Radiological Sciences Lab
Molecular Imaging Program at Stanford
Assistant Professor of Radiology (Neuroimaging and Neurointervention) and, by courtesy, of Psychiatry and Behavioral Sciences and of Materials Science and Engineering
Assistant Professor of Radiology (Molecular Imaging Program at Stanford) and of Neurology Instructor, Radiology- Molecular Imaging Program at Stanford
Integrative Biomedical Imaging Informatics at Stanford
Professor of Biomedical Data Science and of Radiology (Integrative Biomedical Imaging Informatics at Stanford)
Canary Center at Stanford for Cancer Early Detection
Professor (Research) of Electrical Engineering, Emeritus
Butrus (Pierre) T. Khuri-Yakub is a Professor of Electrical Engineering at Stanford University. He received the BS degree from the American University of Beirut, the MS degree from Dartmouth College, and the Ph.D. degree from Stanford University, all in electrical engineering. His current research interests include medical ultrasound imaging and therapy, ultrasound neuro-stimulation, chemical/biological sensors, gas flow and energy flow sensing, micromachined ultrasonic transducers, and ultrasonic fluid ejectors. He has authored over 600 publications and has been principal inventor or co-inventor of 107 US and international issued patents. He was awarded the Medal of the City of Bordeaux in 1983 for his contributions to Nondestructive Evaluation, the Distinguished Advisor Award of the School of Engineering at Stanford University in 1987, the Distinguished Lecturer Award of the IEEE UFFC society in 1999, a Stanford University Outstanding Inventor Award in 2004, Distinguished Alumnus Award of the School of Engineering of the American University of Beirut in 2005, Stanford Biodesign Certificate of Appreciation for commitment to educate, mentor and inspire Biodesgin Fellows, 2011, and 2011 recipient of IEEE Rayleigh award.
Walter B Reinhold Professor in the School of Engineering, Robert Bosch Chair of Mechanical Engineering, Professor of Mechanical Engineering and, by courtesy, of Bioengineering
Ellen Kuhl is the Walter B. Reinhold Professor in the School of Engineering and Robert Bosch Chair of Mechanical Engineering at Stanford University. She is a Professor of Mechanical Engineering who received her PhD from the University of Stuttgart in 2000 and her Habilitation from the University of Kaiserslautern in 2004. Her area of expertise is Living Matter Physics, the design of theoretical and computational models to simulate and predict the behavior of living systems. Ellen has published more than 200 peer-reviewed journal articles and edited two books; she is an active reviewer for more than 50 journals at the interface of engineering and medicine and an editorial board member of seven international journals in her field. During the COVID-19 pandemic, she published a textbook on Computational Epidemiology and Data-Driven Modeling of COVID-19. Ellen is a founding member of the Living Heart Project, a translational research initiative to revolutionize cardiovascular science through realistic simulation with 400 participants from research, industry, and medicine from 24 countries. Ellen is the current Chair of the US National Committee on Biomechanics and a Member-Elect of the World Council of Biomechanics. She is a Fellow of the American Society of Mechanical Engineers and of the American Institute for Mechanical and Biological Engineering. She received the National Science Foundation Career Award in 2010, was selected as Midwest Mechanics Seminar Speaker in 2014, and received the Humboldt Research Award in 2016 and the ASME Ted Belytschko Applied Mechanics Award in 2021. Ellen is a three-time All American triathlete, a multiple Boston, Chicago, and New York marathon runner, and a three-time Kona Ironman World Championship qualifier.
Reid Weaver Dennis Professor
Interests include medical imaging generally, and magnetic resonance imaging (MRI) in particular. Current efforts are focused on medical applications of MRI where real-time interactive imaging is important. Two examples are cardiac imaging, and the interactive guidance of interventional procedures. Specific interests include rapid methods for the excitation and acquisition of the MR signal, and the reconstruction of images from the data acquired using these approaches.
Director, Edward L. Ginzton Laboratory and Robert L. and Audrey S. Hancock Professor in the School of Engineering
The Solgaard group focus on design and fabrication of nano-photonics and micro-optical systems. We combine photonic crystals, optical meta-materials, silicon photonics, and MEMS, to create efficient and reliable systems for communication, sensing, imaging, and optical manipulation.
Isaac and Madeline Stein Family Professor and Professor, by courtesy, of Electrical Engineering, of Ophthalmology and at the Graduate School of Education
Brian A. Wandell is the first Isaac and Madeline Stein Family Professor. He is a member of the Stanford Psychology faculty and a member, by courtesy, of Electrical Engineering, Ophthalmology, and the Graduate School of Education. He directs Stanford's Center for Cognitive and Neurobiological Imaging, an MRI service center, and he was deputy director of the Wu Tsai Neurosciences Institute from 2013-2021. Wandell’s research centers on vision science, spanning topics from visual disorders, reading development in children, to digital imaging devices and algorithms for both magnetic resonance imaging and digital imaging. Wandell’s work in visual neuroscience uses functional, structural and quantitative MRI along with behavior testing and modeling to understand the action of the visual portions of the brain. His lab has worked to identify and then understand the organization of the visual field maps in the human brain, color and motion processing within these maps, the potential for reorganization following injury, and the development of the cortical circuitry for reading. The Wandell lab develops software tools for digital imaging applications. The software includes methods for analyzing magnetic resonance imaging (MRI) data, as well as tools to design and evaluate cameras used in a range of applications: consumer photography, medical imaging, and artificial intelligence for automotive applications. Wandell's work has led to commercial applications including two companies that he co-founded, Imageval, LLC and Flywheel.io, LLC.