Sabine Süsstrunk
EPFL IC IINFCOM IVRL
BC 328 (Bâtiment BC)
Station 14
1015 Lausanne
Web site: Web site: https://ivrl.epfl.ch/
Web site: Web site: https://ssc.epfl.ch
Web site: Web site: https://sin.epfl.ch
Fields of expertise
Computational photography, Computational imaging, Image processing, Computer vision, Machine Learning, Computational image quality and aesthetics
Biography
Prof. Dr. Sabine Süsstrunk leads the Image and Visual Representation Lab in the School of Computer and Communication Sciences (IC) at EPFL since 1999. From 2015-2020, she was also the first Director of the Digital Humanities Institute (DHI), College of Humanities (CdH). Her main research areas are in computational photography, computational imaging, color image processing and computer vision, machine learning, and computational image quality and aesthetics. Sabine has authored and co-authored over 200 publications, of which 7 have received best paper/demo awards, and holds over 10 patents.Sabine served as chair and/or committee member in many international conferences on image processing, computer vision, and image systems engineering. She is President of the Swiss Science Council SSC, Founding Member and Member of the Board (President 2014-2018) of the EPFL-WISH (Women in Science and Humanities) Foundation, Member of the Board of the SRG SSR (Swiss Radio and Television Corporation), and Member of the Board of Largo Films. She received the IS&T/SPIE 2013 Electronic Imaging Scientist of the Year Award for her contributions to color imaging, computational photography, and image quality, and the 2018 IS&T Raymond C. Bowman and the 2020 EPFL AGEPoly IC Polysphere Awards for excellence in teaching. Sabine is a Fellow of IEEE and IS&T.
The Lab and Current Work
For our current work and collaborators, please browse our lab website at https://www.epfl.ch/labs/ivrl/Publications
Infoscience publications
Teaching & PhD
Teaching
Communication Systems
Computer Science
PhD Students
Everaert Martin Nicolas, Li Shuangqi, Lu Liying, Pajouheshgar Ehsan, Ren Yufan, Vernikos Georgios, Wang Dongqing, Xu Yitao,Past EPFL PhD Students
Achanta Radhakrishna , Arpa Mahmut Sami , Arvanitopoulos Darginis Nikolaos , Aydemir Bahar , Collins Edo , El Helou Majed , Impett Leonardo Laurence , Jin Bin , Lindner Albrecht Johannes , Liu Chen , Marguier Joanna , Sadeghipoor Kermani Zahra , Salamati Neda , Shahpaski Marjan , Yildirim Gökhan , Zhou Ruofan ,Courses
Computational photography
The students will gain the theoretical knowledge in computational photography, which allows recording and processing a richer visual experience than traditional digital imaging. They will also execute practical group projects to develop their own computational photography application.