Contact
Biography
Daniel is a Computer Scientist and Engineer from Málaga, Spain. While pursuing an MSc in Computer Science and Engineering at the University of Malaga, he worked as a research assistant in IoT, Cloud and Edge Computing, Distributed Deep Neural Networks, Computer Vision, and Structural Health Monitoring. He then studied for an MSc in Neuroscience at the University of Salamanca, focusing on the cognitive aspects of the brain and working on the processing of auditory neuron signals. After this rewarding experience, he worked as a software engineer, NLP researcher in private companies, and a data analyst and engineer at VICOMTECH for Horizon and national healthcare, big data, private data, and synthetic data-related projects. He is currently pursuing his PhD in Computer Science at the University of Nottingham, supervised by Ayşe Küçükyilmaz and Deborah Serrien. He is focused on human-computer interaction with haptic devices for motor learning and rehabilitation scenarios.
Teaching Summary
Daniel is currently doing teaching support in the following modules:
- COMP2005 (Introduction to Image Processing)
- COMP4036 (Mixed Reality Technologies)
- COMP4124 (Big Data Learning and Technologies)
Research Summary
His research focuses on human-computer interaction with haptic devices for motor skill learning and rehabilitation. The primary question is whether or not haptic devices benefit the learning process… read more
Selected Publications
Current Research
His research focuses on human-computer interaction with haptic devices for motor skill learning and rehabilitation. The primary question is whether or not haptic devices benefit the learning process of new or already-learned motor skills while investigating the possibilities of designing an adaptable system that supports the learning process for each user in different conditions.
Past Research
Daniel's past research focused on using Deep Neural Networks for IoT and Cloud, Edge and Fog computing scenarios where computational resources and bandwidth limits must be considered in the system design. This is especially important when working in real-time use cases and using computer vision algorithms.