Sabine Van Huffel
Research
Research – fundamental/theoretical as well as application oriented- is performed in the domain of (multi)linear algebra, (non)linear signal analysis, machine learning and Artificial Intelligence (AI) with special focus to the development of numerically reliable and robust algorithms for empowering medical decision support and smart patient monitoring. In this domain the group has built up an international reputation.
Highlighted topics are:
Topics:
- Total Least Squares (TLS) fitting combines effectively statistical and numerical methodologies for dealing with errors in linear parameter estimation problems; Her contributions involve numerical issues, computational efficiency, statistical value, and valuable, creative applications mainly in biomedicine. Her book (The Total Least Squares Problem, SIAM, 1991, 300 pages, about 2055 scholar-google citations) with J. Vandewalle became the standard book for TLS and received excellent reviews. She organized 4 workshops on TLS and errors-in-variables modeling, attracting 70 scientists from diverse disciplines to Leuven, Belgium (1991, 1996, 2001, 2006), which resulted in 2 edited books (SIAM,1997) and (Kluwer, 2002)1 and 2 special issues (Signal Processing 2007, Computational Statistics & Data Analysis 2007).
- Numerical tensor algorithms for biomedical multimodal and multichannel data processing including applications in EEG-fMRI and MRSI-MRI integration. A major leap forward here was achieved in 2014-2019 when Sabine Van Huffel was awarded an ERC advanced grant BIOTENSORS (no. 339804) of 2,5 milion euro, entitled "Biomedical Data Fusion using Tensor based Blind Source Separation". Together with her team, she developed a general functional framework for solving tensor based blind source separation (BSS) problems in biomedical data fusion, using tensor decompositions (TDs) as basic core. These TDs allow the extraction of fairly complicated sources of biomedical activity from fairly complicated sets of uni- and multimodal data. Significant progress has been made on the development of algebraically and numerically well-founded tensor techniques for BSS, including the Canonical Polyadic Decomposition (CPD) and Block Term Decomposition (BTD) and their extensions involving block terms, various constraints, source models and heterogeneous coupled data sets. Tensorlab efficiently implements the above algorithms (see http://www.tensorlab.net/). Its user friendliness has improved significantly by simplifying model construction and adding demos and Matlab-based GUIs for CPD and data compression use and tensor-based biomedical BSS. These improvements greatly facilitate non-expert usage and allow to face current grand challenges in biomedical data fusion. Various tensor-based approaches, all efficiently implemented in Tensorlab, have been applied successfully in diverse biomedical BSS problems in ECG, EEG, and MRSI signal processing. The added value of BTD versus CPD to detect seizure patterns evolving in space or frequency was proven. In addition, the power of tensor-based approaches in abnormal heartbeat detection using ECG has been shown. The added value of coupled matrix-tensor factorisations (CMTF) is shown in epileptic EEG-fMRI: the sources corresponding to the onset (spike) and propagation (slow wave) can be separated, enabling to better localize the seizure onset zone. By adding a Toeplitz factor, CMTFs allow to perform both BSS (estimation of spatial-temporal-spectral activations) but also blind system identification (estimation of neurovascular coupling or transfer function between modalities). More information on the research, publications and software is available on the project website
- In decision making, a variety of powerful algorithms have been developed based on least squares (LS) support vector machines and neural networks (NN), ranging from classical multilayer perceptrons to convolutional neural networks (CNNs) as used in deep learning. Significant contributions to medical diagnostics, e.g. seizure detection, neonatal monitoring, ovarian & brain cancer diagnosis, have been shown. Recently, our epileptic seizure detection pipeline fusing multiview deep NNs, was awarded the first place in the Neureka 2020 Epilepsy Challenge, see https://neureka-challenge.com/results/, and best paper award.
- Medical decision support now requires an ingenious combination of all above-mentioned tools, starting from an adequate pretreatment of the data (e.g. artefact removal), feature selection, pattern recognition, decision making, up to their embedding into user-friendly user interfaces. Many of these tools have been implemented in Matlab and are freely available.
- Applications are oriented towards both ambulatory and in-hospital smart patient monitoring and decision support based on (multimodal) biomedical data fusion (e.g. multichannel EEG, ECG, EMG, accelerometry, polysomnography, audio, video ...). In close collaboration with UZ Leuven, multiple decision support tools have been developed in various fields such as epilepsy monitoring, sleep and neonatal brain monitoring, cancer diagnostics, Magnetic Resonance Spectroscopic (MRS) and MRS Imaging (MRSI), cardiovascular dynamics and heart-rate variability analysis, event-related potential (ERP) analysis, and stress monitoring. In particular, the widely used AMARES[1] software is nowadays a standard technique for long echo-time MRS quantification.
[1] L. Vanhamme, A. Van Den Boogaart, S. Van Huffel, Improved method for accurate and efficient quantification of MRS data with use of prior knowledge. J. Magn. Resonance, vol.129, no.1, p.35-43, 1997, has 1649 scholar-google citations
University Degrees:
- July 1981: Master of Science in Computer Science Engineering, KU Leuven, Univ. of Leuven, Belgium.
- September 1981: Licensed teacher in Higher Secondary Education, KU Leuven, Univ. of Leuven, BE.
- July 1985: Postgraduate degree in Biomedical Engineering, KU Leuven, University of Leuven, Belgium.
- June 1987: Ph.D. in Electrical Engineering, Dept. of Electrical Engineering, KU Leuven, Summa cum laude.
Professional Experience:
- Oct. 1 2020: Professor Emerita with duties: supervision of Ph.D. research, coordination of ongoing projects and follow-up of the implementation of the new Biomedical Engineering Educational programmes
- 2014-present: Distinguished professor at Eindhoven University of Technology, Eindhoven, The Netherlands
- 2002-2020: Full professor, Department of Electrical Engineering (ESAT), Division STADIUS, KU Leuven, and head of biomedical data processing research group (including approximately 3 staff members, >30 PhD students, 4 postdocs).
- 1998-2002: Professor (part-time till Oct.1,2000), Dept. of Electrical Engineering (ESAT), KU Leuven, BE
- 1999–2000: Research director Research Foundation Flanders (F.W.O.), BE
- 1995-1998: part-time associate professor, Department of Electrical Engineering (ESAT), KU Leuven, BE
- 1991-1999: research associate Research Foundation Flanders (F.W.O.), BE
- 1993-1995: part-time assistant professor, Department of Electrical Engineering (ESAT), KU Leuven, BE
- 1987-1991: postdoctoral researcher Research Foundation Belgium (F.W.O.), BE
- 1983-1987: PhD student, Department of Electrical Engineering (ESAT), KU Leuven, Belgium
- 1981-1983: scientific researcher, Faculty of Medicine, KU Leuven, BE
Visiting Positions:
- Oct.-Nov. 2000: Guest professor, Dept. Computer Sciences, Stanford University, CA (host: Gene Golub)
- May-June 2004: Guest professor, Dept. Systems & Control, Uppsala University, Sweden (host: P. Stoica)
- June-Aug. 1992: Visiting fellow, ARHPRC, Univ. of Minnesota, Minneapolis, U.S.A. (host: Haesun Park)
- April-May 1993: Visiting scientist, Computer Science Dept., University of Minnesota, Minneapolis, U.S.A.
Positions in International Societies:
- 2000-2020: Head BIOMED (Biomedical data processing) research group, ESAT: 3 staff members, 4 postdocs, > 30 PhD students.
- Programme Director of Biomedical Engineering Education at KU Leuven, KU Leuven from August 1, 2016, till August 2020.
- Honorary Doctorate at Eindhoven University of Technology: April 25, 2013.
- Distinguished Professor at Eindhoven University of Technology: January 1, 2014 – January 1, 2022
- 2005-2009: Rectorial advisor for equal opportunities and Diversity. In this capacity she has taken various initiatives. for attracting more female students to engineering.
- Member of the SIAM Fellows Selection Committee (2017-2018)
- Member of the IEEE Fellows Selection Committee (2016-2020)
- Chair (2011-2013) & Panel member (since 06) Commission Informatics & Knowledge Technology FWO
- Member Householder Prize Committee ('02-'11): selects 3-yearly best PhD in numerical linear algebra
- Member Barco and IBM Prize committees (annual selection best master thesis and best PhD thesis)
- Cofounder and treasurer IEEE-EMBS Benelux Chapter (2005-2020)
- President (2011) and steering committee member (since 2006) of ISOTT
- Member National Committee on Biomedical Engineering, IEEE, ISMRM, ESMRMB, EURASIP, SIAM
- Chair Numerics-in-Control NICONET International Society & editor NICONET reports (1998-2005).
The NICONET Society was the result of international cooperation among leading numerical algebra and control numerics experts within an EU thematic network, also called NICONET, which continued afterwards for many years till today. S. Van Huffel has been the chairperson of NICONET from 1991 till 2005. Its main activity was the development of quality control-application software that performs efficiently and reliably on modern computers using the subroutine library SLICOT (Subroutine Library in Systems and Control Theory) as example. The SLICOT library was licensed to Mathworks. Its routines (in total more than 570 at present) are partly incorporated in Matlab from release 7 on and improve the computational efficiency of equivalent Matlab functions significantly, often by orders of magnitude, especially in toolboxes for system identification and control. See http://slicot.org/ - Member Editorial board of EURASIP J. Signal Process. and Bioinformatics (since 2005), Springer J. Signal, Image and Video Process. (since 2006), Numer. Lin. Alg. with Appl. (2004-2010), EURASIP J. on Signal Process. (2003 -2005), Numer. Algor. (1995-2012), SIAM J. Matrix Anal. and Appl. (1996-2005).
Invited presentations:
55 in total in 2004-2021. The most important ones since 2015 are:
- "Machine learning in neonatal brain monitoring", Invited webinar, 12th International Newborn Brain conference Series, Digital Diagnostics for the Developing Brain, May 20, 2021. More than 200 participants expected.
- Challenges in neonatal monitoring. Invited Seminar, Stadius Center for Dynamical Systems, Signal Processing, and Data Analytics, Department of Electrical Engineering (ESAT), KU Leuven, Belgium, December 2, 2020. More than 80 participants.
- "Challenges in neonatal EEG monitoring" and "Cerebral autoregulation techniques using NIRS". Two Invited talks, 9th International Summer School in Biomedical Engineering: Noninvasive dynamic brain imaging in infants, children, and adults, August 05 - 11, 2020, Erfurt, Germany. More than 60 participants.
- Blind source separation. Invited speaker, ANT Neuro meeting, 29th edition, January 15-18, 2020, Beaunes, France. More than 150 participants.
- Challenges in Neonatal Brain Monitoring, Keynote Talk, 41st Annual Symposium of the IEEE Engineering in Medicine and Biology Society, Berlin, July 23-27, 2019
- Biomedical data fusion using tensor-based blind source separation. Keynote Talk, EURASIP Summer School on Tensor-based Signal Processing, Leuven, August 27-31, 2018.
- Classification Tools for MRS of Cancer. Invited speaker, Joint meeting ISMRM-ESMRMB, Paris, France, June 16-21, 2018.
- The Power of Low Rank Tensor Approximations in Smart Patient Monitoring. Keynote Speaker, European Signal Processing Conference (EUSIPCO 2017), Kos, Greece, August 28-September 2, 2017.
- Automated MR Spectra Classification for diagnostic support: tools and applications. Invited speaker, Annual meeting ESMRMB, Vienna, September 29-October 1, 2016.
- The Power of Low Rank Matrix and Tensor Approximations in Smart Diagnostics. Workshop on Low Rank Optimisation and Applications, June 8-12, 2015, Haussdorf Center for Mathematics, Bonn, DE.
- The Power of Matrix and Tensor decompositions in ECG Monitoring. International Conference on Basic and Clinical Multimodal Imaging (BaCi), September 1-4, 2015, Domkerk, Utrecht, NL.
- The Power of Matrix and Tensor decompositions in Smart Patient Monitoring. Keynote talk SIAM Conference on Computational Science and Engineering (CSE15), March 14--18, 2015, Salt Lake City, Utah (1800 participants)
Organisation of international conferences:
16 in period 2003-2020. The most important ones are listed below.
- Chair IEEE-EMBS Benelux chapter symposium ``Artificial Intelligence In Healthcare’’, Leuven, Belgium, November 28-29, 2019.
- Chair EURASIP Summer school on Tensor-based Signal Processing, August 27-31, 2018
- Chair International Workshop Tensor Decompositions and Applications, Jan. 18-22, 2016
- Member organizing Committee SIAM Conf. Applied Linear Algebra (LA15), Atlanta, USA, Oct.26-30, 2015.
- Member organizing committee Householder XIX Symposium, Spa, Belgium, June 8-13, 2014.
- Chair (Bruges, BE, August 19-24, 2012), member programme committee (Ascona, July 18-23, 2010) & steering committee (since 2006) of annual meeting Int. Society on Oxygen Transport to Tissue (ISOTT).
- Programme chair Int. Conf. on Bio-inspired Systems and Signal Processing, subconf. of 5th Int. Joint Conf. on Biomedical Eng. Systems and Technologies (BIOSTEC), Algarve, Portugal, Feb.1-4, 2012.
- Member programme and Organizing Committee European Congress of the International Federation for Medical and Biological Engineering (MBEC 2008), Antwerp, Belgium, Nov. 23-27, 2008
- Chair 4th Int. workshop "TLS and Errors-in-Variables Modeling", Leuven, BE, Aug. 21-23, 2006.
- Co-chair 4th workshop of ERCIM Working Group on "Matrix Computations and Statistics" jointly with 1st Int. workshop on "Numerical Linear Algebra and its Applications", Monopoli, Sept.22-24,2003.
- Co-organizer XXI summer School of Computational Mathematics, Monopoli, Italy, Sept. 15-20, 2003.
Current research team
Biography
- International Study Programme in Statistics, KU Leuven: propaedeutic course in Calculus, linear algebra and statistics & advanced course in Errors-in-Variables Modeling (1998-2007).
- M. S. Electrical Engineering, KU Leuven: 2 courses in Biomedical Data Processing (2002-2007).
- M.S. Biomedical Engineering, KU Leuven: “Biomedical Data Processing” (2002-2020), "Biomedical Data Processing, Part II" (2010-2020), “Design in Medical Technology” (2007-2020), "Industrial internship" (2010-2020).
- M.S. Bioengineering, KU Leuven: "Human Health Data Processing" (2012-2020).
- PhD courses: "numerical methods in biomathematics" at Stanford University, USA (fall 2000), Graduate School of Systems and Control, KU Leuven (winter 2000), Uppsala University, Sweden (May-June 2002) and at the ESAT Laboratory, KU Leuven (January 2005).
(Co)supervisor of 71 finished PhDs and 11 ongoing PhDs: mostly all interdisciplinary in cosupervision with medical colleagues. Postdocs give support through daily supervision. In addition, she mentored more than 30 postdocs since 1994. Graduates include research lab/faculty members in respectable institutions (TU Delft, Univ. of Oxford, Univ. Georgia Tech, Univ. Southampton, Univ. Kiev, Univ. of Sydney, Univ. Picardie, Univ. Wales, Univ. Jakarta, Univ. of Oldenburg, IMEC, CNR Bari, Sony, Philips Medical Systems, Alcatel). Ivan Markovsky, former PhD and postdoc and now professor at Brussels free University (VUB) in Belgium, got 2nd Householder prize (honourable mention) in 2008.
Finished projects
- Glioma progression evaluation
- Nano4Sports
- Distributed signal processing algorithms for auditory attention detection with chronic EEG sensor networks
- Predictive computer models for medical classification problems based on patient data and expert knowlegde
- Prevalentie van epilepsie en slaapstoornissen in de ziekte van Alzheimer.
- 3D MRSI-nosologic imaging - Fast multi-modal imaging for diagnosis and therapy assessment of tumour patients
- Accelero/epilepsie - Detection of nocturnal epileptic convulsions in pediatric patients based on accelometers.
- AMACS - Automatische monitoring van activiteiten van het dagelijks leven dmv contactloze sensoren
- AMBioRICS - Algorithms for Medical and Biological Research, Integration, Computation and Software
- AMPHORA - ACOUSTIC MARKERS FOR ENHANCED REMOTE SENSING OF RADIATION DOSES
- Autism - Autism: from phenotype to genotype. The use of phenotypical and neurobiological data in understanding the genetic structure of autism.
- BIOPATTERN - Computational intelligence for biopattern analysis in support of e-Healthcare.
- BIOTENSORS - Biomedical Data Fusion using Tensor based Blind Source Separation
- Brain Oxygenation - Non Invasive Brain Oxygenation
- C2 Project - The effect of perinatal stress on the later outcome in preterm babies
- CARDIOCONTROL - "Alterations in autonomic cardiovascular control induced at partial G forces CardioControl"
- Compact representation of biomedical sig - Compact representation of biomedical signals
- CSE - Community Service Engineer
- DYSCO I - Dynamical systems, control and optimization
- DYSCO II - Dynamical systems, control and optimization
- e-Tumour - Web Accessible MR Decision Support System For Brain Tumour Diagnosis And Prognosis, Incorporating In Vivo and Ex Vivo Genomic and Metabolomic Data
- EEG-epilepsy - Advanced EEG analysis techniques for epilepsy monitoring.
- EEG-fMRI - Advanced algorithms for integrated EEG-fMRI data processing
- EEG-fMRI-integration - Integration of the electro-encephalogram and functional magnetic resonance imaging in the study of cognitive processes and disturbances.
- EG-PDT-COIL - Research and development of an intelligent power and data transmission coiled tubing for the exploration of hydrocarbons.
- Electric stimulation in the brain cavity - Electric stimulation in the brain cavity wall to reduce its associated symptoms. A generic approach applied in central post-stroke pain.
- ERASMUS-BIODESIGN - Life long learning programme ERASMUS Multilateral action: BIODESIGN - Biodesign for health applications
- EU-RECAP - Regional Care Portals : Telehealth for Patients with Long Term Conditions
- eWatch - Extensive Personal Monitoring & Watch Platform
- FAIR - AI Research Program
- FallRisk - Intelligent services in view of prevention, risk evaluation and detection of fall incidents
- FAST - Advanced Signal Processing for Ultra Fast Magnetic Resonance Spectroscopic Imaging and Training
- Flanders BCI lab - High-end, modular EEG equipment for Brain Computer Interfacing (Flanders BCI Lab)
- HealthAgents - Agent-based Distributed Decision Support System for Brain Tumour Diagnosis and Prognosis
- HIP trial - Management of Hypotension In the Preterm Extremely Low Gestational Age Newborn
- IDO - Predictive computer models for medical classification problems based on patient data and expert knowledge
- iMinds SBO dotatie - iMinds Medical Information Technologies- SBO (dotatie)
- INFANS - INtegrating Functional Assessment measures for Neonatal Safeguard
- INGDIVS - Increasing Gender Diversity in STEM
- Innovatiemandaat-Diana Sima - Biomedical diagnosis platform for magnetic resonance spectroscopy and spectroscopic imaging services
- INSPiRE-MED - Integrating Magnetic Resonance Spectroscopy and Multimodal Imaging for Research and Education in MEDicine
- Interpret - Pattern recognition of tumours using magnetic resonance
- IOTA 3 Ovarian tumour characterisation - Multicentre prospective assessment study on the pre-operative characterisation of ovarian tumours based on predictive computer models
- MaNet - Mathematical engineering tools for Networks: Data driven mining, identification, control and optimization
- Mars parabolic - Alterations in autonomic cardiovascular control induced at partial G forces in a Mars500 crew
- MIPS - Engineering concepts and mathematics for model-based information processing systems MIPS
- MRSI - Development of algorithms for the automatic processing of signals obtained from Magnetic Spectroscopic Imaging (MRSI) experiments
- Multimodal - Data fusion of multimodal information using advanced signal processing, segmentation and registration techniques
- NeoGuard - NeoGuard: a neonatal EEG monitor with real-time, bedside data visualization and automated decision support
- Neuromath - Advanced Methods For The Estimation Of Human Brain Activity And Connectivity
- NXP - NXP- Signal processing for massive parallel single-molecule detection
- NXT_SLEEP - Next generation sleep monitoring platform
- OPTEC I - Optimization in Engineering
- Optec II - Optimization in Engineering Center
- OSA+ - Multimodal Signal Analysis for Unobtrusive Characterization of Obstructive Sleep Apnea (OSA+)
- PCA-ICA-PFA - combinatie van principale componenten analyse, onafhankelijke componentenanalyse en parallelle factor analyse
- PREEMIE - CARTAGENIA - PREEMIE-revolutionaire EEG-gebaseerde diagnostiek voor prematuren
- PRODEX - Alterations in sleep homeostasis , autonomic nervous system and cortical plasticity induced by simulated microgravity
- Prodex-Cardio - Cardiovascular autonomic control and hemodynamics: a comparison between long and short durations space missions.
- SeizeIT - Discrete personalized epileptic seizure detection
- SeizeIT2 - Discreet personalized epileptic seizure detection device
- SmartCare - Smart Care
- SPARKLE - Sensor-based Platform for the Accurate and Remote monitoring of Kinematics Linked to E-health (SPARKLE)
- Spectral Analysis - Numerical tensor techniques applied to spectral analysis
- STLS - Non-linear Lp approximation problems : analysis, algorithms and applications
- Sudden cardiac death SCD - Development of methods and tools for ambulatory electrocardiographic signal processing and analysis.
- SVM and kernel methods - Support Vector Machines and Kernel Based Learning: Advanced Algorithms
- SVM-Theory - Support vector machines and kernel methods : theory, algorithms and applications
- TARGID - Development of a novel diagnostic medical device to assess gastric motility
- TELE-REHAB III - Telemonitoring tijdens fase II en fase III van een cardiaal revalidatieprogramma
- Transact - Transforming magnetic resonance spectroscopy into a clinical tool
- Vascular Brain Accident - Development of methods and tools for continuous EEG monitoring in Intensive Care Units in case of vascular brain accidents.
Awards
- EURASIP Group Technical Achievement Award
- 2020 Annual National Award of the Cuban Academy of Sciences
- CITMA Award
- Senior author of the Best paper award of the Neureka-challenge
- First prize winner of the Neureka 2020 Epilepsy Challenge
- "Gouden krijtje" award "Proffencrush" in Biomedical Engineering 2018-2019
- Outstanding Reviewer Award 2018: Best reviewer in 2018 for the Journal Physiological Measurement
- "Gouden krijtje" award "Beste Prof" in Biomedical Engineering 2017-2018
- Co-author of Best poster award 3rd Prize, 16th National Day on Biomedical Engineering, Royal Academies for Science and The Arts of Belgium, Brussels, December 1 2017
- Co-author of the Brain Products MoBI Award 1st Prize, Annual symposium of SPR (Society for Psychophysiological Research), Vienna, October 11-15, 2017
- Member of the Royal Flemish Academy of Belgium for Sciences and the Arts since October 2017
- Co-author of Best poster award 2nd Prize, 10th International Conference on Brain Monitoring and Neuroprotection in the Newborn, Killarney, Ireland, Oct. 5-7, 2017
- Co-author of Best Oral Presentation award 3rd Prize, 10th International Conference on Brain Monitoring and Neuroprotection in the Newborn, Killarney, Ireland, Oct. 5-7, 2017
- "Gouden krijtje" award "Beste Prof" in Biomedical Engineering 2016-2017
- Nominated for the 2016 Inspirational Women Engineers award
- Nominated for the 2016 Inspirational Women Engineers award at the Department of Engineering in Cambridge, UK
- SIAM Fellow since Jan. 2016.
- Winner of phase II and 3rd place in phase III of the Physionet-Computing in Cardiology Challenge 2014
- Prof. dr. ir. Sabine Van Huffel has been granted an ERC Advanced Grant
- Best Reviewer 2014 award of IEEE Journal of Biomedical and Health Informatics
- Recipient of an honorary doctorate from Eindhoven University of Technology, The Netherlands, on 25 April 2013
- EAMBES Fellow, European Alliance for Medical and Biological Engineering And Science, since Jan. 2012
- SmartCare interdisciplinary project - BIR&D award
- Sabine Van Huffel has been nominated president of ISOTT as of July 27 2011 until August 24 2012
- Martin Black award 2010 for best article published in Physiological Measurement
- IEEE Fellow since Jan 2009
- Nominated for the Cera senior award in September 2009 (Social engineer)
- Various best paper and poster awards
Editorship
- Oxygen Transport to Tissue XXXV Series: Advances in Experimental Medicine and Biology, Vol. 789 Van Huffel, S.; Naulaers, G.; Caicedo, A.; Bruley, D.F.; Harrison, D.K. (Eds.) 2013, XXX, 507 p. 170 illus., 74 illus. in color.
- editor Biosignals 2012: Proceedings of the International Conference on Bio-inspired Systems and Signal Processing, Vilamoura, Algarve, Portugal, February 1-4, 2012, SciTePress, ISBN: 978-989-8425-89-8.
- Editor Oxygen Transport to Tissue XXXIII, Springer, New York, 322 pp., Book Series: Adv. Exp. Med. Biol. 2012, Vol. 737.
- Guest editor Special issue: Neuromath, Biomedizinische Technik Biomedical Engineering, Vol. 55, number 3, 2010, pp. 121-192.
- Guest editor for Linear Algebra and its Applications (volume 391, 2004)
- Editor Kluwer A.P. book: Total Least Squares and Errors-in-Variables Modeling: Analysis, Algorithms and Applications
- Editor SIAM book: Recent Advances in total least squares techniques and error-in-variables modeling
- Guest editor for NMR in Biomedicine (vol. 14, no.4, June 2001)
- Guest editor for Numerical Linear Algebra with Applications (volume 12, issue 8, 2005)
- Guest editor for Signal Processing (Vol. 87, issue 10, 2007)
- Guest editor for Computational Statistics and Data Analysis (Vol. 52, 2007)
- Guest editor for Advances in Signal Processing (Vol. 2007, 2007)
Membership
- Programme Director of Biomedical Engineering Education at KU Leuven from August 2016 till August 2020
- Member of the SIAM Fellows Selection Committee from June 2016 till June 2018
- Member of the IEEE Fellows Selection Committee from February 2015 till November 2019
- Distinguished Professor at Eindhoven University of Technology from January 2014 till January 2022
- Honorary Doctorate at Eindhoven University of Technology since April 2013
- Chair Commission Informatics And Knowledge Technology FWO from January 2011 till December 2013
- President of ISOTT from January 2011 till December 2011
- Member editorial board the Springer journal Signal, Image and Video Processing (Editor-in-chief: Murat Kunt) since April 2006
- Panel Member Commission Informatics And Knowledge Technology FWO since January 2006
- Steering committee member of ISOTT since January 2006
- Member of the editorial board of the EURASIP journal on Signal Processing and Bioinformatics (Editor-in-chief: Ioan Tabus) since August 2005
- Rectorial advisor for equal opportunities and Diversity from January 2005 till December 2009
- Cofounder and treasurer IEEE-EMBS Benelux Chapter from January 2005 till December 2020
- Member of the editorial board of Numerical Linear Algebra with Applications (Editor-in-chief: Owe Axelsson) from June 2004 till January 2010
- Member of the editorial board of the EURASIP journal on Signal Processing (Editor-in-chief: Bjorn Ottersten) from July 2003 till July 2005
- Member Householder Prize Committee from January 2002 till December 2011
- Head BIOMED (Biomedical data processing) research group, ESAT from January 2000 till September 2020
- Chair Numerics-in-Control NICONET International Society And editor NICONET reports from January 1998 till December 2005
- Member of the editorial board of SIAM Journal on Matrix Analysis and Applications (Editor-in-chief: Henk van de Vorst) from January 1996 till December 2005
- Member of the editorial board of Numerical Algorithms (Editor-in-chief: Claude Brezinski) from October 1995 till December 2012
Publications
301 Moved Permanently
Contact information
- Office: B00.13
- Address:
ESAT
Kasteelpark Arenberg 10, bus 2446, B-3001 Leuven, Belgium - Tel: +321621703
- Fax: 2 19 70
- Email: Sabine.VanHuffel@esat.kuleuven.be