School of Engineering
Showing 4,001-4,050 of 6,463 Results
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Sabrina Nicacio
Masters Student in Aeronautics and Astronautics, admitted Autumn 2025
BioSabrina Nicacio is a Knight-Hennessy Scholar and graduate student in Aeronautics and Astronautics at Stanford University, specializing in Guidance, Navigation, and Control (GNC). She earned her B.S.E. in Mechanical and Aerospace Engineering from Princeton University with a Minor in Robotics and Intelligent Systems.
Sabrina has delivered technical results across leading aerospace institutions—designing flight hardware for Starship launch operations at SpaceX, developing multi-robot navigation algorithms for NASA JPL’s CADRE lunar mission at Stanford, and improving heat treatment processes for 3D-printed turbine blades at MIT. Her senior thesis at Princeton introduced a fuel-optimal reconfiguration framework for satellite swarms, applying convex optimization to orbital dynamics.
Sabrina is focused on building scalable, autonomous systems for spacecraft coordination and precision navigation. Her work reflects a deep technical foundation and a drive to solve mission-critical challenges in spaceflight. -
Aina Niemetz
Senior Research Engineer
Biohttps://cs.stanford.edu/people/niemetz
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Kopal Nihar
Postdoctoral Scholar, Civil and Environmental Engineering
BioI am a PhD candidate advised by Dr Rishee Jain and working at Urban Informatics Lab. My research interest lies in understanding data-driven human-building interactions and impact of indoor air quality on occupant behaviour, especially for the purpose of natural ventilation.
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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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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.
