visual computing

Observer-Relative Flow Visualization and Objective Feature Extraction

Xingdi Zhang, Ph.D. Student, Computer Science

Nov 19, 16:30 - 18:00

B1 L4 R4214

visual computing scientific computing deep learning

This dissertation develops an integrated toolkit of novel visualization and feature extraction methods, grounded in a Riemannian geometry framework, to enable an objective, observer-relative, and physically consistent analysis of complex unsteady flows.

Markus Hadwiger

Professor, Computer Science

visualization visual computing

Markus Hadwiger is a Professor of Computer Science at the King Abdullah University of Science and Technology (KAUST). A founding member of the University, he conducts fundamental and applied research in scientific visualization and visual computing.

Hisham Alhussain

M.S., Computer Science

Scientific Visualization visual computing

Hisham Alhussain is a Computer Science Master Student under the supervision of Professor Markus Hadwiger at the Visual Computing Center (VCC) at King Abdullah University of Science and Technology (KAUST). Education and Early Career Hisham received his bachelor's degree in Computer Science from the University of Massachusetts at Amherst in 2018. He is also a Software Developer at IBM. Research Interest He's currently focusing on Scientific Visualization and Visual Computing. He is proficient in Python, Java, and has professional experience in React/React-Native and mobile and web development