University of Groningen
Farhad Ghanipoor was born in Iran, 1995. He received his B.Sc. degree in Mechanical Engineering from K. N. Toosi University of Technology, Tehran, Iran. He also received his M.Sc. degree in Mechanical Engineering, Applied Mechanics from Sharif University of Technology, Tehran, Iran. His Master thesis was about parameter identification using data fusion methods. His research interests include Control, Robotics, System Identification and Heuristic algorithms concerned with Machine Learning.
He is going to work on hybrid model-data approaches for machine level anomaly detection and isolation within the Digital Twin project, under the supervision of Prof. Nathan Van de Wouw and Prof. Carlos Murguia.
David has a diverse background, he holds a bachelor degree in Chemical Engineering from the UNAM university in Mexico. Additionally, he holds two master degrees, one in Operational research specialized in Electrical Engineering, from the University of Edinburgh; and in Automotive technology specialized in Model Driven Software Engineering, from the Eindhoven University of Technology. Also, David has professional experience working in manufacturing and sustainability; where he developed himself with the electrotechnical industry in sustainability related regulations, standards and product design. During his studies, David has worked in the design of complex system and has developed practical knowledge in Digital Twins, particularly in the usage life cycle phase of digital twins.
Lars Janssen was born in the Netherlands and received his B. Sc and M. Sc. in Mechanical Engineering at the Eindhoven University of Technology. His interest lies in dynamics and control and the mathematical challenges within the project.
Wouter Weekers is a Ph.D. candidate within the Dynamics and Control group of the department of Mechanical Engineering at Eindhoven University of Technology. During his Ph.D. he is supervised by prof. dr. ir. Nathan van de Wouw and dr. Alessandro Saccon (MSc).
His current research is focused on developing a data-based performance optimization strategy to make control systems agile under changing circumstances, guaranteeing optimal performance in terms of time-varying system behavior, while dealing with changing circumstances of use, hard constraints related to hardware and customer specifications, and nonlinear system behavior.
Wouter received both his B.Sc-degree in Mechanical Engineering, and his M.Sc.-degree in Systems and Control from Eindhoven University of Technology in 2018 and 2021, respectively. During his studies he gained interest in dynamics, control, robotics, machine learning, and optimization.