School of Engineering
Showing 3,741-3,760 of 5,933 Results
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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.
