Marcos Nieto received the M.S. and Ph.D. degree in electrical engineering from ETSIT of the Universidad Politécnica de Madrid (UPM), Spain, in 2005 and 2010, respectively. From 2005 to 2010 he worked as Researcher within the Grupo de Tratamiento de Imágenes in the UPM, in the field of H.264/AVC video codecs and computer vision applied to advanced driver assistance systems. Since 2010 he works as a Researcher on computer vision and machine learning techniques of the Intelligent Transport Systems and Engineering Area of Vicomtech. His actual research interests include the use of optimization methods for probabilistic models in computer vision.
Vicomtech-ik4 – Donostia, Spain – [2010 – present] – Researcher in computer vision & Project Manager
Universidad Politécnica de Madrid – Madrid, Spain – [2005 – 2010] – Ph.D. candidate & Software Developer
Dr.-Eng. Technologies and Communication Systems (Ph.D) – E.T.S.Ing. Telecomunicación (ETSIT), Universidad Politécnica de Madrid
Electrical Engineer – E.T.S.Ing. Telecomunicación (ETSIT), Universidad Politécnica de Madrid
Author of 9 articles in international journals (JCR indexed) related to computer vision and Intelligent Transport Systems. See the full list in the Publications section.
Active reviewer of several international journals and conferences:
- IEEE Signal Processing Letters
- IEEE Transactions on Fuzzy Systems
- Pattern Recognition Letters
- EURASIP Journal on Image and Video Processing
- SPIE Optical Engineering
- IEEE Intelligent Transport Systems Conference
- IEEE Intelligent Vehicles Symposium
Core technical skills
Languages: C, C++, Latex, Matlab, PHP, SQL, HTML, CSS
Libraries: OpenCV, OpenGL, OpenNI, PCL, Qt, CMake, CUDA, DirectShow.
Computer vision: Bayesian tracking (particle filters, MCMC, MRF), nonlinear optimization (slice sampling, Levenberg-Marquardt), camera calibration, maching learning (BoW, SVM), real-time processing, robust estimation (MSAC).
Spanish: Mother tongue
English: Fluent writing and speaking