Academic Profile : Faculty

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Prof Seah Hock Soon
Professor, School of Computer Science and Engineering
External Links
 
Dr Seah Hock Soon is a professor at the School of Computer Science and Engineering (SCSE) at Nanyang Technological University (NTU), Singapore. He is the Director of the Centre for Augmented and Virtual Reality (CAVR) leading the overall R&D strategy and management of the College-level centre.
Geometric data modeling, image sequence analysis, non-photorealistic rendering, computer animation and game, and virtual and augmented reality.
 
  • Accelerating traditional workflows in animation and gaming through creative AI solutions
  • Beyond the Screen-Expanding Animation for VR, AR and Immersive Environments
  • From Print to Digital Continued: Expanded Research into adapting Shakespeare for VR, AR and AI
  • Interplay between Machine Learning and Precision Optical Measurement
  • Stroke Modeling and Rendering with eXpressive B-Spline Curves
  • Toward AI Opponent in VR Game
  • Transforming Singaporean Wayang Kulit for Virtual Reality
Awards
Best Paper Award. SE Montesdeoca, HS Seah, A Semmo, P Bénard, R Vergne, J Thollot, D Benvenuti. MNPR: A Framework for Real-Time Expressive Non-Photorealistic Rendering of 3D Computer Graphics, Expressive’18: The Joint Symposium on Computational Aesthetics and Sketch Based Interfaces and Modeling and Non-Photorealistic Animation and Rendering. Victoria, Canada, Aug 2018.

Honorable Mention and Best Presentation Paper Award. SE Montesdeoca, HS Seah, HM Rall, Art-directed Watercolor Rendered Animation, NPAR’16 Proceedings of the Workshop on Non-Photorealistic Animation and Rendering - The Eurographics Association, May.
 
Fellowships & Other Recognition
Fellow of the Singapore Academy of Engineering
 
Courses Taught
DM6127 AI in Game Design
CE/CZ4001 Virtual and Augmented Reality
Supervision of PhD Students
Jiang Jie, "Occlusion-Aware Boundary Stroke for Drawing, Inbetweening, and Coloring". Thesis submitted.

Robitzki Sascha Roman, "A Data-Driven Learning Approach to Agent Behavior with Physics-Based Intentions".