جست‌وجوی استاد و پژوهشگر

Li Qianمشاهده پروفایل

استاد

• Quantum Photonics
• Quantum Communication
• Nonlinear Optics
• +۳ مورد دیگر

Professor Li Qian is a faculty member in the Department of Electrical and Computer Engineering at the University of Toronto , where she leads experimental research in quantum photonics , quantum communication , and high-precision metrology . Her work bridges industrial innovation and academic exploration, with a focus on fiber-based quantum technologies and nonlinear optical devices . Education: BASc (honours), 1993 MASc, 1996 PhD, 2000 Her research in quantum entanglement includes developing room-temperature, fiber-integrated entangled photon sources for future quantum networks. In quantum communication , she advances measurement-device-independent QKD and twin-field QKD to enhance security and practicality. Her high-precision sensing work uses resonator-free spectral features for applications like ultra-narrow Brillouin dips and slow light generation . Recent publications highlight trends in quantum key distribution (QKD), machine learning for entanglement detection , and nonlinear fiber optics . Her group commercialized dispersion measurement technologies via startup Inometrix Inc. Scientific honors include: Fellow, Optica (2023) Canada Research Chair in Photonic Technologies (2006–2012) Premier’s Research Excellence Award (2004) University of Toronto Alumni Association Early Career Award (2003) Prof. Qian advises a diverse team of PhD and Master’s students , including Amita Gnanapandithan , Reem Mandil , and Alexander Greenwood . Her lab specializes in quantum optics , optical sensing , and telecom-integrated photonics .

Jean-Philippe Charronمشاهده پروفایل

استاد

• Structural Engineering
• Concrete Materials
• Fiber-Reinforced Concrete
• +۴ مورد دیگر

Jean-Philippe Charron is a Full Professor in the Department of Civil, Geological and Mining Engineering at Polytechnique Montréal. He directs the Group of Research in Structural Engineering (GRS) and is a key researcher at the Concrete Infrastructure Research Center (CRIB). His affiliations include the International Union of Laboratories and Experts in Construction Materials (RILEM) and the French-speaking Group for Research and Training on Concrete (RF)2B. Education: Ph.D. Civil Engineering, Université Laval (2002) M.Sc. Civil Engineering, Université Laval (1999) B.Sc. Civil Engineering, Université Laval (1997) His research focuses on structural engineering and advanced concrete technologies , including the design/rehabilitation of infrastructure, ultra-high-performance fiber-reinforced concretes (UHPC/UHPFRC), concrete durability under environmental stressors, and novel material characterization methods. He pioneers work on volumetric behavior of concrete (shrinkage, creep) and develops testing protocols for industrial applications. Publications emphasize concrete innovation , with recurring themes in structural strengthening (CFRP/UHPC), durability modeling, alkali-aggregate reaction mitigation, and self-healing concrete. Recent work explores hybrid material systems and infrastructure lifecycle extension. Supervises 40+ graduate students (7 PhD, 28 Master's completed; 5 ongoing). Leads applied projects on precast UHPFRC barriers, bridge girders, and retaining walls. Secured media recognition for UHPFRC innovations in Quebec infrastructure. Directs laboratories specializing in structural testing and concrete characterization. Collaborates with IFSTTAR (France) and EPFL (Switzerland).

Neerja Mhaskarمشاهده پروفایل

استادیار

• String Algorithms
• Algorithms and Data Structures
• Network Security
• +۴ مورد دیگر

Neerja Mhaskar is an Assistant Professor in the Department of Computing and Software at McMaster University's Faculty of Engineering. She is currently accepting graduate students and maintains an active research group. Her office is located in ITB 220, and she can be reached at pophlin@mcmaster.ca. Her educational background includes a PhD in Computer Science from McMaster University (2016), a Master's degree in Engineering Science from Louisiana State University, and a Bachelor's degree in Mechanical Engineering from Jawaharlal Nehru Technological University Hyderabad, India. Dr. Mhaskar's research focuses on the design and analysis of efficient algorithms and data structures, with particular emphasis on string processing for applications in bioinformatics, network security, and data compression. She develops algorithms for pattern matching, secure network design, and big data analysis. Her work bridges theoretical computer science with practical applications in privacy and security, as well as computational biology. Her recent publications demonstrate a strong trend in string algorithms, especially in covering problems and indeterminate strings, with growing applications in network security and bioinformatics. Over the past decade, she has contributed to foundational stringology and expanded into network segmentation and protein sequence analysis. Dr. Mhaskar has not been mentioned to have received any scientific awards in the provided text. Dr. Mhaskar has successfully supervised multiple graduate students. Her current advisees include PhD candidates Shafigh Ashrafi, Hamed Hasibi, Nivetha Raj Pappuraj, and Amin Kashef, as well as Master's students Samkith Kishore Kumar Jain and Shutong Wu. Among her graduated students are Tieyun Zhang, Meng Wang, Chenge Liu, Zehong Wang, Hossein Dehghani, and Holly Koponen, who have gone on to work at companies such as Siemens Canada, Robinhood, and Robotic Assistance Devices, or pursued further studies.

Michael Taitمشاهده پروفایل

استاد

• Structural Engineering
• Seismic Analysis
• Blast Risk Mitigation
• +۴ مورد دیگر

Dr. Michael Tait is a Professor in the Department of Civil Engineering at McMaster University, specializing in structural engineering, seismic isolation, blast risk mitigation, and infrastructure resilience. His research integrates advanced computational modeling with experimental validation to enhance the safety and performance of critical systems. Research Interests Structural and seismic engineering with focus on fiber-reinforced materials Development and analysis of tuned liquid dampers for vibration control Resilience-based design frameworks for blast and multi-hazard scenarios Numerical modeling of complex systems using smoothed particle hydrodynamics Probabilistic risk assessment and infrastructure hardening Selected Publications His recent work (2025-2022) spans seismic fragility of bridges, blast risk mitigation for masonry systems, power grid resilience, and innovative damping technologies. Key themes include hybrid modeling, nonlinear dynamics, and geometric optimization of fluid control systems. Teaching Professor Tait has taught Structural Analysis (CIVENG 3G04) and Structural Dynamics (CIVENG 739) since 2017, emphasizing computational tools and real-world engineering applications.

• Hydrology
• Environmental Science
• Climate Change Impact Assessment
• +۴ مورد دیگر

Edangodage Perera is an Adjunct Associate Professor at McMaster University's School of Earth, Environment & Society. Their research focuses on hydrology, environmental science, climate change impacts, and water resource management, with a strong emphasis on coastal aquifers, flood risk modeling, and groundwater contamination. University: McMaster University Academic Rank: Adjunct Associate Professor Key Research Areas: Hydrology, Climate Change Impact Assessment, Flood Risk Management, Groundwater Modeling, Water Quality Monitoring Perera's recent work includes climate change effects on hydrological regimes in the Congo River Basin , global reservoir sedimentation trends , flood forecasting models for Southeast Asia , and nutrient transport simulations in Japanese river basins . Their publications span peer-reviewed journals, conference proceedings, and technical reports. Key methodologies in their research include Bayesian model averaging for data-scarce environments , fuzzy logic for flood prediction , and three-dimensional numerical modeling of seawater intrusion . They have contributed to global water security strategies for Small Island Developing States (SIDS) and community-based flood damage frameworks in Nepal.

Lingyang Chuمشاهده پروفایل

استادیار

• Data Mining
• Machine Learning
• Knowledge Representation
• +۳ مورد دیگر

Lingyang Chu is an Assistant Professor at the Department of Computing and Software, McMaster University, focusing on data mining, machine learning, and knowledge representation. His career spans industry and academia, including roles as a Principal Researcher at Huawei Technologies Canada and a Postdoctoral Fellow at Simon Fraser University under Prof. Jian Pei. Research Interests: His work bridges theoretical and applied aspects of adversarial attacks on deep neural networks, federated learning, graph neural networks, and model interpretability. Specific interests include watermarking for tabular datasets, fairness in distributed learning systems, and robust clustering techniques. Recent Publications: His research output demonstrates expertise across top-tier conferences and journals, with emphasis on security vulnerabilities in deep learning systems, efficient distributed learning frameworks, and graph-based data mining. Teaching Activities: He has taught graduate and undergraduate courses at McMaster University including Machine Learning on Graphs (CAS 747), Introduction to Data Mining (COMPSCI 3DM3), and Object-Oriented Programming (SFWRENG 2OP3) since 2021. Contact: Email chul9@mcmaster.ca for collaborations and inquiries.

• Software Engineering
• Blockchain Technology
• Model-Driven Development
• +۵ مورد دیگر

Issam Al-Azzoni is an Adjunct Assistant Professor at the Computing and Software school of McMaster University . His work spans software engineering, blockchain technology, and model-driven approaches. Research Focus: Blockchain applications, smart contracts, and model-driven development Key Contributions: Automated contract generation, cybersecurity frameworks, and network optimization Dr. Al-Azzoni’s research interests include: Blockchain-based systems and smart contracts Model-driven engineering for software verification AI integration in network planning and testing Key trends in publications include blockchain for access control, deep learning in graph transformation systems, and model-driven solutions for cybersecurity and wireless networks. His work bridges formal methods with practical applications in distributed systems and AI. Advising and grants information was not explicitly mentioned in the provided texts.

Umair Rehmanمشاهده پروفایل

استادیار

• Human-Centered Computing
• Artificial Intelligence Ethics
• Entertainment Computing
• +۴ مورد دیگر

Umair Rehman is an Assistant Professor in the Computer Science Department at Western University, directing the Human-Centered Computing Group (HCCG). He holds an MASc and PhD in Systems Design Engineering from the University of Waterloo. His research focuses on three core areas: entertainment computing (video games and social technologies), human-centered artificial intelligence, and systems in complex environments. Rehman’s work integrates Human-Computer Interaction (HCI) and cognitive engineering to develop user-centered systems balancing entertainment and productivity. He emphasizes ethical considerations in human-technology interaction, including algorithmic transparency and AI moral reasoning. His research group explores topics such as AI-generated image evaluation frameworks (e.g., GLIPS score), moral decision-making comparisons between humans and AI models (ChatGPT-3), and cybersecurity human factors. Notable projects include studies on flight simulation training devices, blockchain e-voting adoption, and longitudinal coadaptation of older adults with smart technologies. Rehman’s interdisciplinary approach spans game design ethics, wearable technology adoption, and cognitive modeling in driving scenarios. His work bridges technical innovation with societal impact, addressing challenges in AI transparency, cybersecurity education, and technology accessibility. Current initiatives include developing frameworks for evaluating AI systems through human perception and advancing ethical guidelines for autonomous systems.

Laura K. Reidمشاهده پروفایل

مدرس

• Database Systems
• Cybersecurity
• Access Control
• +۳ مورد دیگر

Laura K. Reid is a Lecturer in the Department of Computer Science at Western University, affiliated with the Faculty of Science. She holds an Honors Bachelor of Science in Computer Science and Mathematics from Western University, a Bachelor of Education from Althouse College, and a Master of Science in databases. With over 20 years of experience, she has taught diverse class sizes (15-400 students) across all academic levels. She served as Undergraduate Chair of Computer Science, Computer Science Outreach Chair, and Faculty of Science Outreach Chair. Her academic focus spans database systems security, role-based access control, and computer science education innovation. She has pioneered blended learning approaches in programming courses. Her professional engagements include extensive outreach initiatives promoting STEM education. Notable contributions include foundational work on integrating role-based security with relational databases (1990s) and recent pedagogical research on blended learning challenges. Though no specific awards are listed, her extensive teaching portfolio highlights her dedication to education.

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.

Ryan Grantمشاهده پروفایل

استادیار

• Cloud Computing
• High Performance Networks
• Low-level Hardware-Software Interfaces
• +۶ مورد دیگر

Dr. Ryan Grant is an Assistant Professor in the Department of Electrical and Computer Engineering at Queen’s University, Canada. He leads the Computing at Extreme Scale Advanced Research (CAESAR) lab and is affiliated with the Ingenuity Labs Research Institute. His expertise spans cloud computing, high-performance networks, low-level hardware-software interfaces, and energy-efficient supercomputing systems. Dr. Grant holds a PhD from Queen’s University (2012) and previously worked at Sandia National Laboratories (2012–2021), where he contributed to critical supercomputer communication protocols now deployed globally. He has authored over 80 peer-reviewed articles and received prestigious awards including the R&D100 Award and Queen’s University’s 125th Engineering Alumni Award. His research emphasizes advancing Canada’s supercomputing infrastructure to support AI, climate science, and national security applications. Education: PhD in Computer Engineering, Queen’s University (2012) MSc in Computer Engineering, Queen’s University (2005) BSc in Computer Engineering, Queen’s University (2004) Research Interests: Dr. Grant’s work focuses on optimizing supercomputing architectures for extreme-scale systems, with an emphasis on: High-performance networking and MPI communication protocols Power/energy management in HPC systems AI-driven network traffic prediction and resource disaggregation GPU-accelerated computing and cloud infrastructure integration National sovereignty in supercomputing for sensitive applications (e.g., defense, healthcare) Awards & Recognition: R&D100 Award (Oscars of Research) U.S. Defense Programs Awards Public Good Innovator Award Queen’s University 125th Engineering Alumni Award Grants & Labs: Dr. Grant directs the CAESAR lab, one of the world’s leading supercomputing architecture research groups. His work is supported by grants from Canadian and international agencies, focusing on sovereign supercomputing and HPC-AI convergence. Labs/Teams: CAESAR Lab (Queen’s University) Ingenuity Labs Research Institute

Nicole Goodmanمشاهده پروفایل

دانشیار

• Digital Technology in Politics
• Political Behaviour
• Public Policy
• +۳ مورد دیگر

Nicole Goodman is an Associate Professor in the Department of Political Science at Brock University. She holds a BA and MA from the University of Guelph, and a PhD from Carleton University. Dr. Goodman serves as Director of the Centre for e-Democracy and is a Senior Associate at the Munk School of Global Affairs' Innovation Policy Lab. Her research examines digital technology's impact on Canadian political institutions, with focus areas including: political behavior, election systems, Indigenous governance, and local government policy. Core projects investigate internet voting adoption and its effects on participation patterns and administrative efficiency. Research publications demonstrate consistent focus on digital democracy, voter behavior analysis, and policy implementation studies across Canadian contexts. Recent work explores technological disparities in electoral access and comparative Indigenous governance models. Significant grants include SSHRC-funded studies on Ontario municipal elections and digital technology impacts on Indigenous communities. Additional funding from NSERC and Mitacs supports her interdisciplinary work connecting technology, governance, and public engagement. Dr. Goodman leads research partnerships with government agencies and Indigenous communities. She has provided expert testimony to Ontario's Standing Committee on the Legislative Assembly and federal Special Committee on Electoral Reform.

Nicole Lukeمشاهده پروفایل

استادیار

• Applied Behavior Analysis (ABA)
• Verbal Behavior Development
• Virtual Reality in Education
• +۴ مورد دیگر

Nicole Luke is an Assistant Professor in the Department of Applied Disability Studies at Brock University, part of the Faculty of Social Sciences. She holds a Ph.D. in Education and Applied Behavior Analysis from Columbia University and is a Board Certified Behavior Analyst (BCBA-D). Her research focuses on verbal behavior development, integrating advanced technologies like virtual reality (VR) into learning environments, and organizational behavior management. She has consulted internationally in North America, Europe, and Asia. Dr. Luke’s work emphasizes improving educational systems to enhance quality of life for individuals with disabilities. Her lab, the Luke Lab, explores ABA applications, VR in training, and strategies for professional well-being. She has led mixed-methods research projects, including a study funded by the Canada Games Grant analyzing the impact of the Canada Games on athletes' lives. Education: Ph.D., Columbia University; BCBA-D certification Her research interests span ABA pedagogy, technology-driven interventions, and global education challenges. She advises graduate students in MA programs and collaborates with community organizations to bridge research and practice. Recent projects include investigating metaphor comprehension in children with autism and VR-based training for graduate students. Lab & Teams: The Luke Lab at Brock University focuses on innovative ABA applications and technology-enhanced learning, fostering interdisciplinary collaboration to advance disability studies and educational practices.

Anteneh Ayansoمشاهده پروفایل

استاد

• Information Systems
• E-Government
• Data Privacy
• +۷ مورد دیگر

Anteneh Ayanso is the Department Chair and Professor of Information Systems at the Goodman School of Business, Brock University. His academic role combines leadership in the Finance, Operations and Information Systems Department with research and teaching expertise in information systems and technology-driven business solutions. His research focuses on interdisciplinary areas including E-Government development, data privacy, artificial intelligence in retail, social network analysis, and ICT policy. Notable contributions include studies on technology provider networks, media sentiment impacts on housing markets, and healthcare system efficiency. Ayanso has published extensively in top-tier journals, with recent work addressing pandemic-era economic resilience, AI applications in retail performance, and multi-dimensional bias analysis in language models. His work bridges technology adoption, public policy, and business strategy. He has collaborated on projects involving healthcare technology, social media analytics, and global ICT development indices. His applied research emphasizes practical solutions for organizations and governments navigating digital transformation challenges.

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 .