E.M.M.A. is, primarily, an automatic service that provides quick, relevant information on prenatal progress for each week of the pregnancy. It also provides nutrition suggestions for the pregnant women. It includes a symptoms checker as well, that can give quick solutions to symptoms experienced by the pregnant woman.


Andreas Konstantinidis, Aphrodite Demetriades and Savvas Pericleous, "A Mulit-Objective Indoor Localization Service for Smartphones", ACM Symposium on Applied Computing, Limassol, Cyprus, April 8-12, 2019. (accepted)

A. Neocleous, K. Nicolaides, and C. Schizas, "First Trimester Non-invasive Prenatal Diagnosis: A Computational Intelligence Approach," IEEE Journal of Biomedical and Health Informatics, Vol. 20.5, pp. 1427-1438, 2016.

Constantinos Costa, Andreas Konstantinidis, Andreas Charalampous, Demetrios Zeinalipour-Yazti and Mohamed F. Mokbel, "Continuous Decaying of Telco Big Data with Data Postdiction", Geoinformatica (Advances of Computer Science for Geographic Information Systems), Springer, 2019 (accepted)


Christos Markides, PhD - Director

Konstantinos Marouchos - Developer