Daniel Olmeda is currently a senior engineer in the Recognition Technology division of Toyota Motor Europe. In 2014 he received his Ph.D. degree cum laude. This work has been awarded the Outstanding Ph.D. Thesis award by the honorable Chancellor of the UC3M. He received a B.S. degree in Electronics and Automation Engineering from the Universidad Carlos III de Madrid, Madrid, Spain, in 2010 and the M.S. degree in Robotics and Automation from the Universidad Carlos III de Madrid, Madrid, Spain, in 2010. He has been a senior researcher at Treelogic, where he developed computer vision algorithms for people segmentation in crowded scenes and behavior understanding. He has been part of the IDE4L project, an ambitious research venture between Europe's top higher education centers and Electrical Distribution Operators, whose goal is to provide the next generation of smart electrical grids. He is a former member of the Intelligent Systems Lab, within the Department of Systems and Automation Engineering of the Universidad Carlos III de Madrid. His research interests are in computer vision and pattern recognition.
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