Trained as both a physician and engineer, she works to adapt technologies developed in the antennas and computer industry for healthcare innovation.

Nikita leverages technologies at the intersection of (bio-)electromagnetics, sensors, and materials to yield next-generation wearables and implants characterized by extreme miniaturization and enhanced performance.

[14] [15] She employed machine learning techniques exploiting medical, lifestyle, environmental, and genetic data and integrated them with existing pathophysiological knowledge and models in order to devise personalized markers for the early detection and assessment of an array of highly prevalent diseases.

[16][17][18][19] By multiscale modeling of carotid atherosclerosis, Nikita and her team introduced novel low-cost biomarkers for CVD/stroke risk assessment, bridging the gap between multifaceted phenotypes, incorporating image analysis-based indices, and pathophysiological mechanisms, underlying plaque vulnerability and rupture.

She is a member of the IEEE-EMBS Technical Committee on Biomedical and Health Informatics (TC BHI), Chair of the IEEE Greece Section and Deputy Dean of the School of Electrical and Computer Engineering of the NTUA.