School of Engineering
Showing 3,701-3,800 of 5,909 Results
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Yoshio Nishi
Professor (Research) of Electrical Engineering, Emeritus
Current Research and Scholarly Interestsresistive switching nonvolatile memory mechanism, and 2D materials and devices
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Dwight Nishimura
Addie and Al Macovski Professor, Emeritus
Current Research and Scholarly Interestsmedical imaging, magnetic resonance imaging
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Frederick U Nitta
Ph.D. Student in Electrical Engineering, admitted Autumn 2024
BioFrederick received his B.S. with EE and Chemistry from Stanford (2024), alongside a co-term in MSE (2024) at Stanford. He completed his EE honors thesis with Prof. Krishna Saraswat and Prof. Eric Pop on the efficiency limits of transition metal dichalcogenide (TMD) solar cells, receiving the Firestone Medal for Excellence in Undergraduate Research. He is now pursuing his Ph.D. in EE, on 3R-phase TMDs and their bulk photovoltaic effect, and on the physics and applications of transition metal oxides. He is co-advised by Prof. Eric Pop and Prof. Andrew Mannix.
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Kelvin Niu
Learning Experience And Technology Support (Lets), Freshman and Sophomore Programs (FSP)
Undergraduate, Hasso Plattner Institute of Design
Stanford Stdnt Employee-Summer, Pathology Sponsored Projects
Student Scenic Technician, Theater and Performance StudiesBioLighting Design Portfolio: https://sites.google.com/view/kelvin-niu/home
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William Nix
Lee Otterson Professor in the School of Engineering, Emeritus
BioI have been engaged in the study of mechanical properties of materials for nearly 50 years. My early work was on high temperature creep and fracture of metals, focusing on techniques for measuring internal back stresses in deforming metals and featuring the modeling of diffusional deformation and cavity growth processes. My students and I also studied high temperature dispersion strengthening mechanisms and described the effects of threshold stresses on these creep processes. Since the mid-1980's we have focused most of our attention on the mechanical properties of thin film materials used in microprocessors and related devices. We have developed many of the techniques that are now used to study of thin film mechanical properties, including nanoindentation, substrate curvature methods, bulge testing methods and the mechanical testing of micromachined (MEMS) structures. We are also known for our work on the mechanisms of strain relaxation in heteroepitaxial thin films and plastic deformation of thin metal films on substrates. In addition we have engaged in research on the growth, characterization and modeling of thin film microstructures, especially as they relate to the development of intrinsic stresses. Some of our recent work dealt with the mechanical properties of nanostructures and with strain gradients and size effects on the mechanical properties of crystalline materials. Our most recent work deals with the mechanical properties of lithiated nanostructures that are being considered for lithium-ion battery applications.
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Hae Young Noh
Professor of Civil and Environmental Engineering
BioHae Young Noh is a professor in the Department of Civil and Environmental Engineering. Her research introduced the new concept of “structures as sensors” to enable physical structures (e.g., buildings and vehicle frames) to be user- and environment-aware. In particular, these structures indirectly sense humans and surrounding environments through their structural responses (i.e., vibrations) by inferring the desired information (e.g., human behaviors, environmental conditions, heating and cooling system performance), instead of directly measuring the sensing targets with additional dedicated sensors (e.g., cameras, motion sensors). This concept brought a paradigm shift in how we view these structures and how the structures interact with us.
Traditionally, structures that we inhabit (such as buildings or vehicles) are considered as passive and unchanging objects that we need to monitor and control, utilizing a dense set of sensors to collect information. This has often been complicated by “noise” caused by the occupants and environments. For example, building vibrations induced by indoor and outdoor environmental and operational conditions (e.g., people walking around, traffic outside, heating system running, etc.), have been often seen as noise that needs to be removed in traditional building science and structural engineering; however, they are a rich source of information about structure, users, environment, and resources. Similarly, in vehicle engineering, researchers and engineers have been investigating control and dynamics to reduce vehicle vibration for safety and comfort. However, vibrations measured inside vehicles contain information about transportation infrastructure, vehicle itself, and driver.
Noh's work utilizes this “noise” to empower the structures with the ability to perceive and understand the information about users and surroundings using their own responses, and actively adopt and/or interact to enhance their sustainability and the occupants’ quality of life. Since she utilizes the structure itself as a sensing medium, information collection involves a simpler set of hardware that can be easily maintained throughout the structural lifetime. However, the analysis of data to separate the desired information becomes more challenging. This challenge is addressed through high-rate dynamic sensing and multi-source inferencing. Ultimately, her work aims to allow structural systems to become general sensing platforms that are easier and more practical to deploy and maintain in a long-term.
At Stanford University, Noh received her PhD and MS degrees in the CEE department and her second MS degree in Electrical Engineering. Noh earned her BS in Mechanical and Aerospace Engineering at Cornell University. -
Dimitrios (Dimitris) Ntounis
Ph.D. Student in Physics, admitted Summer 2022
Ph.D. Minor, Computer ScienceCurrent Research and Scholarly InterestsExperimental Particle Physics, High Energy Physics, Future Colliders
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Paul Nuyujukian
Assistant Professor of Bioengineering and of Neurosurgery
Current Research and Scholarly InterestsOur group explores neuroengineering and its application to both basic and clinical neuroscience. Our goal is to develop brain-machine interfaces as a platform technology for a variety of brain-related medical conditions including stroke and epilepsy.
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Pablo Nuñez Martinez
Masters Student in Aeronautics and Astronautics, admitted Autumn 2025
BioPablo Nuñez Martínez is a first-year M.S. student in Aeronautics and Astronautics at Stanford University. He earned his B.S. in Mechanical Engineering from Tecnológico de Monterrey, where he graduated with academic honors and founded ELYOS Racing Team, a student initiative dedicated to designing ultra-efficient vehicles. Under his leadership, ELYOS raised over $100,000 USD in sponsorships, placed 4th at the Shell Eco-marathon Americas in both 2024 and 2025, and achieved major aerodynamic and structural advances through CFD-driven optimization and composite lightweighting. He also contributed to McGill Formula Electric in Montréal, where he worked on aerodynamics and chassis design, developing composite monocoque concepts, CFD-based downforce devices, and optimization codes for laminate theory using genetic algorithms.
Pablo’s academic and research interests include aerodynamics, lightweight structures, advanced composite materials, and spacecraft systems. He is particularly interested in the development of next-generation aerospace vehicles that integrate aerodynamic efficiency, adaptability, and sustainability. His long-term goal is to contribute to the design of innovative space systems and sustainable technologies that push the boundaries of aerospace engineering. -
Juyoung Oh
Postdoctoral Scholar, Mechanical Engineering
BioJuyoung Oh is a Postdoctoral Scholar at Stanford University. Her research focuses on understanding and harnessing thermal runaway phenomena in rechargeable batteries to enable controllable propulsion thrust. With a strong background in the thermochemical analysis of metal-based solid energetic materials, her work aims to elucidate the fundamental mechanisms governing thermal runaway in lithium-metal batteries, with particular emphasis on interfacial chemistry and thermodynamic behavior. Through this approach, she seeks to integrate battery and thruster functionalities into a unified system, advancing next-generation aerospace–battery technologies.
Prior to joining Stanford, Dr. Oh was a Postdoctoral Associate at Rice University. She received her Ph.D. in Aerospace Engineering from Seoul National University (SNU). Her academic achievements include the Best Doctoral Thesis Award (2022) and the Korean-American Women in Science and Engineering (KWiSE) Young Scientist Scholarship (2025). -
Allison Okamura
Richard W. Weiland Professor in the School of Engineering and Professor of Mechanical Engineering
Current Research and Scholarly InterestsMy research focuses on developing the principles and tools needed to realize advanced robotic and human-machine systems capable of physical interaction. Application areas include surgery, simulation and training, rehabilitation, prosthetics, neuromechanics, exploration of hazardous and remote environments (e.g. space), design, and education.
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Kunle Olukotun
Cadence Design Systems Professor, Professor of Electrical Engineering and of Computer Science
BioKunle Olukotun is the Cadence Design Professor of Electrical Engineering and Computer Science at Stanford University. Olukotun is a pioneer in multicore processor design and the leader of the Stanford Hydra chip multiprocessor (CMP) research project. He founded Afara Websystems to develop high-throughput, low-power multicore processors for server systems. The Afara multi-core processor, called Niagara, was acquired by Sun Microsystems and now powers Oracle's SPARC-based servers. In 2017, Olukotun co-founded SambaNova Systems, a Machine Learning and Artificial Intelligence company, and continues to lead as their Chief Technologist.
Olukotun is the Director of the Pervasive Parallel Lab and a member of the Data Analytics tor What's Next (DAWN) Lab, developing infrastructure for usable machine learning. He is a member of the National Academy of Engineering, an ACM Fellow, and an IEEE Fellow for contributions to multiprocessors on a chip design and the commercialization of this technology. He also received the Harry H. Goode Memorial Award.
Olukotun received his Ph.D. in Computer Engineering from The University of Michigan. -
Abdulwahab Omira
Undergraduate, Computer Science
BioRobotics and Physics researcher interested in AI and advanced power generation systems. Focused on improving efficiency and output in multiple forms of genertation technologies, including renewable, thermal, and chemical. Owner of four patents in nuclear waste processing, disposal, and solar power systems with developing projects in medical and other commercial robotic applications.
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Simona Onori
Associate Professor of Energy Science Engineering and Senior Fellow at the Precourt Institute for Energy
Current Research and Scholarly InterestsModeling, control and optimization of dynamic systems;
Model-based control in advanced propulsion systems;
Energy management control and optimization in HEVs and PHEVs;
Energy storage systems- Li-ion and PbA batteries, Supercapacitors;
Battery aging modeling, state of health estimation and life prediction for control;
Damage degradation modeling in interconnected systems -
Colin Ophus
Associate Professor of Materials Science and Engineering and Center Fellow at the Precourt Institute for Energy
BioColin Ophus is an Associate Professor in the Department of Materials Science and Engineering, and the L&S Family Center Fellow in Energy and Sustainability at the Precourt Institute for Energy. He previously worked as a Staff Scientist at the National Center for Electron Microscopy (NCEM), part of the Molecular Foundry, at Lawrence Berkeley Lab. He was awarded a US Department of Energy (DOE) Early Career award in 2018, and the Burton medal from the Microscopy Society of America (MSA) in 2018. His research focuses on experimental methods, reconstruction algorithms, and software codes for simulation, analysis, and instrument design of transmission electron microscopy (TEM) and scanning TEM (STEM).
Colin advocates for open science and his group has developed open-source scientific software including as the quantitative electron microscopy (quantEM) analysis code, the Prismatic STEM simulation code and the py4DSTEM analysis toolkit. He has taught many workshops around the world on topics ranging from scientific visualization to large scale data analysis. He also is the founder and editor-in-chief for a new journal based on interactive science communication named Elemental Microscopy.
