School of Engineering
Showing 1-10 of 11 Results
-
Jui-Hsien Wang
Ph.D. Student in Computational and Mathematical Engineering, admitted Autumn 2015
BioJui-Hsien Wang is a PhD student in Computational and Mathematical Engineering. He is broadly interested in computer graphics, physics-based animation/sound synthesis, and computational physics. He is currently under the advise of Professor Doug James in the Computer Science department at Stanford.
-
Shan X. Wang
Leland T. Edwards Professor in the School of Engineering and Professor of Electrical Engineering and, by courtesy, of Radiology (Molecular Imaging Program at Stanford)
Current Research and Scholarly InterestsDr. Wang is the Director of Stanford Center for Magnetic Nanotechnology, and the Co-PI of the Stanford Center for Cancer Nanotechnology Excellence. His research interests lie in nanotechnology and information storage, including magnetic/spintronic biochips, in vitro diagnostics, cell sorting, magnetic nanoparticles, nano-patterning, spin electronic materials and sensors, as well as magnetic integrated inductors and transformers.
-
Lewis Richard Warne
Masters Student in Computational and Mathematical Engineering, admitted Autumn 2018
BioI am an ICME student in my first year of the Mathematical and Computational Finance track. I received a bachelors in Finance and Economics summa cum laude from the University of Texas at Dallas in 2015 and worked as a Pricing Analyst for semiconductors at Maxim Integrated in San Jose until 2018. My passion is working with data and people.
-
Gordon Wetzstein
Assistant Professor of Electrical Engineering and, by courtesy, of Computer Science
BioGordon Wetzstein is an Assistant Professor of Electrical Engineering and, by courtesy, of Computer Science at Stanford University. He is the leader of the Stanford Computational Imaging Lab and a faculty co-director of the Stanford Center for Image Systems Engineering. At the intersection of computer graphics, machine vision, optics, scientific computing, and applied vision science, Prof. Wetzstein's research has a wide range of applications in next-generation imaging, display, wearable computing, and microscopy systems. Prior to joining Stanford in 2014, Prof. Wetzstein was a Research Scientist in the Camera Culture Group at MIT. He received a Ph.D. in Computer Science from the University of British Columbia in 2011 and graduated with Honors from the Bauhaus in Weimar, Germany before that. He is the recipient of an NSF CAREER Award, an Alfred P. Sloan Fellowship, an ACM SIGGRAPH Significant New Researcher Award, a Presidential Early Career Award for Scientists and Engineers (PECASE), a Terman Fellowship, an Okawa Research Grant, the Electronic Imaging Scientist of the Year 2017 Award, an Alain Fournier Ph.D. Dissertation Award, and a Laval Virtual Award as well as Best Paper and Demo Awards at ICCP 2011, 2014, and 2016 and at ICIP 2016.
-
H.-S. Philip Wong
Willard R. and Inez Kerr Bell Professor in the School of Engineering
BioWong joined Stanford in 2004 after 16 years at IBM Research, with appointments as research staff member, Manager, and Senior Manager. While at IBM, he was responsible for shaping and executing IBM's strategy on nanoscale science and technology and silicon technology. His interests are in the area of nanoscale science and technology, semiconductor technology, solid-state devices, and electronic imaging.
His present research covers a broad range of topics including carbon electronics, 2D layered materials, wireless implantable biosensors, directed self-assembly, nanoelectromechanical relays, device modeling, brain-inspired computing, and non-volatile memory devices such as phase change memory and metal oxide resistance change memory. -
Wing Hung Wong
Stephen R. Pierce Family Goldman Sachs Professor in Science and Human Health and Professor of Biomedical Data Science
Current Research and Scholarly InterestsCurrent interest centers on the application of statistics to biology and medicine. We are particularly interested in questions concerning gene regulation, genome interpretation and their applications to precision medicine.
