School of Engineering
Showing 101-110 of 763 Results
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E.J. Chichilnisky
John R. Adler Professor, Professor of Neurosurgery and of Ophthalmology and, by courtesy, of Electrical Engineering
Current Research and Scholarly InterestsFunctional circuitry of the retina and design of retinal prostheses
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Benjamin Choi
Masters Student in Electrical Engineering, admitted Autumn 2019
BioWebsite: benchoi.me
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Joonhee Choi
Assistant Professor of Electrical Engineering
BioJoonhee Choi is an Assistant Professor of Electrical Engineering at Stanford University. Joonhee received his Ph.D. and master’s from Harvard University, as well as master’s and bachelor’s degrees from Korea Advanced Institute of Science & Technology. Prior to joining Stanford, he worked as an IQIM postdoctoral fellow at the Institute for Quantum Information and Matter (IQIM) at Caltech. Joonhee’s research focus has been on engineering the dynamics of quantum many-body systems for both exploring fundamental science and demonstrating practical quantum applications. Throughout his career, he has worked in a wide variety of fields, including nonlinear nano-optics, ultrafast phenomena, solid-state and atomic physics, as well as quantum many-body physics. His expertise extends to practical applications in quantum metrology, communication, and information processing.
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Srabanti Chowdhury
Associate Professor of Electrical Engineering, Senior Fellow at the Precourt Institute for Energy and Associate Professor, by courtesy, of Materials Science and Engineering
Current Research and Scholarly InterestsWide bandap materials & devices for RF, Power and energy efficient electronics
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Paul Danzhe Chu
Graduate Visiting Researcher Student, Electrical Engineering
Stanford Student Employee, Medicine - Med/Gastroenterology and HepatologyBioPaul is currently a Visiting Student Researcher at Stanford University in the Electrical Engineering Department Lab, focusing on Deep Learning and AI Optimization since September 2023.
His academic and research interests lie primarily in Natural Language Processing (NLP), Data Analysis Visualization, and he is keen on diving deeper into Large Language Models (LLMs) in the future.
His work at Stanford involves collaborating with Prof. Mert Pilanci lab members to explore innovative solutions in AI, particularly in NLP and AI Optimization. By engaging in research at Stanford, Paul aspires to contribute to the advancement of AI technologies, in understanding and optimizing AI systems for practical applications.
Prior to joining Stanford, His journey in engineering began in France, where he embarked on a preparatory class in 2019, before securing his "Diplôme d'Ingénieur" from ISEP in Paris, in 2024.
