School of Engineering
Showing 1,261-1,280 of 7,080 Results
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Onat Dalmaz
Ph.D. Student in Electrical Engineering, admitted Autumn 2023
Current Research and Scholarly InterestsMy current research centers on developing mathematical tools to enhance the explainability of image reconstruction algorithms in computational magnetic resonance imaging (MRI). By integrating principles from machine learning, signal processing, and generative models, I aim to improve the transparency and reliability of AI applications in medical imaging.
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Margaret Daly
Student, Civil and Environmental Engineering
BioMargaret Daly is a Ph.D. Candidate studying Environmental Fluid Mechanics in CEE. She is interested in using novel approaches for coastal oceanography and interdisciplinary work towards ocean sustainability. She researches ocean flow through kelp forests, and the impact on benthic species, particularly abalone in Baja California, Mexico. She also studies how kelp plants move in different currents and wave conditions to better parameterize drag for coastal ocean models. In addition to her research in fluid mechanics, Daly is also interested in ocean policy and illegal fishing mitigation strategies. With the Stanford Center for Ocean Solutions, Daly is developing a risk tool for global seafood supply chains to use in assessing current vulnerability to illegally caught seafood. Lastly, Margaret is combining ocean drone imagery with machine learning detect sea otters on the California Coast. Margaret is an experienced scientific diver with over 200 dives and 5 field campaigns. In the future, Daly is interested in working on problem in other coastal ecosystems such as coral reef or sea grass habitats, working with small scale fishery communities, and on policy to support ocean sustainability.
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Bruce Daniel
Professor of Radiology (Body Imaging) and, by courtesy, of Bioengineering
Current Research and Scholarly Interests1. MRI of Breast Cancer, particularly new techniques. Currently being explored are techniques including ultra high spatial resolution MRI and contrast-agent-free detection of breast tumors.
2. MRI-guided interventions, especially MRI-compatible remote manipulation and haptics
3. Medical Mixed Reality. Currently being explored are methods of fusing patients and their images to potentially improve breast conserving surgery, and other conditions.
