Professor of Statistical Signal Processing, Univ. Grenoble Alpes, Institut Universitaire de France (

Professor Christian Jutten received Ph.D. and Doctor es Sciences degrees in signal processing from Grenoble Institute of Technology (GIT), France, in 1981 and 1987, respectively. From 1982, he was an Associate Professor at GIT, before being Full Professor at University Joseph Fourier of Grenoble, in 1989. Since 80’s, his research interests have been machine learning and source separation, including theory (separability, source separation in nonlinear mixtures, sparsity, multimodality) and applications (brain and hyperspectral imaging, chemical sensor array, speech). He is author or coauthor of more than 110 papers in international journals, 4 books, 27 keynote plenary talks and about 235 communications in international conferences.

He has been visiting professor at Swiss Federal Polytechnic Institute (Lausanne, Switzerland, 1989), at Riken labs (Japan, 1996) and at Campinas University (Brazil, 2010). He was director or deputy director of his lab from 1993 to 2010, especially head of the signal processing department (120 people) and deputy director of GIPSA-lab (300 people) from 2007 to 2010. He was a scientific advisor for signal and images processing at the French Ministry of Research (1996–1998) and for the French National Research Center (2003–2006 and since 2012) . He has strong cooperations with Iranian scientists since 1996, and among the 55 PhD students he supervised, 11 are Iranian!  

Christian Jutten was organizer or program chair of many international conferences, especially of the 1st International Conference on Blind Signal Separation and Independent Component Analysis in 1999 (ICA’99). He has been a member of a few IEEE Technical Committees, and currently in “ SP Theory and Methods” of the IEEE Signal Processing society. He received best paper awards of EURASIP (1992) and of IEEE GRSS (2012), and Medal Blondel (1997) from the French Electrical Engineering society for his contributions in source separation and independent component analysis. He was elevated as IEEE fellow (2008), EURASIP fellow (2013) and as a Senior Member of Institut Universitaire de France since 2008. He was the recipient of a 2012 European Research Council Advanced Grant for the project Challenges in Extraction and Separation of Sources (CHESS). In 2016, he was awarded one Grand Prix of the French Académie des Sciences for his scientific contributions.



Title: A Guided Tour of Source Separation : From Vertebrate Motion Decoding to Biomedical Applications.


Abstract: The problem of source separation have been formalized in 80’s for modeling how motion of a joint are coded in vertebrates. Then, the problem has been intensively investigated and became very popular in signal processing  and neural networks communities. Theoretical fundations have been built along the last fourty years, providing a very solid tools with many efficient algorithms, which can be used for many applications in various domains, like communications, remote sensing, speech enhancement, image processing, brain imaging, chemical and biomedical engineering. In this talk, I will present a comprehensive but simple guided tour of source separation principles, that I will illustrate with selected examples from biomedical engineering.




Professor José Javier Serrano Olmedo

Professor José Javier Serrano Olmedo, Director of Lab of Bioinstrumentation and Nanomedicine of Technical University of Madrid (Universidad Politécnica de Madrid)


Professor José Javier Serrano Olmedo got his degree in Telecommunication Engineering in 1990 and his PhD. in Telecommunication Engineering in 1996 at the Engineering School on Telecommunication (Escuela Técnica Superior de Ingeniería de Telecomunicación,, at the Technical University of Madrid,, (Universidad Politécnica de Madrid, UPM). He teaches on Electronic Instrumentation, Bioinstrumentation, Biosensors, Technologies for Nanomedicine, Human Computer Interfaces, Electronic Health Records and Clinical Engineering as Associate Professor since 1998 at the Technical University of Madrid. He is the Academic Secretary of the Doctorate Program on Biomedical Engineering ( and Director of the Master on Clinical Engineering, an academic joint agreement between UPM and Westfield Business School ( He is a fellow member of the Networking Center for Biomedical Research on Bioengineering, Biomaterials and Nanomedine,, of the Center for Biomedical Technologies at UPM (CTB-UPM),, and of the Spanish Society of Biomedical Engineering, He has devoted his researcher career to the instrumentation field having worked on semiconductor materials characterization, sensor networking and seismic instrumentation among others, although now he is focused on the biomedical technology development. He is heading the Laboratory of Bioinstrumentation and Nanomedicine, a CTB-UPM department, and is member of the Life Supporting Technologies Group,, of the same university. The research lines being followed in this laboratory are mainly the technologies for nanomedicine, mainly by means of nanoparticles, the development of gravimetric biosensors (QCR) and electromedicine equipments, in particular objective audiometric systems, and accessible and assistive technologies based on serious games, virtual and augmented reality technology (eGLANCE:


Title: Trends in Biomedical Engineering: some examples from the Center for Biomedical Technology at the Technical University of Madrid


Abstract: During the last decades, diverse technologies have matured so much that they offer an immense range of possibilities to provide new solutions from engineering to the challenges of modern medicine. These technologies have led to the emergence of the concept of personalized medicine, probably the most disruptive one currently in the field of health. Many lethal diseases, precisely the most "objective" because they depend little on the nature of the patient, are being overcome and although there are threats such as microbial resistance to antibiotics, there is also the conviction that they can be overcome as they already were, even if they remain challenges to be achieved. However, chronic diseases, precisely the most subjective in the sense that they are those that depend most on the unique characteristics of each person, are linking the mature age with old age in a vital continuum from the medical point of view where the maintenance and Improvement of health (in which there is always some problem to control) gain strength as objectives to achieve against the traditional concept of defeat of the disease. This approach also supposes a socio-economic challenge at a social and vital level for each person since the way in which society is organized, and the way in which each individual is integrated into it, must be rethought. At the Center for Biomedical Technology of the Polytechnic University of Madrid, several specific cases of application of such related technologies, mainly for cancer, cognitive impairment (especially Alzheimer's and Parkinson's disease), promotion of active and healthy aging and support for the disabled are investigated