Visual Data Science - Advancing Science through Visual Reasoning

Brief Bio
Torsten Möller is a professor at the University of Vienna, Austria, since 2013. Between 1999 and 2012 he served as a Computing Science faculty member at Simon Fraser University, Canada. He received his PhD in Computer and Information Science from Ohio State University in 1999 and a Vordiplom (BSc) in mathematical computer science from Humboldt University of Berlin, Germany. He is a senior member of IEEE and ACM, and a member of Eurographics. His research interests include algorithms and tools for analyzing and displaying data with principles rooted in computer graphics, image processing, visualization and human-computer interaction.He heads the research group of Visualization and Data Analysis. He served as the appointed Vice Chair for Publications of the IEEE Visualization and Graphics Technical Committee (VGTC) between 2003 and 2012. He has served on a number of program committees and has been papers co-chair for IEEE Visualization, EuroVis, Graphics Interface, and the Workshop on Volume Graphics as well as the Visualization track of the 2007 International Symposium on Visual Computing. He has also co-organized the 2004 Workshop on Mathematical Foundations of Scientific Visualization, Computer Graphics, and Massive Data Exploration as well as the 2010 Workshop on Sampling and Reconstruction: Applications and Advances at the Banff International Research Station, Canada. He is a co-founding chair of the Symposium on Biological Data Visualization (BioVis). In 2010, he was the recipient of the NSERC DAS award. He received best paper awards from IEEE Conference on Visualization (1997), Symposium on Geometry Processing (2008), and EuroVis (2010), as well as two second best paper awards from EuroVis (2009, 2012).

 

 

Groups and Crowds - Detection, Tracking and Behavior Analysis of People Aggregations

Brief Bio
Vittorio Murino is full professor at the University of Verona, Italy, and has also a double appointment with University of Genova. He took the Laurea degree in Electronic Engineering in 1989 and the Ph.D. in Electronic Engineering and Computer Science in 1993 at the University of Genova, Italy. From 2009 to 2019, he worked at the Istituto Italiano di Tecnologia in Genova, Italy, as founder and director of the PAVIS (Pattern Analysis and Computer Vision) department, with which he is still collaborating now as a visiting scientist. From 2019 to 2021, he worked as Senior Video Intelligence Expert at the Ireland Research Centre of Huawei Technologies (Ireland) Co., Ltd. in Dublin. His main research interests include computer vision and machine learning, nowadays focusing on deep learning approaches, domain adaptation and generalization, and multimodal learning for (human) behavior analysis and related applications, such as video surveillance and biomedical imaging. Prof. Murino is co-author of more than 400 papers published in refereed journals and international conferences, member of the technical committees of important conferences (CVPR, ICCV, ECCV, ICPR, ICIP, etc.), and guest co-editor of special issues in relevant scientific journals. He is also member of the editorial board of Computer Vision and Image Understanding and Machine Vision & Applications journals. Finally, prof. Murino is IEEE Fellow, IAPR Fellow, and ELLIS Fellow.

 

 

Trends and Challenges of Augmented Reality

Brief Bio
Dieter Schmalstieg is full professor and head of the Institute of Computer Graphics and Vision at Graz University of Technology, Austria. His current research interests are augmented reality, virtual reality, computer graphics, visualization and human-computer interaction. He received Dipl.-Ing. (1993), Dr. techn. (1997) and Habilitation (2001) from Vienna University of Technology. He is author and co-author of over 400 peer-reviewed scientific publications with over 20,000 citations and over twenty best paper awards and nominations. His organizational roles include associate editor in chief of IEEE Transactions on Visualization and Computer Graphics, associate editor of Frontiers in Robotics and AI, member of the steering committee of the IEEE International Symposium on Mixed and Augmented Reality, chair of the EUROGRAPHICS working group on Virtual Environments (1999-2010), key researcher of the K-Plus Competence Center for Virtual Reality and Visualization in Vienna and key researcher of the Know-Center in Graz. In 2002, he received the START career award presented by the Austrian Science Fund. In 2008, he founded the Christian Doppler Laboratory for Handheld Augmented Reality. In 2012, he received the IEEE Virtual Reality technical achievement award, and, in 2020, the IEEE ISMAR Career Impact Award. He was elected as Fellow of IEEE, as a member of the Austrian Academy of Sciences and as a member of the Academia Europaea.

 

 

Command Selection and User Expertise

Brief Bio

Gilles Bailly is researcher at the CNRS institute and Telecom ParisTech Laboratory since 2013. Previously, he was post-doctoral researcher at Cluster of Excellence of multimodal interaction (2013), Max-Planck Institute für Informatics (2012), Telekom Innovation Laboratories (2011-2012). He received his PhD in Computer Science from the University of Grenoble. Gilles Bailly is author or co-author of more than 50 peer-reviewed publications. His work has been awarded the Best Paper Award and Best Paper Honorable Mention at ACM CHI five times since 2012 and one time at ACM MobileHCI (2014). Several of his works such as ShoeSense or iSkin received a lot of attention in the medias. He has served on a number of program committees such as ACM CHI or ACM ITS. 

His research is in Human-Computer Interaction (HCI), focused on understanding and improving command selection, an important task in HCI. He especially focuses on the transition from novice to expert behaviors. He designs novel interaction techniques, build predictive models of performance and develop optimization methods. Applications include traditional desktop workstations, mobile devices, interactive public displays, gesture-based interaction, wearable computing, augmented reality and interactive visualization.