جست‌وجوی استاد و پژوهشگر

Dietlind Stolleمشاهده پروفایل

استاد

• Comparative Politics
• European Politics
• Political Behavior
• +۷ مورد دیگر

Prof. Dietlind Stolle is a James McGill Professor of Political Science at McGill University's Faculty of Arts. She previously served as Director of the Inter-University Centre for the Study of Democratic Citizenship. Her research focuses on comparative politics, European politics, political participation, immigration policy, and gender dynamics in politics. She holds a PhD from Princeton University (2000) and has held visiting positions at institutions like the Wissenschaftszentrum Berlin (WZB) and the European University Institute in Florence. Her academic accolades include the Royal Society of Canada Fellowship (2021), McGill's Faculty of Arts Research Award (2020), and the 2016 CPSA Teaching Excellence Prize. Her landmark book Political Consumerism: Global Responsibility in Action won the CPSA Comparative Politics Book Prize (2014). Current research projects include SSHRC-funded studies on Syrian refugee integration, attitudinal democratic backsliding, and the role of accents in social cohesion. She also investigates the political consequences of pregnancy and white identity dynamics in Canada. Education: PhD in Politics, Princeton University (2000) MA in International Studies, Claremont Graduate University (1993) John S. Knight Fellowship, Stanford University (1991) Professional Activities: Editorial Board Member, American Political Science Review (APSR) Advisory Board Member, Wissenschaftszentrum Berlin (WZB) Labs/Teams: Core member of McGill's political behavior research group Collaborates with WZB teams on migration and social cohesion

Hussein Al Osmanمشاهده پروفایل

دانشیار

• Affective Computing
• Human-Computer Interaction
• Serious Gaming
• +۳ مورد دیگر

Hussein Al Osman is an Associate Professor and Associate Director at the School of Electrical Engineering and Computer Science, University of Ottawa. He holds B.A.Sc., M.A.Sc., and Ph.D. degrees from the same institution. His research focuses on affective computing, multimodal affect estimation, human-computer interaction, serious gaming, and multimedia systems, with recent emphasis on remote physiological signal measurement in healthcare contexts. He has authored over 50 peer-reviewed articles, secured 2 patents, and contributed to technology transfers in industry. Education: Bachelor of Applied Science (B.A.Sc.) Master of Applied Science (M.A.Sc.) Doctor of Philosophy (Ph.D.) Research Interests: Dr. Al Osman’s work spans affective computing, leveraging machine learning for emotion recognition, remote physiological monitoring, and mental health applications. He pioneers systems for suicidal ideation detection via social media, driver distraction analysis, and relapse prediction in psychiatric disorders. His group develops serious games for education and therapy, integrating haptic feedback and virtual reality. Notable contributions include multimodal fusion techniques and biofeedback systems for stress management. Publications: His articles highlight innovations in EEG-based emotion classification, stock market prediction through sentiment analysis, and anomaly detection in healthcare. Recent work explores synthetic data augmentation using large language models and graph neural networks for biomedical signal processing. Labs & Teams: He leads the Multimedia Processing and Interaction Group, advancing interdisciplinary projects at the intersection of AI, human-computer interaction, and healthcare technology.

Azzedine Boukercheمشاهده پروفایل

استاد

• Wireless Communication
• Mobile Ad Hoc Networks
• Sensor Networks
• +۵ مورد دیگر

Azzedine Boukerche is a Full Professor and holds a Canada Research Chair in Large-Scale Distributed Simulation Systems and Vehicular Networking (Tier 1) at the University of Ottawa. He is the Founding Director of the PARADISE Research Laboratory. Previously, he held faculty positions at the University of North Texas, McGill University, and Polytechnic of Montreal, and worked as a Senior Scientist at Metron Corporation. His research focuses on wireless communication, mobile ad hoc networks, sensor networks, distributed systems, and large-scale simulation. He has authored multiple books and numerous publications in top-tier conferences and journals. Research Interests: His work spans Wireless Communication , Mobile Ad Hoc Networks , Sensor Networks , Parallel and Distributed Simulation , and Security in IoT/Underwater Systems . His contributions address challenges in network protocols, privacy, and efficient resource management in dynamic environments. Awards: Ontario Distinguished Researcher Award, Canada Research Chair, G. S. Glinski Award, Best Paper Awards (PADS'97, Telecommunication Software 1999). Leadership: Co-founder of QShine Conference, served as General Chair/Program Chair for IEEE/ACM events, and editorial roles in journals like Wireless Networks and Journal of Parallel and Distributed Computing . Labs & Teams: He leads the PARADISE Lab, focusing on innovations in vehicular networks, underwater systems, and distributed simulation. His team collaborates on projects involving autonomous vehicles, smart cities, and secure communication protocols.

• Human and Machine Speech Processing
• Biomedical Instrumentation
• Auditory Signal Processing
• +۳ مورد دیگر

Professor Hilmi Dajani is affiliated with the School of Electrical Engineering and Computer Science at the University of Ottawa. His research focuses on human/machine speech processing, instrumentation for hearing assessment, auditory signal processing, and cardio-respiratory function testing. His work integrates biomedical engineering principles with advanced signal processing techniques to develop innovative diagnostic tools and non-invasive monitoring systems. Ph.D. holder with extensive academic experience Expertise in developing medical devices for hearing impairment evaluation and cardiovascular health monitoring Key contributions include calibration-free blood pressure estimation methods and speech prosody analysis His research interests span multiple domains: auditory neuroscience, biomedical instrumentation, and wearable health technology . Recent work emphasizes improving speech intelligibility in hearing protection environments and modeling arterial stiffness for cardiovascular risk assessment. Publications highlight advancements in: Non-invasive blood pressure estimation techniques Biometric authentication using speech-evoked responses Machine learning applications in medical signal analysis No academic awards explicitly mentioned in available texts. Advising and grant details are not disclosed here. Active in laboratory research focused on medical device development and clinical validation of physiological measurement systems.

Claude D'Amoursمشاهده پروفایل

استاد

• Wireless Communications
• MIMO Systems
• CDMA
• +۷ مورد دیگر

Claude D'Amours is a Professor at the University of Ottawa's School of Electrical Engineering and Computer Science, serving as Vice Dean of Academic Affairs since 2007. He holds a B.A.Sc., M.A.Sc., and Ph.D. in Electrical Engineering from the University of Ottawa (1990–1995). His career includes roles at the Communications Research Centre (CRC) and the Royal Military College (RMC). Research interests focus on advanced wireless communication systems, including MIMO, CDMA, OFDM/SC-FDMA, and error control coding. Notable innovations include the parity bit selected spreading technique and permutation spreading for MIMO-CDMA systems. He has pioneered work in UAV-to-ground channel modeling, mmWave MIMO precoding, and physical-layer security against jamming attacks. Recent publications emphasize 5G/6G technologies, secure network design, and channel optimization in challenging environments. His work addresses critical challenges in network reliability, interference management, and spectrum efficiency. Teaching awards: 2006 John V Marsh Award and 2007 University Excellence in Teaching Award Leadership roles: Vice Dean overseeing academic affairs in the Faculty of Engineering His research spans theoretical advancements and practical implementations, with contributions to cognitive radio systems, RF fingerprinting, and underwater sonar-based activity detection. Current projects include AI-driven 3D drone deployment frameworks and low-complexity detection algorithms for overloaded CDMA systems.

Abdulmotaleb El Saddikمشاهده پروفایل

استاد

• Multimedia Computing
• Haptics
• Ambient Intelligence
• +۷ مورد دیگر

Abdulmotaleb El Saddik is a Distinguished Professor and University Research Chair in Ambient Interactive Media and Applications at the University of Ottawa's School of Electrical Engineering and Computer Science. He directs the Multimedia Communications Research Laboratory (MCRLab) and the Distributed & Collaborative Virtual Environments Research Laboratory (DISCOVER). His research focuses on haptic systems, multimedia security, and ambient intelligence. He has authored over 350 publications, secured $17M in research grants, and supervised over 100 researchers. El Saddik holds IEEE Fellow status (2009) and multiple prestigious awards, including the Friedrich Wilhelm Bessel Award (2007) and the George S. Glinski Award (2012). He has served as editor for ACM and IEEE journals, chaired over 30 international conferences, and pioneered work in haptics, service-oriented architectures, and collaborative environments. His labs develop cutting-edge solutions for immersive VR, tele-surveillance, and AI-driven systems. Notable contributions include advancements in tactile communication, cybersecurity frameworks, and the integration of digital twins in healthcare. His work bridges academia and industry, with applications in consumer electronics, robotics, and smart cities.

Iluju Kiringaمشاهده پروفایل

استاد

• Databases
• Peer-to-Peer Systems
• Artificial Intelligence
• +۳ مورد دیگر

Iluju Kiringa is a Professor in the School of Electrical Engineering and Computer Science at the University of Ottawa. He holds a Ph.D. from the University of Toronto and advanced degrees from the University of Bonn. His research focuses on Databases, Peer-to-Peer Systems, and Artificial Intelligence with specializations in IoT data management, computational complexity, and environmental data modeling. He has taught numerous graduate and undergraduate courses including CSI5140 (Computational Complexity) and CSI3130 (Databases II), and has developed the Hyperion peer database system. His work emphasizes practical applications such as smart farming systems and cybersecurity in IoT. Key projects include the Ottawa Area XO Smart Farming Research Fields and the Business Intelligence Network. His research has led to advancements in federated learning, adversarial robustness in neural networks, and predictive maintenance algorithms. Kiringa’s work bridges theoretical computer science with real-world challenges in agriculture, environmental science, and distributed systems.

David Knoxمشاهده پروفایل

دانشیار

• Mobile Device Security
• Network Privacy
• Multiprocessor Theory
• +۸ مورد دیگر

David Knox is an Associate Professor at the University of Ottawa's School of Electrical Engineering and Computer Science. He holds a Ph.D. and is a Professional Engineer (P.Eng.). Prior to his academic career, he worked for 20 years in design engineering and management at companies like BNR/Nortel and Tropic Networks, specializing in ASIC design and optical networking systems. At the University of Ottawa, he has developed and teaches engineering design courses, including Secure Software Design and Embedded Computer System Design. His research focuses on mobile device security, privacy in networks, multiprocessor theory, and the scholarship of teaching and learning. He is an IEEE Member and emphasizes experiential education and educational technologies in his work.

• Software Engineering
• Data Science
• Intelligent Systems
• +۳ مورد دیگر

James Miller is a Professor in the Department of Electrical & Computer Engineering at the University of Alberta. He holds a BSc and PhD in Computer Science from the University of Strathclyde, Scotland, and has held academic and research roles including Principal Scientist at the UK National Electronic Research Initiative. His primary research focuses on software verification, validation, and evaluation across embedded, web-based, and ubiquitous systems, with active collaborations with IBM Canada in Data Science. He leads multiple research projects and has authored over 200 refereed publications. Education: BSc in Computer Science, University of Strathclyde PhD in Computer Science, University of Strathclyde Research interests emphasize Software Engineering and Intelligent Systems, with a focus on empirical methodologies, data science applications, and visualization techniques. His work bridges theoretical advancements with practical implementations in cybersecurity, web systems, and embedded environments. His publications span topics like cookie security testing, CAPTCHA analysis, and agile development in embedded systems. He serves on the editorial board of the Journal of Information and Software Technology. Collaborations include IBM Canada on Data Science initiatives and leadership in the STEAM research group. His work often integrates empirical studies with system design to address real-world software challenges.

Peter Hoyerمشاهده پروفایل

دانشیار

• Quantum Computing
• Algorithmics
• Complexity Theory
• +۹ مورد دیگر

Peter Høyer is an Associate Professor in the Department of Computer Science at the University of Calgary, Faculty of Science. He holds a PhD from Odense University (now part of the University of Southern Denmark) under supervisors Joan Boyar and Gilles Brassard. His research focuses on quantum computing, algorithmics, complexity theory, cryptography, and foundational computer science. Education: B.S. in Computer Science, Odense University (1995) M.S. in Computer Science, Odense University (1997) Doctor of Philosophy in Computer Science, Odense University (2000) His research interests include quantum algorithms, quantum cryptography, complexity theory, data structures, and machine learning. He has contributed to quantum query complexity, amplitude amplification, and nonlocal quantum correlations. Awards: Students' Union Teaching Excellence Award (Science), 2020 Multiple Honorable Mentions and Nominations for Teaching Excellence (2007–2019) Alberta Ingenuity Associateship award Pacific Institute of Mathematical Sciences fellowship His work spans quantum algorithms, cryptography, and foundational theory. He has published extensively in top venues like Physical Review A, SIAM Journal on Computing, and Quantum Information Processing.

Joel Reardonمشاهده پروفایل

دانشیار

• Privacy
• Security
• File Systems
• +۹ مورد دیگر

Joel Reardon is an Associate Professor in the Department of Computer Science at the University of Calgary's Faculty of Science. His research focuses on Privacy, Security, and Network Systems, with theoretical contributions in Cryptography and Combinatorics. He teaches graduate courses including Network Systems Security and Privacy by Design Laboratory. Education: PhD in Computer Science, ETH Zurich (2015) M.Math in Computer Science, University of Waterloo (2009) B.Math (Double Honours in Computer Science and Combinatorics & Optimization), University of Waterloo (2006) His interdisciplinary work bridges technical foundations (e.g., distributed systems performance) with societal implications like technology usability and ethical computing. He contributed to a notable media piece on election security for Gimlet Media's 2019 podcast 'Robocall: Bang Bang.'

• Robotics
• Biomedical Engineering
• Control Systems
• +۵ مورد دیگر

Jason J. Gu , PhD, PEng., FEIC, FCAE is a full Professor in the Department of Electrical and Computer Engineering at Dalhousie University within the School of Biomedical Engineering . He has served as IEEE Canada President-elect (2018–2019) and IEEE Canada President (2020–2021) , and is a Fellow of both the Engineering Institute of Canada and the Canadian Academy of Engineering . Research Interests: Robotics : mobile, surgical, rehabilitation, and humanoid robots Biomedical Engineering : medical robotic devices, artificial eye implant control, rehabilitation assistive devices Control Systems : real-time intelligent and adaptive control, industrial and medical applications Alternative Energy : green plug filters, V2G/V2H systems His laboratory focuses on developing new technologies for robotic systems, integrating multi-sensor data fusion, embedded systems, and advanced control methodologies. His work spans theoretical innovation and practical implementation, with applications in healthcare, aerospace, and autonomous systems. Recent Publications: His 2024–2025 publications demonstrate a strong focus on computer vision , robotics , and AI-driven control systems . Topics include SLAM, YOLO-based object detection, UAV systems, human-robot interaction, and biomedical imaging, reflecting a multidisciplinary approach to solving real-world problems. Awards & Honors: IEEE Canada President-elect (2018–2019) IEEE Canada President (2020–2021) Fellow of the Engineering Institute of Canada (FEIC) Fellow of the Canadian Academy of Engineering (FCAE) Laboratory & Projects: Dr. Gu leads a research lab that develops technologies for robotic systems, including the PA10 Portable General-Purpose Intelligent Arm and the B21r Mobile Robotic System. His lab is actively involved in projects related to real-time control, sensor fusion, and biomedical applications.

Herbert H. Tsangمشاهده پروفایل

استاد

• Computational Intelligence
• Bioinformatics
• Mobile Computing
• +۴ مورد دیگر

Herbert H. Tsang is a Professor of Computing Science and Mathematics at Trinity Western University (since 2011) and Adjunct Professor at Simon Fraser University's School of Interactive Arts and Technology. He directs the Applied Research Lab and Undergraduate Research Academy, with affiliations including Senior IEEE/ACM memberships and Professional Engineer (P.Eng.) certification. Education includes a PhD in Computing Science (Simon Fraser University), MSEE (Washington University), and MM (Boston University). Research focuses on computational intelligence applied to bioinformatics, human-computer interaction, and mobile systems. Key areas include RNA structure prediction, gesture recognition for musical conducting, and computational criminology. Recent work integrates machine learning with Laban Movement Analysis and crowd dynamics modeling. Publications demonstrate sustained innovation in RNA design algorithms and gesture classification systems, with consistent applications in biotechnology and public safety. Awards include international recognition for educational technology (CNIE 2019, IELA 2018) and conference best papers. Leads multiple labs including the Applied Research Lab, supervising interdisciplinary projects in marine conservation technology and crime pattern analysis. Secured funding from NSERC, SSHRC, CIHR, and Mitacs.

James Nolanمشاهده پروفایل

استاد

• Transportation Economics
• Agricultural Economics
• Industrial Organization
• +۵ مورد دیگر

James Nolan is a Professor in the Department of Agricultural and Resource Economics at the University of Saskatchewan's College of Agriculture and Bioresources. He holds editorial roles at the Journal of the Transportation Research Forum (since 2016) and has served as President of the U.S. Transportation Research Forum (TRF). His research focuses on transportation economics, industrial organization, and agricultural supply chains, with emphasis on freight modes like rail, trucking, air cargo, and maritime shipping. Nolan employs computational modeling, GIS analysis, and agent-based simulations to study market competition, regulatory policies, and infrastructure challenges. Education: B.A. (Economics & Statistics), Concordia University (Montreal) M.A. (Economics), York University (Toronto) M.Sc. (Mathematical Behavioral Social Sciences), University of California, Irvine Ph.D. (Economics), University of California, Irvine His research interests include spatial economic analysis of freight infrastructure, regulatory decision-making in transportation, and the application of experimental economics to agricultural supply chains. Notable work includes co-editing a 2022 book on international air cargo and analyzing the 1999–2006 air cargo cartel. Nolan has received prestigious awards such as the 2024 Distinguished Transportation Researcher Award (TRF) and the 2017 Professor of the Year Award from the Agricultural Students Association. Grants & Funding: United States Department of Agriculture (2016–2024) Social Sciences and Humanities Research Council (2017–2023) MITACS (2020) Canadian Transportation Agency (2019) Nolan leads projects at the Social Science Research Laboratory and collaborates on agent-based models for farm succession planning, climate adaptation, and bioenergy crop impacts. He has advised on grain elevator exit strategies, rail competition, and maritime emissions reduction. His lab explores future trends in agricultural transportation and supply chain resilience.

• Natural Language Processing (NLP)
• Machine Learning
• Statistical Machine Translation
• +۳ مورد دیگر

Philippe Langlais is a Full Professor at the University of Montreal's Department of Computer Science and Operational Research (DIRO), specializing in Natural Language Processing (NLP). He holds affiliations with research units like the Applied Research Laboratory in Computational Linguistics (RALI) and the Centre de Recherche Interuniversitaire sur les Humanités Numériques (CRIHN). His academic journey includes a PhD from the University of Avignon (1995) and postdoctoral work at IDIAP in Switzerland and KTH in Sweden. Education: PhD in Computer Science, Université d'Avignon (1995) Research Interests: Machine translation, machine learning, analogical learning, computer-assisted translation, morphology acquisition, and NLP applications in judicial and medical contexts. Projects: Principal investigator for initiatives like 'BUMP: Better Understanding of Model’s Performance' and collaborator on large-scale projects such as UNIQUE (Neuroscience & AI) and CRIHN. His work involves developing NLP tools for aviation safety reports, legal texts, and healthcare diagnostics. Awards/Grants: Secured funding from CRSNG, FRQSC, MITACS, and industry partners. Recent grants include 'Revue3.0' (2024-2032) and 'Union Neurosciences et Intelligence Artificielle Québec (UNIQUE)' (2022-2029). Labs/Teams: Leads RALI and contributes to CRIHN, focusing on interdisciplinary applications of NLP in humanities and computational linguistics.