School of Engineering
Showing 51-100 of 145 Results
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Bradley Nelson
Ph.D. Student in Computational and Mathematical Engineering, admitted Autumn 2014
Current Research and Scholarly InterestsMachine Learning, Topological Data Analysis
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Drew Nelson
Professor of Mechanical Engineering
BioResearch involves development of improved methods for predicting the fatigue life of engineering materials, incuding the effects of manufacturing processes, and investigation of new approaches in the field of experimental mechanics, such as determination of residual stresses using optical methods.
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Lars Thorben Neustock
Ph.D. Student in Electrical Engineering, admitted Autumn 2015
Current Research and Scholarly InterestsLars's research interest lies at the intersection of optimization, applied physics and numerical methods. He is interested in understanding how we can use modern numerical methods and optimization techniques to improve physical devices in photon and charged particle optics. Hereby, the shape and topology of a device oftentimes plays a crucial role in its behavior. Lars is building computational models, including the application of adjoint design sensitivity analysis, to improve device shapes.
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Viet Anh Nguyen
Postdoctoral Research Fellow, Management Science and Engineering
BioViet Anh Nguyen is currently a postdoctoral researcher at Stanford Universy, working with Professor Jose Blanchet and Professor Yinyu Ye. He received his doctoral degree in Management of Technology from Ecole Polytechnique Federale de Lausanne in 2019, where he worked with Daniel Kuhn and Peyman Mohajerin-Esfahani. Previously, he received a Bachelor of Engineering and a Master of Engineering in Industrial and Systems Engineering from the National University of Singapore in 2011 and 2013 respectively. He also holds a Diplome d'Ingenieur (promotion Gustave Eiffel) from Ecole Centrale des Arts et Manufactures (Ecole Centrale de Paris). He graduated from the Swiss Program for Beginning Doctoral Students in Economics at the Study Center Gerzensee in 2014.
He is interested in very large-scale decision making under uncertainty, statistical optimization and machine learning with applications in energy systems, operations management, and data/policy analytics.
