جست‌وجوی استاد و پژوهشگر

Andrew Jirasekمشاهده پروفایل

استاد

• Medical Physics
• Radiation Oncology Physics
• Raman Spectroscopy
• +۳ مورد دیگر

Andrew Jirasek is a Professor at the Irving K. Barber Faculty of Science , University of British Columbia Okanagan , and serves as the Associate Dean for Graduate and Postdoctoral Training . He leads the Analytics in Medical Sciences (AiMS) Institute with a focus on Medical Physics and Radiation Oncology Physics , particularly utilizing Raman spectroscopy and 3D radiation dosimetry for cancer treatment verification. PhD from University of British Columbia His research involves developing polymer gel dosimeters for 3D radiation dose verification in complex therapies like volumetric modulated arc therapy (VMAT) , collaborating across physics, oncology, and engineering . He also investigates optical technologies to monitor biological responses during radiotherapy using Raman spectroscopy with machine learning for data analysis. Recent publications highlight advancements in 3D gel dosimetry , Raman spectroscopy for metabolic profiling , and iterative image reconstruction algorithms . His work spans dosimeter technology development , radiation therapy quality assurance , and clinical applicability studies for novel treatment verification methods.

Christopher Collinsمشاهده پروفایل

استاد

• Information Visualization
• Human-Computer Interaction
• Pen+Touch Interface Design
• +۷ مورد دیگر

Dr. Christopher Collins is a Professor of Computer Science at Ontario Tech University, leading the Visualization for Information Analysis Lab (vialab). He holds a PhD from the University of Toronto (2010) and focuses on interdisciplinary research in information visualization, human-computer interaction, and natural language processing. His work addresses challenges in information overload, text analytics, and novel interfaces such as touch, pen, VR/AR. Collins' research has been featured in top-tier venues like ACM CHI and IEEE Transactions on Visualization and Computer Graphics, earning honorable mentions and over $3M in funding as sole PI. He serves on the IEEE VIS Executive Committee and Board of Governors at Ontario Tech University. Education: PhD in Computer Science, University of Toronto (2010) MSc in Computer Science, University of Toronto (2004) BSc (Hons) in Computer Science, Memorial University (2001) Research Interests: Collins' work spans information visualization , pen+touch interfaces , visual analytics , and text-driven systems . He explores how interactive technologies can democratize complex data analysis, particularly in education, healthcare, and creative domains. Recent projects include gaze-driven learning tools, context-aware camera interfaces, and bias-mitigating product review analysis. Awards: ACM CHI Honorable Mention Award IEEE VIS Honorable Mention Award Grants & Impact: Secured $3M+ in research funding. Media coverage includes New York Times and CBS Sunday Morning for innovations in visualization and text analytics. Teaches courses in human-computer interaction, computer graphics, and information visualization. Labs & Collaborations: vialab develops tools like Lexichrome , ConToVi , and NeuroSight . Active in IEEE Visualization and ACM Interactive Media communities. Collaborates with academia and industry globally.

Avery Bermanمشاهده پروفایل

استادیار

• Medical Physics
• Functional Neuroimaging
• Biomedical Engineering
• +۵ مورد دیگر

Avery Berman is an Assistant Professor in the Department of Physics at Carleton University and a Scientist at the University of Ottawa Institute of Mental Health Research (IMHR) at The Royal. His work focuses on advancing functional MRI (fMRI) techniques for high-resolution imaging of brain activity and physiology, with applications in neuroscience and mental health disorders. PhD in Biomedical Engineering and MSc in Medical Radiation Physics from McGill University Postdoctoral research at Harvard Medical School and the Martinos Center for Biomedical Imaging Research Interests include: High-resolution fMRI at 7 Tesla Biophysical modeling of vascular networks Quantitative biomarkers for oxygen metabolism PET-MRI hybrid imaging systems Neurovascular coupling in mental illness Scientific Awards include: NSERC Canada Graduate Scholarship (Master's) CIHR Canada Graduate Scholarship (Doctoral) CIHR Postdoctoral Fellowship (top 10/600 applicants) NSERC Postdoctoral Fellowship (top Physics section recipient) Research Funding from NSERC, CFI, and institutional support from Carleton University and IMHR. His lab develops the open-source BOLDsωimsuite software for fMRI signal modeling and collaborates with Canada-wide vascular training programs.

• Human-Computer Interaction
• Cybersecurity
• Privacy and Ethics in Technology
• +۵ مورد دیگر

Leah Zhang-Kennedy is an Assistant Professor at the Stratford School of Interaction Design and Business, University of Waterloo. She holds a cross-appointment in Faculty roles, focusing on interdisciplinary research at the intersection of technology, ethics, and human behavior. Her research explores privacy implications in emerging technologies like AI, IoT, and extended reality (XR), with a focus on deceptive design patterns, cybersecurity education, and cryptocurrency user behavior. Key themes include ethical responsibility in AI failures, user perceptions of smart home devices, and mitigating privacy harms through storytelling and design interventions. Zhang-Kennedy’s work spans over a decade, with publications analyzing deceptive game mechanics, VR privacy risks, and children’s online privacy education. Her projects often involve collaborative development of educational tools such as interactive comics and visualizations to enhance public understanding of security and privacy concepts. While no specific grants or awards are listed, her contributions highlight innovative approaches to addressing technology’s societal impacts through both critical analysis and practical design solutions.

Virendra Bhavsarمشاهده پروفایل

استاد پژوهشی

• Natural Language Processing
• Cognitive Informatics
• Distributed Systems
• +۳ مورد دیگر

Virendra Bhavsar is an Honorary Research Professor and Professor Emeritus in the Department of Computer Science at the University of New Brunswick (UNB). He holds a PhD in Computer Science and is affiliated with UNB's Fredericton campus, located in Gillin Hall GE109A. His research focuses on natural language processing (especially for Hindi and other Indian languages), cognitive informatics, distributed systems, and bioinformatics. Bhavsar has also contributed to projects involving virtual reality in education, parallel computing, and machine translation systems. Education: PhD in Computer Science Research Interests: Development of NLP tools for free-word-order languages Optimization of in-memory data processing systems on NUMA architectures Cognitive learning environments using virtual reality Tree-based parsing algorithms for linguistic analysis High-performance spatial and spatio-temporal data systems Recent Work Trends: His articles from 2017–2022 highlight advancements in Hindi language processing, distributed computing optimizations, and cognitive informatics applications. Notable areas include improving data skew resilience in hash joins and developing visualization systems for language learning. Awards: No specific scientific awards listed in available materials. Advising & Grants: No formal advisee list or grant details provided in current data. His collaborations include work on grid computing frameworks like GARUDA and HPGC initiatives. Labs/Teams: Involved in projects related to distributed in-memory systems (e.g., DISTIL) and cognitive informatics research groups.

Yildiz Yilmazمشاهده پروفایل

دانشیار

• Survival Analysis
• Statistical Genetics
• Genetic Epidemiology
• +۴ مورد دیگر

Yildiz Yilmaz serves as Associate Professor of Statistics and Deputy Head of Statistics at Memorial University of Newfoundland's Department of Mathematics and Statistics within the Faculty of Science. Holding a PhD from the University of Waterloo, she maintains an active research program at the intersection of statistical methodology and biomedical applications. Education PhD in Statistics, University of Waterloo (2009) MSc in Statistics, Middle East Technical University (2004) MSc in Computer Engineering, Middle East Technical University (2004) BSc in Statistics with minor in Computer Engineering, Middle East Technical University (2002) Her research focuses on developing advanced statistical methods for survival analysis, genetic epidemiology, and causal inference. Key programs include: (1) novel methods for genome-wide prognosis studies of time-to-event phenotypes, (2) genetic association methods using joint/directional models of multiple phenotypes, (3) evaluation of response-dependent sampling designs, and (4) models for multivariate survival times. Her work addresses critical challenges in biomedical research through innovative statistical theory. Recent publications demonstrate consistent focus on colorectal cancer genomics, statistical genetics methodology, and survival analysis applications. Trends show increasing emphasis on multi-phenotype analysis, SNP interaction networks, and time-varying effects in genetic association studies, with significant contributions to copula-based joint modeling approaches. Research Support Natural Sciences and Engineering Research Council (NSERC) Canadian Statistical Sciences Institute (CANSSI) Faculty of Medicine, Memorial University Research and Development Corporation (RDC) of Newfoundland and Labrador Dr. Yilmaz actively mentors students across multiple programs including PhD, MSc, MAS, and undergraduate levels. Her current research group comprises seven students working on statistical genetics and survival analysis projects, building on a track record of successfully supervising numerous graduate students and post-doctoral fellows since 2013.

Joshua Speagleمشاهده پروفایل

استادیار

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

Joshua Speagle is an Assistant Professor jointly appointed in the Department of Statistical Sciences and the David A. Dunlap Department of Astronomy & Astrophysics at the University of Toronto. He is also an Associate Member of the Dunlap Institute for Astronomy & Astrophysics and a Member of the Data Sciences Institute. His research lies at the intersection of statistics, astronomy, and computer science, focusing on astrostatistics and data-intensive astrophysics. His research interests include astrostatistics, data science, machine learning, statistical inference, and Bayesian methods. He develops novel statistical learning techniques to extract insights from large, complex datasets, particularly from astronomical surveys. His work emphasizes interpretability, robust inference, and computational efficiency, with applications to galaxy formation, stellar photometry, and 3D dust mapping. The trends in his recent publications reflect a strong focus on interdisciplinary methodologies, particularly in Bayesian inference, nested sampling, and machine learning applied to astrophysical problems. His work consistently bridges theoretical statistics with practical applications in astronomy, emphasizing open-source software and reproducible research. Banting Postdoctoral Fellowship Dunlap Fellowship Joshua Speagle is deeply committed to mentorship and collaboration. He co-leads the Astrostatistics Research Team (ART) with Gwen Eadie, mentoring students and postdocs across disciplines. He is involved in graduate and undergraduate research programs, including the Astronomy & Astrophysics Summer Undergraduate Research Program (SURP). He teaches courses in statistics and astronomy and serves on committees within the University of Toronto and professional societies such as the AAS, ASA-AIG, and SSC-DSA. He co-leads the interdisciplinary Astrostatistics Research Team (ART), which fosters a collaborative, inclusive environment focused on cutting-edge research at the intersection of statistics and AI. The team emphasizes open and accessible science, releasing open-source tools like dynesty and brutus , and mentoring the next generation of data scientists.

Boris Vukovicمشاهده پروفایل

عضو هیئت علمی

• Accessibility
• Universal Design
• Inclusive Education
• +۱۲ مورد دیگر

Boris Vukovic is the Director of the Accessibility Institute and the Canadian Accessibility Network (CAN) at Carleton University, where he also holds the position of Adjunct Research Professor in the School of Industrial Design. He additionally serves as an Adjunct Professor in Educational and Counselling Psychology at McGill University. With over 20 years of experience, he has led initiatives in accessibility, inclusive education, and faculty development, positioning Carleton as a national leader in accessibility. His research focuses on accessibility, particularly nonvisible disabilities such as mental health conditions, learning disabilities, and executive functioning disorders. He advocates for participatory, transformative, and solution-focused research. His work includes integrating AI into accessibility assessments to create ethical, scalable tools. He has contributed significantly to the discourse on universal design in higher education and inclusive teaching practices. His recent publications, spanning from 2009 to 2023, reflect a strong emphasis on interdisciplinary accessibility education, faculty development, and inclusive policies. Themes across these works include universal design, accessibility training, international comparisons in inclusive instruction, and the evolving role of disability service professionals. He is a member of the American Educational Research Association and the Canadian Counselling and Psychotherapy Association. While no formal awards are listed, his leadership in national initiatives like CAN and the Rick Hansen Foundation Accessibility Certification™ underscores his impact. Boris Vukovic advises students through research collaborations and teaching in both undergraduate and graduate programs. He has been involved in grant-funded projects related to accessibility training and inclusive education, though specific grants are not detailed. His work includes leading the Student AccessAbility Training Program and coordinating national outreach and consultation efforts. He leads the Accessibility Institute and the Canadian Accessibility Network, which serve as hubs for research, policy development, and community engagement in accessibility. These initiatives promote a transdisciplinary approach to removing barriers and fostering social innovation across sectors.

Bin Guoمشاهده پروفایل

استادیار

• Parallel and Distributed Computing
• Graph Algorithms
• Graph Mining
• +۵ مورد دیگر

Bin Guo is an Assistant Professor at the Computer Science Department of Trent University (since Jan. 2024) and an Adjunct Assistant Professor at the Computing & Software Department of McMaster University. He holds a PhD in Computer Science from McMaster University (2023) and an MSc in Applied Computer Science from Winnipeg University (2018). His research focuses on parallel/distributed computing, graph algorithms, and computer security for data analytics, with notable contributions to federated k-core decomposition and secure distributed algorithms. He teaches courses in database systems, operating systems, and computer security at Trent University and has taught at McMaster University. Education: PhD in Computer Science, McMaster University (2023) MSc in Applied Computer Science, Winnipeg University (2018) Research Interests: Parallel and Distributed Computing Graph Algorithms and Mining Computer Security & Privacy Federated Learning Concurrent Data Structures Advising & Grants: Current advisees: Gregory Prouty, Michael Abiona, Syed Zarif Past advisees: Igor Jardim-Martins, Issec Lee Funding sources: Graduate Teaching Assistantships, Research Fellowships, Trent University Research Development Grants Labs & Teams: Leading research projects in parallel graph algorithms and federated security algorithms Collaborating with McMaster University on PhD/Master's co-supervision

Sherif Elbarradمشاهده پروفایل

استاد

• Management Accounting
• Accounting Education
• Islamic Finance
• +۵ مورد دیگر

Dr. Sherif Elbarrad serves as Interim Dean of Management and Professor at the Mihalcheon School of Management, Concordia University of Edmonton. Previously, he held leadership positions including Interim Associate Dean for Student Engagement & Success and Associate Dean at MacEwan University's School of Business. With an extensive international academic career spanning Egypt, Germany, Saudi Arabia, and Canada, Dr. Elbarrad has taught at eight universities and served as Chair of Accounting at three institutions. His educational background includes: Stanford LEAD Program, Graduate School of Business (2022) Ph.D. in Accounting, Joint Program between Ain-Shams University and University of Cologne (1997) Master of Science in Accounting, Ain-Shams University (1993) Bachelor of Commerce in Accounting, Ain-Shams University (1985) Dr. Elbarrad's research focuses on practical applications that create impact in the business community, with primary interests in Management Accounting, Accounting Education, Islamic Finance, and Emerging Markets. His work consistently bridges academic theory with professional practice, particularly examining accounting systems and education in Egyptian and Saudi Arabian contexts. He approaches research with a strong emphasis on real-world applicability, as evidenced by his recent study on CPA competencies and employer needs in Alberta. His scholarly output demonstrates a clear trajectory from foundational accounting research toward educational innovation and practical business applications. Recent publications increasingly focus on accounting education effectiveness and the alignment between academic preparation and professional requirements. Dr. Elbarrad has received numerous prestigious recognitions: L.S. Rosen Outstanding Educator Award (2021) for contributions to Canadian accounting education Multiple Howard Teall Awards for Innovation in Accounting Education (2022, 2020, 2019) CPA Alberta Fellow designation (2022) for exceptional service to the profession Stanford LEAD Program completion (2022) for leadership development CPA Alberta Distinguished Service Award (2019) As an educator, Dr. Elbarrad employs a student-centered philosophy emphasizing safe learning environments, motivation, and critical thinking development. His teaching approach focuses on simplifying complex accounting concepts through diverse real-world examples while accommodating individual learning needs. He has developed numerous accounting courses across undergraduate and graduate levels and received multiple teaching excellence awards. His educational innovations include the Principles of Management Accounting textbook applying Universal Design for Learning principles. Dr. Elbarrad has established Dominarlo, an educational technology initiative providing affordable, interactive learning tools designed to enhance student engagement. Through this venture, he develops textbook-independent resources that help faculty save time while developing job-market-ready skills in students. He also maintains an educational YouTube channel featuring animated explanations of management accounting concepts.

Hausi Müllerمشاهده پروفایل

استاد

• Software Engineering
• Quantum Computing
• Self-Adaptive Systems
• +۱۱ مورد دیگر

Hausi Müller is a Professor in the University of Victoria 's Department of Computer Science under the Faculty of Engineering & Computer Science . He serves as Chair of the IEEE Quantum Technical Community and co-founded the IEEE International Conference on Quantum Computing & Engineering . His academic journey began with a Ph.D. in Computer Science from Rice University (1986), followed by a Master's degree (1984) and a Dip.-Ing. from Swiss Federal Institute of Technology (1979). Research Interests: Dr. Müller's work spans quantum software engineering , self-adaptive systems , cyber-physical systems , and program understanding . He pioneered the Rigi reverse engineering tool and developed frameworks like SAVI for adaptive video analytics. Recent Publications: His 2025 articles focus on penalty-free quantum optimization and hybrid quantum software engineering , while 2024 contributions explore quantum cryptography education and notation translation tools . Earlier works address energy consumption modeling and cyber-physical system design . Awards: 2024 IEEE Computer Society Distinguished Leadership Award 2023 IEEE iCON Award for Quantum Week 2011 IBM Canada CAS Research Project of the Year for Personal Context Sphere 2012 CASCON Best Paper Award for SmarterDeals Fellow of the Canadian Academy of Engineering (FCAE) and Canadian Software Engineering Association (FCSSE) Grants & Projects: 2024-29 NSERC Quantum Software Consortium 2023-28 NSERC Discovery Grant for Hybrid Quantum Systems 2021-25 IBM CAS Cognitive Digital Twin Framework 2018-25 NSERC CREATE for Dependable IoT Applications Leadership: Dr. Müller has held multiple IEEE leadership roles since 2015, including Vice President of IEEE CS Technical & Conferences Board (2016-18), and active involvement in organizing international workshops in Shonan (Japan) and Dagstuhl (Germany).

Mohammad Rafieeمشاهده پروفایل

استاد مدعو

• Advanced materials
• Sustainable materials
• Electronic materials
• +۱۲ مورد دیگر

Mohammad Rafiee is an Adjunct Professor in the Department of Mechanical Engineering at the Faculty of Engineering, University of Ottawa. He holds affiliations with City University of Hong Kong, École Polytechnique de Montréal, National Research Council Canada, and Advanced Microelectronic Technologies, Sanmina. His research focuses on Advanced materials (graphene, carbon nanotubes, piezoelectric composites) Additive manufacturing (multi-material 3D/4D printing, coaxial deposition) Mechanical/thermal analysis of composite structures Smart devices (sensors, actuators, energy harvesters) Numerical modeling (finite element analysis, nonlinear dynamics) Recent publications highlight trends in Nonplanar additive manufacturing of piezoelectric devices Multiscale graphene/epoxy composites for vibration damping Thermal stability of nanomaterial-reinforced laminates 4D printing applications Structural health monitoring via machine learning Development of polymer-derived ceramics Scientific awards include Ontario Trillium Scholarship Fonds de Recherche du Québec – Nature et technologies (FRQNT) World’s Top 2% Scientists (Stanford, since 2020) Top 1% most cited authors in materials science

Wayne Enrightمشاهده پروفایل

استاد

• Numerical Analysis
• Scientific Computing
• Ordinary Differential Equations (ODEs)
• +۴ مورد دیگر

Wayne Enright is a Professor of Computer Science at the University of Toronto, specializing in numerical analysis and scientific computing. His research focuses on numerical methods for ordinary differential equations (ODEs), integro-differential equations (IDEs), and delay differential equations (DDEs), with an emphasis on reliability, error analysis, and software development. He has held leadership roles, including Chair of the Department of Computer Science (1993–1998) and President of the Canadian Applied and Industrial Mathematics Society (CAIMS). Enright’s contributions include advancements in numerical software like MUSN and pioneering work on defect control and sensitivity analysis. He has received the IFIP Silver Core Award and contributed to international conferences and editorial boards. His work bridges theoretical foundations with practical applications in computational biology, engineering, and stochastic modeling. Education: BSc in Mathematics (1968, University of British Columbia) MSc in Mathematics (1969, University of Toronto) PhD in Computer Science (1972, University of Toronto) Research Interests: Enright’s work centers on developing robust numerical methods for solving ODEs, IDEs, and DDEs. He emphasizes reliable error estimation, algorithm efficiency, and software implementation. Key areas include: - Superconvergent interpolants for collocation methods - Sensitivity analysis for delay differential equations - Contouring of PDE solutions on unstructured meshes - Stochastic models in biochemical kinetics Publications: Over 150 peer-reviewed articles, including seminal works on numerical methods for differential equations and computational tools. Recent trends focus on enhancing algorithm reliability, adaptive time-stepping, and exploiting problem structure for efficiency. Awards & Recognition: IFIP Silver Core Award Past President, CAIMS Executive Member, IFIP WG2.5 on Numerical Software Editorial Board Member, ACM Transactions on Mathematical Software Grants & Collaborations: Extensive funding from NSERC and international collaborations. Leads projects integrating numerical methods with real-world applications in computational science and engineering. Labs & Teams: Head of the Numerical Analysis and Scientific Computing Group at the University of Toronto, fostering interdisciplinary research in computational mathematics and software development.

Seshasai Srinivasanمشاهده پروفایل

دانشیار

• Nanotechnology
• Electrochemical Sensors
• Health Technology
• +۴ مورد دیگر

Dr. Seshasai Srinivasan is an Associate Professor and holder of the W Booth Chair in Engineering Entrepreneurship and Innovation at the W Booth School of Engineering Practice and Technology, McMaster University. He also serves as Program Chair for the BTech Software Engineering Technology program. His academic affiliations include associate memberships in the Mechanical Engineering Department, McMaster School of Biomedical Engineering, and School of Computational Science and Engineering. His research focuses on nanotechnology-based sensors, electrochemical detection systems, and AI-driven material science. Notable projects include developing MXene-based stretchable sensors, carbon dot-infused hydrogels for biomedical applications, and AI frameworks for predicting battery performance. He has pioneered gradeless residency models in software engineering education and collaborated with industry on projects like roadside drug detection systems with Eye3 Concepts Inc. Dr. Srinivasan teaches courses such as Finite Element Analysis (ENGTECH 3FE3), Senior Engineering Project (ENGTECH 4FD3), and Numerical Linear Algebra (SFWRTECH 4MA3). His work bridges cutting-edge nanomaterials research with practical engineering education innovation.

Gil Bubمشاهده پروفایل

دانشیار

• Cardiovascular Research
• Cardiac Dynamics
• Imaging Techniques
• +۳ مورد دیگر

Gil Bub is an Associate Professor in the Department of Physiology at McGill University, focusing on cardiovascular research and cardiac dynamics. His lab develops advanced imaging and computational methods for studying excitable cell networks in heart and brain tissues. Current research involves high-speed microscopy technologies (Temporal Pixel Multiplexing, RAP imaging, remote focusing) and optogenetic techniques to control and image cardiac excitation patterns. Teaching includes the course Mathematical Models in Biology (BIOL 309) , with supplementary tools like cellular automata and logistic map iterators. Research themes explore excitable media, spiral wave dynamics, and real-time optical control of cardiac tissue. The lab combines bioengineered myocyte sheets, co-cultures, and whole-heart models with novel microscopy and simulation programs. Instrumentation projects include ultra-fast sensors, three-photon microscope prototypes, and parallel imaging systems for high-throughput screening. Optogenetics work collaborates with Emilia Entcheva's COOL lab to sensitize tissues to light control, enabling precise manipulation of wave patterns and rhythms. Lab members include postdocs, PhD/MSc students, and undergraduate trainees. Prior students have pursued careers in academia, medicine, and industry. Collaborators span institutions including Oxford, UBC, and industry partners like Cordin Scientific Imaging.