Lecturers

Lecturers

Ivo Ihrke is a professor of Computational Sensing at University of Siegen, Germany. Prior to joining Siegen, he was a staff scientist at the Carl Zeiss research department, which he joined on-leave from Inria Bordeaux Sud-Ouest, where he was a permanent researcher. At Inria he lead the research project “Generalized Image Acquisition and Analysis” which was supported by an Emmy-Noether fellowship of the German Research Foundation (DFG). Prior to that he was heading a research group within the Cluster of Excellence “Multimodal Computing and Interaction” at Saarland University. He was an Associate Senior Researcher at the MPI Informatik, and associated with the Max-Planck Center for Visual Computing and Communications. Before joining Saarland University he was a postdoctoral research fellow at the University of British Columbia, Vancouver, Canada, supported by the Alexander von Humboldt-Foundation. He received a MS degree in Scientific Computing from the Royal Institute of Technology (KTH), Stockholm, Sweden and a PhD (summa cum laude) in Computer Science from Saarland University. He is interested in all aspects of Computational Imaging, including theory, mathematical modeling, algorithm design and their efficient implementation, as well as hardware concepts and their experimental realization and characterization.

Thomas Maugey graduated from Ecole Supérieure d’Electricité, Supélec, Gif-sur-Yvette, France in 2007. He received the M.Sc. degree in fundamental and applied mathematics from Supélec and Université Paul Verlaine, Metz, France, in 2007. He received hi Ph.D. degree in Image and Signal Processing at TELECOM ParisTech, Paris, France in 2010. From October 2010 to October 2014, he was a postdoctoral researcher at the Signal Processing Laboratory (LTS4) of Swiss Federal Institute of Technology (EPFL), Lausanne, Switzerland. Since November 2014, he is a Research Scientist at Inria Rennes-Bretagne-Atlantique. He serves as an Assiociate Editor for EURASIP Journal on advances in signal processing and IEEE Signal Processing letters. His research deals with graph signal processing, 2D and 3D video representation, processing and compression.

Dr Dorina Thanou is a senior scientist and lecturer at EPFL, leading the development of the Intelligent Systems for Medicine and Health research pillar, under the Center for Intelligent Systems. Prior to that, she was a Senior Data Scientist at the Swiss Data Science Centre. She got her M.Sc. and Ph.D. in Communication Systems and Electrical Engineering respectively, both from EPFL, Switzerland, and her Diploma in Electrical and Computer Engineering from the University of Patras, Greece. Her research interests lie in the broader area of signal processing and machine learning, with a special focus on graphs and networks, and she is particularly interested in applying her expertise to biomedical applications. She is the recipient of the Best Student Paper Award at ICASSP 2015, and the co-author of the Best Paper Award at PCS 2016. Among other technical activities, Dorina is a steering committee member of the IEEE Signal Processing Society Data Science Initiative, and a member of the EURASIP technical area committee on Biomedical Images & Signal Analytics (BISA). She is an ELLIS Scholar. 

Srinath Sridhar (https://srinathsridhar.com) is an assistant professor of computer science at Brown University. He received his PhD at the Max Planck Institute for Informatics and was subsequently a postdoctoral researcher at Stanford. His research interests are in 3D computer vision and machine learning. Specifically, his group focuses on visual understanding of 3D human physical interactions with applications ranging from robotics to mixed reality. He is a recipient of the NSF CAREER award, Google Research Scholar award, and his work received the Eurographics Best Paper Honorable Mention. He spends part of his time as a visiting academic at Amazon Robotics and has previously spent time at Microsoft Research Redmond and Honda Research Institute.

Thomas Sikora –

Arash Vahdat is a principal research scientist at NVIDIA research specializing in generative AI technologies. Before joining NVIDIA, he was a research scientist at D-Wave Systems where he worked on generative learning and its applications in efficient training. Before D-Wave, Arash was a research faculty member at Simon Fraser University (SFU), where he led deep learning-based video analysis research and taught master courses on machine learning for big data. Arash’s current areas of research include generative learning, representation learning, and efficient deep learning.

Workshop

Camille Bisson has a master’s degree in Product Design from LAAB in Rennes, as well as a master’s degree in Innovation Management from Arts et Métiers ParisTech. She worked as a design and innovation consultant for a cabinetmaker’s workshop, and then for a consulting agency in the railway industry. She then turned to the field of fablabs, where she put’s her skills in design, creativity and prototyping at the service of education. She is currently in charge of the Teaching Lab, a third place at the University of Rennes.

Patrice Gelin – Since 2010, Patrice Gelin has been the head of the Office of Partnerships & Technology Transfer of the Inria research centre located in Rennes. Before joining Inria (in 2001), he has been working as a research engineer during 10 years at the French Atomic Energy Commission (CEA) on a large applied physics project after starting his career in a scientific instrumentation SME, Riber, following a PhD in Physics.

Monica Le Bezvoet – PhD & Engineer in innovation, her experience concerns both SMEs and big companies. Her missions at Inria are to detect and help launching deeptech startups, based on research in informatics, applied to all domains. With Groupama, Monica completed her PhD thesis in the innovation department (thesis). At the CCI Grand Est, she counseled more than a hundred companies in their strategy and innovation using appropriate methodologies. Strategy, innovation, R&D project structuring, search for partners and funding, these are some key words that speak to her. (profile)

Antoine Le Graet – Since 2020, Antoine Le Graet is in charge of partnerships and innovation projects at the Inria center of Rennes.
He supports startup projects through the Inria Startup Studio program.
He started his career in innovation consulting for large companies and startups. Then, he joined the Saint-Brieuc technology park to support the creation of innovative startups.

Heidi Van Herbruggen  is in charge of european partnerships at the Office of Partnerships & Technology Transfer of the Inria research center in Rennes since 2017. She supports researchers in their european project proposals.  After an initial training as a Product Developer in Antwerp, Belgium, and a year of cultural management at the University of Aix-en-Provence, she worked as a financial and administratif officer in a theatre, an associative publisher and an artists’ collective. She joined Inria in 2008 as european contract manager.