Boualem Boashash

Boualem BoashashBoualem Boashash (IEEE Fellow '99') is a Scholar, Professor and Senior Academic with experience in 5 leading Universities in France and Australia and 2 universities in the Middle-East. He has published over 500 technical publications, including over 00 journal papers, 3 books and 3 text-books covering Engineering, Applied Mathematics and Medicine. He was an early pioneer of the field of Time-Frequency Signal Processing and he is currently working on the further development of time-frequency theory and medical applications covering mental health and neurosciences with focus on newborn EEG analysis as well as ECG, HRV and fetal movements for improving health outcomes. Among many initiatives, he founded ISSPA, a leading conference since 1985 and its sister workshop WOSSPA. After founding a leading research group at The University of Queensland, he became the Foundation Professor and Director of the Signal Processing Research Centre at the Queensland University of Technology, Brisbane, Australia (1991-2005). He then became the Dean of Engineering at the University of Sharjah, United Arab Emirates (2006-2009) then Associate Dean, Academic at Qatar University and finally a Research Professor. In addition to the teaching, research and management experience, he also has 3 years industrial experience with Elf-Aquitaine in France at the beginning of his career. He is currently Professor at Qatar University, Department of Electrical Engineering, and the leader of a Biomedical Signal Processing group at the School of Medicine, University of Queensland, Brisbane, Australia. He also developed the first software package for time-frequency signal analysis and processing (TFSAP) regularly updated with his co-workers and used by hundreds of researchers around the world. His work has been cited over 10,000 times. Professor Boashash was a member of ICASSP board, associate editor for the IEEE transactions on signal processing and he is currently a member of the Board of the Elsevier journal Digital Signal Processing. Read More Read Less

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Time-Frequency Signal Analysis and Processing38 %
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Signal Processing for Mobile Communications Handbook38 %
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Applications in Time-Frequency Signal Processing5 % NR
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Time Frequency AnalysisNR
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