Research
Data visualization provides intuitive and practical tools for information exploration and scientific discovery. However, with the increased availability of computing resources and sensing devices, data’s ever-increasing size and complexity pose fundamental challenges to existing visualization techniques. The first challenge is data understanding, requiring new methodologies to extract key features and insights from large-scale data. Second, the development of data transmission and storage systems is outpaced by unprecedented data growth. This disparity challenges in situ data processing since data needs to be transferred to a commodity workstation to conduct interactive inspections. Third, visualization tools and methodologies for understanding the sensitivities and uncertainties of scientific simulations are lacking. My research aims to address these challenges by significantly enriching methodologies and tools of topology-based visualization for scientific data exploration.
