جست‌وجوی استاد و پژوهشگر

Marlos C. Machadoمشاهده پروفایل

استادیار

• Reinforcement Learning
• Deep Learning
• Representation Learning
• +۲ مورد دیگر

Marlos C. Machado is an Assistant Professor at the University of Alberta's Faculty of Science, Department of Computing Science, affiliated with the Alberta Machine Intelligence Institute (Amii) as a Canada CIFAR AI Chair and RLAI principal investigator. His research focuses on reinforcement learning, representation learning, and continual learning, with applications in real-world systems. Education includes B.Sc. and M.Sc. from UFMG Brazil, and Ph.D. from University of Alberta. Research pioneered temporally-extended exploration concepts and contributed to deep reinforcement learning for stratospheric balloon control. Awards include: Canada CIFAR AI Chair (2021) Amii Fellow (2021) AISTATS Best Paper Honorable Mention (2022) NSERC Discovery Grant for state/temporal abstraction research Advises 15+ graduate students and secured $882,858 in research funding. Leads the Reinforcement Learning and Artificial Intelligence group developing novel algorithms for credit assignment and exploration.

Ping Wangمشاهده پروفایل

استاد

• Wireless Communications
• Internet of Things (IoT)
• Machine Learning
• +۵ مورد دیگر

Ping Wang is a Professor at York University in the Department of Electrical Engineering & Computer Science , Lassonde School of Engineering . She is an IEEE Fellow , York Research Chair , and Distinguished Lecturer of the IEEE Vehicular Technology Society . Previously, she was an Associate Professor at Nanyang Technological University (NTU) in Singapore. Education: Ph.D. in Electrical and Computer Engineering, University of Waterloo, 2008 MASc in Electrical and Information Engineering, Huazhong University of Science and Technology, 1997 B.E. in Electrical and Information Engineering, Huazhong University of Science and Technology, 1994 Research Interests: Her research spans wireless communications , Internet of Things (IoT) , machine learning , cloud computing , and smart grid energy management . She focuses on radio resource allocation, network design, performance analysis, and optimization for heterogeneous wireless networks. Future directions include ultra-low power IoT communications, resilient systems, and interdisciplinary integration with power grids and cloud systems. Scientific Awards: IEEE Fellow (2022) Top 2% Stanford Researcher Clarivate Highly-cited Researcher Best Paper Awards: IEEE WCNC (2012, 2022), IEEE ICC (2007), IEEE ComSoc GCC (2018) Best Survey Paper Award, IEEE ComSoc (2023) Teaching & Advising: She teaches undergraduate and graduate courses in communication networks, mobile communications, and digital signal processing. She actively supervises Master’s, PhD, and postdoctoral researchers. Current advisees include Hongda Wu, Farnaz Niknia, and Justin Gouge. She is open to recruiting new students and visiting scholars. Professional Roles: She serves as Associate Editor-in-Chief of IEEE Communications Surveys & Tutorials , Editor-in-Chief of the IEEE VTS Resource Centre, and on the editorial boards of multiple top journals. She has chaired and co-chaired numerous IEEE conferences and symposia.

Saeed Sametمشاهده پروفایل

استاد

• Cybersecurity
• Privacy-Preserving Data Mining
• Federated Learning
• +۵ مورد دیگر

Dr. Saeed Samet is a Professor in the School of Computer Science at the University of Windsor. His research focuses on cybersecurity, privacy-preserving data mining, federated learning, blockchain technology, and healthcare informatics. He has led projects such as the privacy-preserving personal health record system (P3HR) and the decentralized electronic health records (DEHR) model leveraging blockchain. Samet actively engages in interdisciplinary collaborations, including developing frameworks like SEERa for community prediction and RNBFT for scalable Byzantine consensus. He advises students like Saghi Khani on topics such as social isolation detection algorithms. Notably, his work addresses adversarial attacks in machine learning and federated learning security. Samet has contributed to initiatives like the International Collegiate Programming Contest and the WE-Spark Health Institute grants. Education While formal academic credentials are not explicitly detailed in the text, Samet holds a professorship, indicating advanced qualifications in computer science or related fields. His extensive publications suggest doctoral-level expertise. Research Interests Samet’s research spans cybersecurity mechanisms, privacy-preserving methodologies (e.g., homomorphic encryption, federated learning), blockchain applications in healthcare, and machine learning robustness. Recent work emphasizes scalable consensus algorithms (RNBFT), adversarial defense in federated learning, and frameworks for decentralized data evaluation. His projects often integrate real-world challenges, such as combating fake news via generative AI and enhancing pandemic response through blockchain-based patient tracking. Awards & Grants Recipient of a WE-Spark Health Institute grant for innovative research in Windsor-Essex (2021). His work on social isolation algorithms (2020) and privacy-preserving statistical analysis (2019) underscores sustained funding support for impactful projects. Advising & Grants Advises Saghi Khani on machine learning algorithms for social isolation detection. Collaborates on grants involving interdisciplinary teams, such as the $287,000 WE-Spark Health Institute award. His research often bridges academia and industry, addressing practical challenges in healthcare and cybersecurity. Labs & Teams Leads initiatives in the School of Computer Science’s research groups, focusing on privacy-preserving systems and distributed learning. Collaborates with organizations like the WE-Spark Health Institute and the University of Windsor’s interdisciplinary teams on projects such as the DEHR blockchain model and federated learning frameworks.

• Formal methods
• Formal verification
• Model checking
• +۸ مورد دیگر

Summary Alan J. Hu is a Professor in the Department of Computer Science at the University of British Columbia (UBC), affiliated with the Faculty of Science. His primary research interests include formal methods, formal verification, model checking, and software/hardware co-design. He leads research in areas such as post-silicon validation, cloud resource scheduling, and concurrency verification. Hu teaches courses like CPSC 513 (Formal Verification) and CPSC 320 (Algorithm Design). Education & Roles: Ph.D. in Computer Science (Stanford University), current roles include supervision of graduate students (e.g., Malte Schwerin, Stuart Hoad) and leadership in research groups like ICICS and CAIDA. Research Contributions: Key projects include BackSpace (post-silicon debug framework), MonoSAT (SMT solver), and contributions to formal verification of embedded systems. His work on cloud resource scheduling (e.g., Gridiron, Cospot) addresses network bandwidth guarantees in datacenters. Awards & Recognition: Recipient of the IEEE Outstanding Service Award, IBM Faculty Award, and UBC CS Teaching Award. His research is supported by industry (Intel, Microsoft) and grants (NSERC, SRC). Labs & Collaborations: Active in UBC's Institute for Computing, Information and Cognitive Systems (ICICS) and the CAIDA lab for AI-driven decision-making.

Luis Ricardez-Sandovalمشاهده پروفایل

دانشیار

• Process Systems Engineering
• Multiscale Modelling
• Computer-Aided Catalyst and Materials Design
• +۷ مورد دیگر

Luis Ricardez-Sandoval is an Associate Professor in the Department of Chemical Engineering at the University of Waterloo, Canada. He holds the Tier II Canada Research Chair in Multiscale Modelling and Process Systems. His research focuses on developing theoretical and computational tools for optimizing chemical processes, with a strong emphasis on CO2 capture technologies, energy systems, and heterogeneous catalysis. His work integrates multiscale modeling, machine learning, and advanced control strategies to enhance process efficiency and sustainability. Education : Doctorate in Chemical Engineering, University of Waterloo (2008) Master of Science in Chemical Engineering, Instituto Tecnologico de Celaya (2000) Bachelor of Science in Chemical Engineering, Instituto Tecnologico de Orizaba (1997) Research Interests : Process Systems Engineering and Multiscale Modelling Computer-Aided Material Design for CO2 Utilization Advanced Process Control and Uncertainty Management Optimal Integration of Process Design, Control, and Scheduling Energy Systems and CO2 Capture Technologies Selected Awards : 2024 Canadian Society of Chemical Engineering D.G. Fisher Award 2017 Canada Research Chair (Tier II) 2015 Early Researchers Award (Ontario) Teaching : CHE 341: Introduction to Process Control CHE 521: Process Optimization CHE 522: Advanced Process Dynamics and Control Labs & Collaborations : Ricardez-Sandoval collaborates with industry and governments to advance carbon reduction technologies. His research group has partnerships with institutions like CONACyT (Mexico), China Scholarship Council, and Tampere University (Finland). Key projects include optimizing aquaculture systems, chemical looping combustion, and catalyst design.

Wendy Parulekarمشاهده پروفایل

استاد

• Clinical Trial Methodology
• Breast Cancer Treatment
• Genitourinary Oncology
• +۳ مورد دیگر

Dr. Wendy Parulekar is a Senior Investigator at the Canadian Cancer Trials Group and Professor in the Department of Oncology at Queen's University. She completed her MD at the University of Ottawa Medical School, followed by residency in Internal Medicine and Medical Oncology (1996), and a fellowship in Clinical Pharmacology at Toronto Sunnybrook Regional Cancer Centre. Since 1999, she has held a joint clinical/research position at Queen's University. Her research focuses on optimizing clinical trial design and methodology, particularly in breast, head/neck, and genitourinary cancers. She chairs the CCTG Education Committee and participates in national/international initiatives like the SPIRIT protocol standardization effort. Notable contributions include leading trials on SBRT for spinal metastases, ADT duration in prostate cancer, and biomarker-driven therapies for mCRPC. Key awards include Fellow of the Society for Clinical Trials (2011). Current trials include PR21 (Lu-177 PSMA therapy), VU.2 STRIVE (vulvar SCC stratification), and ENZAMET (metastatic prostate cancer therapy).

Charlie Obimboمشاهده پروفایل

استاد

• Computer Systems Security
• Intrusion Detection & Prevention Systems
• Artificial Intelligence
• +۱۰ مورد دیگر

Dr. Charlie Obimbo is a Professor at the University of Guelph specializing in Computer Systems Security . His research focuses on Intrusion Detection & Prevention Systems, leveraging advanced AI methods like Support Vector Machines Deep Learning k-nearest Neighbors for network payload classification. He also investigates Data Encryption , Cryptanalysis , and Differential Privacy to address modern cybersecurity challenges involving mobile device security and privacy preservation in large datasets. Recent research trends highlight his work in Enhancing classifier accuracy-interpretability trade-offs Developing privacy-preserving algorithms for medical data Securing web applications against XSS attacks His publications span top conferences like IEEE Canada International Humanitarian Technology Conference and journals such as International Journal of Advanced Computer Science and Applications . Dr. Obimbo's work bridges critical cybersecurity issues including: Malicious payload detection Backdoor prevention Statistical privacy mechanisms Economic impacts of cyber threats

Xinzhi Liuمشاهده پروفایل

استاد

• Hybrid Dynamical Systems
• Nonlinear Stability
• Mathematical Biology
• +۱ مورد دیگر

Xinzhi Liu is a Professor in the Department of Applied Mathematics at the University of Waterloo. His research focuses on hybrid dynamical systems, nonlinear stability, mathematical biology, and secure communication. He develops control strategies for multi-agent systems, stochastic systems, and networked environments. Recent work includes hybrid impulsive control for formation tracking, resilient algorithms for autonomous vehicles under cyber-attacks, and bifurcation analysis of impulsive systems. Applications span robotics, epidemiology, and communication networks.

Kami Vanieaمشاهده پروفایل

دانشیار

• Cyber Security and Privacy
• Human-Computer Interaction
• Phishing Detection
• +۷ مورد دیگر

Biography Dr. Kami Vaniea is an Associate Professor in the Department of Electrical and Computer Engineering at the University of Waterloo, where she leads the Technology Usability Lab in Privacy and Security (TULiPS). Her research focuses on making security and privacy technologies accessible to end-users, developers, and system administrators. Prior to this role, she held positions at the University of Edinburgh (2015–2023) as Reader (Associate Professor) and Indiana University (2014–2015). Education PhD in Computer Science, Carnegie Mellon University, 2012 BSc in Computer Science, Oregon State University, 2005 Research Interests Her work spans cybersecurity, privacy, human-computer interaction, and phishing mitigation. Key areas include: Developer-centered privacy and security practices Phishing detection and user education Smart speaker privacy in multi-user environments Patch management challenges for system administrators Virtual reality applications in authentication systems Affiliations Technology Usability Lab in Privacy and Security (TULiPS) Cybersecurity and Privacy Institute at Waterloo Games Institute and Design Informatics at University of Edinburgh Teaching She teaches courses such as ECE 458 (Computer Security) and ECE 750 (Special Topics in Computer Software), emphasizing practical cybersecurity principles and emerging threats. Grants and Projects Her projects include funded research on phishing mitigation strategies, smart speaker privacy, and developer education in privacy-by-design. She collaborates internationally on initiatives like the REPHRAIN Center for Privacy and Online Influence.

• Electromagnetics
• Wireless Communication
• RF Sensing

Lillian Olule is an Assistant Professor in the Department of Electrical and Computer Engineering at the University of New Brunswick, based at Head Hall D68 in Fredericton. Her research focuses on electromagnetics, wireless communication, and RF sensing technologies. Her work spans antenna design, energy harvesting systems, and biomedical sensing applications. Recent projects include metamaterial-based energy harvesters, reconfigurable wireless platforms, and non-contact vital sign monitoring using radar technology. Her publication trends show a strong emphasis on practical RF applications, with consistent work in antenna miniaturization and efficiency optimization. Notable contributions include advancements in RF sensing for healthcare diagnostics and sustainable energy solutions.

• Psychiatric Diagnosis
• Bilingual Language Processing
• Eye Movement Studies
• +۲ مورد دیگر

Veronica Ford is a Part-Time Lecturer at the University of New Brunswick's Faculty of Law. Her interdisciplinary research bridges cognitive neuroscience, psycholinguistics, and clinical psychology, examining bilingual language processing, reading disorders, and technology-assisted psychiatric diagnosis. Research focuses on cognitive mechanisms in bilingual reading, eye-movement patterns in clinical populations (schizophrenia/dyslexia), and developing human-centered diagnostic tools using wearable sensors. Studies employ eye-tracking, ERP, and computational methods to analyze language processing and cognition. Recent articles (2020-2025) investigate cross-language activation during reading, L1 orthographic effects on L2 speech, psychiatric diagnosis systems using ECG, and perceptual span in disordered reading. Work consistently integrates behavioral, neurophysiological, and computational approaches.

Nigussie Mengeshaمشاهده پروفایل

استادیار

• E-Government Systems
• Developing Economies
• Information Systems Implementation
• +۳ مورد دیگر

Nigussie Mengesha is Assistant Professor of Information Systems at Brock University's Goodman School of Business. His research examines technology adoption and information systems implementation in developing economies, with focus on e-government systems and open source solutions. Research interests include: E-government readiness assessment Technology capacity building Open source software implementation Cybersecurity practices in organizations Machine learning applications in governance Recent publications explore relationships between e-government development and state fragility, applying machine learning techniques to analyze national digital transformation patterns. His work emphasizes practical implications for digital governance in resource-constrained environments.

Michael Horschمشاهده پروفایل

دانشیار

• Artificial Intelligence
• Reasoning Under Uncertainty
• Constraint Satisfaction
• +۳ مورد دیگر

Dr. Michael Horsch is a retired Associate Professor in the Department of Computer Science at the University of Saskatchewan. His research focuses on Artificial Intelligence, Reasoning Under Uncertainty, Constraint Satisfaction, and Machine Learning. He has contributed to bioinformatics through the P2IRC sub-theme, linking genotype and environment to phenotype using computational methods. Education: PhD (Computer Science, UBC, 1998), M.Sc. (Computer Science, UBC, 1990), B.Sc. (Computer Science & Physics, University of Toronto, 1988). Postdoctoral work at Simon Fraser University (2000). Research interests emphasize practical AI applications, including Bayesian networks, constraint satisfaction algorithms, and machine learning. His work bridges theoretical foundations and real-world problems, such as path planning and sensor optimization. Teaching highlights include courses on AI (CMPT 317), programming (CMPT 145), and machine learning (CMPT 423/820). He revised first-year curricula to improve student accessibility, replacing C++ with more user-friendly languages. Recognized for teaching excellence with the 2014 Provost’s Award. Publications span constraint satisfaction, probabilistic reasoning, and Bayesian networks, with notable contributions to algorithm design and optimization.

Edwin Nissenمشاهده پروفایل

استاد

• Earthquakes
• Active tectonics
• Imaging geodesy
• +۴ مورد دیگر

Edwin Nissen is a Professor and Canada Research Chair (Tier 2) in the School of Earth and Ocean Sciences at the University of Victoria. His research specializes in earthquakes and active tectonics using geodetic remote sensing, seismology, and field geomorphology to understand fault mechanics and seismic hazards. Research Focus: Mechanics of large earthquake ruptures, uncharacteristic seismic events, differential lidar techniques, drone-based fault mapping, and active tectonics of Cascadia and the Canadian Cordillera. Current projects include SchoolShake outreach program deploying seismometers in schools across British Columbia. Education: DPhil in Earth Sciences, University of Oxford MSc in Natural Sciences (Geology), University of Cambridge BA in Natural Sciences (Geology), University of Cambridge Research employs advanced techniques including InSAR, lidar differencing, and seismic analysis to investigate earthquake deformation patterns across diverse tectonic settings from Iran to New Zealand. The group maintains active field programs using drone lidar systems to map fault geomorphology in challenging terrains. Scientific Awards: Canada Research Chair (Tier 2) Award for Research Excellence Editors' Citation for Excellence in Refereeing The UVic Earthquakes Group collaborates with Geological Survey of Canada researchers and maintains instrumentation for high-resolution topographic mapping of active faults. Outreach initiatives include SchoolShake citizen seismology program engaging schools across Vancouver Island.

Amir H. Chinaeiمشاهده پروفایل

دانشیار

• Computer Science Education
• Access Control Models with Adjustable Decentralization
• Data Security and User Privacy
• +۱ مورد دیگر

Amir H. Chinaei is an Associate Professor and Department Chair at the Department of Electrical Engineering & Computer Science at York University . He holds a Ph.D. in Computer Science from the University of Waterloo (2007), an MSc in Software Engineering from Amirkabir University of Technology, and a BSc in Software Engineering from Isfahan University. Ph.D. in Computer Science (University of Waterloo, 2007) MSc in Software Engineering (Amirkabir University of Technology) BSc in Software Engineering (Isfahan University) His research focuses on Computer Science Education , Access Control Models , Data Security , and Information Visualization . His publications emphasize security frameworks, privacy preservation in social media/health systems, and access control transitions to modern paradigms. He received the Teaching Excellence in Computer Science award at the University of Toronto and has coached over 100 students in developing information systems. His recent publications span topics from WordPress security to biometric authentication in healthcare. Teaching Excellence in Computer Science (University of Toronto) Additional contributions include curriculum development for software engineering programs, work-integrated learning initiatives, and projects like Decentralized Privacy Preservation in Social Networks and Biometric Access Control for e-Health Records .