Somnath Ghosh, the Michael G. Callas Professor in the Department of Civil and Systems Engineering, is the recipient of the 2020 International Association for Computational Mechanics' Computational Mechanics Award, which is conferred every two years to honor exceptional accomplishments in that field. Ghosh's research focuses on computational mechanics modeling, particularly multiscale structure-materials analysis and simulations, multiphysics modeling and simulation of multifunctional materials, materials characterization, process modeling, and emerging fields such as integrated computational materials engineering. He is scheduled to be presented with this award at the World Congress on Computational Mechanics in Paris in July.
Three Whiting School faculty members have been honored with an Early CAREER Award from the National Science Foundation. The award recognizes early stage scholars with high levels of promise and excellence.
Nicolas Charon, an assistant professor in the Department of Applied Mathematics and Statistics, does research on shape analysis and its applications to medical imaging and computational anatomy. His five-year CAREER Award will support his project titled Shape Analysis in Submanifold Spaces: New Directions for Theory and Algorithms, which will investigate ways to bridge several gaps in our knowledge of shape comparison and registration frameworks, both on the mathematical and computational sides, and develop new scalable morphological analysis algorithms adapted to the growing size and complexity of modern datasets.
Abhishek Jain, an assistant professor in the Department of Computer Science, focuses on all aspects of cryptography and related topics in theoretical computer science. His five-year CAREER Award will support his project New Frontiers in Computing on Private Data, which explores new methods to enable secure multiparty computation. The project also includes outreach activities to raise the Baltimore community's awareness of security and cryptography.
Joshua T. Vogelstein, an assistant professor in the Department of Biomedical Engineering and a member of the Institute for Computational Medicine, Center for Imaging Science, and the Kavli Neuroscience Discovery Institute, focuses on developing new statistical methods and computational tools to map patterns of connectivity in human and nonhuman brains. His five-year CAREER award project, Foundational Statistical Theory and Methods for Analyzing Populations of Attributed Connectomes, will use connectal coding to enable brain scientists to infer latent structure from individual connectomes, identify meaningful clusters among populations of connectomes, and detect relationships between connectomes and multivariate phenotypes.
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