Firuz Kamalov

Dr. Firuz Kamalov is a Professor of Mathematics at the Canadian University Dubai within the School of Engineering, Applied Science and Technology. He received his PhD in Mathematics from the University of Nebraska-Lincoln in 2011 as an Othmer Fellow and earned his BA at Macalester College as a DeWitt Wallace Scholar.

• Research Focus: Machine Learning, Functional Analysis, Applied Mathematics, Statistical Learning, Time Series Forecasting
• Editorial Roles: Managing Editor of the Gulf Journal of Mathematics, Associate Editor of the Journal of Intelligent and Fuzzy Systems, Guest Editor for multiple journals
• Grants: Multiple research grants exceeding USD 1 million

Dr. Kamalov's research explores machine learning methodologies, particularly addressing challenges in imbalanced data, feature selection, and time series forecasting. His work bridges mathematical theory and practical applications in finance, cybersecurity, and energy economics.

Recent publications demonstrate expertise in deep learning regularization, feature similarity measures, intrusion detection, and stock price prediction. His contributions focus on improving algorithm robustness and predictive accuracy in high-dimensional, imbalanced datasets.

Scientific Honors:

• Othmer Fellow
• DeWitt Wallace Scholar