جست‌وجوی استاد و پژوهشگر

Andreas Hirtمشاهده پروفایل

استادیار

• Networking
• Cryptography
• Security
• +۶ مورد دیگر

Dr. Andreas Hirt is an Assistant Professor in Computer Science at the University of Northern British Columbia, holding a PhD and MSc from the University of Calgary and a BSc from UNBC. His research focuses on cybersecurity fundamentals including network anonymity protocols, cryptographic systems, and performance evaluation of secure communication frameworks. Primary research domains include: Design and analysis of anonymity protocols like Taxis and Buses systems Scalability challenges in private communication networks Security threat modeling for distributed systems Applications of data mining in cybersecurity His most cited work examines performance tradeoffs in strong anonymity systems, addressing latency and scalability constraints. Recent publications demonstrate expertise in practical protocol implementation and adversarial analysis. Dr. Hirt is currently not accepting graduate students.

Abdul A. Husseinمشاهده پروفایل

استاد

• Sequential analysis
• Survival analysis
• Finite mixtures
• +۳ مورد دیگر

Dr. Abdul A. Hussein is a Professor in the Department of Mathematics and Statistics at the University of Windsor's Faculty of Science. He holds a Ph.D. from the University of Alberta. His research focuses on sequential analysis, survival analysis, finite mixtures, statistical process control, and health outcomes research. He has supervised multiple master’s students and is actively seeking Ph.D. candidates with expertise in probability theory and stochastic processes. His work spans theoretical and applied statistics, including contributions to nonparametric methods, robust estimation, and clinical trial design. Notable collaborations include studies on pediatric safety interventions and medical device reliability. He has secured research grants supporting projects in sequential analysis and health outcomes. His publications emphasize methodological advancements in statistical testing and applications to biomedicine. Dr. Hussein teaches advanced courses and mentors students in statistical theory and computational methods.

Arunita Jaekelمشاهده پروفایل

استاد

• Vehicular Ad Hoc Networks
• Secure V2V Communications
• Wireless Sensor Networks
• +۳ مورد دیگر

Arunita Jaekel is a Professor in the School of Computer Science at the University of Windsor. She directs the Vehicular Communication Laboratory and maintains professional affiliations with IEEE. Her research focuses on vehicular ad hoc networks (VANETs), secure V2V communications, wireless sensor networks, and mobile network optimization. Key themes include developing machine learning approaches for intrusion detection, congestion control algorithms using reinforcement learning, and privacy-preserving strategies for connected vehicles. Recent publications emphasize deep learning-based anomaly detection, position forgery countermeasures, and adaptive transmission protocols for safety-critical vehicular systems. Her work shows consistent application of AI techniques to enhance security and efficiency in intelligent transportation networks.

Jonathan Andersonمشاهده پروفایل

دانشیار

• Computer Security
• Operating Systems
• Privacy Technologies
• +۳ مورد دیگر

Jonathan Anderson is an Associate Professor at Memorial University of Newfoundland's Faculty of Engineering and Applied Science. He holds a B.Eng. and M.Eng. from Memorial University (2006, 2008) and a PhD from the University of Cambridge (2012). His research focuses on computer security, privacy, operating systems, and the hardware/software interface. He is a contributor to the FreeBSD operating system, particularly its Capsicum sandboxing framework, and maintains securityconferences.net . Anderson's work includes the development of the CHERI capability model and the TESLA security logic assertions framework. He has held postdoctoral roles at Cambridge before returning to Memorial in 2014. His honors include the IEEE Canada–Telus Innovation Award and the Rothermere Fellowship. His research spans secure operating systems, cryptographic protocols, and distributed systems. Key contributions include advancements in sandboxing technologies, secure storage systems, and blockchain applications for data integrity. Anderson actively participates in academic workshops and conferences, contributing to the field of security protocols and system design.

Trung Q. Duongمشاهده پروفایل

استاد

• Wireless Communications
• Quantum Communications
• Quantum Machine Learning
• +۸ مورد دیگر

Trung Q. Duong is a Canada Excellence Research Chair and Full Professor at Memorial University of Newfoundland, Canada. He specializes in wireless and quantum communications, with a focus on 5G/6G networks, IoT applications, and quantum machine learning. His research addresses challenges in network optimization, digital twin integration, and UAV-based communication systems. Education: PhD in Telecommunications Systems from Blekinge Institute of Technology, Sweden. Research Interests: Quantum machine learning, real-time optimization for UAVs, integrated satellite-terrestrial networks, and security in communications. His work spans applications in healthcare, disaster management, and smart cities. Key Achievements: Over 500 publications (20,000+ citations, h-index 76), $54M+ in grants, and prestigious awards like the Newton Prize and IEEE Fellowship. He serves as an editor for top journals such as IEEE Trans. on Wireless Communications and IEEE Wireless Communications Letters. Global Collaborations: Visiting Professorships at National Chung Cheng University (Taiwan), Kyung Hee University (South Korea), and Thuyloi University (Vietnam). Active in international grant review panels across 20+ countries.

Ali Pazahrمشاهده پروفایل

مدرس

• Recommender Systems
• Network Security
• Software Engineering
• +۱ مورد دیگر

Ali Pazahr is Lecturer in Electrical and Computer Engineering at Memorial University, with 20+ years in academia and software development. He holds a PhD in IT (Recommender Systems) from University of Valencia. Research integrates semantic technologies with hybrid recommender systems for social networks. Developed security frameworks including a patented authentication model. Industry experience includes full-stack development for healthcare and agricultural platforms. Editorial roles include Journal of Medical Internet Research and Novel Computer Science Journal. Supervised 26 master's theses and teaches software engineering principles.

Kaarina Kowalecمشاهده پروفایل

دانشیار

• Epidemiology
• Genomics
• Psychiatric Disorders
• +۳ مورد دیگر

Dr. Kaarina Kowalec is an Associate Professor at the College of Pharmacy, University of Manitoba, with an affiliated research position at Karolinska Institutet. Her research leverages genomic and epidemiological approaches to improve outcomes in psychiatric and neurological disorders. Education: Postdoctoral Researcher, Psychiatric Genetics, Karolinska Institutet (2019) PhD in Genomics, University of British Columbia (2016) MSc in Viral Genetics, University of Manitoba (2011) Research Interests: Dr. Kowalec leads two primary research themes: 1) Epidemiology and genomics of poor outcomes in schizophrenia, depression, and psychiatric disorders; 2) Epidemiology and genomics of poor outcomes in multiple sclerosis and chronic immunoinflammatory diseases. Her work integrates population-based data with genomic analyses to develop precision medicine approaches. Publications: Her recent articles focus on genetic risk factors in psychiatric and neurological comorbidities, pharmacogenomics, and population health interventions, utilizing advanced statistical methods like Mendelian randomization and polygenic scoring. Awards: Marie Skłodowska-Curie Fellowship Banting Fellowship Sternfel's Prize (2019) Multiple international awards for pharmacological and genetic research Leadership and Teams: Leads the Kowalec Lab focused on computational genomics, collaborating internationally. Secured >$3M in funding from DoD, NIH, CIHR, and Brain Canada. Mentors PhD students and oversees research on psychiatric genomics and pharmacoepidemiology.

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.

M. Jason Hinekمشاهده پروفایل

دانشیار

• Computer Science Education
• Cryptology
• Computer Security
• +۳ مورد دیگر

Dr. M. Jason Hinek is an Associate Professor in the Teaching Stream and Associate Director of Recruitment/Outreach at Carleton University's School of Computer Science. He holds a PhD from the University of Waterloo (2007). His research focuses on cryptology, computer security, and computer science education, with earlier work in wood polymer studies via NMR analysis. He teaches courses such as Introduction to Computer Science, Discrete Structures, and Applied Cryptography. Dr. Hinek’s scholarly work emphasizes RSA cryptosystem variants, cryptanalysis techniques, and cryptographic protocol security. His publications explore vulnerabilities in multi-prime RSA, attribute-based encryption, and modular arithmetic optimizations. He has contributed to understanding key exposure attacks, encryption efficiency trade-offs, and lattice-based cryptographic attacks. His teaching responsibilities include foundational computer science courses at both undergraduate levels. No scientific awards are explicitly mentioned in his profile. His research spans theoretical cryptography with practical applications in security systems.

Zinovi Rabinovichمشاهده پروفایل

استادیار

• Artificial Intelligence
• Multi-Agent Systems
• Reinforcement Learning
• +۶ مورد دیگر

Zinovi Rabinovich is an Assistant Professor in the School of Computer Science at Carleton University, Ottawa. He previously held positions at Nanyang Technological University (Singapore), Mobileye Vision Technologies, Bar-Ilan University (Postdoctoral Researcher), and the University of Southampton (Research Fellow). He earned his Ph.D. in Computer Science from the Hebrew University of Jerusalem in 2008. Education: Ph.D. in Computer Science, Hebrew University of Jerusalem, 2008 Research Interests: Focuses on manipulating decision behavior and perceptual control in AI systems, particularly in adversarial scenarios. Current work addresses Behavior Cultivation (Backdoor attacks/Environment Poisoning) against Reinforcement Learning, leveraging deep learning, game theory, and evolutionary methods. Key themes include scalability, stealth, and applicability of attacks across learning frameworks. Projects include Choice Manipulation and Security Games and Mixed Initiative DCOPs under grants from the Ministry of Education (Singapore). Awards: None explicitly listed. Advising & Grants: Advises PhD students: Hang Xu, Rundong Wang, Ridhima Bector Recipient of AcRF Tier-1 grant for Mixed Initiative DCOPs research Labs/Teams: Leads The Lab of Z , focusing on ethically grounded AI and its societal implications.

Michel Barbeauمشاهده پروفایل

استاد

• Wireless Communications and Networking
• Underwater Communications
• Quantum Communications
• +۴ مورد دیگر

Michel Barbeau is a Professor and Director at the School of Computer Science, Carleton University. He holds a Ph.D. in Computer Science from Université de Montréal (1991) and has held academic roles at Université de Sherbrooke (1991–1999) and a visiting position at the University of Aizu, Japan. His research focuses on non-classical wireless networks, including underwater acoustic communication systems, quantum networks, and resilience assessment of cyber-physical systems. He leads projects involving acoustic signal processing, underwater node communication, and challenges like multipath propagation in aquatic environments. His team tested prototypes in Ottawa’s Rideau Canal. His work spans underwater communication protocols, quantum encryption, and AI-driven network optimization. He is active on YouTube and Twitter, and his ORCID profile highlights interdisciplinary contributions. His research emphasizes practical applications in environmental monitoring, coastal navigation, and secure quantum communication frameworks. Education: Ph.D. Computer Science, Université de Montréal (1991) M.Sc. Computer Science, Université de Montréal (1987) B.Sc. Computer Science, Université de Sherbrooke (1985) Research Interests: Underwater Acoustic Networks Quantum Communications and Cryptography Cyber-Physical Systems Resilience Ad Hoc and Mobile Networks Machine Learning for Network Optimization His current projects address challenges such as signal interference in underwater environments and developing quantum-safe cryptographic algorithms. Collaborations involve interdisciplinary teams of students and researchers. Advancement and Grants: Lead projects on underwater surveillance systems Explores quantum encryption protocols for post-quantum security Investigates AI-driven solutions for UAV and MIMO networks Labs and Teams: His research group focuses on experimental prototyping, including underwater acoustic networks and quantum communication frameworks. Collaborations span academia and industry for real-world applications.

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.

Avery Millerمشاهده پروفایل

دانشیار

• Theoretical Computer Science
• Distributed Algorithms
• Graph Theory
• +۵ مورد دیگر

Avery Miller is an Associate Professor in the Department of Computer Science at the University of Manitoba. His research focuses on theoretical computer science, particularly distributed algorithms, graph theory, and algorithmic lower bounds. He holds a Ph.D. from the University of Toronto, supervised by Faith Ellen, and has held postdoctoral positions at Tel Aviv University and Université du Québec en Outaouais. Education: Ph.D. in Computer Science, University of Toronto (Supervisor: Faith Ellen) M.Sc. in Computer Science, University of Toronto (Supervisor: Faith Ellen) B.Math. in Computer Science and Combinatorics & Optimization, University of Waterloo Research interests include distributed computing in anonymous networks, wireless networks, and graph burning. His work explores deterministic protocols, fault-tolerant systems, and the role of information in distributed algorithms. Recent projects involve reconfiguration of multisets, fast rendezvous in labeled networks, and cop-and-robber games on planar graphs. Publications highlight contributions to distributed algorithms, radio networks, and graph theory, including a best paper award at SPAA 2019. His work often bridges theoretical foundations with practical network challenges. Awards: Best Paper Award at SPAA 2019 Academic service includes roles as Organizing Chair of PODC 2021, Treasurer of PODC 2020, and committee memberships in SPAA, DISC, and other conferences. He reviews for top journals like ACM Transactions on Algorithms and Theoretical Computer Science. Teaching includes courses on automata theory, algorithms analysis, and distributed computing. He is part of the Geometric, Approximation, and Distributed Algorithms Lab at the University of Manitoba.

Jian Tangمشاهده پروفایل

استاد

• Database Systems
• Distributed Computing
• Data Mining
• +۳ مورد دیگر

Dr. Jian Tang is a Professor in the Department of Computer Science at Memorial University of Newfoundland. He holds a M.Sc. from the University of Iowa and a Ph.D. from Penn State University. His primary affiliation is within the Faculty of Science. His research focuses on database systems, distributed computing, data mining, and IoT security. Key projects include fault tolerance in distributed systems, workflow management, intrusion detection in IoT networks, and machine learning applications in healthcare and genomics. He has published extensively on topics like autonomous IoT security systems, feature selection methods for microarray data, and probabilistic resource scheduling in grid environments. Dr. Tang’s work bridges theoretical foundations with practical implementations, particularly in cybersecurity, bioinformatics workflows, and scalable distributed systems. His recent publications emphasize real-time autonomous IoT security solutions and machine learning-driven predictive models for healthcare outcomes.

George O.M. Yeeمشاهده پروفایل

استاد مدعو

• Information Security
• Privacy Protection
• Computational Intelligence
• +۳ مورد دیگر

Dr. George O.M. Yee is an Adjunct Professor at the School of Computer Engineering, Carleton University. He holds a Ph.D. from Carleton and is a licensed Professional Engineer (P.Eng.). His research focuses on information security, privacy protection, computational intelligence, software engineering, and performance optimization. He has received numerous awards, including the IARIA Fellow (2017), AINA-2007 Outstanding Service Award, and multiple Nortel and IEEE accolades. His work emphasizes secure system design, privacy compliance, and cybersecurity metrics. Recent publications address behavioral security postures, attack surface reduction, and threat mitigation strategies. He has contributed to frameworks for privacy protection in distributed systems and cloud computing, leveraging computational methods for policy enforcement and vulnerability analysis. Dr. Yee’s awards reflect his industry and academic impact, including awards for innovation (Nortel Gold Pride, 2000) and IEEE recognition. His research aligns with Carleton’s focus on engineering excellence and interdisciplinary collaboration.