School of Engineering
Showing 101-200 of 239 Results
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Weixin Liang
Ph.D. Student in Computer Science, admitted Autumn 2021
BioPlease visit my personal website for more detail: https://ai.stanford.edu/~wxliang/
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Alissa Sachiko Ling
Ph.D. Student in Electrical Engineering, admitted Autumn 2018
Current Research and Scholarly InterestsI will conduct freely moving experiments to explore neural dynamics for ambulatory behavior by developing a markerless motion capture system to correlate full body kinematics with neural data. I will analyze the effect of task complexity on neural variance by comparing dynamics between free and constrained tasks. This will advance our understanding of cortical control of naturalistic behavior and could inform research to improve the standard of care for patients with motor disabilities.
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Trisha Jo-Marie Litong
Masters Student in Mechanical Engineering, admitted Autumn 2019
BioM.S. Candidate in Mechanical Engineering, Class of 2023
B.S. in Product Design, Class of 2022
Researcher at the Stanford DIVE Lab -
Alan Liu
Ph.D. Student in Mechanical Engineering, admitted Winter 2022
BioSecond year Ph.D. student in Mechanical Engineering doing research in degradation modeling for solar modules and materials.
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jingxiao liu
Ph.D. Student in Civil and Environmental Engineering, admitted Winter 2020
Ph.D. Minor, Electrical EngineeringBioJingxiao Liu is a Ph.D. candidate in the Department of Civil & Environmental Engineering at Stanford University. He received his M.S. in Civil Engineering from Carnegie Mellon University in 2017. His research focuses on structural health monitoring, smart infrastructure systems, and smart city applications using signal processing, data mining, physics-guided machine learning, mobile sensing, and fiber-optic sensing techniques.
The main objective of his Ph.D. research is to develop physics-guided data-driven approaches for drive-by structural health monitoring that are scalable to a large stock of structures without requiring training data from every structure. His prior works on this topic have the following accomplishments: 1) Based on the physical understandings of vehicle-structure interaction systems, he has developed damage localization and quantification algorithms for drive-by SHM of bridges and an anomaly detection algorithm for railroad track geometry monitoring. He has published his works in top-tier conferences and journals in both civil and electrical engineering. 2) Collaborating with the Port Authority of Allegheny County, he has conducted real-world deployments and multiple field experiments on a light rail system, including a 42.2-km railroad track and multiple bridges, to validate the robustness of his approaches with complex and realistic infrastructure. He has published a comprehensive dataset collected from vehicles in this light rail system, which is the first open-access dataset for drive-by SHM. -
Nelson F. Liu
Ph.D. Student in Computer Science, admitted Autumn 2019
BioSee my personal website for more information: http://nelsonliu.me
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Qiaoyi (Joey) Liu
Ph.D. Student in Electrical Engineering, admitted Autumn 2017
BioQiaoyi(Joey) is a PhD student advised by Mark Horowitz. He is working on agile hardware design methodology, generating computer vision hardware from domain specific language, Halide. His research interests include energy efficient system design, compiler and domain-specific architecture.
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Shiyuan Liu
Masters Student in Electrical Engineering, admitted Autumn 2022
BioHi, I'm Shiyuan Liu, a first year master in Electrical Engineering. Outside of school, I enjoy rock climbing and creating Bilibili videos. In the past 6 months, my channel receives over 3k subscribers and 10k views.
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Ziang Liu
Masters Student in Computer Science, admitted Autumn 2021
BioZiang Liu is a Master's student in the Computer Science Department. He received his Bachelor's degree in Computer Science and a Bachelor's degree in Applied and Computational Mathematics from the University of Southern California. His current research interests include robotics, reinforcement learning, manipulation, and motion planning.
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Michael LoCascio
Ph.D. Student in Civil and Environmental Engineering, admitted Winter 2022
BioMichael's work focuses on wind energy at the intersection of computational fluid dynamics, controls, and optimization. He is interested in wake modeling, wind farm layout optimization, and large eddy simulations of wind farm flows. He is currently working on a low-cost model for the annual energy production of wind farms. Michael is also a graduate researcher at the National Wind Technology Center, a research facility of the National Renewable Energy Laboratory. He received his Master of Science in Mechanical Engineering from Stanford in 2023 and his Bachelor of Science in Mechanical Engineering from UCLA in 2020.
