جستجوی استاد راهنمای دانشگاهی

Dr. Euijin (Alley) Choo is an Assistant Professor in the Department of Computer Science at the University of Alberta, specializing in data-driven cybersecurity and big data analytics. Her research focuses on AI-based cybersecurity solutions, anomaly detection in network traffic, and adversarial attacks on federated learning systems. She holds a Ph.D. from North Carolina State University and has held roles at Qatar Computing Research Institute, Korea University, and the University of Missouri-Rolla. Education: Ph.D., Computer Science, North Carolina State University (2015) M.S., Computer Science & Engineering, Korea University (2008) B.S. Dual Degree in Computer Science & Mathematics, Korea University (2006) Research Interests: Security and big data analysis intersections Federated learning security and privacy Anomaly detection in network logs and enterprise systems Malware/phishing detection using graph inference AI-driven threat intelligence aggregation Recent Grants: Mitacs Accelerate Program Grant: Fraud Detection in Financial Graphs ($60,000, 2025) National CyberSecurity Consortium Grant: IntruderInsight ($2M, 2025-2027) NSERC Discovery Grant: Threat Detection Framework ($180,000, 2025-2031) Awards: Best Paper Award at DBSEC 2015 NSERC Early Career Researcher Award (2025) Provost Fellowship (NC State, 2009-2010) Labs/Teams: Leads the Data-driven Network and Cyber Security (DANS) Lab, focusing on federated learning defenses, compromised entity detection, and malicious domain analysis.

• Data-driven Cybersecurity
• Big Data Analytics
• Graph Mining
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Darren Dahl is a Professor at the University of British Columbia (UBC) Sauder School of Business , holding the RBC Financial Group Professor of Entrepreneurship chair. His research focuses on new product development , creativity , consumer emotions , social influence , and social marketing . Education: BCom from the University of Alberta, PhD from UBC Leadership: Dean of the Sauder School of Business Research Trends: Recent work emphasizes innovation strategies , consumer identity dynamics , ethical marketing , and social impact . He explores how organizational structures influence perceptions, the role of identity in consumption, and the psychological drivers of prosocial behavior. Contact: Office HA 769, Tel: 604-822-8556, Email: darren.dahl@sauder.ubc.ca

• New product development
• Creativity
• Consumer behavior
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Professor Guy-Vincent Jourdan is affiliated with the School of Electrical Engineering and Computer Science at the University of Ottawa. He holds a Ph.D. from Université de Rennes/INRIA (France, 1995) focusing on distributed systems analysis. Prior to academia, he served as CTO and CEO of Decision Academic Graphics, an Ottawa-based firm. His research interests span software security, cybersecurity (including cybercrime prevention), distributed systems modeling, formal methods, mobile applications, and rich internet applications. Specific technical emphases include phishing detection systems, blockchain fraud analysis, and adversarial machine learning. Professor Jourdan has pioneered tools like D-ForenRIA for reconstructing user interactions in Rich Internet Applications and contributed to cybersecurity frameworks such as HEART for log anomaly detection. His work integrates machine learning techniques with domain-specific challenges in network security and software verification. His publications (2023-2025) reflect advancements in AI-driven vulnerability analysis, blockchain fraud detection, and automated phishing detection systems. Notable projects include SV-TrustEval-C for source code vulnerability analysis and Intellitweet for social media threat detection. While no scientific awards are explicitly listed, his prolific publication record and industry-academia transition highlight sustained contributions to computer science and cybersecurity domains.

• Software Security
• Cybersecurity
• Distributed Systems
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Gauthier Gidel is an Associate Professor at the Department of Computer Science and Operations Research (DIRO) within the Faculty of Arts and Science at Université de Montréal, where he also holds the prestigious Canada CIFAR AI Chair position. He is a core faculty member of Mila, Quebec's AI research institute, and maintains active research collaborations with leading institutions. His academic journey includes a PhD in Computer Science under the supervision of Simon Lacoste-Julien, with internships at Sierra, ElementAI, and DeepMind during his doctoral studies. Dr. Gidel's research spans multiple critical areas in machine learning, with particular emphasis on generative modeling , adversarial machine learning , and variational inequalities for machine learning. His work explores the intersection of optimization theory and practical AI systems, focusing on challenges like LLM safety alignment, multi-agent cooperation, and robustness against adversarial attacks. He is particularly known for his contributions to understanding the theoretical foundations of generative adversarial networks through variational inequality frameworks. His recent publications reveal a strong trend toward addressing critical challenges in large language model safety and alignment, with numerous 2024-2025 papers focusing on adversarial robustness, safety evaluation methodologies, and alignment techniques for LLMs. Simultaneously, his foundational work continues in optimization theory, particularly in variational inequalities and performative prediction, demonstrating his dual focus on practical AI safety concerns and theoretical machine learning foundations. Canada CIFAR AI Chair Core member of Mila Organizer of popular NeurIPS workshops on smooth games Co-founder of the ICLR blog post track Dr. Gidel actively supervises an extensive research group with approximately 10 current graduate students and numerous alumni who have secured positions at leading institutions including Inria Lyon, Oxford, and industry research labs. His research is supported by multiple substantial grants from CRSNG, MITACS, and IVADO, including the prestigious CRSNG Discovery Grant program and MITACS Acceleration Québec projects focused on fraud detection in music streaming and conditional generation. His laboratory maintains strong connections with both academic and industry partners, fostering a collaborative environment focused on advancing AI safety and theoretical understanding.

• Deep Learning
• Adversarial Machine Learning
• Generative Modeling
• +۵ مورد دیگر

Vassilios Tzerpos is an Associate Professor at the Lassonde School of Engineering, York University, where he has been since 2001. He holds a Ph.D. in Computer Science from the University of Toronto (2001). His research focuses on audio processing for musical applications, deep learning, digital signal processing, machine listening, and software engineering education. He directs the APTLY lab exploring music-technology intersections and leads the LaSSoftE lab developing socially-oriented software solutions. Education: Ph.D. in Computer Science, University of Toronto, 2001 Research Highlights: Dr. Tzerpos' work spans music information retrieval (e.g., automatic music classification), synthetic speech detection using neural networks, and software engineering pedagogy. His recent projects include Music-STAR for audio re-instrumentation and OER-based learning path creation systems. He has pioneered methods in design pattern detection and software clustering evaluation. Grants & Labs: Leads two research groups: APTLY (music-tech) and LaSSoftE (social impact software). Active in developing adaptive cybersecurity solutions against DoS attacks and refining software architecture recovery techniques. Key Themes in Publications: Recent work emphasizes machine learning applications in music technology and cybersecurity, with foundational contributions to software clustering methodologies and design pattern detection algorithms. His work bridges theoretical computer science with practical applications in education and creative industries.

• Audio Processing
• Machine Learning
• Digital Signal Processing
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Maryam Dilmaghani is a Professor of Economics at the Sobey School of Business, Saint Mary's University. Her research focuses on gender economics, labor markets, health economics, and behavioral economics. She examines topics such as decision-making under competition, socio-cultural influences on economic behavior, and disparities in well-being across demographic groups. Her work frequently employs empirical approaches to analyze data from elite competitions, labor markets, and Canadian demographic trends. Key research themes include: Gender gaps in earnings, risk-taking, and corrupt behavior Impact of religiosity, education, and body image on economic outcomes Demographic patterns in fertility, homeownership, and citizenship Discrimination studies related to race, sexual orientation, and gender identity Her recent publications explore weather effects on chess player performance, LGBTQ+ economic experiences, and the causal links between education and health behaviors. This work highlights intersections between economic systems and sociocultural factors shaping individual choices and societal structures. Dr. Dilmaghani holds no currently listed awards but has produced a prolific body of peer-reviewed research. Her work contributes to policy debates on workplace diversity, urban planning equity, and labor market inclusion. She can be reached at maryam.dilmaghani@smu.ca for academic collaboration inquiries.

• Gender Economics
• Labor Economics
• Health Economics
• +۳ مورد دیگر

Selim Topaloglu is an Associate Professor and RBC Fellow of Finance at the Smith School of Business, Queen's University. He holds a PhD in Finance from Arizona State University, an M.A. in Finance from the Wharton School of the University of Pennsylvania, and a B.S. in Management from Bilkent University. His research focuses on trading behavior of individuals and institutions, initial public offerings (IPOs), and analyst behavior. His work has been published in top journals such as the Journal of Finance, Journal of Financial Economics, and Review of Financial Studies. Education: Ph.D. in Finance, Arizona State University (2002) M.A. in Finance, Wharton School, University of Pennsylvania (1998) B.S. in Management, Bilkent University (1995) Research Interests: Selim's work explores institutional and individual investor behavior, IPO dynamics, and the role of investment banks. He examines how market structures and regulatory frameworks influence trading strategies and market efficiency. His research often bridges empirical finance and institutional economics, with a focus on understanding anomalies in financial markets. Awards: RBC Fellow of Finance (2006–2017) Queen’s School of Business New Researcher Achievement Award (2004) Dean's Fellowship for Distinguished Merit (Wharton School) Grants & Funding: SSHRC Research Grants (2005–2008, 2011–2014) General Research Grants from Smith School of Business McLeod Summer and Term Research Assistantships (2003–2014)

• Financial Markets
• Institutional Trading Behavior
• Initial Public Offerings (IPOs)
• +۳ مورد دیگر

Dr. Michelle Gallant serves as Professor at the University of Manitoba's Faculty of Law (Robson Hall), where she has taught continuously since 1999 and attained full professorship in 2014. She concurrently holds an Adjunct Professor appointment in the university's Peace and Conflict Studies Program since 2005 and is an Associate member of St. Paul's College. Her significant administrative roles include Manitoba Law Reform Commissioner (2012-2018), Deputy Commissioner of the Residential Tenancies Commission (2008-2011), and former Associate Dean (Research and Graduate Studies) and Director of the Legal Research Institute (2004-2010). Her academic credentials feature a Doctor of Philosophy from King's College London (2000), preceded by a Master of Laws from the University of British Columbia (1996) and Bachelor of Laws from the University of New Brunswick (1990). Prior to doctoral studies, she practiced as Legal Counsel for the Federal Department of Justice in Halifax. Dr. Gallant's research centers on the governance of tainted finance, with primary expertise in Money Laundering, Terrorist Finance, and Taxation intersecting with Philanthropy and the Law. Her work critically examines civil forfeiture mechanisms, anti-money laundering regulations, and the tension between financial crime control and human rights protection. She employs empirical methodologies to evaluate regulatory effectiveness across Canadian and international contexts, with particular attention to banking sector vulnerabilities and cross-jurisdictional enforcement challenges. Analysis of her publication record reveals evolving scholarly focus from theoretical frameworks toward empirical studies of civil forfeiture and international regulatory cooperation. Recent work increasingly addresses the impact of financial secrecy jurisdictions on crime control efforts and explores innovative approaches to balancing security imperatives with fundamental rights protections in financial regulation. She maintains active scholarly engagement through presentations at premier international forums including the Cambridge International Symposium on Economic Crime and Global Conference on Transparency Research, where she contributes expertise on civil forfeiture patterns, terrorist finance regulation, and philanthropy law applications.

• Money Laundering
• Terrorist Finance
• Taxation
• +۵ مورد دیگر

Liang Xue is an Assistant Professor in the School of Information Technology at York University. She holds a PhD in Electrical and Computer Engineering from the University of Waterloo (2022) and completed a postdoctoral fellowship at the University of Guelph’s School of Computer Science (2022–2024). Her research focuses on applied cryptography, blockchain security, privacy-preserving AI, and cybersecurity in cloud and IoT systems. She has published in top-tier journals like IEEE Transactions on Dependable and Secure Computing, and conferences such as IEEE International Conference on Communications. Her work addresses challenges in data privacy, secure authentication, and regulatory compliance in decentralized systems. Recent projects include privacy-enhancing technologies for access control, blockchain-based data trading frameworks, and federated learning with privacy guarantees. She actively contributes to standards for cybersecurity in smart cities and next-generation wireless networks.

• Applied Cryptography
• Cybersecurity
• Data Security and Privacy
• +۴ مورد دیگر

Tejaswini Herath is a Professor of Information Systems at the Goodman School of Business, Brock University. Her research focuses on information security governance, mobile payment technologies, and the ethical implications of technology adoption. She has contributed extensively to understanding cybersecurity challenges, digital privacy, and the socio-economic impacts of emerging technologies. Her work often bridges technical and organizational aspects, emphasizing frameworks for risk management and innovation adoption. Recent studies include analyses of mobile payment systems in developing economies, cryptocurrency valuation ethics, and pandemic-era technology governance lessons. Her research spans interdisciplinary topics such as phishing susceptibility, user behavior in digital environments, and the integration of cybersecurity into organizational strategies. She has published over 50 peer-reviewed articles, with a focus on practical applications of theoretical models like Bayesian post-audit frameworks and technology-organization-environment (TOE) models. Her work addresses both academic and industry audiences, advocating for balanced scorecard approaches to security performance measurement. Tejaswini Herath is actively involved in curriculum development for information systems education, emphasizing student motivation and learning outcomes in IS courses. She collaborates with global institutions to study cross-cultural technology adoption patterns and policy implications.

• Information Security Governance
• Mobile Payment Technologies
• Cybersecurity
• +۳ مورد دیگر

Xiaonan Lu is a Professor at McGill University's Faculty of Agricultural and Environmental Sciences, holding the Department of Food Science and Agricultural Chemistry. They serve as a Canada Research Chair (Tier 1) in Food Safety, Ian & Jayne Munro Chair in Food Safety, and William Dawson Scholar. Their research spans multiple critical areas within food safety and analytical food science. Dr. Lu's research focuses on developing innovative detection technologies for food safety applications. Their work integrates food microbiology, analytical chemistry, and engineering to address challenges in pathogen detection, food authentication, and contaminant analysis. Key research areas include food safety engineering, food synthetic biology, cellular agriculture, and the development of smart materials for food applications. They employ advanced techniques such as Raman spectroscopy, CRISPR-based detection systems, microfluidics, and machine learning to create rapid, sensitive detection methods. Analysis of Dr. Lu's recent publications reveals a strong emphasis on practical food safety solutions with immediate industry applications. Their work spans multiple food safety challenges including pathogen detection (particularly Campylobacter), mycotoxin analysis, food authentication, and novel antimicrobial approaches. The research demonstrates a clear progression toward more sensitive, rapid, and field-deployable detection technologies, with increasing integration of machine learning and advanced materials science. Scientific awards: Canada Research Chair (Tier 1) in Food Safety William Dawson Scholar Ian & Jayne Munro Chair in Food Safety Dr. Lu leads a research group focused on food safety engineering and detection technologies. Their work has significant implications for food industry practices, regulatory frameworks, and consumer protection. Current research directions include the development of next-generation antimicrobial resistance surveillance systems, smart traceability solutions, and advanced detection platforms for foodborne hazards. Their laboratory utilizes cutting-edge instrumentation for molecular analysis, microfluidics development, and food microbiology studies.

• Food Safety
• Food Microbiology
• Molecular Microbiology
• +۷ مورد دیگر

Vincent Grégoire is a Full Professor in the Department of Finance at HEC Montréal. He holds a Ph.D. in Finance from the University of British Columbia, M.Sc. degrees in Financial Engineering and Electrical Engineering from Université Laval, and is a Chartered Financial Analyst (CFA). His research focuses on information economics, market microstructure, financial big data analytics, cybersecurity in finance, and machine learning applications in finance. Grégoire is affiliated with the Multidisciplinary Institute for Cybersecurity and Cyber Resilience (IMC²) and IVADO, and collaborates with Fin-ML. He co-chaired the Northern Finance Association in 2024-2025. His recent work includes groundbreaking studies on market microstructure dynamics, passive investing trends, and the implications of cybersecurity on financial systems. His research has been recognized with awards such as the 2022 Best Paper Award in Asset Pricing (Northern Finance Association) and the 2022 Chenelière Éducation/Gaëtan Morin Research Prize from HEC Montréal. Grégoire has supervised over 25 master’s theses and projects, covering topics like cryptocurrency diversification, ESG risk exposure, and fintech-driven solutions for sustainable practices. In teaching, he instructs courses such as Empirical Finance and Investment Analysis. His methodologies emphasize reproducibility and cutting-edge tools like Python for financial data analysis.

• Information Economics
• Market Microstructure
• Financial Big Data Analytics
• +۴ مورد دیگر

Dr. Shaun Aghili serves as an Assistant Professor in the Faculty of Management at Concordia University of Edmonton (CUE), bringing extensive industry experience from the financial services sector. His academic focus centers on internal audit, fraud prevention, and information systems assurance within financial institutions. His educational credentials include: D.B.A. from Argosy University, USA (2003) M.Sc. in Financial Planning and Wealth Management from College for Financial Planning, USA (1999) B.A. from The Catholic University of America, USA (1985) Dr. Aghili's research integrates Risk Management , Cybersecurity , and Financial Services through frameworks like COBIT 5 and Lean Six Sigma. His work develops methodologies for fraud detection using data analytics, improves information systems audit protocols, and addresses security challenges in cloud computing and biometric authentication systems. Notable contributions include operational audit frameworks and corporate forensics governance models. His publication trend (2009-2014) reveals a strategic shift toward interdisciplinary solutions combining information security standards with financial risk management. This evolution demonstrates increasing focus on automated forensic approaches, e-government security models, and cloud computing SLA evaluations within financial contexts. Award recognitions include: IMA Certificate of merit for advancing management accounting literature 2009 IMA merit award for Lean Six Sigma audit framework research As a doctoral advisor, Dr. Aghili has successfully guided three PhD candidates through dissertation research on leadership dynamics in Taiwanese hospitality, workers' compensation fraud patterns, and RFID privacy implications in identification systems. His professional certifications—including CISSP, CISA, and CIA—enhance his industry-relevant research approach within the ISSAM Research Cluster. He actively contributes to CUE's ISSAM (Information Systems Security and Assurance Management) Research Cluster, focusing on cybersecurity risk mitigation strategies for financial institutions through collaborative framework development.

• Internal Auditing
• Fraud Examination
• Information Systems Security
• +۸ مورد دیگر

Cuneyt Gurcan Akcora is an Associate Professor of Computer Science at the University of Central Florida (UCF) and an Adjunct Professor in Computer Science and Statistics at the University of Manitoba, Canada. He holds a Ph.D. from Università degli Studi dell’Insubria (Italy) and an M.S. from SUNY Buffalo (USA) as a Fulbright Scholar. His research focuses on data science applied to complex networks and graph mining, particularly in blockchain and online social networks. He has collaborated with institutions like Yahoo! Research Barcelona, Qatar Computing Research Institute, and Huawei. Education: PhD in Computer Science, 2014 – Università degli Studi dell’Insubria, Italy MEng in Computer Science, 2010 – SUNY Buffalo, USA BSc in Electrical & Electronics Engineering, 2008 – Karadeniz Technical University, Turkey Research Interests: Explainable AI and Graph Machine Learning Topological Data Analysis (TDA) for Blockchain Networks Large-Scale Graph Analysis and Anomaly Detection Nonparametric Statistical Methods Key Contributions: His work includes developing chainlet theory for Bitcoin price prediction, scalable TDA algorithms for blockchain forensics, and interdisciplinary grants exploring blockchain applications in insurance. Notable projects include the Chartalist Dataset for blockchain network analysis and ChainNet , a topological graph learning framework. Awards & Grants: NSERC Discovery Grant (2020) UCF Interdisciplinary Grant for Blockchain in Insurance (2020) Fulbright Scholarship (M.S., SUNY Buffalo) Labs & Teams: Active in UCF’s FData Lab and leads blockchain data analytics initiatives. His work bridges academia and industry through collaborations with Huawei, QCRI, and others.

• Data Science on Complex Networks
• Graph Mining
• Topological Data Analysis
• +۳ مورد دیگر

Travis Salway is an Associate Professor in the Faculty of Health Sciences at Simon Fraser University (SFU). He specializes in social epidemiology with a focus on improving health outcomes for 2SLGBTQ populations. His work addresses stigma-related health disparities, methodological challenges in studying marginalized groups, and equitable healthcare service design. Education: B.A. in Social Welfare (UC Berkeley), M.Sc. in Epidemiology (McGill University), Ph.D. in Epidemiology (University of Toronto). Research interests include: (1) Population health inequities in stigmatized groups, (2) Methodological innovations for socially relevant health research, and (3) Healthcare service adaptation for marginalized communities. He directs the REAFFIRM Collaborative and founded MindMapBC.ca, a mental health service directory for 2SLGBTQ individuals. Publications focus on conversion therapy prevalence, mental health disparities, and policy impacts like the 2019 Canadian legislation (Bill C-4) against anti-LGBTQ practices. His work bridges academic research with community advocacy, emphasizing structural drivers of health inequities.

• Social Epidemiology
• Sexual and Gender Minority Health (2SLGBTQ)
• Mental Health
• +۳ مورد دیگر