Ronell Sicat
- Visualization Scientist, Core labs and Research Infrastructure
- Research Scientist (former), Computer Science
Ronell Sicat is a scientist with more than 10 years of experience in scientific research and software development. His main interests are scalable visualization and analysis of large-scale data (e.g., images, volumes, meshes), and immersive analytics that leverage augmented/virtual reality. He is passionate about helping domain scientists solve their problems using my wide-ranging experience in programming, image processing, segmentation, quantitative analysis, and computer graphics.
Biography
Dr. Sicat obtained his bachelor degree in Electronics and Communications Engineering from Ateneo de Manila University in Philippines in 2008. After graduating, he worked as a Research Assistant and Lecturer for almost a year before joining KAUST to receive his master degree in Electrical Engineering and his Ph.D. in Computer Science.
Afterward, he worked as a Postdoctoral Fellow at Visual Computing Center (VCC) in KAUST. He left KAUST to join Harvard University as a Postdoctoral Researcher, until he returned to KAUST in 2019 as a Research Scientist to continue his research journey.
Research Interests
His main research interests are large-scale data visualization and analysis, immersive analytics, and computer graphics. He develops multi-resolution representations and algorithms for large-scale gigapixel images, and 3D volumes. He also develops visualization tools and techniques for augmented and virtual reality environments towards novel ways of experiencing and understanding data.
Education
- Bachelor of Engineering (B.Eng.)
- Electronics and Communications Engineering, Ateneo de Manila University, Philippines, 2008
- Master of Science (M.S.)
- Electrical Engineering, King Abdullah University of Science and Technology, Saudi Arabia, 2010
- Doctor of Philosophy (Ph.D.)
- Computer Science, King Abdullah University of Science and Technology, Saudi Arabia, 2015
Quote
My main research interests are large-scale data visualization and analysis, immersive analytics, and computer graphics. In particular, I develop new algorithms for representing, processing, and visualizing large-scale data such as gigapixel images, and high-resolution volumes. I also explore new techniques and develop open-source tools that leverage augmented / mixed / virtual reality technology towards novel ways to experience and analyze data.