(See Linkedin for an updated version)
Dr. Marcos Nieto received the Ph.D. degree in electrical engineering from Universidad Politécnica de Madrid (UPM), Spain, in 2010. He then Joined the Intelligent Transport Systems and Engineering Area of Vicomtech (San Sebastian, Spain), where is Principal Researcher since 2014. His current research interests include the use of semantic metadata languages, multi-sensor calibration and projection, and large-scale computation. He has been technical and scientific coordinator of FP7 and H2020 projects, specialized in ADAS and Automated Driving, and is author of more than 60 peer reviewed international publications in relevant conferences (+40) and journals (+20), also being active reviewer of prestigious journals. Awarded by the Basque Government as one of the twenty-one most relevant applied researchers of the Red Vasca de Ciencia, Tecnología e Innovación (RVCTi) in 2018
Vicomtech – Donostia, Spain – [2010 – present] – Principal 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