Research interests

Research Interests:

Data analysis, modeling and prediction of complex systems, numerical studies with applications in medicine and biology.

PhD work:

We are developing a system for continuous analyses of data obtained from the hospital patient data management system (PDMS) in order to enable model-based ‘algorithmic surveillance’ of the state of critically ill patients. The project comprises Big Medical Data analysis and a hybrid deep learning system which make use of the infrastructure and the data sharing among the participating hospitals and companies. 

Moreover, we are working on the development and improvement of mechanistic systems medicine models and physiological models complemented by machine learning in a hybrid virtual patient model. Ultimately, the virtual patient model will enable individual prognoses to support therapy decisions, clinical trials and training of future clinicians.

 

Current scientific activities

02/2018 - present Doctoral candidate, Joint Research Center for Computational Biomedicine, AICES, RWTH Aachen University, Germany

Education

2015–2017 Master of Science, Physics, the University of Cologne, Cologne, Germany. Master thesis: Power system stability in the presence of fluctuating power injections and voltage instabilities.
2011–2015 Bachelor of Applied Mathematics and Physics with honors, Moscow Institute of Physics and Technology, Moscow, Russia. Bachelor thesis: Search of functional differences between Escherichia coli strains associated with Crohn’s disease and commensal strains.

Konstantin Sharafutdinov

Profilbild Konstantin Sharafutdinov

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