جست‌وجوی استاد و پژوهشگر

Joana Rochaمشاهده پروفایل

استاد

• Aeroacoustics
• Aircraft Noise Prediction
• Noise Reduction in Aerospace Systems
• +۴ مورد دیگر

Dr. Joana Rocha is a Full Professor in the Department of Mechanical and Aerospace Engineering at Carleton University, Ottawa. She leads the Aeroacoustics Research Laboratory, specializing in aircraft noise prediction, noise reduction, and aeroacoustic testing. Her work focuses on turbulent-flow induced noise, structural-acoustic interactions, and wind tunnel experimentation. Education: Ph.D. and M.A.Sc. in Mechanical Engineering from the University of Victoria. Research Interests: Aircraft noise mitigation strategies Optimization of trailing-edge geometries for noise reduction High-speed wind tunnel testing methodologies Development of predictive models for flow-induced noise Publications: Over 40 peer-reviewed articles since 2003, emphasizing aeroacoustic modeling, experimental validation, and noise reduction techniques. Recent work addresses serrated trailing-edge airfoils and electric ducted fan acoustics. Awards: NSERC Discovery Grant (2022) Early Career Researcher Award (2020) CARIC and CRIAQ Grants Grants & Advising: Secured multi-million dollar funding for aerospace noise research. Advised numerous graduate students in experimental aeroacoustics and structural optimization. Professional Roles: Board Member of the Canadian Acoustical Association and Associate Editor of Canadian Acoustics journal.

• Human Computer Interaction (HCI)
• User Interface Design
• Aesthetics and Emotion
• +۵ مورد دیگر

Gitte Lindgaard is a Distinguished Research Professor in the Department of Psychology at Carleton University, affiliated with the Faculty of Arts and Social Sciences. She holds a Ph.D. from Monash University. Her primary research focuses on Human-Computer Interaction (HCI), particularly the intersection of aesthetics, emotion, and interactive technology design. She investigates how multimodal communication (text, visuals, sound, scent) impacts user experience and decision-making processes. Expertise includes user interface evaluation, sensory system integration, and cognitive limitations in technology use Studies the rapid judgment formation (50ms visual appeal decisions) and cross-modal effects (e.g., scent influencing judgments) Applies findings to educational technology (e.g., geography learning) and complex decision-making fields like medical diagnosis Current research explores scent's impact on cognitive performance and music's emotional influence. Her work emphasizes creating emotionally engaging interfaces beyond basic usability standards.

Oliver van Kaickمشاهده پروفایل

دانشیار

• Computer Graphics
• Computer Vision
• Computer Games
• +۴ مورد دیگر

Oliver van Kaick is an Associate Professor at the School of Computer Science, Carleton University, Canada. He joined in 2014 after postdoctoral research at Tel Aviv University (Azrieli Fellow) and Simon Fraser University. His research focuses on geometric modeling, shape analysis, and computer graphics, with applications in 3D content creation, medical imaging, and game development. He holds a PhD from Simon Fraser University and degrees from the Federal University of Paraná, Brazil. Education: PhD in Computing Science, Simon Fraser University (2011) M.Sc. and B.Sc. in Computer Science, Federal University of Paraná (2005 and 2003) Research interests include shape segmentation, correspondence, and similarity estimation, with a focus on learning shape properties through geometry, topology, and functionality. His work has been published in top venues like SIGGRAPH and Eurographics. He leads the Graphics, Imaging, and Games Lab (GIGL) and serves on program committees for major conferences. Key Awards: Azrieli Fellowship (Tel Aviv University) CVMJ 2024 Best Paper Award Advising & Grants: Supervised PhD and Master’s students including Akshai Srinivasan and Tianshu Zhao. Active in research grants related to 3D modeling and computer vision. Labs/Teams: Graphics, Imaging, and Games Lab (GIGL), collaborating on projects like procedural modeling and functionality-aware shape evolution.

• Computer Vision
• Augmented Reality
• Image Processing
• +۴ مورد دیگر

Gerhard Roth is an Adjunct Professor in the Department of Computer Science at Carleton University, affiliated with the School of Computer Science. His research focuses on computer vision, augmented reality, and 3D modeling, with significant contributions to camera calibration, real-time tracking systems, and GPU-accelerated algorithms. He has pioneered work in markerless augmented reality, robust feature matching, and applications in robotics and medical imaging. Key research interests include augmented reality systems development , camera pose estimation , and biologically inspired vision algorithms . His work often bridges computer vision and graphics, addressing challenges such as realistic illumination in AR, efficient video copy detection, and collaborative gesture interaction. Publications span topics ranging from GPU-based visual cortex modeling to panoramic image stitching, reflecting a focus on practical, real-world applications. He collaborates with institutions like the University of Ottawa’s VIVA Lab on projects like TRECVID benchmarking and medical imaging analysis. Current efforts emphasize improving AR authoring tools and robust feature descriptors for dynamic environments. Notable contributions include the Projective Vision Toolkit , Command Center AR tool , and advancements in stereo vision algorithms. His research has implications for robotics, healthcare interfaces, and immersive visualization systems.

• Artificial Intelligence
• Machine Learning
• Natural Language Processing
• +۳ مورد دیگر

Abbas Akkasi is a Research Fellow at the School of Computer Science, Carleton University. His research focuses on advancing artificial intelligence, machine learning, natural language processing (NLP), and accessibility technologies. He has contributed to projects like TactileNet, which uses AI to create tactile graphics for visually impaired individuals, and has explored biomedical informatics applications in clinical text analysis and symptom recognition. His work bridges multiple disciplines, including multimodal learning, semantic analysis, and generative AI. Notable contributions include developing methods for job description parsing, reference-free summarization evaluation, and improving chemical named entity recognition through undersampling techniques. He has also engaged with interdisciplinary efforts in telecommunications (e.g., LTE-D2D for connected cars) and grid computing optimization. Key research themes include leveraging large language models (LLMs) for biomedical NLP tasks, improving accessibility through assistive technologies, and enhancing machine learning algorithms for imbalanced datasets. His publications reflect a commitment to both theoretical advancements and practical applications of AI across healthcare, education, and industry. Abbas has collaborated with institutions such as the TakeLab (as indicated in his SemEval-2018 participation) and has authored over 20 peer-reviewed articles since 2015. His work emphasizes innovation in NLP, computer vision, and interdisciplinary problem-solving.

Farah Chancharyمشاهده پروفایل

مدرس

• Computer Science
• Cloud Computing
• Data Structures
• +۷ مورد دیگر

Farah Chanchary is a Lecturer and Lab/Course Coordinator at the School of Computer Science, Carleton University. She specializes in areas such as data structures, cloud computing, and educational technologies. Her work spans algorithm design, privacy in advertising, and challenges in e-learning, particularly in Saudi Arabia. She coordinates laboratory and course activities, supporting academic infrastructure. Research Interests: - Data Structures and Algorithms - Cloud Computing and Migration - Privacy-Preserving Models in Advertising - E-Learning Readiness and Challenges - Machine Learning Applications (Neural Networks, Genetic Algorithms) - Geometric Query Processing Publications Trends: Her recent work focuses on efficient data structures for window queries, privacy concerns in online advertising, and cloud computing challenges. Earlier research includes studies on e-learning adoption in Saudi Arabia and neural network applications in rainfall forecasting. No awards or grants are listed. She has no documented advisees. She manages laboratory facilities and course coordination in the School of Computer Science.

Dustin Isleifsonمشاهده پروفایل

دانشیار

• Remote Sensing
• Arctic Science
• Microwave Engineering
• +۵ مورد دیگر

Dr. Dustin Isleifson is an Associate Professor in the Department of Electrical and Computer Engineering at the University of Manitoba, affiliated with the Clayton H. Riddell Faculty of Environment, Earth, and Resources. He serves as Director of the Centre for Earth Observation Science (CEOS). His academic background includes a B.Sc. (2005) and Ph.D. (2011) in Electrical & Computer Engineering from the University of Manitoba. His research focuses on remote sensing technologies, sensor development, and Arctic environmental studies, particularly sea ice dynamics and oil spill detection using microwave radar systems. Key projects include experimental studies at the Sea-ice Environmental Research Facility (SERF), satellite data analysis, and antenna design for space applications. Teaching: Courses include ECE 4290 Microwave Engineering, GEOG 4200/7480 Advanced Methods in Remote Sensing, and ECE 7440 Introduction to Microwave Remote Sensing. Research Interests: Sea ice remote sensing, antenna design for satellite systems, oil contamination monitoring, and numerical modeling of microwave interactions with environmental surfaces. Lab/Affiliations: Leads research teams at CEOS and collaborates on Arctic field experiments, CubeSat development (ArcticSat project), and sensor integration with solar cells. His work bridges electrical engineering and environmental science, addressing challenges in Arctic observation and pollution detection. Over 80 publications span radar backscatter modeling, antenna innovation, and interdisciplinary environmental studies.

Gautam Awatramaniمشاهده پروفایل

استاد

• Neural Computation
• Retinal Circuitry
• Visual Processing
• +۲ مورد دیگر

Gautam Awatramani is Professor of Biology at the University of Victoria, where he researches neural circuit mechanisms in the retina. His laboratory employs electrophysiology and imaging techniques to study visual information processing. Current projects investigate how specific retinal circuits extract motion information and encode visual scenes through coordinated neurotransmitter release. The lab uses transgenic mouse models to map synaptic connectivity and signal transformation pathways. Key findings include discoveries about co-transmission mechanisms and direction-selective processing in retinal networks. Research has implications for retinal degeneration therapies.

Banani Royمشاهده پروفایل

استادیار

• Software Maintenance and Renovation
• Software Analytics
• Empirical Software Engineering
• +۴ مورد دیگر

Dr. Banani Roy is an Assistant Professor in the Department of Computer Science at the University of Saskatchewan. Her research focuses on software maintenance, empirical software engineering, program comprehension, and scientific workflow management systems. She explores challenges in quantum computing applications for software engineering, AI-driven code tools, and reproducibility in computational experiments. Her work includes developing frameworks like VizSciFlow for scientific workflow visualization and Nutrient App for environmental monitoring via smartphone applications. Her research interests span topics such as code quality analysis, gender disparities in software systems, and XAI (Explainable AI) challenges. She has contributed to tools like CloneCognition for code clone validation and FSECAM for feature-to-architecture linkage. Her recent studies address developer challenges with large language models and federated learning approaches for real-time bug prediction. Dr. Roy's publications emphasize interdisciplinary applications of software engineering principles in scientific computing, quantum algorithms, and community-driven problem-solving platforms. She advocates for reproducible workflows and FAIR (Findable, Accessible, Interoperable, Reusable) data practices in collaborative scientific research. While no awards are explicitly listed, her extensive contributions to open-source tool development and empirical studies highlight her impact in advancing software engineering methodologies. She collaborates on projects involving legacy system reengineering, cloud-based code clone validation, and asynchronous collaboration frameworks for scientific teams.

Atiya Mahmoodمشاهده پروفایل

استاد

• Environmental Gerontology
• Aging in Place
• Housing Insecurity
• +۲ مورد دیگر

Atiya Mahmood is Professor and Graduate Chair in Gerontology at Simon Fraser University. Trained in environment-behavior studies with a PhD from University of Wisconsin-Milwaukee, her research investigates health and built environments for aging populations. She specializes in mobility, housing insecurity, and neighborhood design for older adults and persons with disabilities. Dr. Mahmood is an Alexander Von Humboldt Fellow and serves on editorial boards including the Journal of Aging and Environment. Research Focus: Her work examines the intersection of aging, disability, and urban environments with emphasis on 'aging in the right place', homelessness interventions, and inclusive community design. Education: PhD Architecture/Environment-Behaviour Studies, University of Wisconsin-Milwaukee MSc Environmental Design, University of Missouri BArch, Bangladesh University of Engineering & Technology Funding & Recognition: Recipient of major grants from SSHRC, CIHR, and CMHC. Alexander Von Humboldt Foundation Fellow recognizing international research excellence.

• Human-computer interaction
• Interaction design
• User experience
• +۵ مورد دیگر

Sowmya Somanath is an Associate Professor in the Department of Computer Science at the University of Victoria, part of the Faculty of Engineering and Computer Science. She holds a PhD from the University of Calgary and specializes in Human-Computer Interaction (HCI), with a focus on interaction design, accessibility, and tangible computing. Her research explores innovative intersections between technology and human experience, including wearable devices for healthcare monitoring (e.g., GlucoMaker), accessible data visualization for visually impaired users (TADA), and interactions between pedestrians and autonomous vehicles. She also investigates digital fabrication practices and the role of material constraints in creative processes. Recent work emphasizes speculative design methodologies to address complex societal challenges, such as reimagining futures for 'doomed' problems through design fiction. Her projects often involve co-design with marginalized communities, ensuring inclusive technological solutions. Dr. Somanath has contributed to over 30 publications since 2011, spanning topics from educational robotics (Spidey) to ethical considerations in autonomous systems. Her work bridges theoretical research with practical applications in education, healthcare, and urban planning. No scientific awards are explicitly listed in her profile, though her impactful contributions to HCI suggest potential recognition in the field. She currently advises no listed students but collaborates extensively with industry and academic partners on maker culture and accessible technology initiatives.

Serguei A. Mokhovمشاهده پروفایل

دانشیار مدعو

• Computer Science
• Software Engineering
• Cybersecurity
• +۹ مورد دیگر

Serguei A. Mokhov is an Affiliate Associate Professor in the Department of Computer Science and Software Engineering at Concordia University’s Gina Cody School of Engineering. He also holds the position of Affiliate Assistant Professor at the Concordia Institute for Information Systems Engineering. Additionally, he serves as the Manager for Network, Security & HPC within GCS ENCS and AITS under the Gina Cody School. His research focuses on cybersecurity, high-performance computing (HPC), digital forensics, real-time systems, and distributed computing frameworks like OpenISS and GIPSY. He is actively involved in developing tools for forensic analysis (e.g., Forensic Lucid) and real-time interactive systems for performing arts and multimedia applications. His work bridges computer science with creative technologies, emphasizing interdisciplinary collaboration. Notable projects include the OpenISS framework for real-time broadcast services and the GIPSY system for intensional programming. He has also contributed to machine learning applications in recommendation systems and cybersecurity. His teaching and research support roles involve integrating containerization (e.g., Kubernetes) and HPC into academic and industrial contexts. Recent publications highlight advancements in forensic computing, real-time gesture recognition, and knowledge graph-enhanced recommendation systems. His research often addresses challenges in scalability, interoperability, and real-time performance across diverse domains from digital forensics to interactive art installations.

• Software Engineering
• Software Evolution
• Knowledge Modeling
• +۷ مورد دیگر

Dr. Juergen Rilling is a Professor in the Department of Computer Science and Software Engineering at Concordia University. His research focuses on global software analytics, software traceability, knowledge modeling, and security vulnerabilities, with a strong emphasis on semantic web technologies. He leads projects in software evolution, mining software repositories, and integrating crowd-based data into development practices. His work bridges software engineering theory with practical tools like SeClone and SeByte, enhancing code analysis, dependency management, and security practices. Research interests include semantic modeling for security advisories, feature location via crowd-based screencasts, and API trustworthiness assessment. He has contributed to frameworks like SE-EQUAM for software quality metamodeling and Sv-AF for vulnerability analysis. His recent work explores machine learning applications in software ecosystems and developer behavior analysis through platforms like Stack Overflow. Publications span over two decades, with a focus on scalable clone detection, ontological approaches for traceability recovery, and integrating financial pattern analysis for software quality prediction. His tools and methodologies are applied in open-source ecosystems and industrial software maintenance contexts.

Tristan Glatardمشاهده پروفایل

دانشیار

• Neuroinformatics
• Reproducibility in Science
• Big Data Infrastructures
• +۴ مورد دیگر

Tristan Glatard is an Associate Professor in the Department of Computer Science and Software Engineering at Concordia University . He holds a Canada Research Chair (Tier II) on Big Data Infrastructures for Neuroinformatics . His work focuses on reproducible research methodologies, neuroimaging analysis pipelines, and open science frameworks. Key contributions include developing tools like NeuroCI for continuous integration of neuroimaging results and VIP (Virtual Imaging Platform) for collaborative research. Research interests span neuroinformatics , reproducibility in computational science , big data architectures , and machine learning applications in healthcare . His projects address challenges in analytical flexibility, software dependency management, and numerical stability in neuroimaging workflows. He actively promotes open data sharing through initiatives like the Neuroimaging Data Model (NIDM) and Brain Imaging Data Structure (BIDS). Recent work emphasizes cross-platform reproducibility, leveraging containerization (Docker/Guix) and cloud-based solutions. He collaborates with international teams to validate neuroimaging pipelines and benchmark computational tools for large-scale biomedical data analysis. Notably absent from the profile are explicit mentions of academic awards or named graduate students, though his work has significant impact on research methodologies. He is deeply involved in open science advocacy through platforms like Brainhack and the Montreal Neuroinformatics Ecosystem.

Ching Yee Suenمشاهده پروفایل

استاد

• Pattern Recognition
• Image Processing
• Artificial Intelligence
• +۹ مورد دیگر

Dr. Ching Yee Suen is a Professor and Director of the Centre for Pattern Recognition and Machine Intelligence (CENPARMI) at Concordia University. He holds an Honorary Chair in AI & Pattern Recognition. His academic roles include former Chairman of the Department of Computer Science and Associate Dean (Research) in the Faculty of Engineering and Computer Science. Education: PhD from the University of British Columbia (UBC) and Master's from the University of Hong Kong. Research focuses on pattern recognition, handwriting analysis, document analysis, computer vision, and applications in security (e.g., counterfeit detection). Key interests include font design, computational linguistics, and facial recognition. Awarded the IAPR King-Sun Fu Prize (2020), Elsevier Award (2016), and Gold Medal from the University of Bari (2012). Recipient of over 30 industrial grants and prestigious national/international awards. Founded major conferences: ICDAR, ICFHR, and Vision Interface (VI). Lab: CENPARMI, leading research in AI and pattern recognition. Supervised 130+ graduate students and hosted 100+ visiting scholars. Editorial roles include Emeritus Editor-in-Chief of Pattern Recognition and advisory roles in multiple journals.