School of Engineering
Showing 11-20 of 200 Results
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Antoine Falisse
Postdoctoral Scholar, Bioengineering
BioDr. Falisse is a postdoctoral fellow in Bioengineering working on computational approaches to study human movement disorders. He primarily uses optimization methods, biomechanical modeling, and data from various sources (wearables, videos, medical images) to get insights into movement abnormalities and design innovative treatments and rehabilitation protocols.
Dr. Falisse received his PhD from KU Leuven (Belgium) where he worked on modeling and simulating the locomotion of children with cerebral palsy. His research was supported by the Research Foundation Flanders (FWO) through a personal fellowship. Dr. Falisse received several awards for his PhD work, including the David Winter Young Investigator Award, the Andrzej J. Komor Young Investigator Award, the VPHi Thesis Award in In Silico Medicine, and the KU Leuven Research Council Award in Biomedical Sciences. -
Jonathan Fan
Associate Professor of Electrical Engineering
Current Research and Scholarly InterestsOptical engineering plays a major role in imaging, communications, energy harvesting, and quantum technologies. We are exploring the next frontier of optical engineering on three fronts. The first is new materials development in the growth of crystalline plasmonic materials and assembly of nanomaterials. The second is novel methods for nanofabrication. The third is new inverse design concepts based on optimization and machine learning.
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Lin Fan
Ph.D. Student in Management Science and Engineering, admitted Autumn 2017
BioLin Fan is a Ph.D. candidate in Operations Research within the Department of Management Science and Engineering at Stanford University.
Research interests: sequential learning and decision-making, stochastic modeling and simulation, statistical inference for stochastic processes -
Lingling Fan
Ph.D. Student in Electrical Engineering, admitted Autumn 2018
BioLingling Fan is a Ph.D. candidate in electrical engineering at Stanford University. Prior to her appointment at Stanford, she received her Bachelor of Science degree in physics, while she worked in the Department of Applied Physics at Yale University. Her research interests are in computational, experimental, and theoretical studies of photonic structures and devices, especially for neural networks, information processing, and radiative cooling applications. She has published more than 17 papers in this field, has given five invited talks at major international conferences, and currently holds one U.S. patent. Lingling is a recipient of the National Scholarship from the Ministry of education of China from 2015 to 2018, an Engineering Fellowship from Stanford University in 2018, and a CLEO presenter award in 2020.
