22.05.2017

Montag, 22. Mai 2017, 16.15 Uhr, Turing Hörsaal

Prof. Yaoping Hu, PhD, PEng
Dept. of Electrical and Computer Engineering
Schulich School of Engineering
University of Calgary
Calgary, Alberta, CANADA

Interactive Analytics of Complex Data within Virtual Environments

Scientific/engineering data are becoming increasingly massive in sheer volumes and complex in multidimensions. Routinely, human experts of different disciplines undertake collaborative analysis of such data to extract their attributes and interrelations for decision-making. The characteristics of the data imposes, however, difficulties for experts’ analyses. Relying mainly on visualization, current analytic practice results in visual clutter and occlusion overloading the human cognition. Common methods for interacting with visualized data are inadequate to meet intuitiveness or socio-human needs, causing ineffective analysis. These are a bottle-neck issue, which deters experts from making use of complex data in decision-making. Hence, our research program aims to create enabling technologies to target this issue. The vital components of the technologies are new algorithms for recognizing key patterns reliably and rendering the patterns effectively to ensure intuitive visualization and interaction. Advanced virtual reality (VR) platforms serve to facilitate the experts to visualize and interact with key patterns of the data for user analyses.