Kaveh Nazem Tahmasebi
Automated vehicles are emerging as a revolutionary technology that is shaping the future of mobility. In the design and operation of these systems, considering safety and reliability as two crucial factors is necessary. I am interested in developing safety control strategies, particularly stochastic model predictive control with control barrier function, for autonomous vehicles presence of emerging measurement uncertainties and unknown environments. I am working on detecting and modeling uncertainties and failures using both model-based and machine learning algorithms. Before starting my PhD, I worked as a research engineer at the unit of Mechatronics and Embedded Control Systems at KTH Royal Institute of Technology. During this time, I developed a fault injection tool to identify faulty operations in the control functions of automated driving. Additionally, I designed a cascaded control system for a Stewart platform.
Before joining KTH, I completed my MSc in Mechanical Engineering at Politecnico di Milano, Italy. During that time, I focused on developing an algorithm for trajectory planning to enable obstacle avoidance in unmanned aerial vehicles. In addition, I served as a research assistant in the Field Robotics Lab at the at University of Bolzano-Bozen, Italy.
Some projects I have been involved in:
TRUSST-E, EUREKA EURIPIDES2, from 2021.04 - Current. Contributing to the areas of safety control algorithms in automated vehicles, remaining useful lifetime estimation, and uncertainties analysis.
SocketSense EU H2020, from 2019 – 2022. Contributing in the areas of systems engineering, mechatronic systems, advanced state estimation and robotics control.