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High-Performance Visualizations (HPV) for human design
03 de marzo de 2016
De 14.30 a 15.30 h
Sala de Conferencias, Río Hondo

Nicholas F. Polys, Ph.D.
 
Director of Visual Computing 
 
Affiliate Professor
Virginia Tech Department of Computer Science
 
Nicholas F. Polys is Director of Visual Computing with Virginia Tech Research Computing Group and Affiliate Research Professor in the Department of Computer Science. He has developed interactive 3D graphic content and systems since 1997. His research interests lie at the center of graphics and Human Computer Interaction: the intersection of visualization, virtual environments, and perception. After his undergraduate research in Cognitive Science at Vassar College (1996), he jumped into the networked information space of the WWW developing audio, visual, and 3D assets and software. His doctoral work at Virginia Tech (2006) examined perceptual cues and layout behaviors for Information-Rich Virtual Environments for desktop to immersive platforms.
He is a member of ACM, IEEE Computer Society, and the Web3D Consortium. He is a co-author of the international standard (ISO) Extensible 3D (X3D), elected Director and President of the Web3D Consortium, and Chair of the Web3D User Interface Working Group.
 
"High-Performance Visualizations (HPV) for human design”
 
Several trends are exacerbating the asymmetric relation between human and data: powerful hardware and efficient software are producing large amounts of simulation and sensor data products. In this talk, I will present our approach to scaling High-Performance Visualizations (HPV) for human design, decision-making, and discovery. I consider visualization as an optimization problem of information channels between mind and computer, seeking to maximize information throughput based on both computational and perceptual principles. I reflect on the deployment of HPV to a broad range of users in a university setting and consider the challenges and opportunities for scaling human interaction and perception in modern, multi-modal computational science.
 

Organiza: Departamento Académico de Computación
Teléfono(s):
Susana Corvera ext. 3614
Correo Electrónico:
susana.corvera@itam.mx