School of Engineering
Showing 301-345 of 345 Results
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Elizabeth Wig
Ph.D. Student in Electrical Engineering, admitted Autumn 2020
Sr. Trip Leader, Recreation Adventure ProgramsBioHi, I’m Elizabeth Wig! I’m a PhD student in electrical engineering at Stanford, and I research how we can use radar remote sensing to understand more about processes on Earth. I work mainly on InSAR (interferometric synthetic aperture radar), which looks at how radar phase changes from one image to another to tell us how Earth is changing. I’m particularly interested in measuring how vegetation and soil moisture change in dynamic environments, like agricultural areas and permafrost regions. My favorite types of problems involve modeling how electromagnetic waves interact with their environment, and then combining those models with real-world data to learn more about the environment by analyzing the waves that pass through it.
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Robin Linus
Ph.D. Student in Electrical Engineering, admitted Autumn 2024
BioCypherpunk | Bitcoin researcher | Creator of BitVM
Focusing on the scalability, privacy, and usability of Bitcoin.
https://robinlinus.com -
Xiangjin Wu
Ph.D. Student in Electrical Engineering, admitted Autumn 2021
BioXiangjin Wu is a Ph.D. candidate in the Department of Electrical Engineering at Stanford University, co-advised by Prof. Eric Pop and Prof. H.-S. Philip Wong. He received his B.S. in Physics with Honors from Nanjing University in 2020. His research focuses on novel materials and heterostructures for memory applications, including phase change memory (PCM), dynamic random-access memory (DRAM), and their interconnects. Xiangjin is a recipient of the Samsung fellowship.
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Jerry Yang
Ph.D. Student in Electrical Engineering, admitted Autumn 2020
BioJerry A. Yang is a PhD student in electrical engineering at Stanford University. He received his BS in electrical engineering from the University of Texas at Austin and MA in Education from Stanford University. He currently works on strain engineering in two-dimensional materials in Prof. Eric Pop's lab. In addition, he works on equity issues in engineering education in Prof. Sheri Sheppard's Designing Education Lab. His research interests span novel materials, devices, and systems for next-generation computing, engineering education research methods, and critical theories in engineering education. He is a student member of the Institute for Electrical and Electronics Engineers (IEEE), Materials Research Society (MRS), and American Society of Engineering Education (ASEE).
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Bill Yen
Ph.D. Student in Electrical Engineering, admitted Autumn 2023
Masters Student in Electrical Engineering, admitted Spring 2025BioBill Yen is a Ph.D. candidate in the Department of Electrical Engineering at Stanford University working in the area of low-power Internet of Things (IoT) systems. He is an interdisciplinary maker and environmental scientist passionate about solving issues related to food, water, and energy using smart technologies.
Yen's experience in industry (General Motors, CNH Industrial) and academic research (Northwestern - soil-powered computing, Stanford - low-power wireless communication) cultivated his interest in designing self-powered computing devices that boost system efficiency while lowering the environmental impact of existing processes. His work has been featured by The Independent, Fast Company, MIT Technology Review China, Hackster.io, and more. He is also a recipient of the Stanford Graduate Fellowship in Science & Engineering. -
Jeffrey Yu
Ph.D. Student in Electrical Engineering, admitted Autumn 2023
BioI am a first year EE Ph.D. student majoring at Stanford University. I received my M.S. degree in Electrical Engineering from Stanford University in 2023 and my B.S. degree in Computer Engineering from UC San Diego in 2021. I am interested in DNN quantization and digital accelerator design.
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Orr Zohar
Ph.D. Student in Electrical Engineering, admitted Autumn 2021
Masters Student in Computer Science, admitted Autumn 2023BioOrr Zohar, from Haifa, Israel, is pursuing a PhD in electrical engineering at Stanford School of Engineering. He graduated summa cum laude from the Technion with a bachelor's degree in chemical engineering and a master’s degree in electrical engineering. Orr aspires to research, develop, and translate novel machine learning methods into the open surgical domain for applications such as AI-assisted surgery and surgical skill evaluation. Currently, developing novel learning methods in open-world learning and action quality evaluation at MARVL, advised by Prof. Serena Yeung.
Before coming to Stanford, he was a machine learning and algorithms engineer at proteanTecs and a junior researcher at the Technion's LNBD, where he developed soft electronic platforms that can heal, detect damage, and serve as multifunctional electronic skins. During his undergraduate degree, Orr worked as a visiting undergraduate researcher at the de la Zerda group, Stanford University, where he developed OCT image processing algorithms for improved molecular contrast and depth-of-field. Orr is a Bazan Group scholar and was awarded the Sieden family prize for his contributions to YBCO-based photon detectors' development.
