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Adel Mohammadpour is an Adjunct Assistant Professor at the University of Calgary with a robust academic background in Statistics. He earned his Bachelor’s, Master’s, and PhD degrees from Shiraz University, followed by a Postdoctoral position at CentraleSupélec, affiliated with CNRS at Université Paris-Saclay, where he focused on the Laboratoire des signaux et systèmes (L2S). His research interests are diverse and include Research Evaluation, Machine Learning models, and Statistical learning tailored to heavy-tailed data. His work has significant implications in environmental, biomedical, and industrial applications. In academia, he teaches various statistics courses and engages in projects involving model evaluation processes and accurate classification algorithm assessments, with a particular focus on model validation using the Bayes error rate.
University of Calgary • Calgary
Teaching statistical methodologies and conducting research in statistical learning and model evaluation.
Department of Computer Science Master's program. GRE scores are expected for international students.