School of Engineering
Showing 5,241-5,260 of 5,902 Results
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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 within the Wearables team at Meta Reality Labs, with core research interests in artificial intelligence, machine learning, agentic systems and multimodal computing.She holds dual Bachelor’s degrees in Computer Science and Software Engineering from the University of California, Irvine. During her undergraduate career, she conducted research on intelligent systems, computer vision and multi-agent pathfinding algorithms.
While working full-time at Meta, Emily is pursuing a part-time Master of Science in Computer Science through Stanford University’s Honors Cooperative Program (HCP). Her graduate specialization focuses on AI-enabled spatial audio, immersive XR sonics, and edge-adaptive AI systems optimized for wearable hardware.
Her work centers on merging rigorous software engineering principles with applied AI research to build robust, production-ready human-centered systems for voice processing, spatial audio delivery, wearable devices and multimodal interaction. Her long-term objective is to develop high-impact AI products while advancing her research depth in AI system architecture and multimodal intelligence. Emily welcomes academic and industry collaborative opportunities.
