Stanford University
Showing 3,701-3,800 of 6,042 Results
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Luke Neal
Masters Student in Chemical Engineering, admitted Autumn 2025
BioI'm currently a process engineer at Merck working at the Formulation and Laboratory Experimentation Facility with a focus on oral solid dosage production. I recently graduated from Yale University with a Bachelor’s of Science in Chemical Engineering and an Energy Studies certificate. At Yale, I was on the Varsity Men's Tennis team. My internship experiences during undergraduate studies included working as a Process Engineering Intern in ExxonMobil’s Technology and Engineering division. I was focused on modeling the extraction of battery grade lithium from brine. I also gained experience in the renewable energy and green engineering fields though my internships at Tesla and West Environmental.
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Drew Nelson
Professor of Mechanical Engineering, Emeritus
BioResearch involves development of improved methods for predicting the fatigue life of engineering materials, incuding the effects of manufacturing processes, and investigation of new approaches in the field of experimental mechanics, such as determination of residual stresses using optical methods.
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Dale Nesbitt
Adjunct Lecturer, Management Science and Engineering
BioDr. Nesbitt has been teaching MSE 252 (Decision Analysis), MSE 352 (Professional Decision Analysis), MSE 353 (Advanced Decision Analysis), MSE 299 (Coercion Free Social Systems), and MSE 254 (The Ethical Analyst) in the department. He has practiced and taught in these fields, and economic modeling, for several decades.
Dr. Nesbitt has been researching Bayesian statistical analysis, ethics, and ethical theories in a general setting (i.e., personal ethics not necessarily associated with any particular field or discipline). His research focuses on ethics per se, not ethics related to a specific technology, commodity, discipline, area, or practice. He is currently focused on ethics from a socio-personal perspective, one in which coercion is minimized or sanctioned, one that blends the utilitarian approach of Harsanyi, Mill, Bentham, and others with the uncoerced game theory approach of Nash and Harsanyi. The objective of this research is to give a roadmap for people (and groups) to behave ethically and do good and also to be able to consider ethical decision making under uncertainty.
Dr. Nesbitt is completing a monograph on Bayesian Linear Regression intended to unify key dimensions of the field around a pure Bayesian probabilistic viewpoint, what he calls “unabashed Bayes.” The monograph is scheduled for completion in 2022. Dr. Nesbitt continues to research and practice Bayesian regression and probabilistic analysis, recently applying it to disciplines such as automobile selection, jet technology and fuel projection, and petrochemicals demand.
Dr. Nesbitt has focused for many years on building economic-environmental models of the key energy commodities—oil and refined products, natural gas, petrochemicals, automobiles, electric power generation, natural gas and electricity storage, renewable energy, environmental emissions and remediation, and demand/emission. His models and work in the field are well known, extending the classical economic equilibrium approach.
Dr. Nesbitt has worked and published in the field of semi-Markovian Decision Problems (the area of his thesis at Stanford), energy economics, cartels and monopolies, methods for modeling markets, Bayesian statistics, and free (meaning uncoerced) social systems. -
Brett Newman
Lecturer, d.school
BioAcademic
2013 - 2018 : Stanford : Lecturer : Visual Thinking, ME115C: Design and Business Factors
2018 - Present : Stanford : Lead Lecturer : Design 161 Capstone
Professional
2004 - 2007 : Azud : VP Product
2007 - Present : Daylight Design : Partner -
Liem M. Nguyen
Ph.D. Student in Management Science and Engineering, admitted Summer 2026
Masters Student in Management Science and Engineering, admitted Autumn 2019Current Research and Scholarly InterestsDevelopment of machine learning methods to identify structures and processes that promote high quality health care using large databases of electronic health record metadata.
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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, Computer Science
Biohttps://cs.stanford.edu/people/niemetz
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Kopal Nihar
Postdoctoral Scholar, Civil and Environmental Engineering
BioI am a postdoctoral scholar working with Dr. Catherine Gorle, Dr. Sarah Billington and Dr. Rishee Jain. I also did a PhD from Stanford advised by Dr Rishee Jain 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 cooling.
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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.
