My research interests are in the areas of signal processing and machine learning applied (but not restricted) to medicine, biology and healthcare (Internet of Things/ wearables/ connected health/ early diagnostics and prognostics).
Biomedical signal processing, unsupervised learning, classification, (medical) image processing, computational neuroscience, computational biology, microbiome, nonlinear dynamics, system medicine, deep learning, semi-supervised learning, data science.
Loncar-Turukalo, E. Zdravevski, J. Machado da Silva, I. Chouvarda, V. Trajkovik: “Literature on Wearable Technology for Connected Health: Scoping Review of Research Trends, Advances, and Barriers,” Journal of Medical Internet Research 21(9):e14017 DOI: 10.2196/14017 PMID: 31489843, September 2019.
B.M. Rocha, D. Filos, L. Mendes, G. Serbes, S. Ulukaya, Y.P. Kahya, N. Jakovljevic, T. Loncar-Turukalo, I.M. Vogiatzis, E. Perantoni, E. Kaimakamis: “An open access database for the evaluation of respiratory sound classification algorithms”, Physiological measurement, 25;40(3):035001, March 2019.
Mijatović, T. Lončar-Turukalo, E. Procyk, D. Bajić: “A novel approach to probabilistic characterisation of neural firing patterns”, Journal of neuroscience methods, 15;305:67-81, July 2018.