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Enrique Mallada is an Associate Professor in the Department of Electrical and Computer Engineering. His research interests encompass control dynamical systems, networked systems, graph theory, mathematical optimization, and machine learning, with applications in engineering science. Mallada directs the Networks, Dynamics, Learning Laboratory (NetDL) and is a core member of the Mathematical Institute for Data Science (MINDS) and the Ralph O’Conner Sustainable Energy Institute (ROSEI). He has worked on projects that improve the efficiency and resilience of electric power grids, including stabilization of voltage collapse, dynamic control of low inertia power systems, and market participation of distributed energy resources. He received his bachelor's degree in telecommunications engineering from Universidad ORT Uruguay in 2005, and a PhD in electrical and computer engineering from Cornell University in 2014. His postdoctoral work was conducted at the California Institute of Technology. Mallada has received numerous honors, including the National Science Foundation CAREER Award and several teaching excellence awards.
Johns Hopkins University • Baltimore, MD
Teaching and conducting research in electrical and computer engineering, focusing on control and optimization of networked systems.
Department of Pathology - PhD in Pathobiology. GRE is not required.