Dr Tasos Papastylianou
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Email
tasos.papastylianou@essex.ac.uk -
Location
5B.535, Colchester Campus
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Academic support hours
Tuesdays 10:00-12:00
Profile
Biography
I am a Lecturer in Computer Science at the School of Computer Science and Electronic Engineering, at the University of Essex. I hold a PhD (DPhil) in Biomedical Engineering (Oxford), an MSc in Advanced Computer Science (Bristol), a Bachelors in Medicine and Surgery (MBChB - Bristol), and a BSc in Neuroscience (Bristol). In the past I have worked as a doctor in the NHS, and had also co-founded the (now defunct) Sentimoto Ltd, a company with a focus on Wearables for Older Adults which won multiple awards, before eventually becoming absorbed into Babylon Health. Additionally I hold an AdvanceHE Fellowship (FHEA) and I'm a Licentiate of the Royal Schools of Music (LRSM) in piano performance. I am also a keen squash player, ever-striving to improve my ranking at the university's squash league. My academic research focuses on clinical and public health applications of Artificial Intelligence and Machine Learning. In particular, I’m interested in: data analysis and information fusion from biological signals (e.g. Brain Computer Interfaces, wearables, hospital-derived, etc) and digitised health data; medical image analysis, explainability, and appropriate validation; applications of neural, fuzzy, and genetic methods; AI or tech-oriented public health interventions, and the use and benefits of free and open-source software in medicine. In recent years I have also dabbled a bit in computational finance (in collaboration with colleagues from Essex), specifically in algorithmic trading and portfolio optimisation. I currently teach CE303: Advanced Programming, which focuses on advanced programming concepts, primarily explored through Java, a bit of Haskell, and with sparse references to other programming languages more generally. In the past I have also taught CE310: Evolutionary Computation and Genetic Programming, as well as some introductory short courses in scientific python and Matlab/Octave. I'm always up for a chat over coffee with interesting people (and/or fellow computer nerds!).
Research and professional activities
Research interests
Clinical and public health applications of Artificial Intelligence and Machine Learning
Teaching and supervision
Current teaching responsibilities
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Advanced Programming (CE303)
Publications
Journal articles (8)
Salami, A., Papastylianou, T., Adeoye, M., Ronayne, J., Bixby, H., Stawski, R., Fromson, B., Doltis, M., Mahmoud, O. and Di Cesare, M., Is gamification the new panacea for health-behavioral changes? Implications for the Health and Life Insurance Industry. (Preprint). JMIR Serious Games
Long, X., Kampouridis, M. and Papastylianou, T., (2026). Multi-Objective Genetic Programming-based Algorithmic Trading, using Directional Changes and a Modified Sharpe Ratio Score for Identifying Optimal Trading Strategies. Artificial Intelligence Review. 59 (2)
Long, X., Kampouridis, M. and Kanellopoulos, P., (2026). Multi-Objective Genetic Programming-based Algorithmic Trading, using Directional Changes and a Modified Sharpe Ratio Score for Identifying Optimal Trading Strategies. Artificial Intelligence Review. 59 (2), 39-39
Habbab, F., Kampouridis, M. and Papastylianou, T., (2025). Improving Real Estate Investment Trust (REITs) time-series prediction accuracy using Machine Learning and Technical Analysis indicators. Artificial Intelligence Review. 58 (3), 70-70
Kampouridis, M., Evdokimov, I. and Papastylianou, T., (2023). Application Of Machine Learning Algorithms to Free Cash Flows Growth Rate Estimation. Procedia Computer Science. 222, 529-538
Carli, V., Petros, NG., Hadlaczky, G., Vitcheva, T., Berchialla, P., Bianchi, S., Carletto, S., Christinaki, E., Citi, L., Dinis, S., Gentili, C., Geraldes, V., Giovinazzo, L., Gonzalez-Martinez, S., Meyer, B., Ostacoli, L., Ottaviano, M., Ouakinin, S., Papastylianou, T., Paradiso, R., Poli, R., Rocha, I., Settanta, C., Scilingo, EP. and Valenza, G., (2022). The NEVERMIND e-health system in the treatment of depressive symptoms among patients with severe somatic conditions: A multicentre, pragmatic randomised controlled trial. eClinicalMedicine. 48, 101423-101423
Qian, G., Toizumi, M., Clifford, S., Le, LT., Papastylianou, T., Satzke, C., Quilty, B., Iwasaki, C., Kitamura, N., Takegata, M., Bui, MX., Nguyen, HAT., Dang, DA., van Hoek, AJ., Yoshida, LM. and Flasche, S., (2022). Association of pneumococcal carriage in infants with the risk of carriage among their contacts in Nha Trang, Vietnam: A nested cross-sectional survey. PLoS Medicine. 19 (5), e1004016-e1004016
Christinaki, E., Papastylianou, T., Carletto, S., Gonzalez-Martinez, S., Ostacoli, L., Ottaviano, M., Poli, R. and Citi, L., (2020). Well-being Forecasting using a Parametric Transfer-Learning method based on the Fisher Divergence and Hamiltonian Monte Carlo. EAI Endorsed Transactions on Bioengineering and Bioinformatics. 1 (1), 166661-166661
Conferences (7)
Habbab, F., Kampouridis, M. and Papastylianou, T., (2023). Improving REITs Time Series Prediction Using ML and Technical Analysis Indicators
Christinaki, E., Papastylianou, T., Poli, R. and Citi, L., (2019). Parametric Transfer Learning based on the Fisher Divergence for Well-being Prediction
Papastylianou, T., Dall’ Armellina, E. and Grau, V., (2016). Orientation-Sensitive Overlap Measures for the Validation of Medical Image Segmentations
Papastylianou, T., Kelly, C., Villard, B., Dall’ Armellina, E. and Grau, V., (2015). Fuzzy Segmentation of the Left Ventricle in Cardiac MRI Using Physiological Constraints
Zhu, T., Behar, J., Papastylianou, T. and Clifford, GD., (2014). CrowdLabel: A crowdsourcing platform for electrophysiology
Zhu, T., Osipov, M., Papastylianou, T., Oster, J., Clifton, DA. and Clifford, GD., (2014). An intelligent cardiac health monitoring and review system
Papastylianou, T., Behar, J., Guazzi, A., Jorge, J., Laranjeira, S., Maraci, MA., Clifford, GD., Hope, RA. and Thomson, P., (2014). Smart handpumps: Technical aspects of a one-year field trial in Rural Kenya
Grants and funding
2023
Yu Life Limited KTP 22_23 R4
Innovate UK (formerly Technology Strategy Board)
Contact
Academic support hours:
Tuesdays 10:00-12:00
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