Dr Tasos Papastylianou

Senior Research Officer
School of Computer Science and Electronic Engineering (CSEE)
Dr Tasos Papastylianou



I am a Senior Research Officer at the Brain-Computer Interfaces and Neural Engineering (BCI-NE) lab at the University of Essex, working on a US-UK Bilateral Academic Research Initiative (BARI) project led by Prof. Riccardo Poli, looking at human-AI collaborative decision-making. Prior to this, I worked on Machine Learning and Biomedical Signal Processing for the Nevermind Project (, involving intelligent tools and systems enabling depression self management in patients with secondary depression, led locally by Dr Luca Citi. I was awarded my DPhil in November 2017, in the area of Biomedical Engineering, and specifically Medical Image Analysis, via the CDT in Healthcare Innovation at the University of Oxford. I was a co-founder of Sentimoto Ltd; a qualified physician with NHS experience; keen computer scientist; avid squash player; and a concert pianist (Young Musician of the Year 1999 - Cyprus).


Journal articles (3)

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 (6)

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