Vossiek, Martin

Prof. Dr.-Ing. Martin Vossiek

Department Elektrotechnik-Elektronik-Informationstechnik (EEI)
Lehrstuhl für Hochfrequenztechnik

Raum: Raum 06.231
Cauerstr. 9
91058 Erlangen

Positionen und Funktionen


Scholar profile

Martin Vossiek was born in Dortmund, Germany, in 1964. He received the Dipl.-Ing. degree and the Ph.D. degree in electrical engineering from the Ruhr-University Bochum, in 1991 and 1996. In 1996 he joined the microwave and surface acoustic wave research group of Siemens, Munich, Germany. From 2000 to 2003 he was heading the microwave systems group of Siemens Corporate Technology and he was responsible for product developments in the field of commercial microwave sensor and communication systems. In 2003 he joined Clausthal University of Technology as a professor and was director of the Institute of Electrical Information Technology. Since 2011 he is chairing the Institute of Microwaves and Photonics (LHFT) at Friedrich-Alexander Universität Erlangen-Nürnberg (FAU). LHFT is a worldclass center for microwave research and scholarship, employing 4 professors, 4 PostDocs and around 50 PhD students and numerous student research assistants. ). Since 2019 he is the spokesman for the department Electrical Engineering (EEI) and vice dean of the Faculty of Engineering of FAU.

Mr. Vossiek has been engaged in research and development on microwave theory and techniques, radar systems, local position system, wireless motion capture and localization, imaging and localization algorithms, machine learning and neural network based radar signal processing and wireless sensor systems and sensor networks and RFID. In these fields he has authored or co-authored more than 300 papers and his research led to around 100 granted patents. His research work was acknowledged by numerous honors and best paper awards. Martin Vossiek is a fellow of the IEEE and recipient of the 2019 Microwave Application Award of the IEEE Microwave Theory and Techniques Society for outstanding technical contribution in the field of microwave theory and techniques.

Martin Vossiek is a member of the German National Academy of Science and Engineering (acatech). He is a member of the German research foundation (DFG) review board for the subject area 408-02 Communications, High-Frequency and Network Technology, Theoretical Electrical Engineering, for period 2020 – 2024. Martin Vossiek is member of the executive board of the IEEE German MTT/AP Chapter. He was the founding chair and is a member of the IEEE technical committee (TC) MTT-27 “Connected and Autonomous Systems”. He is also a member of the IEEE MTT Technical Committee MTT-29 Microwave Aerospace Systems and the IEEE MTT Technical Committee MTT-24 Microwave/mm-wave Radar, Sensing, and Array Systems. Martin Vossiek is chair of the ICMIM conference executive board within the MTT-S meetings and symposia committee. He is also acting in the German Information Technology Society VDE/ITG in three High-Frequency Technology specialist divisions: HF2 “Radio Communication”, HF3 “Microwave Technology” and HF4 “Localization”. He is the managing director of the “Institut für Mikrowellen und Antennentechnik e.V. – IMA” (Institute of microwaves and antennas). Mr. Vossiek did belong to the organization and technical program committees of various international conferences and workshops, e.g. he was chairing the German Microwave Conference (GeMIC) 2015, the European Radar Conference (EuRAD) in 2017 and the IEEE MTT-S International Conference on Microwaves for Intelligent Mobility (ICMIM) in 2018.

From 2013 to 2019 Martin Vossiek was an associate editor of the IEEE Transactions on Microwave Theory and Techniques, he is a member of the editorial board of the journal FREQUENZ and he has served on the review boards of technical journals, including IEEE Transactions on Microwave Theory and Techniques, IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control, IEEE Transactions on Robotics, IEEE Communications Letters and IEEE Transactions on Circuits and Systems and IEEE Transactions on Neural Networks and Learning Systems.

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