Prof. Abdelhak Zoubir (Technische Universität Darmstadt, Germany)
Short Bio : Abdelhak M Zoubir is a Fellow of the IEEE and an IEEE Distinguished Lecturer (Class 2010-2011). He received his Dr.-Ing. from Ruhr-Universität Bochum, Germany in 1992. He was with Queensland University of Technology, Australia from 1992-1998 where he was Associate Professor. In 1999, he joined Curtin University of Technology, Australia as a Professor of Telecommunications and was Interim Head of the School of Electrical & Computer Engineering from 2001 until 2003. In 2003, he moved to Technische Universität Darmstadt, Germany as Professor of Signal Processing and Head of the Signal Processing Group. His research interest lies in statistical methods for signal processing with emphasis on bootstrap techniques, robust detection and estimation and array processing applied to telecommunications, radar, sonar, car engine monitoring and biomedicine. He published over 400 journal and conference papers on these areas. Professor Zoubir was Technical Chair of the 11th IEEE Workshop on Statistical Signal Processing (SSP) in 2001, Technical Co-Chair of the 39th IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP) in 2014, General Co-Chair of the 3rd IEEE International Symposium on Signal Processing & Information Technology (ISSPIT) in 2003, the 5th IEEE Workshop on Sensor Array and Multi-channel Signal Processing (SAM) in 2008, the 21st European Conference on Signal Processing (EUSIPCO) in 2013, and the 14th IEEE Workshop on Signal Processing Advances in Wireless Communications (SPAWC) in 2013. He was an Associate Editor of the IEEE Transactions on Signal Processing from 1999-2005 and a Member of the Senior Editorial Board of the IEEE Journal on Selected Topics in Signal Processing from 2009-2011. He served on the Editorial Boards of the EURASIP journals Signal Processing and The Journal on Advances of Signal Processing (JASP). He was the Editor-In-Chief of the IEEE Signal Processing Magazine (2012-2014). Dr Zoubir was Past-Chair (2012) of the IEEE SPS Technical Committee Signal Processing Theory and Methods (SPTM) (Chair (2010-2011), Vice-Chair (2008-2009) and Member (2002-2007)) and was a Member of the IEEE SPS Technical Committee Sensor Array and Multi-channel Signal Processing (SAM) (2007-2012). He also served from 2009-2016 on the Board of Directors of the European Association of Signal Processing (EURASIP) whose president he currently is (2017-2018). He also was a member of the Board of Governors of the IEEE Signal Processing Society (2015-2017).
“Advances in Through-Wall Radar Imaging”
Abstract : Automatic detection of Humans and objects behind visually opaque materials is an extremely important task with numerous civilian and military applications. For example, in police and firefighter missions or search and rescue operations, one is interested in detecting buried survivors after an earthquake or detecting concealed weapons and explosives. Through-Wall Radar Imaging (TWRI) is an emerging technology with an enormous potential for applications such as the ones above and beyond. TWRI involves cross-disciplinary research in electromagnetic propagation, antenna and waveform design, wall compensation, and image and signal processing. The talk puts in perspective how to discern the presence of indoor targets and proposes effective methods for their discrimination and classification. The algorithms presented are not target or class of target specific, but rather applicable to a variety of targets, and are validated by experimental data. We will also discuss how Compressive Sensing (CS) can achieve various radar sensing goals and objectives, and how it compares with the use of full data volume. Different radar specifications and configurations will be used. In particular, we will address CS for urban radars towards achieving exploitation of multipath. All of the above issues will be examined using real data.
Prof. Andriyan Bayu Suksmono (School of Electrical Engineering and Informatics, ITB (Institut Teknologi Bandung), Indonesia)
Short Bio : Andriyan Bayu Suksmono is a Professor of Imaging and Signal Processing in the School of Electrical Engineeringand Informatics, ITB (Institut Teknologi Bandung), Indonesia. He received Sarjana (BSc.) and Magister (M.S.) degrees from ITB and a PhD degree from Faculty of Engineering, The University of Tokyo, Japan. His main research interests are Compressive Sampling, Radar, Subsurface Imaging, and Quantum Computing. Dr. Suksmono is a Senior Member of the IEEE and A Distinguished Lecturer from the IEEE Indonesia Section.
“Applied Compressive Sensing”
Abstract :Compressive Sensing (CS) is an emerging sampling/sensing technique with various kind of applications. Underlying CS theory is the uncertainty principle (UP), in which, a function or signal cannot be simultaneously sparse in time and frequency domain. Generalization of UP to a discrete domain implies that an N-length signal with K-degree of sparsity can be exactly reconstructed from its M~O(log(N)) sub-samples. The CS principles can be used to develop a better signal reconstruction method or to build a faster device. This Keynote Speech will talk about applied aspects of the CS, among others are: CS Radar Method and Device, CS-VLBI (Very Long Baseline Interferometry) Method, CS Method for fBm signal interpolation, and CS applications in dark-matter mapping.
Prof. Abdelhak Zoubir (Technische Universität Darmstadt, Germany)
“Advances in Array Processing”
Abstract : Antenna Array (Signal) Processing, or Sensor Array (Signal) Processing, or simply Array Processing deals with methods for processing the output data of an array of sensors, located at different points in space in a wavefield. Its objective is to get insight into the structure of the waves that carry information traversing the array. For example, one may be interested in the location parameters of a source or of the number of sources that impinge on the array. Array Processing is also concerned with the finding of the number of sources in the wavefield. Array Processing algorithms have matured over the last three decades and have become a state-of-the-art tool for solving challenging problems in diverse applications in engineering practice. Array Processing is more important than ever before with the increase of its wide-range applicability in advanced applications, including biomedicine and wireless communications. The tutorial is designed for researchers and practicing engineers who wish to equip themselves with foundations of sensor array signal processing, find out about the most recent research advances in the field, about new directions, and state-of-the-art applications. The tutorial is also suited for graduate students, interested in discovering the most challenging and recent trends in Array Processing so as to embark in a timely graduate education journey.