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Rui HuView profile

Associate Professor

• Experimental Design
• Robustness in Statistics
• Spatial Statistics
• +4 more

Rui Hu is an Associate Professor at the Department of Mathematics and Statistics within MacEwan University's Faculty of Arts and Science. Their expertise lies in Experimental Design , Robustness in Statistics , and Spatial Statistics , with a strong focus on mathematical analysis and modeling. Education: PhD in Statistics (2016), with a thesis on Robust Designs for Model Discrimination and Prediction of Threshold Probability. Rui's research bridges fractional calculus, functional analysis, and epidemiological modeling, particularly through applications of partial differential equations and Sobolev/Besov space inequalities. Their recent work explores nonlocal operators and extensions via the Caffarelli–Silvestre framework. Rui has published extensively on topics including metapopulation disease models , robust experimental design , and mathematical biology , with a chronological focus from 2011 to 2025. Key trends include stability analysis in population dynamics and innovative applications of probability density functions in sound detection.

Mohamed-Salah OualiView profile

Professor

• Reliability of industrial systems
• Statistical learning models
• Bayesian learning models
• +9 more

Mohamed-Salah Ouali is a Full Professor in the Department of Mathematics and Industrial Engineering at Polytechnique Montréal, where he leads research at the intersection of industrial engineering, data science, and reliability engineering. He maintains active affiliations with the Institute for Data Valorization (IVADO), Poly-Industries 4.0 Laboratory, and the Interuniversity Research Centre on Enterprise Networks, Logistics and Transportation (CIRRELT). Professor Ouali's research focuses on reliability of industrial systems, statistical and Bayesian learning models, remaining life prediction, failure cause analysis, and maintenance optimization. His work bridges theoretical advances in machine learning with practical industrial applications, with particular expertise in developing interpretable models for predictive maintenance and risk assessment. Recent research has expanded into polygon generation techniques, causal reinforcement learning, and heterogeneous data fusion for industrial applications. His publication record shows consistent output with 55 publications through 2025, including significant contributions in Reliability Engineering and System Safety, Journal of Intelligent Manufacturing, and Engineering Applications of Artificial Intelligence. The research trends demonstrate an evolution from traditional reliability models to increasingly sophisticated AI-driven approaches for industrial systems. As an educator, Professor Ouali has supervised 10 PhD students and 13 Master's students, with the most recent completions in 2024 (PhD) and 2021 (Master's). His supervision spans topics in predictive maintenance, failure analysis, and industrial data analytics, with students frequently co-authoring publications in high-impact journals. His laboratory work through the Poly-Industries 4.0 Laboratory focuses on developing practical tools for industrial reliability and maintenance optimization, with strong connections to real-world industrial applications and partnerships.

Ettore MerloView profile

Professor

• Cybersecurity
• Artificial Intelligence
• Software Engineering
• +5 more

Ettore Merlo is a Full Professor in the Department of Computer Engineering and Software Engineering at Polytechnique Montréal, where he leads research in cybersecurity, artificial intelligence, and software systems. He holds an M.Sc. from the University of Turin and a Ph.D. from McGill University. His affiliations include membership in the Institute for Data Valorization (IVADO), focusing on data science and AI innovation. His research integrates software engineering with AI, emphasizing: Software artifact analysis (static/dynamic/symbolic) AI-driven security solutions for clone detection, malware analysis, and access control Fairness and robustness in machine learning systems Evolutionary analysis of software vulnerabilities Recent publications (2022-2025) demonstrate a strong focus on ethical AI, including bias mitigation in neural networks, automated anomaly detection, and certification of safety-critical ML systems. His work frequently applies graph neural networks, unsupervised learning, and formal verification methods to industrial and cybersecurity challenges. Professor Merlo has supervised 25 graduate students (10 PhD, 15 Master's), with projects ranging from avionics software to phishing kit analysis. While no scientific awards are listed, his extensive publication record includes 136 works spanning journals, conferences, and technical reports. Collaborations include partnerships with industrial telecommunication firms and international academia. No dedicated lab is specified, but his research aligns with Polytechnique Montréal's 'New Frontiers in Information and Communications Technologies' center.

Nathalie ParentView profile

Professor

• Psychometrics
• Educational Assessment
• Behavioral Disorders
• +7 more

Nathalie Parent is a Full Professor and Head of the Department of Foundations and Practices in Education at the Faculty of Education, Université Laval. She is based in the Jeanne-Lapointe Building, Room 562 in Quebec City. Her research spans two primary domains: psychometric assessment in education and psychology, and child resilience following traumatic experiences. In psychometrics, she focuses on intelligence testing, personality assessment, methodological biases, and cross-cultural equivalence of tests. Her work includes developing the French-Canadian version of the Wechsler Adult Intelligence Scale-IV and validation studies of various behavioral assessment tools. In child psychology, she investigates protective and vulnerability factors related to resilience, particularly following sexual abuse and other traumatic events. Her recent publications demonstrate consistent productivity in both research streams, with work appearing in journals such as Comprehensive Psychiatry and Child Maltreatment, as well as presentations at major conferences including the American Psychological Association and Canadian Psychological Association meetings. As an educator, she teaches undergraduate courses in Psychometry and Use of Psychometric Tests, along with graduate Special Topics courses. She currently supervises three doctoral students and has mentored numerous master's students through their thesis work. Her research has been supported by significant funding from the Social Sciences and Humanities Research Council of Canada, Quebec Research Fund on Society and Culture, school boards, and commercial test publishers. This funding has enabled her to conduct large-scale studies on child adaptation, sexual violence consequences, and psychometric validation across cultural contexts. Dr. Parent maintains an active research laboratory with web presence at www.fse.ulaval.ca/ressources/testotheque/, where she shares resources related to psychological assessment and educational measurement.