School of Engineering
Showing 4,451-4,500 of 6,554 Results
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Ada Poon
Associate Professor of Electrical Engineering
Current Research and Scholarly InterestsOur research focuses on providing theoretical foundations and engineering platforms for realizing electronics that seamlessly integrate with the body. Such systems will allow precise recording or modulation of physiological activity, for advancing basic scientific discovery and for restoring or augmenting biological functions for clinical applications.
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Eric Pop
Pease-Ye Professor, Professor of Electrical Engineering, Senior Fellow at the Precourt Institute for Energy and Professor, by courtesy, of Materials Science and Engineering and of Applied Physics
Current Research and Scholarly InterestsThe Pop Lab explores problems at the intersection of nanoelectronics and nanoscale energy conversion. These include fundamental limits of current and heat flow, energy-efficient transistors and memory, and energy harvesting via thermoelectrics. The Pop Lab also works with novel nanomaterials like carbon nanotubes, graphene, BN, MoS2, and their device applications, through an approach that is experimental, computational and highly collaborative.
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J David Powell
Professor of Aeronautics and Astronautics and of Mechanical Engineering, Emeritus
BioEDUCATION:
1960 - B.S. Mechanical Engineering, M.I.T.
1966 - M.S. Aeronautics & Astronautics, Stanford
1970 - Ph.D. Aeronautics & Astronautics, Stanford
EXPERIENCE:
1960-1961 - Engine Design and Testing Engineer at Outboard Marine Corp.
1961-1967 – Engineer at Lockheed in the field of Aerospace Guidance and Control
1967-1968 – Engineer at Analytical Mechanics Associates
1968-1970 – Engineer, Systems Control, Inc. Parameter ID of aircraft models from flight data, automatic generation of approach paths for Air Traffic Control. Attended Stanford University specializing in control systems.
1971 – 1998 – Member of the Stanford Faculty in the Aeronautics and Astronautics Department. His research has included spacecraft pointing, space tether dynamics and control, internal combustion engine control, the design of aerospace digital flight control systems, GPS-based attitude determination augmented with inertial sensors, and the use of GPS for air and land vehicle surveillance and navigation. He taught courses in aerospace control including radio and inertial navigation, optimization and digital implementations and is a coauthor of two of the leading control textbooks. He is also an author or coauthor on over 100 papers.
1998 – present – Emeritus faculty carrying out research in Aeronautics and Astronautics at Stanford Univ. Recent focus of research is the use of GPS-based attitude determination augmented with inertial sensors, applications of the FAA’s WAAS for enhanced pilot displays, flight inspection of aircraft landing systems, and the use of WAAS and new displays to enable closer spacing of parallel runways.
SOCIETY MEMBERSHIPS
AIAA (Fellow), ASME (Fellow), SAE, IEEE, ION
CONSULTANT TO: (over past several years)
Seagull Technology
Sequoia Instruments
Engine Control and Monitoring
Transparent Networks
Pratt and Whitney (Technical Advisory Committee)
Sensor Platforms
OTHER RECENT ACTIVITIES
Co-Founder, CEO, and Director of GyroSat Corp. 1999 – 2000
Director of Sequoia Instruments, 2001 – 2005
Aircraft owner and licensed instrument pilot
National Research Council Panel member for the review of NASA airspace activities, 2003
Board of Directors, Mechanics Bank, Richmond, CA., 2003 – 2015
Board of Directors, ExactBid, Inc. 2014-present. -
Balaji Prabhakar
VMware Founders Professor of Computer Science, Professor of Electrical Engineering and, by courtesy, of Operations, Information and Technology at the Graduate School of Business
BioPrabhakar's research focuses on the design, analysis, and implementation of data networks: both wireline and wireless. He has been interested in designing network algorithms, problems in ad hoc wireless networks, and designing incentive mechanisms. He has a long-standing interest in stochastic network theory, information theory, algorithms, and probability theory.
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Manu Prakash
Associate Professor of Bioengineering, Senior Fellow at the Woods Institute for the Environment and Associate Professor, by courtesy, of Oceans
BioWe use interdisciplinary approaches including theory and experiments to understand how computation is embodied in biological matter. Examples include cognition in single cell protists and morphological computing in animals with no neurons and origins of complex behavior in multi-cellular systems. Broadly, we invent new tools for studying non-model organisms with significant focus on life in the ocean - addressing fundamental questions such as how do cells sense pressure or gravity? Finally, we are dedicated towards inventing and distributing “frugal science” tools to democratize access to science (previous inventions used worldwide: Foldscope, Abuzz), diagnostics of deadly diseases like malaria and convening global citizen science communities to tackle planetary scale environmental challenges such as mosquito surveillance or plankton surveillance by citizen sailors mapping the ocean in the age of Anthropocene.
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Robert Prakash
Chief Technology Officer & Chief Operating Officer, Stanford Engineering Center for Global and Online Education
Current Role at StanfordChief Technology Officer & Chief Operating Officer, Stanford Engineering | Center for Global & Online Education
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Amanda Pratt
Ph.D. Student in Management Science and Engineering, admitted Autumn 2022
BioAmanda Pratt is a Ph.D. candidate in Management Science at Stanford University, where she is part of the Center for Work, Technology, and Organization. Her research interests include how organizations must change to adopt technology – particularly data and ML-based technologies - and how technology changes them. Prior to returning to school, Amanda was a Principal at Keystone Strategy, a technology-focused consulting firm. Amanda holds a bachelor's degree in engineering from Olin College, a master's degree in engineering from UC Berkeley, and an MBA from Harvard University.
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Friedrich Prinz
Leonardo Professor, Professor of Mechanical Engineering, of Materials Science and Engineering and Senior Fellow at the Precourt Institute for Energy
BioFritz Prinz is the Leonardo Professor in the School of Engineering at Stanford University, Professor of Materials Science and Engineering, Professor of Mechanical Engineering, and Senior Fellow at the Precourt Institute for Energy. He also serves as the Director of the Nanoscale Prototyping Laboratory and Faculty Co-director of the NPL-Affiliate Program. A solid-state physicist by training, Prinz leads a group of doctoral students, postdoctoral scholars, and visiting scholars who are addressing fundamental issues on energy conversion and storage at the nanoscale. In his Laboratory, a wide range of nano-fabrication technologies are employed to build prototype fuel cells and capacitors with induced topological electronic states. We are testing these concepts and novel material structures through atomic layer deposition, scanning tunneling microscopy, impedance spectroscopy and other technologies. In addition, the Prinz group group uses atomic scale modeling to gain insights into the nature of charge separation and recombination processes. Before coming to Stanford in 1994, he was on the faculty at Carnegie Mellon University. Prinz earned a PhD in Physics at the University of Vienna.
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Adrienne Propp
Ph.D. Student in Computational and Mathematical Engineering, admitted Autumn 2021
BioI am a fourth year PhD student in ICME (the Institute for Computational and Mathematical Engineering). Prior to Stanford, I was working as a technical analyst at the RAND Corporation where I spent most of my time designing microsimulations and other models to investigate topics in healthcare, education, disaster relief, and international relations.
My research interests lie at the intersection of mathematics, data, and modeling, which has led me to a focus on scientific machine learning (SciML). Specifically, I am working on developing new graph-based surrogate modeling methods for low-data regimes. I am grateful to be advised by Daniel Tartakovsky, During my PhD, I have also collaborated with Jenny Suckale to model volcanic lava fountaining, and Susan Athey and Sanath Kumar Krishnamurthy to design improved algorithms for contextual bandits.
Past research projects have ranged from computational models of the heart to inverse modeling to predict satellite performance. -
Alejandro Pulido
Undergraduate, Mechanical Engineering
BioSophomore in the class of 2028 studying Mechanical Engineering!
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Patrick Lee Purdon
Professor of Anesthesiology, Perioperative and Pain Medicine (Department Research) and, by courtesy, of Bioengineering
BioMy research integrates neuroimaging, biomedical signal processing, and the systems neuroscience of general anesthesia and sedation.
My group conducts human studies of anesthesia-induced unconsciousness, using a variety of techniques including multimodal neuroimaging, high-density EEG, and invasive neurophysiological recordings used to diagnose medically refractory epilepsy. We also develop novel methods in neuroimaging and biomedical signal processing to support these studies, as well as methods for monitoring level of consciousness under general anesthesia using EEG. -
Lei (Stanley) Qi
Associate Professor of Bioengineering
BioDr. Lei (Stanley) Qi (publishes as Lei S. Qi) is an Associate Professor in the Department of Bioengineering at Stanford University, an Institute Scholar at Sarafan ChEM-H, and a Chan Zuckerberg Biohub Investigator. Trained in physics and mathematics (Tsinghua University) and bioengineering (UC Berkeley), he was a Systems Biology Fellow at UCSF before joining the Stanford faculty in 2014.
Qi is a pioneer in CRISPR technology and genome engineering. His lab created the first nuclease-deactivated Cas9 (dCas9) for targeted gene regulation, establishing CRISPR interference (CRISPRi) and CRISPR activation (CRISPRa). Since then, his group has expanded CRISPR from an editing tool into a platform for programmable control of dynamic and spatial cell state, integrating scalable perturbation, live-cell and super-resolution imaging, and computation-guided design. This work has produced technologies for multiplexed transcriptome regulation, programmable 3D genome organization, spatial RNA logistics control, and real-time visualization of chromatin and transcriptional events in living cells.
A distinctive focus of the Qi lab is closed-loop biology, combining perturbation with high-content measurements to infer mechanisms and iteratively refine control strategies. The lab develops platforms spanning multiplexed transcriptional and epigenetic control, spatial genome–transcriptome organization, and quantitative live-cell imaging of chromatin and transcriptional dynamics. A compact nuclease-dead CRISPR epigenetic editor from this technology lineage has advanced to first-in-human clinical testing for facioscapulohumeral muscular dystrophy (FSHD; NCT06907875), underscoring the translational potential of principle-driven control systems.
Beyond single-cell control, Qi’s lab is building a framework for synthetic cell–cell communication, with particular emphasis on the bidirectional interplay between immune cells and neurons. The lab’s goal is to move beyond describing molecular parts to discovering fundamental control principles in living systems: how regulatory landscapes create stable states and memory, how spatial genome–RNA organization shapes dynamic responses, and how engineered cell–cell interactions can generate emergent multicellular behaviors. By integrating experimental bioengineering with computation and machine learning, the lab aims to identify generalizable rules linking molecular programs to systems-level physiology and disease trajectories and to translate those rules into next-generation therapeutic cells.
