About
Mohammad Nozari is a data scientist and a postdoctoral researcher at INESC TEC, working in NanoStima project where he uses his expertise to extract knowledge from electrocardiography signals. He is also collaborating with the Digi-NewB project where he applies metalearning on the fetal heart rate (FHR) for knowledge discovery about the healthiness of the babies after born. Previously, Mohammad worked as a researcher in several European projects like MANTIS (root cause analysis for predictive maintenance) and DRIVE-IN (data collection from Vehicular networks). He graduated from Faculty of Engineering, University of Porto, FEUP, with a Ph.D. degree in 2016.