Dinesh Krishna N. is an accomplished Artificial Intelligence Researcher at Deutsches Forschungszentrum für Künstliche Intelligenz (DFKI) since April 2021, specializing in urban pluvial flooding and microstructure property prediction, with expertise in developing AI solutions for various applications including flood prediction and satellite collision avoidance. Previous experience includes roles as a Research Assistant at FZI Forschungszentrum Informatik, focusing on autonomous driving and trajectory estimation, and as a Master Thesis Candidate at the University of Stuttgart where Dinesh conducted research in uncertainty quantification using probabilistic machine learning, achieving a top grade. Educational qualifications comprise a PhD in Computer Science from RPTU Kaiserslautern-Landau, an M.Sc. in Computational Mechanics from the University of Stuttgart, and a B.Eng. in Mechanical Engineering from PSG College of Technology, supplemented by experience in vehicle intelligence at Mercedes-Benz AG and teaching assistantship in sensorics and automation.
Sign up to view 0 direct reports
Get started