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Stadius Center is one of the 6 divisions of the department of Electrical Engineering (ESAT) of KU Leuven. Its major research objective is to contribute to the development of improved digital (control and signal processing) systems, that incorporate advanced mathematical modeling techniques as a crucial new ingredient. Within this Center, the Biomedical Data Processing research team, headed by Prof. Sabine Van Huffel and Prof. Alexander Bertrand (6 postdocs, 20 PhD students) integrates knowledge of diverse mathematical domains such as (multi-)linear algebra, (non)linear signal analysis, classification and system identification, and focuses on the development of numerically reliable and robust algorithms for improving and automating medical diagnostics. In this domain the team has built up an international reputation (400 journal papers).

Assistant professor

Alexander Bertrand

Prof. Alexander Bertrand is assistant professor in the STADIUS group of KU Leuven since 2014. He has been a visiting scholar at University of California, Los Angeles (in 2010, with Prof. Ali H. Sayed) and at University of California, Berkeley (in 2013, with Prof. Jan Rabaey), and he was a visiting researcher at Holst Centre/Imec-NL, Eindhoven (in 2013). His research expertise is in biomedical signal processing, sensor array processing, audio and ultrasound signal processing, wireless sensor networks and body area networks, distributed signal processing, and neural signal processing. Dr. Bertrand is involved in several national and international research projects, and maintains international research collaborations with UC Berkeley, UCLA, EPFL, TU Darmstadt, Univ. Athens, and several other research institutes. He received the 2012 FWO/IBMBelgium Award, the 2013 KU Leuven Research Council Award (Science & Technology), an Honorary Mention in the ERCIM Cor Baayen Award (2013), and was awarded several research fellowships/grants. He is currently Associate Editor for the IEEE Transactions on Signal Processing, a recurrent Associate Editor for the yearly International Conference of the IEEE Engineering in Medicine and Biology Society (IEEE EMBC 2016-2018), and editor of the newsletter of the European Association for Signal Processing (EURASIP). He is also an elected member of the Sensor Array & Multi-channel (SAM) technical committee of the IEEE Signal Processing Society, and a board member of the Benelux chapter of the IEEE Signal Processing Society. In the past, he has served as lead guest editor for Signal Processing (Elsevier), as Area Chair for EUSIPCO (2017 & 2018), and as a Technical Program Committee Member for several international signal processing conferences and Workshops (EUSIPCO, IEEE GlobalSIP, IEEE SAM, IEEE EMBC, IEEE WASPAA, IEEE CAMSAP, etc.).

Dr Jasleen Birdi

Jasleen Birdi is a post-doctoral researcher working jointly with the Lab on Cardiovascular Imaging & Dynamics and STADIUS Centre of KU Leuven. She holds a Masters degree in Physics from Indian Institute of Technology, Delhi, India. After her MSc in 2015, she moved to the UK to pursue her PhD in signal processing for astronomical interferometric imaging at Heriot-Watt University, Edinburgh. Jasleen is currently involved with the Amphora project, where her role is to develop signal processing techniques for quantitative ultrasound.

Tasks and Tools

Ultrasound Signal Processing: In close collaboration with DoseVue NV and the Laboratory of

Cardiovascular Dynamics & Imaging, the team will develop, implement and validate robust advanced signal processing approaches to perform differential ultrasound echo measurements relating changes in backscatter data to exposure doses (WP4). The team will develop novel spectral analysis and modelling algorithms, based on advanced regularization strategies, for improved information extraction from the spectral descriptors obtained at differential time points. The lab will share a PhD student and PostDoc with Cardio-Vascular Imaging & Dynamics.

Validation: The team will actively contribute to the in-vitro validation of the ultrasound setup for dose extraction in view of further optimizing the developed signal processing algorithms.

AMPHORA aims to develop a non-invasive in-situ dosimetry system for radiation therapy with the potential of on-line dose assessment by casting ultrasound contrast agents (UCAs) into dose sensing theranostic devices.