School of Engineering
Showing 51-100 of 144 Results
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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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Brett Newman
Lecturer
BioBrett co-founded Daylight Design in 2007 and remains a partner there.
At Stanford he has taught, ME101: Visual Thinking & ME115C: Design & Business Factors
He now leads the teaching team for 216B & 216C: Product Design Undergraduate Capstone (2018-Present) -
Sharon Newman
Ph.D. Student in Bioengineering, admitted Autumn 2018
Masters Student in Electrical Engineering, admitted Winter 2018BioI am interested in increasing access to medical technologies, particularly in low-resource settings. As a PhD student, I develop computational and bio-analytical technologies for early detection of disease, presently focusing on methods to increase sensitivity and multiplexing capabilities in diagnostic devices. Through developing these systems, I get to explore and play with subjects such as statistical modeling, image processing, manipulation and design of molecular systems, and optimization techniques. As a student, I have gotten to take classes ranging from many project based AI/ML computation courses to mathematics in linear dynamical systems to deep dives into chemistry of therapeutic drug development. As I wrap up my PhD, I look forward to bringing my wide base of experiences in both computational and biological realms towards breakthroughs in precision health and diagnostics amenable to lower resource settings at the last mile.
I also am always excited to teach and mentor, and have been involved with a myriad of opportunities including curriculum development and teaching AI/ML to high school students in US and India, K-12 STEM outreach in US, Scratch curriculum teaching to teachers in Taiwan, and graduate level courses such as Biological macromolecules to Stanford students! Im always happy to chat about how to best reach and inspire students and people of all ages, so please reach out! -
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. -
Juan Carlos Niebles Duque
Sr Res Engineer
Current Research and Scholarly InterestsThe goal of my research is to enable computers and robots to perceive the visual world by developing novel computer vision algorithms for automatic analysis of images and videos. We tackle fundamental open problems in computer vision research related to the visual recognition and understanding of human actions and activities, objects, scenes, and events. We also develop systems that solve practical world problems by introducing cutting-edge computer vision technologies into new domains.
