- Received several awards during his academic career, including Young researcher’s Award for M.Sc. (2005 and 2006), best M.Sc. thesis selected by National Scientific Students’ Organization of Electrical Engineering (NSOEE) in 2007
- Active reviewer for several journals including IEEE Transactions on Audio, Speech and Language Processing, Elsevier Digital Signal Processing and Speech Communication, EURASIP
- Reviewer for ICASSP, EUSIPCO and INTERSPEECH conferences
- Co-organizer for special session entitled “Phase Importance in Speech processing” at INTERSPEECH 2014 in Singapore
- Guest editor for the special issue on “Phase-Aware Signal Processing in Speech Communication” in Elsevier
- Part of the organizing committee for EUSIPCO 2010, AUDIS workshop 2012 and INTERSPEECH 2019
- Associate Editor for the IEEE/ACM Transactions on Audio, Speech and Language Processing
- Elected Member of the IEEE Signal Processing Society Technical Committee on Audio and Acoustic Signal Processing
Research Experience
- Marie Curie Postdoctoral Fellow at the Institute of Communication Acoustics, Ruhr-Universität Bochum, Germany, from 2011 to 2012
- Assistant Professor at Graz University of Technology from 2012 to 2017
- Adjunct Professor for speech signal processing at Graz University of Technology since 2017
- External Associate Professor with Graz University of Technology and principal investigator for research group at SPSC Lab since 2017
- Signal Processing Specialist with Widex Sivantos Audiology (WSA), Denmark, from Dec. 2017 to Nov. 2020
- Senior Research Scientist and project manager at GN Audio A/S (Jabra) from Dec. 2020 to March 2022
- Lead Research Scientist at GN Audio A/S (Jabra) since March 2022
Education
- B.Sc. in Electrical Engineering from Guilan University, Iran, in 2004
- M.Sc. in Telecommunications Engineering from Iran University of Science and Technology, Iran, in 2006
- Ph.D. in Electrical and Electronic Engineering from Aalborg University, Denmark, in 2010
Background
Research interests include acoustic signal processing and machine learning for audio applications and communication, including signal enhancement, source separation, speech quality estimation, Echo Control, and signal processing for TX and RX audio applications.