School of Engineering
Showing 31-40 of 69 Results
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Lu Lu
Postdoctoral Scholar, Mechanical Engineering
BioLu Lu is a postdoctoral fellow of Mechanical Engineering at Stanford University. Lu received his bachelor degree from Ningbo University in China in June 2014, and obtained his doctoral degree from Shanghai University in China in December 2019. During July 2020 to June 2022, he was a postdoctoral fellow at Peking University in China. Lu’s research interests focus on micro-/nano-mechanics and origami mechanics and design.
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Jennifer Maier
Postdoctoral Scholar, Mechanical Engineering
BioMy research interests include a broad variety of topics, ranging from medical image analysis and signal processing, machine learning and artificial intelligence, which I mainly focused on during my Ph.D. research. As a member of the Digital Athlete project of the Wu Tsai Performance Allience, I am now pursuing research to investigate how we can use wearable sensors, machine learning and biomechanical simulations to improve athlete performance, prevent injuries and support rehabilitation after injury.
I completed my Bachelor of Science and Master of Science degrees in medical engineering from Friedrich-Alexander-University Erlangen-Nuernberg (FAU). In 2015, I worked on my master’s thesis under the supervision of Prof. Kamiar Aminian during a research stay in the Laboratory of Movement Analysis and Measurement (LMAM), École Polytechnique Fédérale de Lausanne (EPFL), supported by a DAAD Scholarship. Afterwards, I pursued my Ph.D. at FAU in the Pattern Recognition Laboratory under the supervision of Prof. Andreas Maier and in the Machine Learning and Data Analytics Lab under the supervision of Prof. Bjoern Eskofier. I worked on projects in collaboration with Stanford University and the Universidade do Vale do Rio dos Sinos (UNISINOS) and conducted several short-term research stays at the partner universities. After finishing my Ph.D. in 2021, I joined Stanford University as a postdoctoral scholar advised by Prof. Ellen Kuhl. -
Aakash Patil
Postdoctoral Scholar, Mechanical Engineering
BioDr. Aakash Patil is a postdoctoral researcher at Stanford University working on deep Learning-assisted predictive modeling for high-dimensional spatio-temporal problems, particularly for turbulence in fluids. At the Center for Turbulence Research he works with Prof. Beverley McKeon as a part of a grant funded by the US Office of Naval Research. His Ph.D. in Computational Mathematics from Mines ParisTech - Paris Sciences et Lettres University led to the development of innovative deep learning methods for nonlinear dynamical systems and the creation of high-performance CPU-GPU frameworks for deep learning-assisted simulations. He was a co-founder of GreenPanda in 2014, a webtech startup catering SMBs, and exited in 2019 after 5 years of successful inclusion of SMBs in India's digital ecosystem.
His expertise includes building deep learning foundation models for high-dimensional spatio-temporal problems, scientific computing, machine learning operations, and quantitative analysis for complex scientific and engineering challenges. Interested in consultations or collaborations? Connect on LinkedIn at https://linkedin.com/in/aakash-patil
