معرفی
Shuo Sean Pang is an Associate Professor at CREOL, the College of Optics and Photonics at the University of Central Florida. He holds a Ph.D. in Electrical Engineering from Caltech and conducted postdoctoral research at Duke University. His work focuses on computational imaging systems, AI-driven optical design, and optoelectronic systems for sensing, imaging, and computing applications.
Education
- Ph.D. Electrical Engineering, California Institute of Technology
- M.S. Biomedical Engineering, Texas A&M University
- B.S. Optical Engineering, Tsinghua University
Research Interests
Dr. Pang’s lab explores computational imaging methods, AI optimization for optical systems, photonic signal processing, and optical design modeling. Current projects include developing photonic integrated circuits for matrix operations, floating-point photonic solvers, and AI-driven photonics design frameworks.
Recent Research Trends
His 2023–2024 publications emphasize photonic arithmetic hardware (e.g., floating-point multipliers and iterative solvers) and AI-driven photonics (inverse design, variational networks). He has demonstrated fiber-optic computing systems and photonic encoders for high-speed imaging processing.
Awards
- 2019 Excellence in Undergraduate Teaching Award (UCF)
- 2017 SPIE DCS Rising Researcher Award
- 2016 Ralph E. Powe Junior Faculty Award
Advising & Grants
Current advisees include Ph.D. students Andrew Klein (optical iterative solvers), Xichen Shan (imaging systems), and Steven Silverio. He has mentored alumni Zheyuan Zhu (2020) and Yangyang Sun (2019). Research funding has supported his work on photonics-AI integration and low-power optical systems.
Labs & Teams
He leads the Optical Imaging System Laboratory, which develops next-generation photonic hardware and imaging algorithms. Collaborations include Duke University and Texas A&M, with cross-disciplinary efforts in biomedical optics and computational photonics.
