Gokul Kannan

Topic: Road user detection in radar data cubes with deep learning. (TensorFlow, Autonomous Driving). Creating object detection model from scratch based on research from various SOTA methods in CV.

Tasks: Developed SSD based object detection pipeline using deep learning in Python and TensorFlow.

Tasks: Generated HD road maps for radar localization in ROS and C++.

Tasks: Design and development of automotive Telematic communication system and HMI display control. Achievements: o Developed python script for automatic SIL test case generation and validation from requirements. o Completed functional safety analysis (FTA, DFA, FMEA) as per ISO 26262 for telematic project o Created a tool for valid text generation for HMI device which reduced human effort from 15 days to 2 days.

Tasks: Development of electric power steering functionalities like Active return, Automatic Parking Control, Lane keep assistance, and communication infrastructures like CAN and UDS. Achievements: o Lead an internal team formed to build machine learning based SW development algorithms. o Developed an Anomaly detection based steering angle outlier detection at different vehicle speed. o Designed a Machine Learning (SVM) based classifier for UDS result analysis in OEM test logs.

Digital Electronics, Automotive Instrumentation, Power electronics, Computer Architecture, C++, Advanced data structures, Sensors and its applications, Digital signal processing, Computer aided power systems