School of Engineering
Showing 101-150 of 361 Results
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Zengxiao He
Masters Student in Electrical Engineering, admitted Autumn 2024
BioHi! I’m Zengxiao He, a graduate student in Electrical Engineering at Stanford University, where I focus on artificial intelligence, deep learning, and computer vision. I completed my undergraduate degree in Software Engineering in China, where I developed a passion for creating real-world applications that improve people's lives.
I’m constantly curious about the latest advancements in technology, and I enjoy exploring innovative solutions to complex problems. I also have experience as a co-founder of HealX AI, a Chinese startup focused on using AI for medical diagnostics and healthcare improvement.
I am highly intrigued by the vibrant startup ecosystem in Silicon Valley and would love to connect with anyone who shares similar interests in AI, entrepreneurship, and technology. Let’s connect and explore how we can create impactful technologies together! -
Manchen Hu
Ph.D. Student in Electrical Engineering, admitted Autumn 2020
Student Trainer, Stanford Nano Shared Facilities Service CenterBioManchen Hu is an expert in optoelectronic engineering, with a specialization in the development of perovskite optoelectronic devices. He earned his bachelor's degree from Huazhong University of Science and Technology in Optoelectronic Engineering and a Master of Science degree from Stanford University in Electrical Engineering. Manchen possesses a deep passion for exploring light-matter interactions and light-emitting devices. His expertise uniquely positions him at the intersection of optics, electronics, and materials, equipping him with the skills necessary to optimize device performance and functionality. As an innovator in his field, Manchen is keen on collaborative endeavors that push the boundaries of optoelectronic research and applications.
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Mahnaz Islam
Ph.D. Student in Electrical Engineering, admitted Autumn 2019
Current Research and Scholarly InterestsMy current research focuses on understanding the physics of insulator-metal-transition (IMT) oxides such as niobium oxide and lanthanum cobalt oxide for applications in memory selectors and spike generators in brain-like computing.
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Andrei Kanavalau
Ph.D. Student in Electrical Engineering, admitted Autumn 2020
BioAndrei is a PhD candidate in the Electrical Engineering department at Stanford. His research focuses on augmenting control algorithms with machine learning while preserving safety and stability guarantees.