جست‌وجوی استاد و پژوهشگر

Daniel Wigdorمشاهده پروفایل

استاد

• Human-Computer Interaction
• Computer Science
• Artificial Intelligence
• +۷ مورد دیگر

Professor Daniel Wigdor is a prominent academic and entrepreneur in Human-Computer Interaction (HCI), holding the rank of Professor at the University of Toronto’s Department of Computer Science. He also serves as Associate Chair for Industrial Partnerships and has held roles at Meta’s Reality Labs Research and Facebook Reality Labs. His research focuses on inventing technologies that enhance human capabilities through novel sensing systems, AI, and haptic interfaces. Key projects include VibraForge, AeroHaptix, and Nabokov’s Cards, emphasizing tactile feedback and creative AI tools. Wigdor has published over 130 peer-reviewed papers, holds 60+ patents, and received awards like the Alfred P. Sloan Fellowship and Ontario Early Researcher Award. Education & Affiliations: PhD in Computer Science (implied, though specific details not provided) Alumnus of the University of Toronto’s Department of Computer Science Former positions at Cornell Tech, Microsoft Research, and Harvard Research Interests: Wigdor’s work spans haptics, VR/AR interfaces, AI-assisted creativity, and multimodal interaction systems. His lab develops tools like TactileNet (digital touch systems) and Fidgets (predictive UI components), reflecting a focus on practical, user-centric innovations. Recent Work Trends: His publications emphasize scalable vibrotactile systems (e.g., VibraForge), UAV teleoperation safety (AeroHaptix), and AI-driven creative writing tools (Nabokov’s Cards). These projects highlight a blend of technical depth and societal impact. Awards: Alfred P. Sloan Foundation Research Fellowship (2015) Ontario Early Researcher Award (2014) Multiple Best Paper Awards at CHI Advising & Grants: Wigdor has mentored over 50 students and postdocs, many advancing to academic and industry roles. Notable advisees include Zhicong Lu (CityU Hong Kong) and Haijun Xia (UC San Diego). His grants support projects like the Symphony of Devices and cross-device software tools. Labs & Teams: Leads the University of Toronto’s HCI research group and co-founded Tactual Labs (2013) and Chatham Labs (2019). Current projects include predictive UI toolkits and AI-assisted creative systems.

• Software Engineering
• Software Maintenance
• Software Design Quality
• +۵ مورد دیگر

Nikolaos Tsantalis is a Professor in the Department of Computer Science and Software Engineering. He serves as Associate Chair for Software Engineering and focuses on advancing software engineering practices through automated refactoring tools, empirical studies, and code quality analysis. His work emphasizes improving software maintainability, design quality, and developer productivity. Research Interests: Automated Refactoring (e.g., RefactoringMiner, JDeodorant) Code Smells and Design Patterns Empirical Studies on Refactoring Tool Support for Software Evolution Code Diffing and Tracking IDE Integration for Refactoring Key Contributions: Developed RefactoringMiner (2020), a tool for detecting refactoring operations in commit histories, and JDeodorant, a static analysis tool for identifying and resolving class-level design smells. His recent work explores leveraging LLMs and semantic embeddings for automated refactoring. Advising/Grants: No students are explicitly listed, but Tsantalis has contributed to numerous tool-based projects funded through academic collaborations. His research spans industry-academia partnerships to improve software development workflows. Labs/Teams: Leads research on automated refactoring and software maintenance through collaborations with IDE vendors and open-source communities.

Sorina Dumitrescuمشاهده پروفایل

استاد

• Multimedia Computing
• Data Compression
• Signal Processing
• +۴ مورد دیگر

Dr. Sorina Dumitrescu is a Professor in the Department of Electrical & Computer Engineering at McMaster University, where she has held various academic and research roles since 2002. She earned her Ph.D. in Mathematics from the University of Bucharest (1997) and completed a postdoctoral fellowship at the University of Western Ontario (2000–2002). Her research focuses on multimedia coding, communications, and data compression, with particular emphasis on network-aware systems, signal quantization, and steganalysis. She has been recognized with the NSERC University Faculty Award (2007–2012). Her research interests include distributed quantization for machine learning, resource allocation in non-orthogonal multiple access systems, and robust image coding. She has authored numerous publications, including a notable book on network-aware source coding. Dr. Dumitrescu teaches courses such as COMPENG 3SM4 (Algorithm Design and Analysis) and ECE 726 (Machine Learning: An Introduction). Key achievements include pioneering work on multiple description source coding, distributed source coding, and steganalysis. Her articles span topics like optimal quantizer design, network resource allocation, and error-resilient coding strategies. Awards and grants highlight her contributions to advancing communication systems and information theory.

Otmane Ait Mohamedمشاهده پروفایل

استاد

• Hardware Verification
• Model Checking
• Quantitative Analysis
• +۳ مورد دیگر

Professor Otmane Ait Mohamed is a faculty member at the Department of Electrical and Computer Engineering, Concordia University. His research focuses on formal methods, hardware verification, model checking, and radiation effects on digital circuits. Education: Ph.D., University Henri Poincaré Nancy I (1996) Research Interests: Hardware specification and verification Formal methods for system-level modeling VLSI design automation Radiation effects on FPGA and digital circuits Quantitative analysis of cyber-physical systems Publication Trends: His work spans formal verification of hardware/software systems, radiation-induced faults in aerospace applications, model checking techniques, and abstraction frameworks for SysML/UML diagrams. He has contributed to journals and conferences like IEEE Transactions on Nuclear Science, Expert Systems with Applications, and IEEE International Symposium on Circuits and Systems. Scientific Recognition: Best Paper Award at NEWCAS-2010 Teaching: He teaches courses in Digital Design (COEN313), Computer Architecture (COEN316), and Functional Hardware Verification (COEN413/COEN6541).

Christian Gagnéمشاهده پروفایل

استاد

• Machine learning
• Artificial Intelligence
• Genius Research methods in artificial intelligence
• +۵ مورد دیگر

Christian Gagné is a Full Professor in the Department of Electrical Engineering and Computer Engineering at Laval University's Faculty of Science and Engineering. His research spans machine learning, artificial intelligence, and cybersecurity, with applications in healthcare and autonomous systems. Research Units: VITAM - Sustainable Health Research Center, CRDM (Center for Research in Massive Data), CeRVIM (Research Center in Robotics, Vision and Machine Intelligence), IID (Intelligence and Data Institute) Grants: Multiple MITACS-funded projects (2024-2026) on AI architecture, medical imaging, and autonomous driving His recent work focuses on adversarial robustness, data augmentation, and suicide risk prediction via health data analysis. He has supervised numerous Master's and PhD students in electrical engineering, computer science, and biophotonics. Scientific Awards: Recipient of the Teaching Star award from Laval University's Faculty of Science and Engineering (2008-2018)

Xianbin Wangمشاهده پروفایل

استاد

• 5G/6G
• Intelligent Communications
• Wireless Security
• +۵ مورد دیگر

Professor Xianbin Wang is a Tier-1 Canada Research Chair at Western University , Canada, within the Faculty of Engineering and Department of Electrical and Computer Engineering . With a Ph.D. from the National University of Singapore (2001) , he has led transformative research in 5G/6G , machine learning , and IoT security . His work has attracted over 24,000 Google Scholar citations and 35 patents , including foundational contributions to physical layer authentication and multi-carrier modulation . Ph.D., Electrical and Computer Engineering, National University of Singapore (2001) Director, Innovation Centre for Information Engineering (2018–present) Researcher, Communications Research Centre Canada (2002–2007) His research interests span intelligent wireless system design, secure communications via physical layer attributes, and AI-driven network orchestration. Key areas include: 5G/6G Core Technologies Machine Learning for Authentication Multi-Dimensional Resource Utilization Integrated Security and Trust Management His 15 most recent publications (2019–2022) demonstrate leadership in 6G prototyping , UAV networks , and IoT security using GANs , NOMA , and blockchain . Awards include the IEEE R.A. Fessenden Medal (2022) and fellowships from IEEE, CAE, and EIC. He has served as Editor-in-Chief for IEEE ComSoc Best Readings and Tutorial Chair for major IEEE conferences. As supervisor of over 20 researchers, he leads the Western University Innovation Centre for Information Engineering , supported by NSERC CREATE , Ontario Centres of Excellence , and Canada Foundation for Innovation . His patents on adaptive duplexing, transmitter identification, and integrated locationing systems underpin modern 5G/6G standards .

Randy Flanaganمشاهده پروفایل

استاد

• Motor Control
• Cognitive Neuroscience
• Sensorimotor Adaptation
• +۳ مورد دیگر

Randy Flanagan is a Professor in the Department of Psychology at Queen’s University. His academic career spans over three decades, with degrees including a B.P.E. (1983) from the University of Alberta, an M.A. (1986), and a Ph.D. (1992) from McGill University. His research focuses on understanding the cognitive and computational processes underlying movement control and learning, particularly in areas such as eye-hand coordination, object manipulation, and sensory-motor adaptation. He leads the Cognition and Action Lab, which employs tools like virtual reality to investigate how humans integrate sensory input and motor output during complex tasks. His work bridges neuroscience and psychology, with a focus on linking action and perception. Key themes include the neural mechanisms of sensorimotor adaptation, decision-making in motor planning, and the role of gaze behavior in action control. His most recent publications (2020–2024) emphasize studies on cerebellar-cortical dynamics, manifold structures in motor learning, and the impact of reward systems on adaptive behaviors. Despite his prolific output, no specific grants or awards are explicitly mentioned in the provided text. Flanagan’s lab collaborations include researchers like J. P. Gallivan and Daniel Wolpert, exploring topics such as neural connectivity during motor tasks and the computational models of sensorimotor integration. His research underscores the interplay between perception and action, contributing to both fundamental neuroscience and potential applications in robotics and rehabilitation.

Carlos Hernandez Castilloمشاهده پروفایل

استادیار

• Neuroimaging
• Movement Disorders
• Neuroscience
• +۶ مورد دیگر

Carlos R. Hernandez Castillo is an Assistant Professor at Dalhousie University's Faculty of Computer Science and holds a Canada Research Chair Tier 2 position. He also serves as a Scientist at Nova Scotia Health Authority. His work bridges computer science, neuroscience, and clinical medicine with a focus on understanding brain function and developing AI-based diagnostic tools for neurological disorders. Dr. Hernandez Castillo earned his MSc in Artificial Intelligence and PhD in Neuroethology from Universidad Veracruzana in Mexico. During his doctoral studies, he conducted research at the Biomedical Research Imaging Center at University of North Carolina, Chapel Hill. His postdoctoral training spanned multiple institutions including UNAM in Mexico City, Queen's University in Kingston, and Western University in London. His research focuses on two interconnected areas: understanding the human brain with particular emphasis on the cerebellum and its interactions with the neocortex, and applying artificial intelligence algorithms to improve diagnostic tools for clinical assessment, primarily using magnetic resonance imaging. His lab conducts multidisciplinary research spanning neuroimaging, movement disorders, neuroscience, and computer vision, with a special interest in spinocerebellar ataxias and other neurodegenerative conditions. His publication record demonstrates a strong trajectory in cerebellar imaging and neurodegenerative disorders, with numerous high-impact papers in neurology and neuroimaging journals. His work often involves large-scale collaborative efforts through the ENIGMA-Ataxia Working Group, reflecting his leadership in international neuroscience research consortia. Canada Research Chair Tier 2 Dr. Hernandez Castillo actively mentors graduate students and postdocs, with current lab members working on diverse projects including fMRI biomarker discovery, neurodevelopment toolboxes, and brain network modeling. His research is supported by multiple funding agencies, enabling cutting-edge work at the intersection of AI and neuroscience. He collaborates with researchers at UNAM, Western University, Monash University, and UCLA|Cedars Sinai, demonstrating the international scope of his work. His lab, CSBrain, maintains active development of computational tools and resources including GitHub repositories, code tutorials, and educational materials. Dr. Hernandez Castillo teaches courses in Computer Vision and MRI analysis, bridging theoretical knowledge with practical applications in medical imaging.

• Wireless Digital Communications
• Indoor Localization
• Error Control Coding
• +۱۲ مورد دیگر

Dr. Ian D. Marsland is an Associate Professor in the Department of Systems and Computer Engineering at Carleton University, Faculty of Engineering and Design. He holds a Ph.D. in Electrical Engineering from the University of British Columbia and has been a faculty member since 1999. His research is centered on wireless digital communications, with a focus on error control coding, noncoherent detection, iterative decoding, and indoor localization. B.Sc.Eng. (Honours) in Mathematics and Engineering, Queen's University, 1987 M.Sc. in Electrical Engineering, University of British Columbia, 1994 Ph.D. in Electrical Engineering, University of British Columbia, 1999 His research interests span wireless digital communications , including indoor localization using wireless networks , error control coding (LDPC, turbo, polar codes) , noncoherent receiver design , and applications of iterative decoding . His work bridges theoretical communication systems with practical implementation in modern wireless networks. The analysis of his recent publications (2020–2024) reveals a strong trend toward advanced modulation and coding schemes such as SCMA , faster-than-Nyquist signaling , and polar codes , often integrated with machine learning (e.g., neural network-aided detection) and high-resolution localization techniques. His work frequently appears in high-impact IEEE journals like IEEE Transactions on Communications and top conferences including ICC and GlobeCom . Dr. Marsland has not been explicitly mentioned as receiving scientific awards in the provided texts. He actively advises graduate students and has collaborated extensively with researchers including H. Yanikomeroglu , R.H. Gohary , and T. Shehata . His research has been supported through academic grants and industrial partnerships, though specific grant details are not listed. He supervises work in areas such as MIMO systems, SCMA, polar coding, and indoor positioning. Dr. Marsland leads a research group focused on wireless communications and signal processing, with active projects in next-generation multiple access, low-latency detection, and robust communication in fading and interference-prone environments. His lab contributes to both theoretical advancements and practical implementations in modern wireless systems.

Stéphane Coulombeمشاهده پروفایل

استاد

• Video Processing
• Video Compression
• Immersive Video
• +۴ مورد دیگر

Stéphane Coulombe is a Professor in the Department of Software Engineering and IT at École de technologie supérieure (ÉTS). He holds a B.Eng. from Polytechnique Montréal and a Ph.D. from INRS Telecommunications. His research focuses on video processing, compression, immersive video systems, and reliable video transmission. He co-leads the Summit Tech Research Chair in Immersive and Interactive Video, aiming to advance immersive video technologies through compression optimization, AI integration, and low-latency transmission methods. Key collaborations include the LABMULTIMEDIA and SYNCHROMÉDIA research laboratories. Research interests span video quality assessment, error correction, and real-time video delivery. Notable achievements include the 2012 Best Paper Award and the 1997 Director General’s Award of Excellence. He has advised numerous doctoral and master’s students, contributing to breakthroughs in HEVC transcoding, deep learning-based error correction, and immersive video standards. Publications highlight advancements in no-reference quality metrics, CRC-based error correction, and 360-degree video compression. Over 50 patents reflect his work on video encoding, transcoding systems, and adaptive multimedia messaging. Current projects address MPEG immersive video standards, VR streaming, and AI-driven video analytics.

Matteo Mariantoniمشاهده پروفایل

دانشیار

• Quantum Computing
• Quantum Error Correction
• Superconducting Quantum Circuits
• +۳ مورد دیگر

Matteo Mariantoni is an Associate Professor at the University of Waterloo and a core faculty member of the Institute for Quantum Computing (IQC). He specializes in experimental quantum computing, focusing on superconducting qubits, quantum error correction, and scalable quantum hardware. His research includes developing high-fidelity two-qubit gates and 3D-wired architectures for scalable systems. Education: PhD in Physics, Technical University Munich (2009) MSc in Physics, Chalmers University of Technology (2003) Research Interests: His work centers on quantum error correction via surface codes, novel qubit readout techniques using shelving mechanisms, and 3D wiring innovations. He collaborates with Dr. Zbig Wasilewski on ultra-high-quality aluminum films for superconducting circuits. His team also explores quantum simulations of the Jaynes-Cummings-Hubbard model to study photonic phase transitions. Teaching: PHYS 242/342/442: Electricity and Magnetism (taught 2020–2025) Awards: Early Researcher Award (2014) Alfred P. Sloan Research Fellowship (2013) Labs & Teams: He leads the IQC Quantum Hardware Group, advancing scalable quantum architectures and superconducting circuit technologies.

Timothy Hsiehمشاهده پروفایل

استاد پژوهشی

• Quantum Information
• Quantum Matter
• Quantum Dynamics
• +۳ مورد دیگر

Timothy Hsieh is a Research Professor at the Perimeter Institute for Theoretical Physics, focusing on quantum dynamics, quantum simulation, and topological phases of matter. His research integrates quantum information science with condensed matter physics, exploring mixed-state phases and their applications in quantum error correction. He holds a postdoctoral fellowship from the Kavli Institute for Theoretical Physics (UCSB, 2015-2018) and received the Early Researcher Award from Ontario in 2021. His work emphasizes novel protocols for inducing long-range entanglement through measurement and feedback, with implications for fault-tolerant quantum computing. Key research directions include: Quantum error correction via conformal field theory Mixed-state stability and Markov length analysis Symmetry-enforced entanglement in mixed states Entanglement dynamics in noisy and adaptive circuits Recent publications highlight advancements in mixed-state quantum phases, with 9 articles in 2024-2025 alone. These explore critical phenomena, topological order, and entanglement diagnostics across platforms like toric codes and conformal systems. His seminars and lectures (e.g., at Google Quantum AI, APS Meetings) further disseminate these findings. Awarded the 2021 Early Researcher Award, his contributions bridge theoretical frameworks with experimental feasibility, advancing quantum technologies through foundational research.

Lilia Krivodonovaمشاهده پروفایل

استاد

• Numerical Analysis
• Computational Physics
• Discontinuous Galerkin Methods
• +۲ مورد دیگر

Lilia Krivodonova is a Professor in the Department of Applied Mathematics at the University of Waterloo. Her research focuses on developing advanced numerical methods including discontinuous Galerkin techniques, error estimation, adaptive methods, and efficient algorithms for solving partial differential equations on complex geometries. She specializes in computational physics applications such as gas dynamics, acoustics, and wave propagation. Her recent work includes simulations of sound propagation in musical instruments and high-performance computing implementations. Krivodonova maintains an active publication record with recent articles focusing on conservation laws, numerical stability, and GPU-accelerated computations.

Evangelos Kranakisمشاهده پروفایل

استاد

• Algorithmics
• Distributed Computing
• Mobile Agent Computing
• +۳ مورد دیگر

Evangelos Kranakis is the Chancellor's Professor at Carleton University's School of Computer Science (SCS), where he has been since 1991 and served as director from 1994 to 2000. He holds a Ph.D. in Mathematics from the University of Minnesota (1980) and a B.Sc. from the National Technical University of Athens (1973). His research focuses on Algorithmics, Distributed and Mobile Agent Computing, Networks (Ad Hoc/Wireless/Sensor), Cryptographic Security, and Computational Biology . He has held visiting positions at institutions worldwide, including ETH Zurich, Université de Paris Sud, and Simon Fraser University. Research interests emphasize algorithmic foundations for distributed systems, mobile agents, and network security. His work bridges theoretical models with practical applications in wireless networks, robotic search strategies, and underwater communication. He leads the Distributed and Network Computing research group and maintains an academic homepage with publications and ORCID profile ( orcid.org/0000-0002-8959-4428 ). Key articles explore topics like optimal task offloading in edge computing, robot coordination for search/evacuation, and UAV trajectory design using reinforcement learning. His contributions span interdisciplinary fields, with a focus on fault-tolerant systems and network optimization. Notable technical achievements include pioneering work on distributed algorithms for mobile agents and underwater acoustic networks. His research also addresses quantum network protocols and multi-agent systems in dynamic environments.

Chris Joslinمشاهده پروفایل

استاد

• Computer Graphics
• Medical Imaging
• Virtual Reality
• +۵ مورد دیگر

Chris Joslin is a Professor at the School of Computer Science, Carleton University. His office is located in 4302 Canal Building, and he can be reached at Chris.Joslin@carleton.ca. He specializes in interdisciplinary research areas including computer graphics, medical imaging, virtual reality, computer vision, and human-computer interaction. His work bridges theoretical advancements with practical applications in animation, 3D modeling, and medical visualization. Research interests include developing novel techniques for 3D editing, medical image processing, and immersive virtual environments. Notable contributions include advancements in 3D Gaussian splatting, AI-driven MRI analysis, and robust sensor fusion for autonomous systems. His publications span from foundational studies on motion retargeting to applied work in procedural audio generation for soft-body simulations. Recent trends in his articles emphasize integration of deep learning with traditional computer vision tasks, optimization of medical imaging workflows, and enhancing accessibility in virtual reality systems. Despite prolific output, no scientific awards are explicitly mentioned in the provided texts. Advising and grant details remain unspecified, though his involvement in collaborative projects like VPARK and ISIS suggests engagement with interdisciplinary teams. His work is anchored at Carleton’s Herzberg Laboratories, a hub for advanced computational research.