Imperial College London

DrJavierAndreu Perez

Faculty of MedicineDepartment of Surgery & Cancer

Academic Visitor



javier.andreu Website




Huxley BuildingSouth Kensington Campus





Dr. Andreu-Perez is Lecturer in Artificial Intelligence and Machine Learning at the School of Computer Science and Electronic Engineering, University of Essex. He is within the Harms-Lab, led by Dr. George Mylonas at the Department of Surgery and Cancer, Faculty of Medicine.  He holds a PhD in Intelligent Systems, MEng in Computer Science, and MSc in Software Engineering. He has contributed to a number of research projects funded by the EU, NHS, the UK’s Ministry of Defence (MoD), as well as the industry. He is a member of the Standards Committee of the IEEE Society in Computational Intelligence and has co-edited special issues in the area. He also serves as a member of several editorial boards of relevant journals computational intelligence and artificial intelligence. His main research interests are neuroinformatics, artificial intelligence, machine learning, cognitive neuroscience, human-robot interaction, physiological sensing, computational neuroscience, health informatics, sensor informatics.

Selected Publications

Journal Articles

Andreu-Perez J, Garcia-Gancedo L, McKinnell J, et al., 2017, Developing Fine-Grained Actigraphies for Rheumatoid Arthritis Patients from a Single Accelerometer Using Machine Learning, Sensors, Vol:17, ISSN:1424-8220

Andreu Perez J, Cao F, Hagras H, et al., 2016, A self-adaptive online brain machine interface of a humanoid robot through a general type-2 fuzzy inference system, Ieee Transactions on Fuzzy Systems, ISSN:1941-0034

Andreu-Perez J, Leff DR, Shetty K, et al., 2016, Disparity in Frontal Lobe Connectivity on a Complex Bimanual Motor Task Aids in Classification of Operator Skill Level., Brain Connect, Vol:6, Pages:375-388

Andreu-Perez J, Poon CCY, Merrifield RD, et al., 2015, Big Data for Health, Ieee Journal of Biomedical and Health Informatics, Vol:19, ISSN:2168-2194, Pages:1193-1208

Andreu-Perez J, Leff DR, Ip HMD, et al., 2015, From Wearable Sensors to Smart Implants-Toward Pervasive and Personalized Healthcare, IEEE Transactions on Biomedical Engineering, Vol:62, ISSN:0018-9294, Pages:2750-2762

Andréu J, Viúdez J, Holgado JA, 2009, An ambient assisted-living architecture based on wireless sensor networks, Advances in Soft Computing, Vol:51, ISSN:1615-3871, Pages:239-248

Sadeghi-Tehran P, Andreu J, Angelov P, et al., 2011, Intelligent leader follower behaviour for unmanned ground-based vehicles., Journal of Automation, Mobile Robotics and Intelligent Systems, Vol:5, Pages:1-11

Andreu J, Angelov P, 2013, An evolving machine learning method for human activity recognition systems, Journal of Ambient Intelligence and Humanized Computing, Vol:4, ISSN:1868-5137, Pages:195-206

Andreu J, Angelov P, 2013, Towards generic human activity recognition for ubiquitous applications, Journal of Ambient Intelligence and Humanized Computing, Vol:4, ISSN:1868-5137, Pages:155-156


Guang-Zhong Yang, Javier Andreu-Perez, Xiaopeng Hu, et al., 2014, Multi-Sensor Fusion, Body Sensor Networks, Editor(s): Springer, ISBN:978-1-4471-6374-9


Kunal Shetty, Daniel R. Leff, Javier Andreu-Perez, et al., 2014, Long Term Complex Motor Skills Training and Evolution in Small World Topology, Organization for Human Brain Mapping

Mehrin Kiani, Javier Andreu-Perez, Daniel Leff, et al., 2014, Shedding Light on Surgeons' Cognitive Resilience: A Novel Method of Topological Analysis for Brain Networks, The Hamlyn Symposium on Medical Robotics

Andreu J, Baruah RD, Angelov P, 2011, Automatic scene recognition for low-resource devices using evolving classifiers, Pages:2779-2785, ISSN:1098-7584

Angelov P, Andreu J, Vuong T, 2012, Automatic mobile photographer and picture diary, Pages:102-107

Andreu J, Baruah RD, Angelov P, 2011, Real time recognition of human activities from wearable sensors by evolving classifiers, Pages:2786-2793, ISSN:1098-7584

Dutta Baruah R, Angelov P, Andreu J, 2011, Simpl-eClass: Simplified potential-free evolving fuzzy rule-based classifiers, Pages:2249-2254, ISSN:1062-922X

Andreu J, Angelov P, 2010, Real-time human activity recognition from wireless sensors using evolving fuzzy systems

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