León A. Escobar-Moreira

Escobar JPEG   León A. Escobar-Moreira E.E.
Senior member IEEE
Electronics, Controls & Automation Engineer
Maryland, USA

Email Icon leonescobarm [at] ieee.org
Telephone Icon +1 301.305.2064

Professional Biography

León Escobar-Moreira is an industry automation engineer and Research Affiliate with the Norbert Wiener Center of Harmonic Analysis and Applications at the University of Maryland College Park. He received his Electronics Engineer degree at the Army Polytechnic School (ESPE) in Quito, Ecuador. He also holds a Masters degree in Mathematics Applied to Industrial Technology from University of Maryland at College Park and trained at Massachusetts Institute of Technology, where he obtained a certificate in Motors & VFD design.

Mr. Escobar has performed important projects for the private and government sectors in the fields of remote sensing, industrial automation and process control. He was also a professor of Controls Theory, Solid State Electronics, and PC Interfaces at the Electronics Engineering Department of the Army Polytechnic School in Quito, Ecuador and a lecturer of Fuzzy Logic, Neural Networks, Artificial Intelligence, and Industrial SCADA systems at the Robotics/AI Department of the Salesian Polytechnic University in Quito, Ecuador. He has published papers, tutorials, and technical reports in the fields of applied harmonic analysis, electrical machines, and signal processing, among others, which were presented in refereed journals and conference proceedings.

Mr. Escobar is the founding Vice-Chair of the IEEE-RAS Washington DC and Northern Virginia Chapter and received the 2010 IEEE-RAS Chapter of Year Award. He has been invited to serve as a judge in robotics competitions, peer review publications in the fields of electrical machines, remote sensing applications, robotics, electromagnetic devices and systems, and presided as chair of sessions in various automation, control, and applied math conferences.

Robotics Interest

AI-based process control, human/robot interaction, autonomous vehicle navigation, robotics safety, and applied harmonic analysis in electrical machines and environmental sciences.

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