Director of the AMI-Lab
Dr. Bessam Abdulrazak
Full Professor, Department of Computer Science, Université de Sherbrooke
His research focuses on the personalization of adaptive computing systems, ambient intelligence, and the Internet of Things (IoT), with a particular focus on assistive technologies for older and frail adults.
Principal Researchers
Dr. Rachid Hedjam
Assistant Professor, Department of Computer Science, Bishop’s University
His research lies at the intersection of artificial intelligence, computer vision, and data science. He specializes in machine learning and deep learning techniques for textured image analysis, change detection in remote sensing, and more recently, the application of Graph Neural Networks (GNNs) for Alzheimer’s disease detection.
Dr. Yasir Malik
Assistant Professor, Department of Computer Science, Bishop’s University
His research focuses on cybersecurity, with a particular emphasis on software vulnerability, which he identifies as the main source of cyberattacks. Facing a shortage of trained professionals in Canada, his work aims to fill this gap by developing advanced training programs for the next generation of cybersecurity experts. He leads the initiative to make Bishop’s University the first institution in Quebec to offer such training, relying on collaborations with government and industry.
Associate Researchers
Dr. Véronique Provencher
Professor, Faculty of Medicine and Health Sciences, Université de Sherbrooke
Her research program aims to support healthcare professionals in analyzing and managing the risks (e.g., falls, poisoning, isolation) faced by certain older adults (with frailty, dementia), particularly during their transition from the hospital back to their living environment.
Dr. Hamdi Aloulou
Assistant Professor, Departement of Computer Science, University of Monastir (Tunisia)
His research focuses on the Internet of Things (IoT) and context-awareness, applied to the development of smart spaces for public health, aging, and well-being. More recently, he has been focusing on behavior change and persuasion strategies to promote physical activity and a healthy lifestyle among older adults.
Dr. Alexandros Tzanetos
Assistant Professor, Departement of Computer Science, Jönköping University (Sweden)
His main research interests are Evolutionary Computation and Operational Research, with applications in real-world optimization problems. His research focuses on developing intelligent algorithms to solve multi-objective and large-scale optimization applications in fields such as transportation, project management, and energy supply. He also studies theoretical aspects of Evolutionary Computation, such as the exploration-exploitation trade-off, mechanism adaptation, and parameter tuning.
Active Collaborators
Dr. Mounir Mokhtari
Full Professor, Institut Mines-Télécom (France)
His research is centered on human-machine interaction within the field of Ambient Assisted Living (AAL). His expertise covers the development of technological solutions to improve quality of life, particularly for older adults, leveraging semantic reasoning and the Internet of Things. As the founder of the ICOST conference and holder of the Chair on Quality of Life, he is a recognized leader in transforming innovations into practical applications for successful aging.
Dr. Abdellatif El Afia
Full Professor, Department of Computer Science and Decision Support, Mohammed V University (Morocco)
His research focuses on the intersection of Operational Research and Artificial Intelligence. He develops and optimizes learning algorithms (supervised, statistical, and reinforcement learning) and metaheuristics to solve complex mathematical programming problems, both deterministic and stochastic. His work also includes the theoretical performance analysis of optimization and learning algorithms.
Dr. Guillaume Blanchet
Associate Professor, Department of Mathematics, Université de Sherbrooke
He is interested in the development of statistical methods and mathematical models specifically designed to address questions in biology.
Dr. Amine Trabelsi
Assistant Professor, Department of Computer Science, Université de Sherbrooke
His research falls within the fields of Artificial Intelligence, Applied Machine Learning, Data Mining, and Natural Language Processing (NLP). His work specifically focuses on the unsupervised automatic analysis and summarization of viewpoints in unstructured text, stance and dubious content detection from social media, as well as emotion recognition and generation in conversational text.