Biography
Assistant Professor
BSc (Hons), MMath, PhD (Universidad de la Habana)
Dr. Bolufe-Rohler works on heuristic optimization and machine learning. Currently, his main research focuses on understanding and formalizing (meta)heuristic optimization. The short-term goal is to develop state of the art optimization algorithms and to apply them to diverse fields such as bioinformatics, economics or augmented reality. The long-term goal is to use insights from heuristic optimization to improve the core techniques of machine learning methods.
Recent Publications
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Characteristics of Canadian Veterans reimbursed for cannabis for medical purposes
- Journal of Military, Veteran and Family Health, 2022
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Glioma segmentation of optimized 3D U-net and prediction of multi-modal survival time
- Neural Computing and Applications, 2021
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Machine learning based metaheuristic hybrids for S-box optimization
- Journal of Ambient Intelligence and Humanized Computing, 2020
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Multi-objective optimization approach based on Minimum Population Search algorithm
- GECONTEC, 2019
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Algoritmos heurísticos para la solución del problema lineal con restricciones de equilibrio (Heuristic algorithms for solving linear problems with equilibrium constraints)
- GECONTEC: Revista Internacional de Gestión del Conocimiento y la Tecnología, 2016
Research Classification
- no classification
Current Scholars in Mathematical and Computational Sciences
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