School of Engineering
Showing 1-100 of 144 Results
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Kari Nadeau, MD, PhD
Naddisy Foundation Professor of Pediatric Food Allergy, Immunology and Asthma, Professor of Pediatrics, Senior Fellow at the Woods Institute and Professor, by courtesy, of Otolaryngology and of Epidemiology and Population Health at LPCH
Current Research and Scholarly InterestsDr. Kari Nadeau’s laboratory and clinical research is focused on understanding the role of genes and the environment, including climate change, on the rising incidence of allergies and asthma. By understanding the genetic, epigenetic, cellular, and humoral factors that mediate immune tolerance or allergy to foods, aeroallegens, and air pollutants (e.g., diesel emissions and wildfires), her research is laying the groundwork for potential future therapies to prevent and cure allergies and asthma.
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Priya Nair
Ph.D. Student in Bioengineering, admitted Autumn 2020
Masters Student in Bioengineering, admitted Winter 2021BioI received my Bachelor's degree in Biomedical Engineering with a minor in Industrial Design from Georgia Institute of Technology in 2020. During my time at Georgia Tech, I worked as an undergraduate researcher in Dr. Ajit Yoganathan's Cardiovascular Fluid Mechanics Lab. My project was focused on studying the contribution of foreign materials to thrombosis in transcatheter aortic valves using an in vitro flow loop. Beyond my research interests, I was also actively involved in the Society of Women Engineers, promoting outreach activities and creating mentorship opportunities for women in STEM.
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Sandy Napel
Professor of Radiology (Integrative Biomedical Imaging Informatics) and, by courtesy, of Medicine (Medical Informatics) and of Electrical Engineering
Current Research and Scholarly InterestsMy research seeks to advance the clinical and basic sciences in radiology, while improving our understanding of biology and the manifestations of disease, by pioneering methods in the information sciences that integrate imaging, clinical and molecular data. A current focus is on content-based radiological image retrieval and integration of imaging features with clinical and molecular data for diagnostic, prognostic, and therapy planning decision support.
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Reza Nasiri Mahalati
Adjunct Professor, Electrical Engineering
BioReza Nasiri Mahalati is an Adjunct Professor in the department of Electrical Engineering at Stanford University and a senior hardware design engineer at Apple Inc. His current work focuses on the development of new hardware technologies that enable more fluid human computer interactions. He received the B.S. degree in Electrical Engineering from the Sharif University of Technology, Tehran, Iran in 2008, and the M.S. and Ph.D. degrees in Electrical Engineering from Stanford University in 2010 and 2013, respectively. While at Stanford, his research focused on mode-division multiplexing in multi-mode optical fibers, fiber-based imaging, optimization and digital signal processing.
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Mamdouh Nasr
Ph.D. Student in Electrical Engineering, admitted Autumn 2014
BioMamdouh H. Nasr received his bachelor and master’s degrees in Electronics and Communications Engineering from Cairo University in 2011 and 2014, respectively. In 2014, he joined the PhD program in the department of Electrical Engineering at Stanford University. Mamdouh is pursuing his Ph.D. research at SLAC National Accelerator Laboratory under supervision of Professor Sami Tantawi. His research focuses on the design and testing of new accelerator technologies for high gradient and high efficiency operation. Mamdouh is a recipient of the Siemann Graduate Fellowship in Physics at Stanford University for outstanding graduate students doing accelerator research. Mamdouh's research interests include high power devices, microwave circuits and devices, metamaterials, numerical methods in electromagnetics, bio-medical applications of electromagnetics, RF power harvesting, antennas and matching circuits.
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Amir Nasrollahi
Postdoctoral Research Fellow, Aeronautics and Astronautics
BioAmir Nasrollahi is a postdoctoral fellow at the Structures and Composites Laboratory (SACL) in the Department of Aeronautics and Astronautics of Stanford University. He earned his Ph.D. from the Department of Civil and Environmental Engineering of the University of Pittsburgh in 2018, where he served as a postdoctoral associate from Jan. to Sept. 2019.
Amir Nasrollahi’s research interests are Li-ion Batteries, Multifunctional Materials, smart materials and structures, Nondestructive Evaluation, Structural Health Monitoring, sensor networks, stress wave propagation, metamaterials, computational acoustics, and vibration and acoustics. -
Medea Neek
Postdoctoral Research Fellow, Chemical Engineering
Current Research and Scholarly InterestsTargeted therapy is one of the current research development in cancer treatment. While nanoparticle (NP)-based delivery agents have the potential to provide safe and effective targeted delivery, all the results to date have been disappointing. Ongoing challenges include: particle instability, rapid clearance by immune system phagocytosis, off-target toxicity, and immunogenicity. My research focuses to to design a delivery vehicle that overcomes current obstacles in the targeted therapy field.
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Drew Nelson
Professor of Mechanical Engineering
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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Lars Thorben Neustock
Ph.D. Student in Electrical Engineering, admitted Autumn 2015
Current Research and Scholarly InterestsLars's research interest lies at the intersection of optimization, applied physics and numerical methods. He is interested in understanding how we can use modern numerical methods and optimization techniques to improve physical devices in photon and charged particle optics. Hereby, the shape and topology of a device oftentimes plays a crucial role in its behavior. Lars is building computational models, including the application of adjoint design sensitivity analysis, to improve device shapes.
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Sharon Newman
Ph.D. Student in Bioengineering, admitted Autumn 2018
Masters Student in Electrical Engineering, admitted Winter 2018BioI am interested in increasing access to medical technologies, particularly in low-resource settings. As a PhD student, I develop computational and bio-analytical technologies for early detection of disease, presently focusing on methods to increase sensitivity and multiplexing capabilities in diagnostic devices. Through developing these systems, I get to explore and play with subjects such as statistical modeling, image processing, manipulation and design of molecular systems, and optimization techniques. As a student, I have gotten to take classes ranging from many project based AI/ML computation courses to mathematics in linear dynamical systems to deep dives into chemistry of therapeutic drug development. As I wrap up my PhD, I look forward to bringing my wide base of experiences in both computational and biological realms towards breakthroughs in precision health and diagnostics amenable to lower resource settings at the last mile.
I also am always excited to teach and mentor, and have been involved with a myriad of opportunities including curriculum development and teaching AI/ML to high school students in US and India, K-12 STEM outreach in US, Scratch curriculum teaching to teachers in Taiwan, and graduate level courses such as Biological macromolecules to Stanford students! Im always happy to chat about how to best reach and inspire students and people of all ages, so please reach out! -
Viet Anh Nguyen
Postdoctoral Research Fellow, Management Science and Engineering
BioViet Anh Nguyen is currently a postdoctoral researcher at Stanford Universy, working with Professor Jose Blanchet and Professor Yinyu Ye. He received his doctoral degree in Management of Technology from Ecole Polytechnique Federale de Lausanne in 2019, where he worked with Daniel Kuhn and Peyman Mohajerin-Esfahani. Previously, he received a Bachelor of Engineering and a Master of Engineering in Industrial and Systems Engineering from the National University of Singapore in 2011 and 2013 respectively. He also holds a Diplome d'Ingenieur (promotion Gustave Eiffel) from Ecole Centrale des Arts et Manufactures (Ecole Centrale de Paris). He graduated from the Swiss Program for Beginning Doctoral Students in Economics at the Study Center Gerzensee in 2014.
He is interested in very large-scale decision making under uncertainty, statistical optimization and machine learning with applications in energy systems, operations management, and data/policy analytics. -
Juan Carlos Niebles Duque
Sr Res Engineer
Current Research and Scholarly InterestsThe goal of my research is to enable computers and robots to perceive the visual world by developing novel computer vision algorithms for automatic analysis of images and videos. We tackle fundamental open problems in computer vision research related to the visual recognition and understanding of human actions and activities, objects, scenes, and events. We also develop systems that solve practical world problems by introducing cutting-edge computer vision technologies into new domains.
