School of Engineering
Showing 3,801-3,900 of 5,933 Results
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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. -
Leonard Ortolano
UPS Foundation Professor of Civil Engineering in Urban and Regional Planning, Emeritus
BioOrtolano is concerned with environmental and water resources policy and planning. His research stresses environmental policy implementation in developing countries and the role of non-governmental organizations in environmental management. His recent interests center on corporate environmental management.
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Brad Osgood
Professor of Electrical Engineering and, by courtesy, in Education
BioOsgood is a mathematician by training and applies techniques from analysis and geometry to various engineering problems. He is interested in problems in imaging, pattern recognition, and signal processing.
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Khalid Osman
Assistant Professor of Civil and Environmental Engineering and Center Fellow, by courtesy, at the Woods Institute for the Environment
BioKhalid Osman joined the department as an Assistant Professor of Civil and Environmental Engineering in autumn of 2022. His research spans the use of mixed quantitative-qualitative methods to assess public perceptions of water infrastructure, water conservation efforts, and the management of existing infrastructure systems to meet the needs of those being served by the systems. He currently is focused on the operationalization of equity in water sector infrastructure, conceptualizing equity in decentralized water and sanitation systems, water affordability, and stakeholder-community engagement in sustainable civil infrastructure systems for achieving environmental justice.
Khalid was the holder of a Bill and Melinda Gates Millennium Scholars Graduate Fellowship and also a Ford Foundation Predoctoral Fellowship. -
Nicholas Ouellette
Professor of Civil and Environmental Engineering
Current Research and Scholarly InterestsThe Environmental Complexity Lab studies self-organization in a variety of complex systems, ranging from turbulent fluid flows to granular materials to collective motion in animal groups. In all cases, we aim to characterize the macroscopic behavior, understand its origin in the microscopic dynamics, and ultimately harness it for engineering applications. Most of our projects are experimental, though we also use numerical simulation and mathematical modeling when appropriate. We specialize in high-speed, detailed imaging and statistical analysis.
Our current research includes studies of turbulence in two and three dimensions, with a focus on coherent structures and the geometry of turbulence; the transport of inertial, anisotropic, and active particles in turbulence; the erosion of granular beds by fluid flows and subsequent sediment transport; quantitative measurements of collective behavior in insect swarms and bird flocks; the stability of ocean ecosystems; neural signal processing; and uncovering the natural, self-organized spatiotemporal scales in urban systems. -
John Ousterhout
Leonard Bosack and Sandy K. Lerner Professor of Engineering and Professor of Computer Science, Emeritus
Current Research and Scholarly InterestsOusterhout's research ranges across a variety of topics in system software, software development tools, and user interfaces. His current research is in the area of granular computing: new software stack layers that allow the execution of large numbers of very small tasks (as short as a few microseconds) in a datacenter. Current projects are developing new techniques for thread management, network communication, and logging.
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Doug Owens
Henry J. Kaiser, Jr. Professor, Senior Fellow at the Freeman Spogli Institute for International Studies and Professor, by courtesy, of Management Science and Engineering
Current Research and Scholarly InterestsMy research uses decision modeling, cost-effectiveness analysis, and meta-analysis to evaluate clinical and health policy problems. Much of my work involves development of national guidelines for prevention and treatment.
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Ekin Gunes Ozaktas
Ph.D. Student in Electrical Engineering, admitted Autumn 2024
Ph.D. Minor, PhysicsBioI am a PhD candidate and Stanford Graduate Fellow at Stanford University working with Prof. Shanhui Fan.
Contact: eozaktas [at] stanford [dot] edu -
Ayfer Ozgur
Professor of Electrical Engineering
BioOzgur's research focuses on information theory, wireless communication and networks, distributed estimation and learning
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Punnag Padhy
Postdoctoral Scholar, Materials Science and Engineering
Current Research and Scholarly InterestsCurrently, I am working on an on-chip platform to simultaneously trap and manipulate micron scale beads and droplets with an intention to implement chemical reactions on a chip at ultrasmall volumes.
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Marshall Scott Padilla
Affiliate, Materials Science and Engineering
BioMarshall Scott Padilla will begin as an Assistant Professor of Materials Science and Engineering and a Sarafan ChEM-H Institute Scholar at Stanford in September 2026. His research takes a rational-design approach to RNA medicine, engineering lipids and lipid nanoparticles (LNPs) that deliver RNA and proteins to specific cells. Rather than relying on empirical, large-scale screening, he couples the synthesis of structurally defined lipid libraries with multimodal biophysical characterization and in vivo screening to extract the structure–activity relationships that govern delivery.
His research group aims to move beyond the field's default of hepatic delivery toward LNPs that direct RNA and protein cargoes to defined cell types, enabling durable and precise therapies. Group interests span ionizable lipid synthesis, gene editing, cancer immunotherapy, ionic liquids, mapping endosomal escape, and the analytical and biophysical methods needed to relate nanoparticle structure to function. He is broadly interested in establishing generalizable chemical and structural principles for the next generation of delivery vehicles.
Prior to joining Stanford, Marshall was an NIH postdoctoral fellow in the Department of Bioengineering at the University of Pennsylvania with Prof. Michael J. Mitchell, where he developed the Branched ENdosomal Disruptor (BEND) lipid architecture for mRNA and CRISPR-Cas9 delivery (Nature Communications, 2025), advanced solution-based biophysical methods for characterizing LNP structure (Nature Biotechnology, 2025), and engineered LNPs co-delivering mRNA and small-molecule drugs for oral cancer chemoimmunotherapy (Advanced Materials, accepted). He completed his PhD in Chemistry (Chemical Biology) at the University of Wisconsin–Madison and his B.S. in Chemistry at the College of William & Mary. His work has been recognized by the Society for Biomaterials (Burroughs Wellcome Fund BioInterfaces Rising Star Award), the American Association for Dental, Oral, and Craniofacial Research (Hatton Award, postdoctoral first place), and an NIH/NIDCR T90 fellowship. -
Julia Palacios
Associate Professor of Statistics and of Biomedical Data Science
BioDr. Palacios’s research spans Bayesian nonparametrics, probabilistic AI, stochastic processes, and computational statistics. Her group develops stochastic models and efficient inference algorithms for understanding evolutionary dynamics in population genetics, infectious diseases and cancer.
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Daniel Palanker, PhD
Professor of Ophthalmology and, by courtesy, of Electrical Engineering
Current Research and Scholarly InterestsInteractions of electric field and light with biological cells and tissues and their applications to imaging, diagnostics, therapeutics and prosthetics, primarily in ophthalmology.
Specific fields of interest:
Electronic retinal prosthesis;
Electronic enhancement of tear secretion;
Electronic control of blood vessels;
Interferometric imaging of neural signals;
Interferometric imaging of cellular physiology -
Feng Pan
Postdoctoral Scholar, Materials Science and Engineering
BioFeng Pan is a postdoctoral scholar with Prof. Jennifer A. Dionne in the Department of Materials Science and Engineering at Stanford. He received his Ph.D. degree at the University of Wisconsin Madison, advised by Prof. Randall H. Goldsmith. His research expertise spans several aspects, including quantum optics, nanophotonics, metasurfaces, chiral metamaterials, plasmonics, and single-particle microscopy and spectroscopy. He is interested in harnessing photonics to address critical challenges in energy, quantum information science, and sustainability.
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William Pan
Masters Student in Electrical Engineering, admitted Autumn 2022
BioI am a junior at Stanford University studying Mechanical Engineering and Electrical Engineering. My goal in life is to build the future through translational medical technologies and purposeful ventures.
Things I have built: health{hacks}, bicompatible hydrogel ostomy adhesive, kinesthetic latticed programmable tape -
Yuandong PAN
Postdoctoral Scholar, Civil and Environmental Engineering
BioYuandong Pan is a Postdoctoral Researcher in the School of Engineering at Stanford University. His research focuses on developing digital and smart approaches to support more sustainable buildings, infrastructure, and cities. Before joining Stanford, he was a Marie Skłodowska-Curie Actions Future Road Research Fellow at the University of Cambridge. His work aims to improve how the built environment is designed, managed, and maintained, contributing to smarter, more resilient, and more sustainable urban systems.
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Antonello Paolino
Affiliate, Program-Iaccarino, G.
BioI am a Visiting Student Researcher at Stanford Mechanical Engineering, working on the PSAAP project under Prof. Gianluca Iaccarino's supervision.
I received my BSc (2018) and MSc (2021) in Aerospace Engineering from the University of Naples Federico II.
I am currently a PhD Student at the Italian Institute of Technology (IIT) in Genoa and the University of Naples Federico II under the supervision of Dr. Daniele Pucci and Prof. Renato Tognaccini. My PhD research focuses on the modeling and control of the aerodynamic forces acting on the jet-powered humanoid robot iRonCub using both classical and machine learning approaches.
