جستجوی استاد راهنمای دانشگاهی

Dr. Youcef Derbal is an Associate Professor in the Department of Information Technology Management at Toronto Metropolitan University's Ted Rogers School of Information Technology Management. With a Ph.D. in Electrical and Computer Engineering from Queen's University, he brings extensive industry experience from robotics, telecommunications, and software sectors to his academic work. His research focuses on Complex Adaptive Systems, particularly in modeling cancer dynamics through agent-based simulations, machine learning applications for oncology, and computational frameworks for biological processes. Key research areas include tumor dynamics, cell signaling pathways, and tumor-infiltrating lymphocyte recruitment. Dr. Derbal teaches undergraduate courses in business information systems, programming, system analysis, database design, and client-server applications, along with graduate-level advanced project management. His publication record shows consistent output in computational biology, cancer modeling, and grid computing since 2006. Professional affiliations include: Association for Computing Machinery (ACM) Institute of Electrical and Electronics Engineers (IEEE) International Society for Computational Biology (ISCB) Administrative contributions include service on University Senate, chairing multiple departmental committees, leading the Business Technology Management curriculum development (2009-2014), and serving as School Director during 2013/2014.

• Complex Adaptive Systems
• Cancer Modeling
• Machine Learning in Oncology
• +۴ مورد دیگر

Lévis Thériault serves as a Lecturer in the Department of Computer Engineering and Software Engineering within Polytechnique Montréal's Faculty of Engineering. He is also a member of the Institute for Data Valorization (IVADO), contributing to Montreal's AI research ecosystem. His academic credentials include a B.Eng., DESS from UQAC, M.Sc.A., and PhD coursework at Polytechnique Montréal. His research spans two dynamic domains: artificial intelligence applications in healthcare (notably the Marvin chatbot system for HIV treatment adherence) and innovative educational technologies for engineering education. Recent work focuses on conversational agents for patient self-management, digital learning environments, and active learning methodologies. His publication trend shows a strategic pivot toward health AI since 2020, with multiple presentations at International AIDS Conferences, while maintaining his educational technology research thread. Dr. Thériault actively supervises graduate students across multiple cohorts, with current advisees working on AI-driven clinical tools and educational software. His supervision record includes 14 professional Master's graduates between 2021-2024 and ongoing PhD and research Master's projects. Student theses demonstrate strong industry alignment, with implementations at organizations including Desjardins, Intact Assurance, and Criteo. Teaching responsibilities include core courses in operating systems, discrete structures, and software design, where he implements his research on active learning strategies. His 2020 publication on smartphone-based assessment for large engineering classes exemplifies his practical approach to educational innovation. The May 2022 press coverage of his AI solution for Alloprof's homework help platform highlights real-world impact of his educational technology research.

• Artificial Intelligence
• Learning and Inference Theories
• Knowledge Representation
• +۷ مورد دیگر

Dr. Michael Marek Koza is a researcher at the Institut Laue-Langevin (ILL), a leading international research center for neutron science. He serves as the instrument responsible for PANTHER , a neutron spectrometer dedicated to quasi-elastic and inelastic scattering studies. His expertise spans neutron spectroscopy, materials characterization, and condensed matter physics. Contact details: Email: koza@ill.fr Phone: +33 (0)4 76 20 73 96 Location: ILL Building 17, Ground Floor, Office 09 His research focuses on neutron scattering techniques to investigate dynamics in soft matter, solid-state systems, and quantum materials. A full list of his scientific publications is available through ILL's publication database .

• Spectroscopy
• Neutron Scattering
• Condensed Matter Physics
• +۳ مورد دیگر

Claudiane Ouellet-Plamondon is a Full Professor in the Department of Construction Engineering at École de technologie supérieure (ÉTS), where she holds the Canada Research Chair on Sustainable Multifunctional Construction Materials. She directs research at the Pavements and Bituminous Materials Laboratory (LCMB) and collaborates with the Interdisciplinary Research Centre for Sustainable Development (CIRODD) and Water Engineering Laboratory (LGEPE). Her credentials include a Ph.D. from the University of Cambridge and postdoctoral training at ETH Zurich. Her research encompasses: Sustainable Materials: Geopolymers from industrial waste, bio-based composites, functionalized clays. Advanced Manufacturing: AI-optimized 3D concrete printing, robotic fabrication. Circular Economy: Valorization of bauxite residue, dredged sediments, and agricultural byproducts. Environmental Impact: Life cycle assessment, urban ecological footprint modeling, decarbonization strategies. She has received significant recognition, including the Mercator Fellowship (2024), France-Quebec Science Ambassadorship (2022), and Royal Society of Chemistry Award (2023). Her work integrates computational methods like neural networks for material design and machine learning for construction automation. Professor Ouellet-Plamondon supervises a large cohort of graduate students working on projects ranging from self-sensing alkali-activated materials to mycelium-based insulation. She maintains robust industry partnerships, particularly in aluminum recycling and sustainable infrastructure, and teaches courses on materials science and specialized engineering topics.

• Sustainable Development
• Circular Economy
• Innovative Materials
• +۶ مورد دیگر

Elmira Moosavi is a Professor in the Department of Mechanical Engineering at École de technologie supérieure (ÉTS). Her office is located at A-2968, and she can be contacted via email at elmira.moosavi@etsmtl.ca. Educational background: B.Sc. - University of Tehran, Iran M.Eng - McGill University Ph.D. - McGill University Research expertise spans two primary domains with industrial applications: Sustainable Development & Environmental Innovation : Circular economy solutions, metallurgical emissions control, and carbon capture using industrial waste Advanced Materials & Manufacturing : High-temperature process optimization, metal recycling, alloy design, and microstructural characterization using experimental and modeling approaches She leads the LIPPS laboratory, focusing on multidisciplinary research integrating mechanical, software, and industrial engineering for manufacturing optimization. Current projects include refractory lifetime enhancement in steelmaking, thermodynamic database development for metallurgical systems, and microwave-assisted critical metal recovery. Professor Moosavi actively supervises 17 graduate students working on applied research in metallurgy, recycling, emissions control, and sustainable material design.

• Sustainable Development
• Circular Economy
• Environmental Issues
• +۷ مورد دیگر

Michelle Scott is a Full Professor in the Department of Biochemistry and Functional Genomics at the University of Sherbrooke's Faculty of Medicine and Health Sciences, with a concurrent appointment in the Computer Science Department. Her academic trajectory shows progressive advancement from Assistant Professor (2011) to Associate Professor (2016), culminating in her current Professorship (2021). She directs an active research program focused on non-coding RNA biology, particularly small nucleolar RNAs (snoRNAs), with emphasis on their roles in ovarian cancer and transcriptomic regulation. Her research interests center on bioinformatic characterization of RNA networks , development of computational tools for RNA-seq analysis (including CoCo and snoDB), and molecular mechanisms of snoRNAs in cancer . Recent work employs low-structure-bias sequencing (TGIRT-seq) to overcome technical limitations in transcriptome analysis, revealing previously undetected non-coding RNAs and non-canonical snoRNA functions. Her group investigates snoRNA roles in alternative splicing regulation, cancer progression (particularly high-grade serous ovarian carcinoma), and nucleolar biology. The 15 most recent publications demonstrate strong focus on methodological innovation in transcriptomics (6 articles), snoRNA functional characterization (5 articles), and cancer genomics applications (4 articles). Key trends include addressing RNA-seq reproducibility issues, developing computational frameworks for multi-mapped read resolution, and expanding the functional landscape of snoRNAs beyond canonical roles. FRQS Senior Researcher Fellowship (2025) RECMUS Award for Supervision Excellence (2021) Tremplin Award for Early-Career Research (2021) Multiple FRQS Junior Fellowships (2017, 2021) Dean's List for Exceptional Performance (2015-2021) Scott has successfully mentored numerous graduate students (including 15 first-author publications by trainees) and secured substantial competitive funding, including a $$1\text{,}525\text{,}000$$ CIHR Project Grant (2021-2026) on proteogenomics approaches to define the human proteome. Her laboratory maintains strong affiliations with the CHUS Research Center and actively participates in the RiboClub network, which she has organized since 2014. Current work focuses on characterizing nucleolar snoRNAs in ovarian cancer and improving transcriptomic annotation frameworks.

• Bioinformatics
• Genomics
• Non-coding RNA Research
• +۴ مورد دیگر

Dr. Omid Isfahani Alamdari serves as Assistant Professor in the Master of Data Analytics program at the University of Niagara Falls Canada, bringing expertise in mobility data analytics and big data systems developed through international research experience. Education PhD in Computer Science, University of Pisa, Italy MSc in Computer Engineering - Software (Distributed Systems), Iran University of Science and Technology BSc in Computer Engineering - Software, Urmia University, Iran Research Focus His research centers on developing efficient trajectory analysis methods and advanced indexing techniques for massive mobility datasets. Key applications include sustainable transportation solutions (electric vehicle adoption, carpooling optimization) and explainable event prediction systems combining historical patterns with real-time data streams. He actively explores generative AI applications for mobility challenges and time series analysis. Publication Trends Publications from 2018-2023 reveal consistent contributions to transportation analytics, with dominant themes in trajectory processing (40%), sustainable mobility (30%), and prediction systems (30%). His work appears in top transportation venues (IEEE Transactions on ITS) and data science conferences (IEEE BigData, SIGSPATIAL), featuring strong international collaboration patterns. Academic Activities Teaching: Agile Software Development, Python for Data Analytics, SQL Databases, and Data Analytics Case Studies Research: Currently leads EU-inspired projects on sustainable mobility and event prediction Specialization: Trajectory analysis, spatio-temporal indexing, EV simulation, graph embedding

• Mobility Data Analytics
• Big Data
• Machine Learning
• +۸ مورد دیگر