Alexandra Korda PhD

Postdoctoral Researcher at University Clinic Schleswig-Holstein

About me

My research interests lie primarily in the application of computer science in health, ranging from the pre-processing and feature extraction engineering applied in signals or images to the defensive part of multivariate analysis. In particular, I am interested in examining different human records, developing new feature extraction methodologies and artificial intelligence applicable not only to medical signals and images, but also to psychological batteries and pharmacological studies covering in total the needs in personalized medicine.

Artificial intelligence (AI) gain space in life sciences by answering research questions on human development. It is particular the tool for doctors to recognize the illness but also to predict and give insights on treatment. Besides the illnesses, the recognition on human cognitive development advanced last years from the application of AI algorithms in this field. The production of generalized models under a cross-validation scheme is promising in the field of personalized medicine. Classification algorithms and the clustering techniques can be applied in human records, signals, images and questionnaires producing decision support systems for the support of the clinicians.

Signals 2021 best paper award : Recognition of Blinks Activity Patterns during Stress Conditions Using CNN and Markovian Analysis

By Alexandra I. Korda, Giorgos Giannakakis, Errikos Ventouras, Pantelis A. Asvestas, Nikolaos Smyrnis, Kostas Marias and George K. Matsopoulos

Signals 2021, 2(1), 55-71; DOI:10.3390/signals2010006