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Thomas Bashford-Rogers
University of Warwick
United Kingdom
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Brief Bio
Thomas Bashford-Rogers is an Associate Professor at the University of Warwick. He obtained his PhD in Computer Graphics in 2011 and has a BSc in Computer Science from the University of Bristol. His research interests are focused around rendering and high dynamic range imaging, specifically Monte Carlo and MCMC methods for light transport simulation, material models, natural phenomena such as sky illumination, quantum computing, inverse tone mapping, and the use of human perception for graphics.Thomas Bashford-Rogers is an Associate Professor at the University of Warwick. He obtained his PhD in Computer Graphics in 2011 and has a BSc in Computer Science from the University of Bristol. His research interests are focused around rendering and high dynamic range imaging, specifically Monte Carlo and MCMC methods for light transport simulation, material models, natural phenomena such as sky illumination, quantum computing, inverse tone mapping, and the use of human perception for graphics.
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Daniel Meneveaux
University of Poitiers
France
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Brief Bio
Daniel Meneveaux is a Professor at the University of Poitiers (France) and XLIM institute (CNRS UMR 7252). He was awarded a Ph.D. degree in 1998 from the university of Rennes (France), hired as Professor in 2010. His fields of interest are lighting simulation, reflectance models, image-based rendering, complex scenes management, including topology-based geometric modeling and hierarchical representations.Daniel Meneveaux is a Professor at the University of Poitiers (France) and XLIM institute (CNRS UMR 7252). He was awarded a Ph.D. degree in 1998 from the university of Rennes (France), hired as Professor in 2010. His fields of interest are lighting simulation, reflectance models, image-based rendering, complex scenes management, including topology-based geometric modeling and hierarchical representations.
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Mehdi Ammi
University of Paris 8
France
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Brief Bio
Mehdi Ammi is Professor at the University of Paris 8. He is engineer in electronics (2000), PhD in robotics (2005) and habilitaded to supervise research (HDR) in computer science since 2013. His research focuses on the study of pervasive environments and their societal and industrial applications (e-health, smart building, factory of the future, etc.). He addresses this field with a multidisciplinary approach combining, Human–Computer Interaction (plastic interaction, 3D interaction, AR/VR, etc.), Artificial Intelligence (machine learning, neurosciences, etc.), mechatronic technologies (organic electronics, smart textiles, etc.) and human factors (psychology, behavioral analysis, etc.). Mehdi Ammi was the leader or coleader of several international working groups (IEEE TCH, EuroVR Haptic SIG, etc.), and was involved in more than 30 national & international projects and industrial collaborations. ... More >>
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Mounia Ziat
Bentley University
United States
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Brief Bio
Relying on her multidisciplinary background, Dr. Ziat's approach to science is holistic; her goals are to better understand perception and human interaction with the natural and artificial environment. For the last eighteen years, she have been studying haptic and multimodal perception by combining engineering, cognitive psychology, human-computer interaction (HCI), and neuroscience to understand all aspects of human touch. From the moment fingers contact a surface to the time information reaches the brain, her research focusses on making sense of sensations that lead to a stable perception of the world. Dr. Ziat holds an Electronic Engineering degree and a Master and Ph.D. in Cognitive Science. Dr. Ziat is an Associate Professor at Bentley University. ... More >>
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Stefan Jänicke
Department of Mathematics and Computer Science, University of Southern Denmark
Denmark
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Brief Bio
Stefan Jänicke is Professor of Data Science at the Department of Mathematics and Computer Science at the University of Southern Denmark, Odense, Denmark. His research interests relate to information visualization and visual analytics with a focus on text-, time- and geo-visualization, and their application in research areas like (digital) humanities, linguistics, social sciences, biology, health and sports.Stefan Jänicke is Professor of Data Science at the Department of Mathematics and Computer Science at the University of Southern Denmark, Odense, Denmark. His research interests relate to information visualization and visual analytics with a focus on text-, time- and geo-visualization, and their application in research areas like (digital) humanities, linguistics, social sciences, biology, health and sports.
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Helen C. Purchase
Monash University
Australia
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Brief Bio
Helen C. Purchase is a Professor in the Department of Human-Centred Computing at Monash University. While her main interest is the evaluation of the visual presentation of graphs, she also takes part in several empirical research projects investigating a variety of different visual stimuli. She has published several papers in the area of computer science education and educational technology.Helen C. Purchase is a Professor in the Department of Human-Centred Computing at Monash University. While her main interest is the evaluation of the visual presentation of graphs, she also takes part in several empirical research projects investigating a variety of different visual stimuli. She has published several papers in the area of computer science education and educational technology.
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Petia Radeva
Universitat de Barcelona
Spain
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Brief Bio
Prof. Petia Radeva is a Full professor at the Universitat de Barcelona (UB), Head of the Consolidated Research Group “Artificial Intelligence and Biomedical Applications (AIBA)” at the University of Barcelona. Her main interests are in Machine/Deep learning and Computer Vision and their applications to health. Specific topics of interest: data-centric deep learning, uncertainty modeling, self-supervised learning, continual learning, learning with noisy labeling, multi-modal learning, NeRF, food recognition, food ontology, etc. She is an Associate editor in Chief of Pattern Recognition journal and International Journal of Visual Communication and Image Representation. She is a Research Manager of the State Agency of Research (Agencia Estatal de Investigación, AEI) of the Ministry of Science and Innovation of Spain. She supervised 24 PhD students and published more than 100 SCI journal publications and 250 international chapters and proceedings. Petia Radeva belongs to the top 2% of the World ranking of scientists with the major impact in the field of TIC according to the citations indicators of the popular ranking of Stanford. Moreover, she was awarded IAPR Fellow since 2015, ICREA Academia’2015 and ICREA Academia’2022 assigned to the 30 best scientists in Catalonia for her scientific merits, received several international and national awards (“Aurora Pons Porrata”, Prize “Antonio Caparrós” ). ... More >>
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Antonino Furnari
University of Catania
Italy
http://www.antoninofurnari.it/
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Brief Bio
Antonino Furnari is an Assistant Professor at the University of Catania. He received his PhD in Mathematics and Computer Science in 2017 from the University of Catania and authored one patent and more than 50 papers in international book chapters, journals and conference proceedings. Antonino Furnari is involved in the organization of different international events, such as the Assistive Computer Vision and Robotics (ACVR) workshop series (since 2016), the International Computer Vision Summer School (ICVSS) (since 2017), and the Egocentric Perception Interaction and Computing (EPIC) workshop series (since 2018) and the EGO4D workshop series (since 2022). Since 2018, he has been involved in the collection, release, and maintenance of the EPIC-KITCHENS dataset series, and in particular in the egocentric action anticipation and action detection challenges. Since 2021, he has been involved in the collection and benchmarking of the EGO4D dataset. He is co-founder of NEXT VISION s.r.l., an academic spin-off the the University of Catania since 2021. His research interests concern Computer Vision, Pattern Recognition, and Machine Learning, with focus on First Person Vision. More information is available at http://www.antoninofurnari.it/. ... More >>