Research Output per year
Research Output per year
Personal profile
Area of academic expertise - outline
Signal/Image Processing and Analysis, Medical Imaging, Biomedical Engineering, Statistical Signal and Image Modelling, Pattern Recognition/Machine Learning, Connected Health, Telecommunications, UAVs
Current research activities
- Analysis of audio signals for continuous monitoring of respiratory patients using smartphones
- Automatic detection, recognition and identification of small objects in thermal imaging
- Flood monitoring and prevention using hyperspectral imaging and UAVs
Desired research direction
My research pursues solving different problems using applied signal or image processing and machine learning. Apart from pushing the boundaries of those disciplines, I have always worked on the applied side to achieve tangible products at upper technology readiness levels. This has helped to secure industry funding from industry (e.g., Thales UK) and to develop further studies using the developed technology in the biomedical engineering area. I am currently focused on the development use of smartphones and UAVs for different applications, including healthcare monitoring, prevention of natural disasters, and environmental awareness.
Target collaborative companies
Electronics industry, healthcare technology companies, NHS and government institutions.
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Research Output
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A new flower pollination algorithm for equalization in synchronous DS/CDMA multiuser communication systems
San-Jose-Revuelta, L. M. & Casaseca-de-la-Higuera, P., 1 Feb 2020, In : Soft Computing. 24, p. 13069-13083 15 p.Research output: Contribution to journal › Article › peer-review
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Objective ADHD diagnosis using convolutional neural networks over daily-life activity records
Amado-Caballero, P., Casaseca-de-la-Higuera, P., Alberola-Lopez, S., Andres-de-Llano, J. M., Lopez-Villalobos, J. A., Garmendia-Leiza, J. R. & Alberola-Lopez, C., 30 Sep 2020, In : IEEE Journal of Biomedical and Health Informatics. 24, 9, p. 2690-2700 11 p.Research output: Contribution to journal › Article › peer-review
Open AccessFile -
Smartphone-based object recognition with embedded machine learning intelligence for unmanned aerial vehicles
Martinez-Alpiste, I., Casaseca-de-la-Higuera, P., Alcaraz-Calero, J. M., Grecos, C. & Wang, Q., 30 Apr 2020, In : Journal of Field Robotics . 37, 3, p. 404-420 17 p.Research output: Contribution to journal › Article › peer-review
Open AccessFile -
A machine hearing system for robust cough detection based on a high-level representation of band-specific audio features
Monge-Álvarez, J., Hoyos Barceló, C., San-José-Revuelta, L. M. & Casaseca-de-la-Higuera, P., 31 Aug 2019, In : IEEE Transactions on Biomedical Engineering. 66, 8, p. 2319-2330 12 p.Research output: Contribution to journal › Article › peer-review
Open AccessFile2 Citations (Scopus)227 Downloads (Pure) -
Benchmarking machine-learning-based object detection on a UAV and mobile platform
Martinez-Alpiste, I., Casaseca-de-la-Higuera, P., Alcaraz-Calero, J. M., Grecos, C. & Wang, Q., 30 Apr 2019, 2019 IEEE Wireless Communications and Networking Conference (WCNC). IEEE, 6 p. (IEEE Proceedings).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
Open AccessFile1 Citation (Scopus)113 Downloads (Pure)