School of Engineering
Showing 5,201-5,300 of 5,899 Results
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Juan David Visbal Alcala
Graduate, Stanford Center for Professional Development
BioJuan David is a resilient, hard-working, and enthusiastic leader who is changing the world by solving society's challenges through engineering practices and strategies that optimize, innovate, disrupt, and transform positively.
Juan holds a bachelor's degree in Mechanical Engineering with experience working in cross-functional teams, spanning from engineering, R&D, and other relevant technical functions, to marketing, management, and sourcing to drive profitable results for businesses while exceeding stakeholder expectations.
Analytical thinker and problem-solver driven to further develop industry standards to meet society's next-generation needs in terms of energy demands, agnostic fuel transitions, product reliability, accessibility, and circularity creating long-lasting solutions while safekeeping the environment.
Juan attempts to lead by three main principles that developed as a result of past experiences that turned into learning opportunities:
1. A good leader should not become a figure of authority that disrupts confidence or trust among co-workers. A true leader should bridge communication gaps and become a master at developing meaningful interpersonal relationships in the work environment. Success and productivity are enhanced through effective teamwork that stems from deep bonds of trust driven by communication.
2. A good leader should be a great listener. One should be able to understand and show interest in what each teammate has to share. Sometimes there's no need to look for solutions elsewhere but within the teams. One learns to communicate by listening first.
3. A good leader should be receptive and approachable to anyone willing to come up to them. It's impossible to know whether an initiative, project, or idea has potential if the person to whom it needs to be sold is not prone to receive it. The only crazy idea/question is one that is never asked. -
Aswine Visva
Affiliate, Mechanical Engineering - Mechanics and Computation
BioAswine Visva is a senior software engineer at NVIDIA working on machine learning systems for autonomous vehicle perception. His work focuses on building and deploying 3D deep learning perception models and optimizing them for real-world deployment. Prior to joining NVIDIA full time, he completed multiple internships working on perception and machine learning infrastructure while studying at the University of Waterloo.
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Jelena Vuckovic
Jensen Huang Professor of Global Leadership, Professor of Electrical Engineering and, by courtesy, of Applied Physics
Current Research and Scholarly InterestsJelena Vuckovic’s research interests are broadly in the areas of nanophotonics, quantum and nonlinear optics. Her lab develops semiconductor-based photonic chip-scale systems with goals to probe new regimes of light-matter interaction, as well as to enable platforms for future classical and quantum information processing technologies. She also works on transforming conventional photonics with the concept of inverse design, where optimal photonic devices are designed from scratch using computer algorithms with little to no human input. Her current projects include quantum and nonlinear optics, cavity QED, and quantum information processing with color centers in diamond and in silicon carbide, heterogeneously integrated chip-scale photonic systems, and on-chip laser driven particle accelerators.
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Ken Waldron
Professor (Research) of Mechanical Engineering, Emeritus
BioKenneth J. Waldron is Professor of Mechanical and Mechatronic Engineering at UTS. He is also Professor Emeritus from the Design Group in the Department of Mechanical Engineering of Stanford University. He holds bachelors and masters degrees from the University of Sydney, and PhD from Stanford. He works in machine design, and design methodology with a particular focus on robotic and mechatronic systems.
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Todd Walter
Professor (Research) of Aeronautics and Astronautics
Current Research and Scholarly InterestsHigh integrity satellite navigation for guiding aircraft, including satellite based augmentation systems (SBAS) and advanced receiver autonomous integrity monitoring (ARAIM).
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Brian A. Wandell
Isaac and Madeline Stein Family Professor and Professor, by courtesy, of Electrical Engineering, of Ophthalmology and of Education
Current Research and Scholarly InterestsModels and measures of the human visual system. The brain pathways essential for reading development. Diffusion tensor imaging, functional magnetic resonance imaging and computational modeling of visual perception and brain processes. Image systems simulations of optics and sensors and image processing. Data and computation management for reproducible research.
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Adam Wang
Assistant Professor of Radiology (Radiological Sciences Laboratory) and, by courtesy, of Electrical Engineering
BioMy research group develops technologies for advanced x-ray and CT imaging, including artificial intelligence for CT acquisition, reconstruction, and image processing; spectral imaging, including photon counting CT (PCCT) and dual-layer flat-panel detectors; novel system and detector designs; and their applications in diagnostic imaging and image-guided procedures. I am also the Director of the Photon Counting CT Lab, Zeego Lab, and Tabletop X-Ray Lab.
I completed my PhD in Electrical Engineering at Stanford, developing strategies for maximizing the information content of dual energy CT and photon counting detectors. I then pursued a postdoctoral fellowship at Johns Hopkins in the I-STAR Lab, developing reconstruction and registration methods for x-ray based image-guided surgery. I was then a Senior Scientist at Varian Medical Systems, developing x-ray/CT methods for image-guided radiation therapy, before returning to Stanford in 2018, where I now lead a comprehensive research program in advanced x-ray and CT imaging systems and methods, with funding from NIH, DOD, DOE, and industry partners. -
Bo Wang
Associate Professor of Bioengineering and, by courtesy, of Developmental Biology
Current Research and Scholarly InterestsResearch interests:
(1) Cell type evolution through the lens of single-cell multiomic sequencing analysis
(2) Systems biology of whole-body regeneration
(3) Cellular and molecular basis of animal-algal photosymbiosis -
Dakuo Wang
Visiting Associate Professor, Computer Science
BioDakuo Wang is a Visiting Associate Professor at Stanford University, and an Associate Professor at Northeastern University, jointly appointed at Khoury College of Computer Sciences and the College of Arts, Media and Design. At Northeastern, Dakuo Wang leads the Northeastern University Human-Centered AI Lab (NEU HAI), and he is also the Founding Director of the AI Application Graduate Program. His research lies at the intersection of human-computer interaction (HCI) and artificial intelligence (AI), with a focus on the exploration, development, and evaluation of human-centered AI (HCAI) systems to achieve human-AI collaboration.
Before joining Northeastern, Dakuo Wang was a Senior Staff Member at IBM Research, Principal Investigator at MIT-IBM Watson AI Lab, and a Visiting Scholar at Stanford Institute for Human-Centered Artificial Intelligence (Stanford HAI). He got his Ph.D. from the University of California Irvine (advisor: Judith Olson and Gary Olson). He has worked as a designer, researcher, and engineer in the U.S., China, and France. He serves in organizing committees, program committees, and editorial boards for a variety of venues, and ACM has recognized him as an ACM Distinguished Speaker. -
Emily Wang
Masters Student in Computer Science, admitted Autumn 2026
BioEmily is a Software Engineer at Meta working within Reality Labs’ Wearables with interests in AI, machine learning, agentic systems, and multimodal computing. She earned dual bachelor’s degrees in Computer Science and Software Engineering from UC Irvine, where she worked on research involving intelligent systems, computer vision, and multi-agent pathfinding.
Alongside her work at Meta, Emily is pursuing Stanford’s part-time MS in Computer Science through the Honors Cooperative Program, with a specialized focus on AI-powered spatial audio, XR immersive sonics, and edge adaptive AI systems for wearable devices. She is particularly interested in combining strong software engineering with AI research to build practical, reliable systems for voice, spatial audio, wearables, and human-centered AI. Her long-term goal is to contribute to meaningful AI products while developing deeper research expertise in AI systems and multimodal intelligence.She is open to academic and industry collaboration opportunities. -
Hai Wang
Silas Palmer Professor of Engineering
BioHai Wang is Silas H. Palmer Professor of Engineering in the Department of Mechanical Engineering at Stanford University. His research interests are high-speed propulsion, combustion, and renewable energy conversion. His current research topics include combustion chemistry of conventional and renewable fuels, detonation, high-speed propulsion, quantum-chemistry guided battery materials design, and transport theories. He is the author and coauthor of recent papers in scholarly journals, including "Stable sodium-sulfur electrochemistry enabled by phosphorus-based complexation" in PNAS, “Geometric modeling and analysis of detonation cellular stability" in Proceedings of the Combustion Institute, "Flame-formed carbon nanoparticles exhibit quantum dot behaviors" in PNAS, "Nanoparticles in dilute gases: Equivalence of momentum accommodation and surface adsorption" in Physical Review E, "A Physics-based approach to modeling real-fuel combustion chemistry. I. Evidence from experiments, and thermodynamic, chemical kinetic and statistical considerations" in Combustion and Flame, and “Formation of nascent soot and other condensed-phase materials in flames” in Proceedings of the Combustion Institute. He was the Editor-in-Chief of Progress in Energy and Combustion Science, a highly influential energy journal published by Elsevier with an impact factor of 35.3 (2021). Currently, he serves as the President of the Combustion Institute - an international, non-profit, educational and scientific society that promotes and disseminates research activities in all areas of combustion science and technology for the advancement of many communities around the world.
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Paul J. Wang, MD
John R. and Ai Giak L. Singleton Director, Professor of Medicine (Cardiovascular Medicine) and, by courtesy, of Bioengineering
Current Research and Scholarly InterestsDr. Wang's research centers on the development of innovative approaches to the treatment of arrhythmias, including more effective catheter ablation techniques, more reliable implantable devices, and less invasive treatments. Dr. Wang's clinical research interests include atrial fibrillation, ventricular tachycardia, syncope, and hypertrophic cardiomyopathy. Dr. Wang is committed to addressing disparities in care and is actively involved in increasing diversity in clinical trials.
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Pingyu Wang
Postdoctoral Scholar, Chemical Engineering
BioPingyu is a postdoctoral scholar in the Tarpeh Lab at Stanford University, where he develops low-cost, continuous sensing technologies for environmental monitoring. His current research focuses on multiplex detection of reactive nitrogen species to improve nitrogen management in agriculture and wastewater treatment.
Pingyu earned his PhD in Materials Science and Engineering at Stanford, where he developed high-density neural interfaces for retinal prostheses aimed at vision restoration. Drawing on his background in bioelectronics and sensor design, he is interested in advancing sensing technologies to support data-driven solutions for environmental challenges. -
Ryan Wang
Ph.D. Student in Bioengineering, admitted Autumn 2024
Current Research and Scholarly InterestsRestorative neurotechnologies, systems neuroscience, brain-computer interfaces
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Shan X. Wang
Leland T. Edwards Professor in the School of Engineering and Professor of Electrical Engineering and, by courtesy, of Radiology (Molecular Imaging Program at Stanford)
Current Research and Scholarly InterestsShan Wang was named the Leland T. Edwards Professor in the School of Engineering in 2018. He directs the Center for Magnetic Nanotechnology and is a leading expert in Edge AI, biosensors, information storage and spintronics. His research and inventions span across a variety of areas including Edge AI, magnetic biochips, in vitro diagnostics, cancer biomarkers, magnetic nanoparticles, magnetic sensors, magnetoresistive random access memory, and magnetic integrated inductors.
