Teaching
Current Phd students:
- Sergiu-Ovidiu Oprea (Predictive Learning & sim2real GANs)
- John Alejandro Castro Vargas (Hand Pose estimation with DL)
- Pablo Martínez (Active Learning-based objects pose estimation)
- Miguel Esteve (Video Segmentation and annotation using Deep Learning)
- Luis Lucas (Deep Learning using Multisource Data)
- Byron Guerrero (Machine Learning with IoT)
- Sergio Orts (Computer Vision - Deep Learning, High Performance Computing) (Artificial Intelligence Dpt - University of Alicante/Google)
- Vicente Morell (3D Robotics) (Robotics Group - University of Alicante)
- Gaspar Cano (Neural Netowrks applied to Cheminstry - GPU acceleration) (with Orizon)
- Jose Antonio Serra (Computer Vision - 3D Gesture Recognition) (with PingValue)
- Javier Montoyo (with Artifcial Intelligence Department (UA))
- Jaime Oswaldo Salvador Meneses (Machine Learning, Data compresssion, High Performance Computing) (UCE - Ecuador)
- Zoila Lourdes Ruiz Chavez (Machine Learning, data imputation) (UCE - Ecuador)
- Alberto Garcia-Garcia (Deep Learning for 3D Perception) (Facebook Reality Labs)
- Mauricio Zamora (DL-based visual monitoring Manufacturing processes) (University of Costa Rica)
- Henry Duque (Intelligent IoT architectures)
- Manuel Benavent (Deep Learning for HCI & Behaviour analysis"
- Ivan Sanmartin(Deep Learning for scene understanding and interaction)
- David Mulero (VR grasping)
- César Molto (Synthetic data generation for DL behaviour recognition)
- Sid-Ali Tobdgi (DL-based captioning)
- Albert Garcia Garcia (Computer Vision with GPUs)
- Sergiu Ovidiu (HCI)
- Alex Jover (Multidevice Apps)
- Gala García and Sergio Castro (Monitoring Patients with wearable devices)
- Javier Galvez (Monitoring Patients with wearable devices)
- Juan Alcaraz (Deep Learning/Computer Vision based molecules similarity matching on GPUs)
- John Alejandro Castro (3D Multisensor system)
- Javier Ortega (3D Multisensor system)
- Javier Abellan (Action Segmentation in Videos)
- Adrian Herrera (Virtual Reality )
- Ivan Rodriguez (GPU clusters for DL)
- Javier Erro (Big Data to solve UNESCO challenges)
- David Ivorra (Behaviours Segmentation)
- Mario Requena (Computer Vision on GPU )
- Ivan Rodriguez and Andres Carpena(GPU clusters for DL)
- Carlos Araujo (Cyberphisycal systems with DL)
- Andres Carpena (Deep Reinforcement Learning applied to grasping)
- Adrian Frances(Artificial Intelligence for Video Games with Deep Reinforcement Learning)
- Pablo Lopez (3D Reconstruction and Semantic Segmentation in Mixed Reality with HTC Vive Pro)
- Placido Lopez (Recognizing and Segmenting Behaviors in Deep Learning Videos)
- Alvaro Jover (Deep Learning with Photorealistic Synthetic Data for Semantic Segmentation)
- Carlos Perello (Deep Learning Applied on Multilingual Detection of Hate Speech Against Immigrants and Women in Twitter)
- Jordi Amoros (Deep Learning applied to autonomous driving)
- Alexei Jilinskiy (Virtual grasping)
- Daniel Allhoff (Deep Learning Human behaviour understanding)
- Alvaro Molina (Artificial Intelligence for Video Games with Deep Reinforcement Learning)
- Francisco Parrilla (Monitoring Patients with wearable devices)
- Master Projects (Computer Science/Multimedia Grade and Information Technologies Master)
- Infrastructures and Technologies for Big Data (Master in Data Science)
- Multimedia infrastructures and devices (Multimedia Engineering)
- Operating systems (Multimedia Engineering) - Coordinator
- Operating systems II (Computer Science) - Coordinator
- Biometrics (Informatics Technology Master)
- Intelligent Interfaces (Informatics Technology Master)
- Computer architecture (Computer Science Management branch) - Coordinator
- Fault tolerant systems (Computer Science) - Coordinator
- Informatics for lawyers - Degree in Law (1999-2003) - Coordinator
- Mantenaince engineer - (Computer Science) (1999-2002)
- Operating systems design - II (2001-2003) - Coordinator
- Computer structure - (Computer Science Systems branch) (2003) - Coordinator
- Internet Programming (Sócrates/Erasmus) - Coordinator