EPFL is one of Europe’s top technical universities. It welcomes students, professors and collaborators of more than 120 nationalities. The Ecole Polytechnique Fédérale de Lausanne is an engineering college active in education and research. It covers disciplines ranging from the Basic Sciences to Engineering, Architecture and the Life Sciences. EPFL is a public institution founded in 1969, mainly funded by the Swiss Confederation.
EPFL collaborates with an important network of partners, including other universities and colleges, secondary schools and gymnasiums, industry and the economy, political circles and the general public, with the aim of having a real impact on society.
Team members
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Jean-Philippe Thiran was born in Namur, Belgium, in August 1970. He received the Electrical Engineering degree and the PhD degree from the Université catholique de Louvain (UCL), Louvain-la-Neuve, Belgium, in 1993 and 1997, respectively. His PhD thesis was supervised by Prof. Benoît Macq.
Dr Jean-Philippe Thiran joined the Signal Processing Institute (ITS) of the Swiss Federal Institute of Technology (EPFL), Lausanne, Switzerland, in February 1998 as a senior lecturer. From 2004 to 2011 he was an Assistant Professor (tenure track), responsible for the image analysis group (LTS5). In a few years he has built a research team of some 20 researchers, both PhD students and post-docs, active in various areas of signal, image and multimodal data analysis. In March 2011 Dr Thiran has been promoted to Associate Professor and since June 2020 he is a Full Professor. He also holds a 20% associate professor position with the Department of Radiology of the University Hospital Center and University of Lausanne (CHUV-UNIL).
The scientific interests of Prof. Thiran include:
* Computational medical imaging: Acquisition, reconstruction and analysis of imaging data, with emphasis on regularized linear inverse problems (compressed sensing, convex optimization). Applications to medical imaging: diffusion MRI, ultrasound imaging, inverse planning in radiotherapy, etc.
* Computer vision: image and video analysis, with application to facial expression recognition, eye tracking, lip reading, industrial inspection, medical image analysis, etc.
Prof. Thiran is author or co-author of several book chapters, many journal papers and peer-reviewed papers published in proceedings of international conferences. He holds 9 international patents.
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Dr. Daniel Faltin is a gynecologist-obstetrician specialized in urogynecology. Trained within the university hospitals of Geneva, he acquired expertise in gynecological and urogynecological surgery under the guidance of Professors Krauer, Dubuisson, Meyer, and Doctors Weil and Megevand, in Geneva and Morges. He further strengthened his skills by obtaining university diplomas in urodynamics and coloproctology in Paris and London. After leading the urodynamics consultation and developing the perineology unit within the gynecology department of the Geneva university hospitals, he co-founded and now directs the private perineology center Dianuro.
His research focuses on the diagnosis of perineal injuries and the prevention of incontinence. These projects have received funding from the Swiss National Science Foundation.
Dr. Faltin is a member of several international medical societies, including the International Continence Society (ICS), the International Urogynecological Association (IUGA), and the Société Internationale Francophone d’Urodynamique et Pelvi-Périnéologie (SIFUD-PP). He currently serves as president of AUG, the urogynecology association of the Swiss Society of Gynecology and Obstetrics.
A specialist in the treatment of incontinence and genital prolapse, he promotes a comprehensive, multidisciplinary approach centered on the specific needs of each patient. He favors a reasoned, minimally invasive therapeutic strategy and offers the full range of specialized vaginal, laparoscopic, and robotic surgery tailored to the demands of each intervention.
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Camille Cathala is a research scientist at EPFL, in the Signal Processing Laboratory (LTS5). She received her Bachelor degree in Physics from EPFL in 2022 and her Master degree in Data Science from EPFL in 2024. Her research focuses on image analysis and machine learning techniques for medical applications.