Wikipedia

Javier Andreu-Perez

Javier Andreu-Perez is a British computer scientist and a Senior Lecturer[1] and Chair in Smart Health Technologies[2] at the University of Essex. He is also associate editor-in-chief of Neurocomputing for the area of Deep Learning and Machine Learning.[3] Andreu-Perez research is mainly focused on Human-Centered Artificial Intelligence (HCAI).[1] He also chairs a interdisciplinary lab in this area, HCAI-Essex.[4]

Early life and education

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Andreu-Perez was born in Malaga,[1] Spain. During his childhood he spent time living in Essex (United Kingdom), where he later in life joined as an academic, at University of Essex.[1] He received his PhD in Intelligent Systems from Lancaster University (United Kingdom) in 2012.[5] He is also alumni of the Hamlyn Centre[6] at Imperial College London, which is one of the centers that form part of the Institute of Global Health Innovation.[7] The centre focuses on the development of technological innovations for global health challenges.[8]

Research and career

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Andreu-Perez started his career investigating novel ways for generic human activity recognition from wearables by means of evolving intelligent systems techniques.[9][10] His PhD focused on the development of evolving intelligent systems for problems arising from ubiquitous computing technologies, like the stochasticity and uncertainty of data modelling tasks such the recognition of human activity recognition by means of pervasive computing sensors.[5] His research envisaged the utility of smart implants to replace wearables in achieving personalized healthcare in order to reshape the management of acute and chronic diseases.[11] He has also collaborated with the British multinational pharmaceutic company GlaxoSmithKline for research on use of body sensors for the understanding of chronic conditions such as Rheumatoid Arthritis.[12] Andreu-Perez was an invited faculty at the foundational (1st edition) Digital Rheumatology Day[13] and annual international event organised by the swisse Foundation for Research into Musculoskeletal and Rheumatic Diseases (RMR).[14]

Andreu-Perez later investigations were part of the EPSRC-NIHR Healthcare Technology Cooperatives Partnership: Technology Network-Plus on Devices for Surgery and Rehabilitation.[15] In this project he explored the development of adaptive brain computer interface systems that uses fuzzy sets and systems to model neural uncertainty.[16] His more recent scientific contributions have involved the combination of fuzzy logic and convolutional neural networks for this endeavour in smart environments.[17] Making his first contribution in 2016, he also works in the development of techniques that combines brain connectivity estimators with machine learning[18] and fuzzy logic[19] for recognizing cognitive profiles.[18][19][20] Among his most recent research he has been involved in the development of explainable artificial intelligence methods in developmental cognitive neuroscience.[21] The official magazine of the IEEE Computational Intelligence Society featured an article from Andreu-Perez's group discussing his perspective in this research question.[22]

His research in health has been featured in the international news media.[23][24][25][26][27]

Academic esteem

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Andreu-Perez was in 2020 one of the 12 awardees of the Talentia Senior Fellowship program.[28] An international scheme that offered three-years funding support for researchers with an excellent scientific and leadership curriculum to perform research with public research institutions in Andalusia, Spain.[29] In 2017 he was also first prize winner at the Research Associate Symposium of the Department of Computing, Imperial College London.[30]

References

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  1. ^ a b c d "University of Essex profile page"
  2. ^ "Smart Health Technologies multidisciplinary hub at the University of Essex"
  3. ^ "Editorial Board of Neurocomputing (Elseiver)"
  4. ^ "HCAI-Essex"
  5. ^ a b "IEEXplore author page"
  6. ^ "The Hamlyn Centre Alumni"
  7. ^ "Imperial College - Institute of Global Health Innovation"
  8. ^ "The Hamlyn Centre - About us"
  9. ^ Andreu, Javier; Angelov, Plamen (2013). "Towards generic human activity recognition for ubiquitous applications". Journal of Ambient Intelligence and Humanized Computing. 4 (2): 155–156. doi:10.1007/s12652-012-0133-z. S2CID 255765189.
  10. ^ Andreu, Javier; Angelov, Plamen (2010). "Real-time human activity recognition from wireless sensors using evolving fuzzy systems". International Conference on Fuzzy Systems. pp. 1–8. doi:10.1109/FUZZY.2010.5584280. ISBN 978-1-4244-6919-2. S2CID 28727249.
  11. ^ Andreu-Perez, Javier; Leff, Daniel R.; Ip, H. M. D.; Yang, Guang-Zhong (2015). "From Wearable Sensors to Smart Implants-–Toward Pervasive and Personalized Healthcare". IEEE Transactions on Biomedical Engineering. 62 (12): 2750–2762. doi:10.1109/TBME.2015.2422751. hdl:10044/1/25678. PMID 25879838. S2CID 3162314.
  12. ^ Andreu-Perez, Javier; Garcia-Gancedo, Luis; McKinnell, Jonathan; Van Der Drift, Anniek; Powell, Adam; Hamy, Valentin; Keller, Thomas; Yang, Guang-Zhong (2017). "Developing Fine-Grained Actigraphies for Rheumatoid Arthritis Patients from a Single Accelerometer Using Machine Learning". Sensors. 17 (9): 2113. Bibcode:2017Senso..17.2113A. doi:10.3390/s17092113. PMC 5620953. PMID 28906437.
  13. ^ " 1st Digital Rheumatology Day"
  14. ^ "Digitalrheumatology.org - Who we are"
  15. ^ "EPSRC-NIHR HTC"
  16. ^ Andreu-Perez, Javier; Cao, Fan; Hagras, Hani; Yang, Guang-Zhong (2018). "A Self-Adaptive Online Brain–Machine Interface of a Humanoid Robot Through a General Type-2 Fuzzy Inference System" (PDF). IEEE Transactions on Fuzzy Systems. 26: 101–116. doi:10.1109/TFUZZ.2016.2637403. S2CID 27024576.
  17. ^ Vega, Christian Flores; Quevedo, Jonathan; Escandón, Elmer; Kiani, Mehrin; Ding, Weiping; Andreu-Perez, Javier (2022). "Fuzzy temporal convolutional neural networks in P300-based Brain–computer interface for smart home interaction". Applied Soft Computing. 117: 108359. arXiv:2204.04338. Bibcode:2022AppSC.11708359F. doi:10.1016/j.asoc.2021.108359. S2CID 245598412.
  18. ^ a b Andreu-Perez, Javier; Leff, Daniel Richard; Shetty, Kunal; Darzi, Ara; Yang, Guang-Zhong (2016). "Disparity in Frontal Lobe Connectivity on a Complex Bimanual Motor Task Aids in Classification of Operator Skill Level" (PDF). Brain Connectivity. 6 (5): 375–388. doi:10.1089/brain.2015.0350. PMID 26899241.
  19. ^ a b Kiani, Mehrin; Andreu-Perez, Javier; Hagras, Hani; Papageorgiou, Elpiniki I.; Prasad, Mukesh; Lin, Chin-Teng (2022). "Effective Brain Connectivity for fNIRS with Fuzzy Cognitive Maps in Neuroergonomics". IEEE Transactions on Cognitive and Developmental Systems. 14: 50–63. doi:10.1109/tcds.2019.2958423. hdl:10453/147185. S2CID 210960270.
  20. ^ Andreu-Perez, Ana R.; Kiani, Mehrin; Andreu-Perez, Javier; Reddy, Pratusha; Andreu-Abela, Jaime; Pinto, Maria; Izzetoglu, Kurtulus (2021). "Single-Trial Recognition of Video Gamer's Expertise from Brain Haemodynamic and Facial Emotion Responses". Brain Sciences. 11 (1): 106. doi:10.3390/brainsci11010106. PMC 7830500. PMID 33466787.
  21. ^ Andreu-Perez, Javier; Emberson, Lauren L.; Kiani, Mehrin; Filippetti, Maria Laura; Hagras, Hani; Rigato, Silvia (2021). "Explainable artificial intelligence based analysis for interpreting infant fNIRS data in developmental cognitive neuroscience". Communications Biology. 4 (1): 1077. doi:10.1038/s42003-021-02534-y. PMC 8443619. PMID 34526648.
  22. ^ Kiani, Mehrin; Andreu-Perez, Javier; Hagras, Hani; Rigato, Silvia; Filippetti, Maria Laura (2022). "Towards Understanding Human Functional Brain Development with Explainable Artificial Intelligence: Challenges and Perspectives" (PDF). IEEE Computational Intelligence Magazine. 17: 16–33. doi:10.1109/MCI.2021.3129956. S2CID 245502226.
  23. ^ "Covid-19: Indian variant cases rise and cough-detecting phone app". BBC News. 27 May 2021. Retrieved 8 March 2022.
  24. ^ Knowles, Tom (9 March 2021). "App can spot Covid cough by its sound". The Times. Retrieved 8 March 2022.
  25. ^ Deleon, Macie (10 October 2021). "Researchers Develop COVID-19 test using Artificial Intelligence Analyzing Coughs". Discovery Times. Retrieved 8 March 2022.
  26. ^ Forzinetti, Enrico (18 March 2021). "DeepCough3D, l'algoritmo che rileva la positività al Covid in base al modo di tossire". Corriere Della Sera (in Italian). Retrieved 8 March 2022.
  27. ^ "UAN participa en proyecto para detectar COVID-19 a través de la tos Este proyecto tiene como objetivo desarrollar una aplicación para la detección de personas infectadas por COVID-19, mediante el análisis acústico de la tos". Comunicados UAN Nayarit (in Spanish). 19 June 2021. Retrieved 8 March 2022.
  28. ^ "Talentia Senior Program - Awardees List"
  29. ^ "Talentia Fellowship Program - EURAXESS"
  30. ^ "Imperial College Computing RA Symposium"
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