Kiran Govind

Kiran Govind is an experienced engineer with a robust background in automotive technology and sensor analysis. Currently serving as a Master Thesis Student at Valeo, Kiran has developed a Master SVM algorithm and achieved a significant latency reduction in automotive applications. Previous roles include data analysis and calibration for ADAS as a Student Intern and testing and reporting for automotive systems as a Working Student at Valeo. Kiran's experience as a Project Engineer at TECOSIM Group involved crash simulation and structural analysis, while earlier positions included advanced simulation work and model building in various engineering applications. Kiran holds a Master's degree in Analytical Instruments and Measurements of Sensor Technology from Coburg University, along with a Master's in Mechanical Engineering from Birla Institute of Technology and Science and a Bachelor's in Mechanical Engineering from NSS College of Engineering.