layer modeling techniques His publications span atmospheric dynamics, renewable energy impacts, and radar meteorology with a focus on practical applications in climate science and environmental engineering.

• Boundary-Layer Meteorology
• Climate
• Weather
• +۵ مورد دیگر

Nanwei Wang is an Assistant Professor in the Department of Mathematics and Statistics at the University of New Brunswick. He obtained his Ph.D. in Statistics from York University in 2017 following a Bachelor's degree in Mathematics from Xi'an Jiaotong University. His research develops statistical learning methods for high-dimensional data in genetics and machine learning. His core research interests include: Graphical models for dependency modeling Composite likelihood estimation methods Bayesian model selection techniques Linear mixed models in genetic association studies Wang's publication record demonstrates consistent focus on computational statistics, with recent emphasis on scalable algorithms for genomic data integration and Bayesian methods for high-dimensional inference. Methodological innovations in MCMC and penalized estimation feature prominently. Awards: OICR-CANSSI Biostatistics Postdoctoral Fellowship Award He leads research projects in statistical methodology development and welcomes graduate students interested in mathematical statistics, Bayesian analysis, and machine learning applications.

• Statistical Learning
• Graphical Models
• Bayesian Inference
• +۱ مورد دیگر

Dr. Lihong Zhang is a Full Professor in the Department of Electrical and Computer Engineering at Memorial University of Newfoundland. He holds a PhD in Electrical Engineering from Otto-von-Guericke University (Germany) and has held post-doctoral positions at Concordia University, Dalhousie University, and the University of Washington. His research focuses on VLSI design automation, analog/mixed-signal circuits, MEMS, energy harvesting, and biomedical instrumentation. Dr. Zhang leads the CADLAMS lab, supported by NSERC, CFI, and industry partners. Education: B.E. (H.U.S.T. Wuhan), M.Sc. (Eng.) (H.U.S.T. Wuhan), Ph.D. (Otto-von-Guericke University, Germany). Research Interests: VLSI design automation, MEMS design, renewable energy harvesting, microfluidics, wireless sensor networks, and EDA tools. His work addresses challenges in nanometer-scale technologies, including layout-dependent effects and manufacturability. Awards: 2008 CFI Leaders Opportunity Fund, 2016 Memorial University Research Excellence Award. Grants include funding from NSERC, CFI, and industry collaborations. Students and Collaborations: Supervises over 50 graduate students and collaborates with industry partners like Cadence, Synopsys, and IBM. Active in editorial roles for IEEE journals and conference organization. Lab Infrastructure: CADLAMS lab includes advanced computing resources, EDA software, and lab equipment for circuit prototyping and testing.

• VLSI Design Automation
• MEMS Design and Optimization
• Analog and Mixed-Signal Circuit Design
• +۷ مورد دیگر

Steve Ulrich is an Associate Professor in the Department of Mechanical and Aerospace Engineering at Carleton University and Director of the Spacecraft Robotics and Control Laboratory. He holds a B.Eng. and M.A.Sc. in Electrical Engineering from Université de Sherbrooke and a Ph.D. in Aerospace Engineering from Carleton University. His research focuses on spacecraft guidance, navigation, and control (GN&C), computer vision-based navigation systems, and space robotics. He has contributed to ESA’s PROBA-2 spacecraft systems and MIT’s space systems laboratory experiments. Education: B.Eng, Electrical Engineering, Université de Sherbrooke (2004) M.A.Sc, Electrical Engineering, Université de Sherbrooke (2006) Ph.D, Aerospace Engineering, Carleton University (2012) Research Interests: Spacecraft GN&C algorithms/software Proximity operations and formation flying Attitude dynamics and control Robotics and computer vision Solar drag and perturbation management His recent work emphasizes deep learning for autonomous capture systems, real-time vision-based navigation, and adaptive control strategies for space robotics. Articles highlight advancements in obstacle avoidance, optimal guidance, and experimental validation of control algorithms. The Spacecraft Robotics and Control Laboratory develops technologies for on-orbit servicing and debris removal. Advising focuses on graduate students in aerospace robotics and control systems. His lab collaborates with industry on projects like tether-based debris capture and CubeSat navigation systems.

• Spacecraft Guidance, Navigation and Control (GN&C)
• Spacecraft Proximity Operations
• Attitude Dynamics and Control
• +۳ مورد دیگر