MELBOURNE, FLA.—Florida Institute of Technology Associate Professor Marco Carvalho, of the Department of Computer Sciences, has been awarded more than $220,000 through three funded projects since just January 2012.
Carvalho received more than $123,000 from the Department of Defense for the design of advanced computer network systems capable of dynamically changing configuration and structure to deter cyber attacks. He is collaborating on this project with the Florida Institute for Human and Machine Cognition (IHMC).
In addition, Rockwell Collins Inc. awarded him over $65,000 to collaborate on the design of advanced new methods for cognitive networking and electronic warfare.
Carvalho was also awarded over $31,000 for a project funded by the U.S. Air Force Research Laboratory for work that has as its core the design, implementation and testing of new hybrid wireless emulation environments. This project is also in collaboration with the IHMC.
In addition to being a member of the Harris Institute for Information Assurance, Carvalho is affiliated with Florida Tech’s Human Center Design Institute, the IHMC, and is a member of the Center for Applied Optimization at the University of Florida. He is also an associate editor of IEEE Transactions on Systems, Man, and Cybernetics, Part B.
“These are some of the main projects we’re pursuing in the areas of cyber security and Intelligent Information Systems,” said Carvalho, when asked about his recent awards. “We have other related proposals still under review, and hope to continue expanding our research activities in these important areas.”
Carvalho’s research interests are primarily in the areas of cyber security, distributed systems resilience, and intelligent information and communication systems. He earned his bachelor’s and master’s degrees in mechanical engineering at the University of Brasilia, Brazil; a master’s degree in computer science from the University of West Florida; and a doctoral degree in computer science from Tulane University, with specializations in machine learning and data mining.