Tenure-Track Prof. Morozov

28. Mai 2020 /

Jun.-Prof. Andrey Morozov has started at IAS in April 2020. He holds a six-years tenure-track position. During this time, he has to establish a new professorship for "Networked Automation Systems" and achieve the research and teaching goals defined by the rectorate.


Jun.-Prof. Morozov received his diploma in Computer Science and Mathematics from Ufa State Aviation Technical University in 2007 in Ufa, Russia. In 2009 he moved to Germany and, in 2012, got a doctoral degree (Dr.-Ing.) in the Institute of Automation (IfA), Faculty of Electrical and Computer Engineering, Technische Universität Dresden. Since that, being a postdoc researcher, he worked on several R&D projects funded by DLR, ESA, NASA, and DFG. In 2014, Jun.-Prof. Morozov built a new research group at IfA with the main focus on the model-based analysis of safety-critical mechatronic systems. In 2019 the group grew up to 5 Ph.D. students, one had successfully defended in Nov. 2019. Jun.-Prof. Morozov has published 40 research papers and made more than 20 scientific talks, including the presentations in research centers of ESA, DLR, Bosch, MathWorks, Sandford Research Institute, and the University of California Los Angeles.

Research goals:

The research interest of Jun.-Prof. Morozov lies at the intersection of three domains, namely, (i) Networked Automation Systems (NAS), (ii) Dependability, and (iii) Artificial Intelligence (AI). Modern NAS is a particular case of Cyber-Physical Systems (CPS) with the focus on the cooperation of heterogeneous industrial robotic systems. Accurate assessment of reliability, safety, and resilience is essential for NAS because of the high cost of downtime and strict safety requirements. However, the analytical capabilities of dependability evaluation methods, which are currently applied in the industry, are far behind the technical level of the systems in question. These methods cannot adequately describe sophisticated failure scenarios of highly dynamic and intelligent NAS. Besides that, future NAS will include more and more AI components. However, the reliability and safety analysis of AI is an entirely open question at the moment. An inevitable revolution in the dependability methods is expected in the next years. So, the main goal is to build a strong research team capable of taking a leading role in the development of the next generation of dependability analysis methods for modern and future NAS.

Teaching goals:

Jun.-Prof. Morozov will take over the "Technologien und Methoden der Softwaresysteme I" course for bachelor students from the winter term 2020-2021. Besides that, he is creating a new 4SWS course "Modeling and Analysis of Automation Systems (MAAS)" for master students of the study programs Autonomous Systems, Electrical Engineering, and Information Technology, and Electrical Engineering.

Zum Seitenanfang