School of Engineering
Showing 441-460 of 684 Results
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Jake Owens
Life Science Research Professional 1, Program-Tang, S.
Current Role at StanfordLife Science Research Professional in the lab of Sindy Tang
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Jasmin E. Palmer
Ph.D. Student in Mechanical Engineering, admitted Autumn 2019
BioJasmin earned a Bachelor of Science in Mechanical Engineering with a concentration in Controls, Instrumentation, and Robotics at the Massachusetts Institute of Technology (MIT) and a Master of Science in Mechanical Engineering at Stanford University. Jasmin is currently pursuing her Ph.D. in Mechanical Engineering at Stanford University and conducting research with faculty supervisor Professor Allison Okamura in the Collaborative Haptics in Robotics in Medicine (CHARM) Lab. Jasmin’s Ph.D. research centers around human-computer interaction and haptics, the science of and relating to the sense of touch. Developing technology that provides beneficial haptic feedback to human operators requires a multi-pronged and interdisciplinary approach. Her work leverages concepts from psychology and neuroscience to understand human perception, experimental design, and statistical analysis, and also applies her engineering background in dynamic modeling of physical systems and mechatronic system development in order to develop novel designs for wearable devices. The goal of her thesis is to develop an adaptable simulation framework that provides realistic haptic feedback for humans to perform various dexterous manipulation tasks in dynamic virtual reality (VR) and mixed reality (MR) environments using wrist-worn tactile devices. Jasmin wants to become an inspiration for other women of color to pursue careers in STEM fields. Jasmin also enjoys composing music, playing the flute, and studying foreign languages.
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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 -
Marco Pavone
Associate Professor of Aeronautics and Astronautics and, by courtesy, of Electrical Engineering and of Computer Science
BioDr. Marco Pavone is an Associate Professor of Aeronautics and Astronautics at Stanford University, where he directs the Autonomous Systems Laboratory and the Center for Automotive Research at Stanford. He is also a Distinguished Research Scientist at NVIDIA where he leads autonomous vehicle research. Before joining Stanford, he was a Research Technologist within the Robotics Section at the NASA Jet Propulsion Laboratory. He received a Ph.D. degree in Aeronautics and Astronautics from the Massachusetts Institute of Technology in 2010. His main research interests are in the development of methodologies for the analysis, design, and control of autonomous systems, with an emphasis on self-driving cars, autonomous aerospace vehicles, and future mobility systems. He is a recipient of a number of awards, including a Presidential Early Career Award for Scientists and Engineers from President Barack Obama, an Office of Naval Research Young Investigator Award, a National Science Foundation Early Career (CAREER) Award, a NASA Early Career Faculty Award, and an Early-Career Spotlight Award from the Robotics Science and Systems Foundation. He was identified by the American Society for Engineering Education (ASEE) as one of America's 20 most highly promising investigators under the age of 40. His work has been recognized with best paper nominations or awards at a number of venues, including the European Conference on Computer Vision, the IEEE International Conference on Robotics and Automation, the European Control Conference, the IEEE International Conference on Intelligent Transportation Systems, the Field and Service Robotics Conference, the Robotics: Science and Systems Conference, and the INFORMS Annual Meeting.
