Mr Omar Costilla Reyes


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Omar Costilla Reyes received the M.Sc. degree in Electrical Engineering from the University of North Texas, Texas, U.S.A. in 2014. During his master studies, he was a research assistant in projects with the National Science Foundation (NSF) and National Aeronautics and Space Administration (NASA). His M.Sc. dissertation was on dynamic indoor positioning systems using wireless sensor networks and machine learning. He is currently a PhD candidate in Electrical and Electronics Engineering at the University of Manchester, U.K. He has published papers on deep machine learning for gait analysis in security and healthcare. He received the Best Student Paper Award in Optical Sensing applications at the 2015 IEEE Sensors Conference. He has been recognized by the IEEE for his paper “Deep Neural Networks for Learning Spatio-Temporal Features From Tomography Sensors” being the top downloaded paper of the IEEE Transactions on Industrial Electronics in January 2018 and for his paper “Temporal Pattern Recognition in Gait Activities Recorded with a Footprint Imaging Sensor System” being one of the top 25 downloaded papers of the IEEE Sensors Journal between January and May 2017. He has won scholarships and awards for academic achievement including an academic scholarship for his master's and doctorate studies from the Mexican Science council (CONACyT).

Areas of expertise

Biology, Medicine and Health (BMH) Domains

Education / academic qualifications

  • 2014 - Master in Science, Dynamic WIFI fingerprinting indoor positioning system with machine learning, University of North Texas (2012 - 2014)

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