جست‌وجوی استاد و پژوهشگر

• Biosensors
• Point-of-care diagnostics
• CRISPR technology
• +۱۰ مورد دیگر

Hongquan Zhang serves as an Associate Professor in the Department of Laboratory Medicine & Pathology at the Faculty of Medicine & Dentistry, University of Alberta. His research program develops cutting-edge bioanalytical tools for ultrasensitive and point-of-care detection of biological targets, with a particular focus on infectious disease diagnostics. Education: Ph.D., University of Alberta (2009) M.Sc., Northwest University, Xi'an, China (1999) B.Sc., Northwest University, Xi'an, China (1997) Dr. Zhang's research explores binding-induced DNA assembly to create innovative diagnostic platforms. His laboratory specializes in developing fluorescent nanosensors for real-time detection in cellular environments, constructing target-triggered DNA nanomachines, and engineering novel affinity ligands through manipulation of functional nucleic acids. His work has made significant contributions to CRISPR-based diagnostics, particularly for SARS-CoV-2 detection, where his team has developed multiple point-of-care testing approaches that integrate nucleic acid amplification with CRISPR technology. Analysis of Dr. Zhang's recent publications reveals a strong research trajectory focused on integrating DNA nanotechnology with CRISPR systems to create streamlined diagnostic platforms. His work consistently addresses the challenge of moving complex molecular diagnostics from laboratory settings to point-of-care applications, with particular emphasis on sample preparation, signal amplification, and visual readout systems that eliminate the need for sophisticated equipment. The interdisciplinary nature of his research bridges chemistry, molecular biology, nanotechnology, and clinical medicine. Teaching: LABMP 551: Laboratory Research Methods LABMP 552: NSERC CREATE Course

Robson De Grandeمشاهده پروفایل

دانشیار

• Vehicular Networks
• Intelligent Transportation Systems
• Cloud Computing and Networking
• +۵ مورد دیگر

Robson E. De Grande is an Associate Professor in the Department of Computer Science at Brock University, Canada. He holds a PhD from the University of Ottawa (2012) and BSc/MSc degrees from the Federal University of São Carlos, Brazil. His research focuses on vehicular networks, intelligent transportation systems, distributed systems, and cloud computing. He serves on program committees for conferences like DS-RT, MobiWac, and MSWiM, and has organized multiple workshops and special sessions. Education: PhD in Computer Science, University of Ottawa, Canada (2012) MSc and BSc in Computer Science, Federal University of São Carlos, Brazil (2006, 2004) Research Interests: Vehicular Networks (5G, Handover Management) Edge Computing and IoT Performance Modeling/Simulation High-Performance Distributed Systems Intelligent Transportation Systems Publications: Over 100 peer-reviewed articles across journals like IEEE Transactions on ITS, Elsevier Internet of Things, and conferences like IEEE ICC and ACM MobiWac. Recent work emphasizes ML-driven vehicular network optimization and distributed simulation frameworks. Teaching: Teaches Advanced Computer Networks (COSC 4P14), Parallel Computing (COSC 3P93), and graduate-level Mobile Cloud Computing courses. Research Team: Supervises PhD/MSc students and undergraduate researchers in topics like vehicular edge computing, traffic prediction, and simulation systems.

Matt Amyمشاهده پروفایل

استادیار

• Quantum Computing
• Programming Languages
• Compilers
• +۳ مورد دیگر

Dr. Matt Amy is an Assistant Professor in the School of Computing Science at Simon Fraser University (SFU), holding the Canada Research Chair in Quantum Computing. His research focuses on quantum compilers, programming languages, and formal verification of quantum programs. He also explores quantum circuit optimization and models of quantum computation. Education: PhD in Computer Science (University of Waterloo, 2019), M.Math in Quantum Information (2013), and B.Math in Computer Science (2011), all from the University of Waterloo. Research Interests: Quantum compilers and languages, circuit optimization, formal verification, and quantum computation models. His work bridges theoretical foundations with practical implementations, emphasizing efficient quantum software development. Recent research trends include advancing quantum compilation techniques, exploring NP-hard optimization problems in quantum circuits, and developing formal methods for quantum program analysis. His work on symbolic synthesis and equational theories for quantum circuits demonstrates a focus on foundational algorithmic challenges. Scientific Awards: Canada Research Chair (2025–present) Advising and Grants: While no current advisees are listed, his research is supported by grants focused on quantum computing and formal methods. He collaborates with industry through SFU’s School of Computing Science. Labs and Teams: Involved with the Tangent Lab, a research group exploring quantum algorithms and software systems at SFU.

Mostafa Milaniمشاهده پروفایل

استادیار

• Data Management
• Databases
• Data Cleaning
• +۷ مورد دیگر

Mostafa Milani is an Assistant Professor in the Department of Computer Science at Western University. His research focuses on data management, databases, and their applications in data cleaning, privacy, provenance, and fairness. Before joining Western, he held postdoctoral positions at the University of British Columbia and McMaster University, and earned his Ph.D. from Carleton University under Dr. Leopoldo Bertossi. Education: Ph.D. in Computer Science from Carleton University (supervised by Leopoldo Bertossi), Postdoctoral Fellowships at University of British Columbia and McMaster University. Research Interests: Data Quality, Privacy, Provenance, Fairness, Entity Matching, Query Optimization, and Database Systems. His work emphasizes ethical data practices and integrates machine learning for improved database interactions. He has contributed to projects like Building Trust in Data (privacy/fairness integration) and Unified Data Exploration (provenance and query recommendations). Courses taught include Databases I/II, Applied Logic, and Web Systems. Current advisees include 7 MSc and 1 PhD student. Former students have graduated across MSc and undergraduate programs. His research is supported by grants and collaborations, and he actively participates in program committees for top conferences like SIGMOD and VLDB.

Yevgen Biletskiyمشاهده پروفایل

استاد

• Knowledge-Based Systems
• Artificial Intelligence
• Semantic Web
• +۳ مورد دیگر

Yevgen Biletskiy is a Professor in the Department of Electrical and Computer Engineering at the University of New Brunswick (UNB), Fredericton. His academic roles include serving as Co-Director of the RuleML Initiative and Program Co-Chair of RuleML-2007. He holds a Ph.D. and is a licensed Professional Engineer (P.Eng.) in New Brunswick. His teaching spans graduate and undergraduate courses in software engineering, digital systems, and power electronics, including EE 6263 (Knowledge Representation for Software Engineering) and EE 6213 (Advanced Digital Systems). Research Interests: His work focuses on Knowledge-Based Systems , Artificial Intelligence , Semantic Web , Information Extraction , FPGA-based Design , and Renewable Energy . He has supervised over 40 graduate and undergraduate students, including 3 active PhD candidates, 1 completed PhD, 9 Masters, and 30+ research-based Bachelors. Publications: Over 100 peer-reviewed articles, including recent contributions on smart grid optimization, fault diagnosis in power electronics, and ontology-driven systems. Notable works include frameworks for semantic interoperability, rule-based learning systems, and FPGA applications. Professional Activities: Served as a reviewer for NSERC grants, IEEE journals (e.g., TKDE, TE), and conferences (CDC, WTAS). He has chaired tracks at international conferences and contributed to industry partnerships through consulting roles with firms like Netsphare Solutions and Vox Interactif. Labs/Teams: Active in UNB’s research initiatives involving power systems, semantic web technologies, and e-learning systems. His lab collaborates on projects like SEMESIS (semantic search systems) and advanced manufacturing post-processing techniques.

Parke Godfreyمشاهده پروفایل

دانشیار

• Databases
• Data Mining
• Artificial Intelligence
• +۷ مورد دیگر

Parke Godfrey is an Associate Professor in the Department of Electrical Engineering & Computer Science at York University. His research focuses on databases, data mining, and artificial intelligence, particularly cooperative query answering, skyline queries, and logic-based query optimization. PhD in Computer Science from University of Maryland, College Park (1999) MS in Information and Computer Science from Georgia Institute of Technology BS in Mathematical Sciences from University of North Carolina at Chapel Hill His current research endeavors include: SPQL (Skyline-based Preference Query Language) for extending SQL Understanding properties of skyline sets Relational algorithms for skyline computation Pareto Search for effective web search Optimizing RDBMS for data mining and scientific applications He has affiliations with: Laboratory for Computer Systems Research at York University IBM Visiting Research Scientist at IBM Toronto Laboratory

Patrick Reillyمشاهده پروفایل

استادیار

• Creativity
• Career Development
• Occupational Dynamics
• +۵ مورد دیگر

Patrick (Pat) Reilly is an Assistant Professor in the Organizational Behaviour and Human Resources Division at the University of British Columbia's Sauder School of Business. His research focuses on the social dynamics of occupations, creativity, career development, and communities of practice, with a particular emphasis on cultural production industries like stand-up comedy and television. He employs qualitative methods in his investigations. Reilly holds a B.A. from Emory University, M.A. degrees from New York University and the University of California Los Angeles (UCLA), and a Ph.D. in Sociology from UCLA. His work explores themes such as non-standard work arrangements, authenticity in creative industries, and the enforcement of community norms. Recent research highlights include analyzing team composition in television creative processes (2024), examining authenticity and norm enforcement in stand-up comedy (2018), and studying career trajectories in cultural production (2017). His publications bridge organizational theory with sociological perspectives, contributing to understanding labor dynamics in creative sectors. No scientific awards are explicitly listed in the provided materials. Teaching responsibilities include courses on negotiations and power & politics in business programs. His research has implications for understanding labor markets, creative industries, and organizational behavior in winner-take-all environments. Reilly's work often intersects with questions of institutional logics, cultural capital, and the socio-economic structures shaping artistic careers. His current projects likely continue exploring these themes through ethnographic and qualitative methodologies.

Vicki Chartrandمشاهده پروفایل

استاد

• Abolitionism
• Indigenous Justice
• Colonialism
• +۶ مورد دیگر

Vicki Chartrand serves as Full Professor in the Sociology Department at Bishop's University and Adjunct Professor in the Criminology Department at the University of Ottawa. She founded and directs the Centre for Justice Exchange, a research hub for collaborative community justice initiatives at Bishop's University. Her academic credentials include a PhD in Sociology from Macquarie University (2008), an MA in Criminology from the University of Ottawa (2002), and a BSSc in Criminology from the University of Ottawa (1999). Chartrand's scholarship critically examines colonial-carceral intersections through Indigenous justice frameworks, prioritizing community-engaged methodologies and abolitionist praxis. Her work actively centers Indigenous women-led responses to violence and decolonizes criminological paradigms by unearthing grassroots justice initiatives. Analysis of her 2016-2022 publications reveals consistent focus on anti-colonial abolitionism, Indigenous self-determination, and carceral system critiques, particularly regarding Missing and Murdered Indigenous Women, Girls and Two-Spirit (MMIWG2S) people. Key thematic threads include prison-industrial complex dismantling, pandemic-era carceral impacts, and transformative pedagogy. With over 25 years of community-based experience working alongside Indigenous communities, women, children, and incarcerated populations, Chartrand mentors through the Justice Exchange Research Clinic Internship while leading collaborative grant-funded projects that prioritize resurgent methodologies and social justice praxis.

Amanda R. Cheongمشاهده پروفایل

استادیار

• Migration
• Citizenship and Legal Status
• Statelessness
• +۵ مورد دیگر

Amanda R. Cheong is an Assistant Professor of Sociology at the University of British Columbia , Faculty of Arts, Department of Sociology. Her research interrogates how legal status and documentation shape life chances, centering on stateless, undocumented, and refugee communities in Southeast Asia and North America. Education Ph.D. Sociology & Social Policy, Princeton University (2019) M.A. Sociology & Social Policy, Princeton University (2016) B.A. (Hons) Sociology, University of British Columbia (2012) Research Interests Dr. Cheong’s work sits at the intersection of migration studies, citizenship theory, statelessness, and socio-legal inquiry . Her ongoing book project, Vital Omissions: Citizenship, Statelessness, and the Politics of Civil Registration in Malaysia , combines ethnographic methods with critical theory to reveal how bureaucratic omission becomes a tool of ethnoracial exclusion and national boundary-making. Selected Scientific Awards & Fellowships American Sociological Association Award Association for Asian Studies Award United Nations Refugee Agency Award American Council of Learned Societies Fellowship International Union for the Scientific Study of Population Fellowship Social Sciences and Humanities Research Council of Canada Grants Southeast Asia Research Group Grants Research Leadership & Affiliations Dr. Cheong holds leadership roles in several UBC centres: Executive committee member, UBC Centre for Migration Studies Faculty affiliate & advisory committee member, UBC Asian Canadian and Asian Migration Studies Steering committee member, UBC Centre for Asian Canadian Research and Engagement She is actively recruiting MA and PhD students for thesis-based programs in Sociology and welcomes interdisciplinary collaborations and undergraduate research assistants.

• Software Engineering
• Formal Methods
• Safety and Security Assurance
• +۷ مورد دیگر

Marsha Chechik is a Professor in the Department of Computer Science at the Faculty of Arts and Science, University of Toronto. She previously served as Department Chair from 2019-2022 and as Acting Dean in the Faculty of Information from July-December 2022. Her academic career spans numerous research contributions and leadership roles within the software engineering community. Professor Chechik's primary research interests focus on software engineering with emphasis on formal methods to enhance software quality. Her work encompasses scalable automated verification techniques including model-checking and theorem-proving, formal specification languages, verification of protocols, non-classical logics, and reasoning under inconsistency. She has made significant contributions to model management, software product lines, safety and security assurance, and automotive safety systems. Her research bridges theoretical foundations with practical applications, particularly in managing uncertainty in software models and developing techniques for automotive safety verification. Her recent publications demonstrate a strong focus on model management and transformations, software product lines and variability analysis, safety and security assurance cases, and semantic analysis of software evolution. The integration of formal methods with practical software engineering challenges, especially in safety-critical domains like automotive systems, represents a consistent theme throughout her work. Professor Chechik has been recognized with multiple prestigious awards including a Best Paper Award at RE'12, a SIGSOFT Distinguished Paper Award at ICSE'12, a Best Student Paper Award at CASCON'07, and a Distinguished Paper Award at ICSE'07, highlighting the impact and quality of her research contributions. She actively supervises graduate students and has successfully guided numerous Ph.D. candidates to completion. Her group has produced graduates who predominantly pursue research careers in both academic institutions and industrial research labs. She currently leads several funded projects including the Automotive Safety project (in collaboration with General Motors) and the Software Evolution project, focusing on practical applications of her research interests. Professor Chechik leads the Software Engineering Lab at the University of Toronto, where innovative projects like Matchmakers (a serious game for software engineering) are developed. Her collaborative network extends across institutions, with notable partnerships including Julia Rubin at the University of British Columbia, demonstrating her commitment to interdisciplinary research and academic collaboration.

Vijay Ganeshمشاهده پروفایل

استاد

• SAT/SMT Solvers
• Artificial Intelligence
• Formal Methods
• +۵ مورد دیگر

Dr. Vijay Ganesh is a Professor of Computer Science at Georgia Institute of Technology, where he also serves as Associate Director of the IDEaS Institute and is affiliated with Tech AI. Previously, he held roles as Associate Professor (2018–2023) and Assistant Professor (2012–2018) at the University of Waterloo, and Research Scientist at MIT (2007–2012). He earned his PhD from Stanford University in 2007. His research focuses on SAT/SMT solvers and their applications in AI, software engineering, security, mathematics, and physics. Notable contributions include developing solvers like MapleSAT, Z3str4, and AlphaZ3, and exploring machine learning-augmented reasoning. He has led projects in logic for AI, proof complexity, and security of blockchain technologies. His awards include ACM Impact Paper (2019), ACM Test of Time (2016), and DATE’s Ten-Year Most Influential Paper (2008). He has advised startups like Quantstamp, a blockchain security firm, and co-directed the Waterloo AI Institute (2021–2023). His teaching includes courses on discrete mathematics, software engineering, and AI. Education: PhD in Computer Science, Stanford University (2007); Master’s in Electrical Engineering, Stanford (2000) Research Interests: SAT/SMT solvers, formal methods, automated testing, AI security, combinatorial mathematics Affiliations: Georgia Tech’s School of Computer Science, IDEaS Institute

Gerald Singhمشاهده پروفایل

پژوهشگر

• Globalization
• Economic Geography
• Sustainable Development
• +۲ مورد دیگر

Gerald Singh is a researcher in the Department of Geography at Memorial University of Newfoundland, focusing on the science-policy interface in sustainable development. His work integrates social, economic, and environmental dimensions to address challenges in achieving the Sustainable Development Goals, particularly those related to oceans and climate change. Education: PhD (2016), University of British Columbia MSc (2011), University of British Columbia BSc (2008), University of Alberta Research Interests: Globalization and resource dynamics Sustainable communities and regions Climate and environmental change Science-policy integration Cumulative impact assessment Risk and uncertainty in sustainability policy Scientific Awards: Nippon Foundation Nereus Program fellow (2016-2019) Current Projects: APRU Pacific Ocean Cluster Project Oceans and Sustainable Development Goals

Stan Matwinمشاهده پروفایل

استاد

• Artificial Intelligence
• Machine Learning
• Data Mining
• +۷ مورد دیگر

Stan Matwin is a Professor and Director of the Institute for Big Data Analytics at the Faculty of Computer Science, Dalhousie University. He is also affiliated with the Institute for Computer Science of the Polish Academy of Sciences. Previously, he was a Distinguished University Professor at the University of Ottawa and has held academic positions at Warsaw University, University of Guelph, Acadia University, and visiting roles across the U.S., Europe, and Latin America. His educational background includes a Ph.D. from Warsaw University (1977) and a D.Sc. (habilitation) from the Polish Academy of Sciences (2010). Stan Matwin's research focuses on Artificial Intelligence , Machine Learning , Data Mining , Text Mining and Analytics , Big Data , and Data Privacy . He is internationally recognized for pioneering work in visual text analytics and the application of machine learning to real-world data challenges. His work bridges academic research and industrial innovation, particularly in technology transfer and data-driven applications. The publications linked from his profile are inaccessible due to a server restriction (403 Forbidden), but he is known to have authored or co-authored over 250 research papers in top-tier venues. Scientific Awards and Honors: Canada Research Chair (Tier 1) in Visual Text Analytics Fellow of the European Coordinating Committee on Artificial Intelligence (ECCAI) Fellow of the Canadian Artificial Intelligence Association (CAIAC) Ontario Champion of Innovation Stan Matwin has secured significant research funding from organizations including the Canada Research Chairs program, Canada Foundation for Innovation (CFI) , NSERC , Ontario Centres of Excellence , and the Canadian Bureau for International Education . He has supervised numerous graduate students and led major research initiatives. He was former president of the Canadian Artificial Intelligence Association (CAIAC) and IFIP Working Group 12.2 on Machine Learning. He is also an active innovator, co-founding technology companies such as Distil Interactive Inc. and Devera Logic Inc. He leads the Big Data Analytics, AI & Machine Learning research cluster at Dalhousie and continues to be a key figure in advancing data science research and training through the Institute for Big Data Analytics.

Andrej Bogdanovمشاهده پروفایل

استاد

• Cryptography
• Computational Complexity
• Pseudorandomness
• +۶ مورد دیگر

Andrej Bogdanov is a Professor at the University of Ottawa in the School of Electrical Engineering and Computer Science . He earned his B.S. and M.Eng. from MIT and Ph.D. from UC Berkeley . Before joining Ottawa, he held positions at the Chinese University of Hong Kong , ITCS (Tsinghua) , DIMACS (Rutgers) , and the Institute for Advanced Study . He has served as a Visiting Professor at the Tokyo Institute of Technology (2013) and the Simons Institute (2017, 2021). Research Interests : Computational complexity, cryptography foundations, pseudorandomness, one-way functions, property testing, quantum algorithms, and sublinear-time algorithms. Teaching : Courses on Discrete Mathematics, Great Algorithms, Computational Complexity, and Cryptography at University of Ottawa, Chinese University of Hong Kong, and Rutgers University. Publications : 15+ recent works in TCC , CRYPTO , ICALP , RANDOM , and journals like Journal of Cryptology and Theory of Computing . Service : Program co-chair for SAC 2026 , and committee member for major conferences including CRYPTO , TCC , Eurocrypt , and FOCS . Advising : 12 current and former Ph.D./M.Phil. students, with postdoctoral advisees at institutions like IIT Palakkad and Academia Sinica . His work bridges theoretical computer science with applications in cryptography, quantum computing, and network security.

Fred Popowichمشاهده پروفایل

استاد

• Natural Language Processing
• Artificial Intelligence
• Big Data
• +۴ مورد دیگر

Fred Popowich is a Professor in the School of Computing Science at Simon Fraser University (SFU), Canada. He holds adjunct positions at Dalhousie University's Faculty of Graduate Studies and is an Associate Member of SFU's Department of Linguistics and Cognitive Science Program. His academic career began post-PhD (Cognitive Science/Artificial Intelligence, University of Edinburgh, 1989) and has spanned over three decades at SFU. Education: PhD in Cognitive Science/Artificial Intelligence (University of Edinburgh, 1989); M.Sc. and B.Sc. in Computing Science (Simon Fraser University and University of Alberta, 1985/1982). Research focuses on natural language processing (NLP), machine translation, intelligent systems, and big data applications. He directs SFU’s Big Data Initiative and leads the Natural Language Laboratory, supervising MSc/PhD students in computing science. His work includes developing systems for smart homes, toxic language detection in social media, and energy grid analysis. Industry roles include co-founding Axonwave Software (as CTO/President) and contributing to technology commercialization. Current projects address EV charging impacts, personalized learning systems, and real-time load monitoring. Publications span machine translation, sentiment analysis, and NLP applications in education and energy systems. His work bridges theoretical computer science with practical applications in healthcare, smart cities, and education.