Stanford University
Showing 501-550 of 777 Results
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Xiaolin Zheng
Associate Dean for Faculty Affairs, Professor of Mechanical Engineering, of Energy Science Engineering, Senior Fellow at the Precourt Institute for Energy and Professor, by courtesy, of Materials Science and Engineering
BioProfessor Zheng received her Ph.D. in Mechanical & Aerospace Engineering from Princeton University (2006), B.S. in Thermal Engineering from Tsinghua University (2000). Prior to joining Stanford in 2007, Professor Zheng did her postdoctoral work in the Department of Chemistry and Chemical Biology at Harvard University. Professor Zheng is a member of MRS, ACS and combustion institute. Professor Zheng received the TR35 Award from the MIT Technology Review (2013), one of the 100 Leading Global Thinkers by the Foreign Policy Magazine (2013), 3M Nontenured Faculty Grant Award (2013), the Presidential Early Career Award (PECASE) from the white house (2009), Young Investigator Awards from the ONR (2008), DARPA (2008), Terman Fellowship from Stanford (2007), and Bernard Lewis Fellowship from the Combustion Institute (2004).
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Xueli(Sherry) Zheng
Staff Scientist, SLAC National Accelerator Laboratory
BioXueli (Sherry) Zheng is a Physical Science Research Scientist in the Department of Materials Science and Engineering at Stanford University. Dr. Zheng has over 10 years of experience in battery technology, electrochemistry, materials science, X-ray science, and catalysis. Throughout her career, she has published more than 50 peer-reviewed papers, with over 11,000 citations and an H-index 36 (according to Google Scholar). Her research focuses on 1) advancing the design, synthesis, and characterization of 2D nanomaterials, leveraging her extensive background and specialized expertise in materials synthesis and synchrotron X-ray spectroscopy/imaging characterization. 2) advanced synchrotron-based characterization techniques, particularly for studying interfaces, surfaces, and nanomaterial properties. These include in situ measurements to explore catalytic reactions, lithium metal batteries, and aqueous battery systems. 3) decarbonizing steelmaking using sustainable hydrogen; 4) critical materials including Li/Co and rare earth element characterization and extraction. 5) leveraging fundamental science to enable translational research across many sustainable energy technologies, including batteries and decarbonizing steelmaking.
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Yanhua Zheng
Lecturer
BioYanhua Zheng is a native Cantonese Speaker with more than 10 years of experience in education. She immigrated to the US in 2014 and received her combined B.A. and Masters in Chinese from San Francisco State University, one of the nations top-ranked Chinese language programs. She now lives in Palo Alto with her son and her husband. Yanhua is also an avid reader, writer, and artist.
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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.
