Research interests

Research Interests:
Machine Learning, Artificial Intelligence, Disease Modeling, Reproducible Research.

PhD work:
Sepsis is an undesired whole body inflammatory response to infection and current
diagnostic tools/guidelines are unable to detect its early onset. In cooperation with
Uniklinikum Aachen, our project focusses on the analysis of intensive care patient data in order to identify relevant Sepsis parameters and develop mathematical/hybrid models to facilitate early diagnosis.

Education

04/2015 - present Doctoral candidate, Joint Research Center for Computational Biomedicine, AICES, RWTH Aachen University, Germany
10/2010 - 11/2013 M.Sc. Student (Communications Engineering), RWTH Aachen Univerity, Germany Thesis: People Detection and Tracking in Crowded Scenes.
05/2012 - 09/2012 Internship in Computer Vision, Max-Planck Institute for Informatics
09/2011 - 02/2012 Erasmus student, ETH Zurich, Switzerland.

Jayesh Sudhir Bhat

Profilbild Jayesh Sudhir Bhat

Doctoral candidate, Joint Research Center for Computational Biomedicine, AICES, RWTH
Aachen University, Germany