Anto Tony Rajan

Thesis topic : Effective updating of data models for repair prediction in an automotive diagnostic system. Effective methods to update diagnostic data models for repair prediction with the patterns in the new incoming data are researched. Implementation of the solution in done in R programming language.

Performance analysis of predictive data models employed in a car diagnostic system using R. Generation of KPI for diagnostic data models with respect to different attributes with the visualization effectuated with ggtool. Extraction of diagnostic information from logfiles using Hadoop with MapReduce implementation.

Debugging of MEDC17 and MDG1 microcontrollers or Electronic Control Units (ECU) with Universal Debug Engine (UDE) -Alpha and beta phase testing of new versions of the Debugging tool, Universal Debug Engine. -Development of scripts for the automatic testing of ECUs using UDE -Development of test programs for alpha & beta phase testing of Universal Debug Engine

-Knowledge transfer on advanced debugging of ECU using Universal Debug Engine -MDG1 and MEDC17 ECU debugging

Data science