Dr. Catia Silva is joined the Department of Electrical & Computer Engineering at the University of Florida as a Lecturer in July 2019. Dr. Silva’s research interests are in machine learning, signal processing, pattern recognition, computational neuroscience and cognitive science. In 2007, Dr. Silva earned her B.S. degree in Mathematics from the University of Porto. She soon started developing interest in developing mathematical foundations for applied sciences. In 2012, Dr. Silva graduated with her M.S. degree in Biomedical Engineering from the University of Porto where she developed a computer-based diagnosis system to automatically classify dermoscopic images. While pursuing her M.S. degree, Dr. Silva started her research work at the Institute for Systems and Computer Engineering, Technology and Science (INESC TEC). At INESC TEC, she joined the Power Systems unit where she developed machine learning tools for solar and wind power forecast. In 2013, she received a fellowship award from FCT (Fundacao para a Ciencia e Tecnologia) to pursue her Ph.D. at the University of Florida. In 2018, Dr. Silva earned her Ph.D. in Electrical & Computer Engineering. She worked with signal processing, information theory, and machine learning to process, analyse and quantify spatiotemporal information of EEG tracings from human recordings. Dr. Silva has a good track of teaching experience in both undergraduate and graduate courses (refer to the teaching page).
Research interests include machine learning, statistical signal processing, pattern recognition, data science applications in computational neuroscience and education.