Our main research interests are within the areas of machine learning, artificial intelligence, robotics, biomedical engineering, sensor informatics, and neuroinformatics.
You will find below a few explanatory videos regarding some of our recent research.
NeuroErgonomics: Brain activity modelling with surgeons at work.
J. Andreu, D. Leff, K. Shetty, A. Darzi, G-Z. Yang, “Disparity in Frontal Lobe Connectivity on a Complex Bimanual Motor Task Aids Classification of Operator Expertise”, Brain Connectivity, 2016.
Brain-Machine Interfaces: Navigating a humanoid robot using kinesthetic motor imagery.
J. Andreu, F. Cao, H. Hagras, G-Z. Yang, “A Self-Adaptive Online Autonomous Learning for the Brain Machine Interface of a Humanoid Robot Through a General Type-2 Fuzzy System”, IEEE Fuzzy Systems, 2016.
Research work during my time as a researcher of the intelligent systems group at Lancaster University (Top 10 UK University).
INDOORS and OUTDOORS Autonomous robot navigation and leader follower in an unknown environment (without pre-loaded maps).
P. Sadeghi-Tehran, J. Andreu, P. Angelov, “Intelligent Leader-Follower Behaviour for Unmanned Ground-based Vehicles”, Journal of Automation, Mobile Robotics and Intelligent Systems (JAMRIS), 2011
P. Sadeghi-Tehran, S. Behera, P. Angelov, J. Andreu. “Autonomous visual self-localization in completely unknown environment.” Proceedings of IEEE EAIS conference, 2012
Autonomous visual novelty detection implemented in a mobile phone camera
P. Angelov, J. Andreu, T. Vong, “Automatic Mobile Photographer and Picture Diary”, IEEE Conference on Evolving and Adaptive Intelligent Systems, 2012
Adaptive quantization and unsupervised recognition of activities with on-body sensor data.
J. Andreu, R. D. Baruah, P. Angelov (2011). Real time recognition of human activities from wearable sensors by evolving classifiers. IEEE International Conference on Fuzzy Systems. 2011
J. Andreu, P. Angelov. “Real-time human activity recognition from wireless sensors using evolving fuzzy systems.” IEEE International Conference on Fuzzy Systems (FUZZ). 2010.