I am Wilder Lopes, an Electronics Engineer pursuing a Doctorate (Ph.D.) at the Signal Processing Laboratory of The University of São Paulo (USP) in Brazil. My research area is signal processing, focusing on design and application of adaptive filters. My interests include multimedia signal processing, computer vision, artificial intelligence, machine learning, stochastic modeling, applied mathematics, and hardware implementation of algorithms.
In my lab at USP, I have been doing research on adaptive filtering theory since my Master's degree. There we are concerned about design and analysis of new adaptive algorithms and structures, as well as their feasibilty for real-world applications. In the begining of my Doctorate in 2012, I decided it was time to take advantage of my implementation skills (and my boards!) to get all that theory out of the papers. Thus, in parallel to my day-to-day theoretical investigation, I look for performance validation using Matlab, Python, C++, and eventually deploying into hardware (e.g. the BeagleBone Black). My mindset for connecting theory and practice led me to a year-long research stay at the Chair of Media Technology of the TU München in Germany, a group with a strong background in computer vision.
For details and updates about my research topics, visit the Research page. The section Applications provides an overview of the parallel projects I have been working on, as well as programs and codes.
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