David Masip

Computer Science

Universitat Oberta de Catalunya

David Masip

Short Bio

David Masip is professor in the Computer Science Multimedia and Telecomunications Dept, Universitat Oberta de Catalunya since February 2007, and since 2015 the director of the UOC Doctoral School . He is the director of the SUNAI (Scene Understanding and Artificial Intelligence) research group. He is member of the BCN Perceptual Computing Lab. He studied Computer Science in the Universitat Autonoma de Barcelona, obtaining a FPI grant in 2001 for starting his PhD degree in the Computer Vision Center (Spain). He obtained the PhD degree in September 2005. He obtained the best Thesis award on Computer Science in the Universitat Autònoma de Barcelona. Previously, he worked as assistant professor in the Applied Mathematics Department, Universitat de Barcelona, where he was enrolled in the Volume Visualization and Artificial Intelligence group. David Masip was a PhD student of Jordi Vitrià in the Computer Vision Center (CVC), Barcelona, Spain. David has co-advised the thesis of Àgata Lapedriza García and Mario Rojas Quiñones.

Research Interests

One of the most exciting research areas in science is the study of the cognitive and intelligent process occurring in the brain, and its reproducibility in the machine. The reverse engineering of the human brain could produce intelligent software components that understand the world, and perform many tasks as humans currently do. Recent breakthroughs in Computer Vision show that many pattern recognition tasks are close to be solved with accuracies unpredictable a few years ago. Nevertheless, the vast majority of human capabilities are still far from being matched. I am interested in designing systems capable of reproduce complex intelligent behavior, and use these algorithms to improve other areas of science. Particularly, my research projects are related to:

- Facial Expression Analysis and Face Recognition.

- Computer Vision and Object Recognition.

- Deep Learning Algorithms

- Cognitive neuroscience and Vision Research.

- Classifier Ensembles.

- Multiclass Classification Problems.


Long-term Video Tracking of Cohoused Aquatic Animals: A Case Study of the Daily Locomotor Activity of the Norway Lobster (Nephrops norvegicus)

1Universitat Oberta de Catalunya, 2Institute of Marine Sciences, Spanish National Research Council (CSIC), 3Institute for Environmental Protection and Research (ISPRA), 4Department of Biology and Ecology of Fishes, Leibniz-Institute of Freshwater Ecology and Inland Fisheries

JoVE 58515