Gerald Matz is Full Professor for Machine Learning in Telecommunications with the Institute of Telecommunications at TU Wien. He received the Dipl.-Ing. (1994) and Dr. techn. (2000) degrees in Electrical Engineering and the Habilitation degree (2004) for Communication Systems from TU Wien, Austria. In 2004-2005 he was on leave as an Erwin Schrödinger Fellow with Supélec (France). He was a Visiting Researcher with ETH Zurich (Switzerland, 2007) and ENSEEIHT (Toulouse, France, 2011).

Prof. Matz has directed several research projects funded by the Austrian Science Fund (FWF), by the Viennese Science and Technology Fund (WWTF), and by the European Union. He has published 220+ articles in international journals, conference proceedings, and edited books. He is co-editor of the book Wireless Communications over Rapidly Time-Varying Channels (New York: Academic, 2011). His research interests include signal and information processing, information and communication theory, and machine learning.

Prof. Matz serves as Deputy Editor-in-Chief of the IEEE Trans. Signal Processing. He was a member of the IEEE SPS Technical Committee on Signal Processing Theory and Methods and of the IEEE SPS Technical Committee on Signal Processing for Communications and Networking. He was Associate Editor of the IEEE Trans. Information Theory, of the IEEE Trans. Signal Processing, of EURASIP's Signal Processing, and of the IEEE Signal Processing Letters. He served as Technical Chair (2016) and General Chair (2019) of the Asilomar SSC Conference and as Technical Program Co-Chair of EUSIPCO 2004. He has on the Technical Program Committee of numerous international conferences. In 2006, he received the Kardinal Innitzer Most Promising Young Investigator Award. He is an IEEE Fellow and a member of ÖVE.

Publications