Fadil Santosa

Fadil Santosa is a Professor and the Yu Wu and Chaomei Chen Department Head of Applied Mathematics and Statistics at Johns Hopkins University (JHU). He is also affiliated with the Ralph S. O’Conner Sustainable Energy Institute, SNF Agora Institute, and the Data Science and AI Institute. His research focuses on inverse problems, wave phenomena, photonics, optimal design, and mathematical modeling. He holds a BS in Mechanical Engineering from the University of New Mexico (1976) and MS/PhD in Theoretical and Applied Mechanics from the University of Illinois at Urbana (1977/1980).

Recent research projects include optimizing experiment design for inverse problems, developing models for direct air capture of CO₂, and studying plasmons in graphene. He has pioneered work on bar code decoding algorithms and multifocal optical device design, with two patented innovations. Santosa has been honored with the 2023 SIAM Distinguished Service Award and the 2023 JHU Diversity Award.

His work bridges academia and industry through initiatives like the Math-to-Industry Boot Camp. He actively mentors students via community-based projects, such as applying applied math to optimize Baltimore’s food distribution systems. Current technical interests span photonic band gaps, EIT imaging, and machine learning applications in biological systems.

• Key Affiliations: Applied Mathematics & Statistics Department Head, Sustainable Energy Institute Researcher
• Patents: Multifocal optical device design, Symbol-based bar code decoding
• Labs/Teams: Leads multidisciplinary teams in inverse problem research and sustainability modeling