Mohammed Aslam Imtiaz

Research Assistant in a project funded by Bundesministerium für Bildung und Forschung.The Research is to apply Machine Learning in Big Patient Data affected from kidney and Liver failure and to generate models.Using R to apply standard statistical / machine learning methods to patient data incl. Feature selection, tuning the process. Internal validation by resampling (bootstrapping or cross-validation)

Comparison of methods for analysing RFLP data using R Study programs that use band matching and distance methods for analysing RFLP data.Implementation of band matching method in R as additional functionality for package RFLPtools.Creation of a simulation study, for RFLP data set including various scenarios. Comparison of all proposed methods based on simulated data sets

Correction of student homework in Statistics (Molecular and Technical Medicine, B.Sc.), students had to use statistical software R for their solutions.

Minimal Invasive Surgery, Microcontroller programming, Simulation in Biomedicine, Sensors and Measurements, Biostatistics, Bioinformatics and System Biology.

Bioinformatics,Biosatistics and Medical Enigneering