photo António R. C. Paiva
Email: My email


António Paiva received the licenciatura degree in electronics and telecommunications engineering from the University of Aveiro, Portugal in 2003, and the M.S. and Ph.D. degrees in electrical and computer engineering from the University of Florida in 2005 and 2008, respectively.

Between 2003 and 2004 he was as a research assistant at the Institute of Electronics and Telematics Engineering at the University of Aveiro working in image compression. And, from 2008 to 2010, he worked at the SCI Institute at the University of Utah as a post-doctoral fellow on the application of machine learning to image analysis and neural circuit reconstruction. From 2010 to 2015, he was a research specialist with ExxonMobil Upstream Research Company working on analysis of geophysical data. He is currently a research associate at Corporate Strategic Research in the ExxonMobil Research and Engineering Company. He is an Associate Editor for the IEEE Transactions on Neural Networks and Learning Systems and IEEE Signal Processing Letters journals.

His research interests are generally in the areas of machine learning, pattern recognition, and adaptive signal processing. And, more specifically, in kernel methods, information theoretic learning, and fast algorithms for machine learning.