Haomiao Ni is a tenure-track Assistant Professor of Computer Science at the University of Memphis with eight years of research experience spanning computer vision and medical imaging to generative video models. Her recent industry internships at Mitsubishi Electric Research Laboratories and NEC Labs focused on diffusion-based image-to-video generation, while prior work applied weakly supervised methods to coronary vessel segmentation for dynamic roadmapping. She holds a PhD in Informatics from Penn State and brings a strong blend of academic rigor and hands-on engineering, translating state-of-the-art generative models into practical research prototypes. Based in Germantown, Tennessee, she combines interdisciplinary training from top institutions in China and the U.S., and is particularly adept at bridging medical imaging challenges with modern deep generative techniques.
8 years of coding experience
Master's degree, Computer Science, Master's degree, Computer Science at University of Chinese Academy of Sciences
Doctor of Philosophy - PhD, Informatics, Doctor of Philosophy - PhD, Informatics at Penn State University
Bachelor's degree, Information Engineering, Bachelor's degree, Information Engineering at South China University of Technology
Contributions:24 commits, 17 pushes, 2 branches in 3 months
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Haomiao Ni - Assistant Professor at The University of Memphis