Fadil Santosa is a professor and the Yu Wu and Chaomei Chen Department Head of Applied Mathematics and Statistics. He also works as a researcher for the Ralph S. O’Conner Sustainable Energy Institute, is affiliated with the SNF Agora Institute, and is a member of the Data Science and AI Institute. His research interests include inverse problems, wave phenomena in complex media and photonic devices, as well as optimal design. He is currently working on optimizing experiment design for inverse problems and modeling direct air capture of CO2.
Santosa has two patents: one for multifocal optical device design and another for symbol-based decoding of optical codes. His current projects include inverse problems in electrical impedance tomography, optimal experiment design for inverse problems, photonics of 2-D materials, and modeling of a direct air capture device.
He received his BS in mechanical engineering from the University of New Mexico in 1976, and his MS and PhD in theoretical and applied mechanics from the University of Illinois at Urbana in 1977 and 1980, respectively. He received the 2023 SIAM Distinguished Service to the Profession Award as well as the 2023 Johns Hopkins Diversity Award.
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New model predicts how much time proposed rail line could save commuters.
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Students studying applied mathematics and statistics create tools to aid a major Baltimore food distribution program for those in need. The community-based learning course, created by Fadil Santosa, is helping Bmore Community Food cater to more individuals in the city, giving the students hands-on experience in confronting the predicament of food insecurity in Baltimore.
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Yu Wu and Chaomei Chen Department Head, Fadil Santosa, establishes connections across Johns Hopkins, including the SNF Agora Institute, the School of Medicine, the Ralph S. O'Connor Sustainable Energy Institute (ROSEI), and the Applied Physics Laboratory, all while continuing to devote time to off-campus initiatives.