Aparna Nagarajan

Algorithm development for radar sensor in OEM vehicles. Design and implementation of the Euro NCAP artificial scenes using Matlab. Development of object tracking algorithms in SIL simulation environment in C. Validation and Analysis of the tracking performance using specific tools: MTS and BBT. Module and unit testing for the implemented features. Function Development for evaluation tool for simulation in C#.

1) Algorithm development for pedestrian detection (environmental perception) for auto brake assist in automated driving. 2) Prediction of the time-series ultrasound sensor data from the vehicle as pedestrian, object or free space. 3) Built classification models with 97% accuracy using deep neural network and state-of-the-art data mining approaches.

1) Algorithm development for predictive maintenance using the ECU calibration data of the construction machines. 2) Research on state-of-the-art data mining approaches to improve the quality control at the production line. 3) Resulted 20 statistical outliers from the proposed anomaly detection models had a history of failures.

Different test scenarios in an integrated environment of CarMaker (virtual test platform) and SUMO (traffic simulation package).

1) Software development: Integration of two tools- OpenModelica and Ngspice in Python. 2) Built DTMF based secure lamp system using Arduino IDE. 3) Embedded programming using ladder logic with our designed open-source Programmable Logic Controller.

Statistical Machine Learning Digital Signal Processing Imaging and Image Processing

Embedded and Real Time Systems Data Structures and Object Oriented Programming in C++ Digital Image Processing Thesis : Face Recognition using Principal Component Analysis