Eugene Zhang

Eugene Zhang is a Professor in the School of Electrical Engineering and Computer Science at Oregon State University. He holds a Ph.D. in Computer Science from the Georgia Institute of Technology and has been recognized with the NSF CAREER Award. His research is centered on computer graphics, scientific visualization, and geometric modeling, with applications in medical imaging, simulation, and artistic rendering.

• Ph.D., Computer Science, Georgia Institute of Technology, 2004
• M.S., Computer Science, Ohio State University, 1995
• M.S., Mathematics, Ohio State University, 1994

His research interests include computer graphics, scientific visualization, information visualization, and geometry processing. He pioneers work in vector and tensor field design, enabling more expressive and controllable visual content. His projects often involve interdisciplinary collaborations, helping scientists interpret complex data such as fluid dynamics, stress fields, and geophysical simulations. He also explores non-photorealistic rendering inspired by traditional Chinese art.

The recent publications highlight a consistent trend in topological analysis of tensor and vector fields, scalable hypergraph visualization, and interactive design of complex geometric structures. His work frequently appears in IEEE VIS and SIGGRAPH venues, reflecting strong contributions to both foundational algorithms and applied visualization techniques.

• NSF CAREER Award (2006)
• Apprentice for Science and Engineering 10-Year Service Award (2018)

Eugene Zhang has advised numerous Ph.D. and M.S. students, many of whom have gone on to careers in industry (e.g., Adobe, Amazon, Facebook, NVIDIA, Zoox) and academia. He is currently leading an NSF-funded project (IIS-2437424) on time-varying symmetric tensor fields. He collaborates closely with Dr. Yue Zhang on reading groups focused on graphics and simulation topics.

He leads a research group focused on computer graphics and visualization, hosting regular reading sessions and mentoring graduate students in cutting-edge visualization techniques.