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Ao.Univ.Prof. Dipl.-Ing. Dr.techn.
Franz Hlawatsch
E-Mail:franz.hlawatsch(at)tuwien.ac.at
Tel.:+43 (1) 58801 - 38963
Fax:+43 (1) 58801 - 389 99
Room:CG0110
Address:Gusshausstraße 25 / E389
1040 Wien

Biography

 

Franz Hlawatsch received the Diplom-Ingenieur, Dr. techn., and Univ.-Dozent (habilitation) degrees in electrical engineering/signal processing from Vienna University of Technology, Vienna, Austria in 1983, 1988, and 1996, respectively.  Since 1983, he has been with the Institute of Telecommunications, Vienna University of Technology, where he holds an associate professor position.  He worked as a consultant for Schrack AG (1983-1988) and AKG GesmbH (1984-1985).  During 1991-1992, as a recipient of an Erwin Schrödinger Fellowship, he spent a sabbatical year with the Department of Electrical Engineering, University of Rhode Island, RI, USA.  In 1999, 2000, and 2001, he held one-month Visiting Professor positions at ENSEEIHT/TéSA (Toulouse, France) and IRCCyN (Nantes, France).

He (co-)authored a book, a review paper that appeared in the IEEE Signal Processing Magazine, 16 book chapters, 40 papers in refereed international journals (mostly IEEE), 135 papers in proceedings of international conferences and workshops (mostly IEEE), and three patents.  He co-edited three books.  He is co-author of a paper that won an IEEE Signal Processing Society Young Author Best Paper Award and of a paper that won a Best Student Paper Award at IEEE ICASSP 2011.

He is a Fellow of the IEEE.  He served as an associate editor for the IEEE Transactions on Information Theory and the IEEE Transactions on Signal Processing, and as a member of the IEEE SPCOM Technical Committee.  He was Technical Program Co-Chair of the 12th European Signal Processing Conference (EUSIPCO 2004) and served on the technical committees of numerous conferences including IEEE ISIT, IEEE SPAWC, IEEE ICC, IEEE SSP, and EUSIPCO.

His current research interests include statistical signal processing, sparsity-aided signal processing, distributed signal processing in sensor networks, and signal processing for wireless communications.

 

Detailed CV

   

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