Stanford University
Showing 91-100 of 127 Results
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Zhuo Zheng
Postdoctoral Scholar, Computer Science
BioMy research interests are Earth Vision and AI4Earth, especially multi-modal and multi-temporal remote sensing image analysis and their real-world applications.
First-author representative works:
- Our Change family: ChangeStar (single-temporal learning, ICCV 2021), ChangeMask (many-to-many architecture, ISPRS P&RS 2022), ChangeOS (one-to-many architecture, RSE 2021), Changen (generative change modeling, ICCV 2023)
- Geospatial object segmentation: FarSeg (CVPR 2020) and FarSeg++ (TPAMI 2023), LoveDA dataset (NeurIPS Datasets and Benchmark 2021)
- Missing-modality all weather mapping: Deep Multisensory Learning (first work on this topic, ISPRS P&RS 2021)
- Hyperspectral image classification: FPGA (first fully end-to-end patch-free method for HSI, TGRS 2020) -
Xiaoxu Zhong
Postdoctoral Scholar, Radiation Physics
BioI am a Postdoctoral Fellow in the Guillem Pratx Lab, with an expertise in predictive modeling, algorithm development, and data science. I earned my Bachelor of Science and Master of Science degrees in Ocean Engineering from Shanghai Jiao Tong University. I then received a Ph.D. in Mechanical Engineering from Purdue University, where I focused on developing mathematical models and applying machine learning. My work uncovered the mechanisms behind autoinjectors, drug delivery, and cavitation bubbles, with applications in tumor treatment and the design of medical devices. Currently, I am combining computational modeling and experimental approaches to positron emission tomography imaging, aiming to improve tumor diagnosis and treatment. I am also investigating how ionizing radiation nucleates nano-sized bubbles.
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Sa Zhou
Postdoctoral Scholar, Neurosurgery
BioSa Zhou, Ph.D., received her Ph.D. in Biomedical Engineering from The Hong Kong Polytechnic University. Her research focuses on person-centered cognitive and physical enhancement for aging-related neurological disorders - including stroke, Parkinson’s disease (PD), and Alzheimer’s disease (AD) - through the development of closed-loop brain-computer interface (BCI)-guided neuromodulation and rehabilitation robotics, as well as the investigation of brain structural and functional connectivity using multimodal neuroimaging and electrophysiology.
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Shiyuan Zhou
Postdoctoral Scholar, Materials Science and Engineering
BioShiyuan Zhou is a recipient of the 2026 Stanford Energy Postdoctoral Fellowship. He received his Ph.D. in Energy Chemistry in 2024 through a joint doctoral program between Xiamen University and Argonne National Laboratory, under the supervision of Prof. Shi-Gang Sun, Dr. Gui-Liang Xu, and Dr. Khalil Amine.
His research advances the frontiers of battery chemistry through the development of multimodal operando electrochemical scanning/transmission electron microscopy (EC-S/TEM) integrated with synchrotron X-ray characterization, enabling direct observation of real-time electrochemical and structural dynamics in energy materials. Trained as both a materials chemist and microscopist, his work focuses on visualizing highly sensitive and previously inaccessible electrochemical processes in batteries.
During his doctoral research, he developed in situ liquid-cell transmission electron microscopy techniques to probe real-time reaction dynamics in lithium–sulfur batteries. Following his Ph.D., he continued at Argonne as a postdoctoral fellow, where he expanded his research to multimodal and multiscale imaging approaches, integrating advanced electron microscopy with transmission X-ray microscopy to study all-solid-state batteries. His research has been recognized as one of China’s Top 10 Scientific Advances of 2023, and he has received the Tan Kah Kee Medal as well as the Argonne Impact Award.
