A new artificial intelligence tool can predict the size of a person’s waistline by simply analyzing their age, height, weight, ethnicity, and level of education, Johns Hopkins University engineers have found. The tool’s striking accuracy could help doctors estimate a patient’s risk of diabetes, heart disease, stroke, and other obesity-related conditions often assessed using the […]
Soledad Villar, assistant professor of applied mathematics and statistics, has been selected to receive the National Science Foundation (NSF)’s Early CAREER Award, which recognizes early stage scholars with high levels of promise and excellence. Villar’s five-year project “Symmetries and Classical Physics in Machine Learning for Science and Engineering,” will blend of invariant theory, representation theory, differential geometry, and […]
A research team at Johns Hopkins has created and trained a machine learning model to calculate percent necrosis (PN) — or, what percentage of a tumor is “dead” and no longer active — in patients with osteosarcoma, a type of bone cancer. The model’s calculation was 85% correct when compared to the results of a […]
Rama Chellappa, Bloomberg Distinguished Professor in electrical and computer engineering and biomedical engineering, has been selected to receive the Distinguished Researcher Award from IEEE Computer Society’s Pattern Analysis and Machine Intelligence Technical Committee. This award is presented to candidates whose research has significantly contributed to the progress of computer vision. Candidates are nominated based on major […]
A team of Johns Hopkins applied mathematicians has devised a new method for untangling the intricate web of connections in complex networks such as social media and the internet. The researchers’ findings, described in The Journal of Computational and Graphical Statistics, have the potential to make computer calculations faster and more efficient. They also shed light on finding […]
Facial recognition software works best with images captured in daylight but has difficulty with visuals taken in darkness or low light using thermal or infrared cameras. Converting these images into clear photos for accurate facial verification is challenging and requires a process called Thermal-to-Visible (T2V) image translation. Johns Hopkins engineers have devised a way to […]
Johns Hopkins scientists have developed a method involving artificial intelligence to visualize and track changes in the strength of synapses—the connection points through which nerve cells in the brain communicate—in live animals. The technique, described in Nature Methods, should lead to a better understanding of how such connections in human brains change with learning, aging, injury, and […]
Laurent Younes, a professor in the Department of Applied Mathematics and Statistics, has been named a 2023 Fellow of the Society for Industrial and Applied Mathematics (SIAM). Laurent was recognized for fundamental contributions to the theory and computation of shape space in image analysis. Laurent’s pioneering shape-analysis algorithms have enabled researchers and clinicians to better interpret […]
CIS 25th Anniversary June 5 and 6, 2023 Johns Hopkins University The workshop talks will be held in Gilman Hall, Room 50. Monday, June 5: 8:30-9:30: Breakfast – Clark Hall, Rooms 316-318 9:30-10:15: Michael Miller (Johns Hopkins University): Molecular Computational Anatomy 10:15-11:00: Anqi Qiu (National University of Singapore): Spectral Laplace-Beltrami Wavelets and Geometric […]
Researchers have completed the most advanced brain map to date, that of an insect, a landmark achievement in neuroscience that brings scientists closer to true understanding of the mechanism of thought. The international team led by Johns Hopkins University and the University of Cambridge produced a breathtakingly detailed diagram tracing every neural connection in the […]
