His research interests are in model reduction techniques, systems and control theory, machine learning, model predictive control, data assimilation, deep learning, polynomial optimization, system identification, and analysis and design of intelligent control systems.

PhD research: THE APPLICATION OF PROPER ORTHOGONAL DECOMPOSITION TO THE CONTROL OF TUBULAR REACTORS

Oscar Mauricio Agudelo is currently a project coordinator on systems and control at the Department of Electrical Engineering (ESAT) of KU Leuven, Belgium.

He received the B.S. degree in electronics engineering from Universidad Autónoma de Occidente,  Colombia, in 1997, the M.S. degree in industrial control engineering from Universidad de Ibagué (in cooperation with KU Leuven and Universiteit Gent), Colombia, in 2004, and the Ph.D. degree in electrical engineering from KU Leuven, Belgium, in 2009. From 1997 till 2004, he worked at Universidad Autónoma de Occidente as a full time professor of control and automation. After his Ph.D. he held a postdoctoral position and later on a research manager position in the research group STADIUS at the Department of Electrical Engineering of KU Leuven, where he was involved in several projects with industry and other research institutions.”