Collaborators
Rachid Hedjam
Rachid Hedjam, PhD, Eng
Professor of Computer Science, Bishop’s University, Sherbrooke, Québec, Canada.
Rachid is an expert in artificial intelligence, deep learning, machine learning, computer vision, and pattern recognition, with a strong publication record in areas such as historical document analysis, biomedical imaging, image quality assessment, and intelligent systems. His work bridges theory and applied research, ranging from advanced clustering methods for cancer data to deep learning–based solutions for cybersecurity and medical imaging.
He actively supervises graduate students and welcomes motivated MSc and PhD candidates, as well as postdoctoral fellows, to join his lab and contribute to cutting-edge projects at the intersection of AI and real-world applications.
Danilo Fernandes da Silva
Danilo Fernandes da Silva, PhD
Associate Professor of Sports Studies, Bishop’s University, Sherbrooke, Québec, Canada.
ResearchGate
Danilo is an expert in applied exercise physiology, with a research focus on exercise prescription and training monitoring through physiological and perceptual markers, particularly in female populations. His work spans heart rate variability–guided training, pregnancy and women’s health, and the optimization of endurance performance and recovery.
He has extensive teaching experience in Brazil and Canada and has contributed to major projects such as SmartMoms Canada and research on sex-specific disparities in musculoskeletal health and military readiness. Danilo actively supervises students and welcomes those interested in exploring innovative approaches to exercise, health, and performance.
Yasir Malik
Yasir Malik, PhD
Associate Professor of Computer Science, Bishop’s University, Sherbrooke, Québec, Canada.
Yasir is a researcher in cybersecurity and machine learning with a strong publication record in software security, malware detection, and cyberattack prevention. His work addresses vulnerabilities in software systems, ransomware and denial-of-service attack detection, and the application of deep learning to improve resilience against emerging threats.
He is establishing the first hands-on cybersecurity lab in Québec, designed to train the next generation of experts in software and network security. His research program is supported by collaborations with industry and government partners and is aimed at developing scalable models and protocols to meet Canada’s growing need for cybersecurity professionals. Yasir actively supervises graduate students and welcomes motivated candidates to join his lab at Bishop’s.
Maxim Descoteaux
Maxime Descoteaux, PhD
Professor of Computer Science, Université de Sherbrooke, Sherbrooke, Québec, Canada.
Maxime is an expert in medical image analysis, computational neuroscience, and diffusion MRI. His research develops advanced methods for tractography, brain connectivity mapping, and multimodal neuroimaging, with broad applications in both academia and healthcare.
As founder of the Sherbrooke Connectivity Imaging Lab (SCIL), he leads an interdisciplinary team pushing the state of the art in brain mapping, from diffusion modeling to large-scale connectome analysis. His work impacts neurosurgical planning, clinical diagnostics, and our understanding of brain structure and function.
He supervises graduate students and postdoctoral fellows, welcoming motivated candidates to join his lab and advance projects in medical imaging, neuroscience, and computational science.
Samantha Cote
Samantha Côté, PhD
Assistant Professor of Psychology, Bishop’s University, Sherbrooke, Québec, Canada.
Adjunct Professor, Université de Sherbrooke.
Samantha is a neuroscientist specializing in brain imaging, clinical trials, and the neurovascular and neurophysiological effects of hormones and therapeutic agents. Her research integrates advanced MRI, MRS, and TMS methods to study cerebrovascular health, sex hormone influences on the brain, and novel treatments for neurodevelopmental and neuropsychiatric conditions such as Fragile X syndrome and Trisomy 21.
She has led and managed multi-site clinical research projects, developed standardized imaging protocols, and secured competitive funding. Samantha actively mentors students and trainees, welcoming those interested in neuroimaging, brain health, and translational neuroscience at the intersection of physiology and clinical research.
Samuel Deslauriers-Gauthier
Samuel Deslauriers-Gauthier, PhD
Researcher, Inria, France
Samuel is a researcher in medical image analysis and computational neuroscience, with expertise in diffusion MRI, tractography, and multimodal brain mapping. His work advances structural connectomics, deep learning methods for diffusion signal representation, and myoelectric digital twins for neuroengineering applications. He has contributed to several international challenges and high-impact publications on the accuracy, reliability, and reproducibility of brain connectivity mapping.
His research spans signal processing, geometric deep learning, and neuroimaging, with applications ranging from fundamental neuroscience to clinical translation. Samuel actively collaborates with interdisciplinary teams and welcomes students and researchers interested in brain imaging, computational models, and the development of next-generation tools for connectomics.