Project Grant 2237534
- This $300,000 Project Grant award from the National Science Foundation's (NSF) Mathematical and Physical Sciences program (CFDA 47.049) supports fundamental research on inverse boundary value problems and related mathematical techniques. The key research areas include: Electrical impedance tomography (EIT) for determining the conductivity of materials by making voltage and current measurements at the boundary. The research will address challenges in EIT such as partial data, anisotropic...
- This $250,000 two-year Project Grant from the National Science Foundation's Mathematical and Physical Sciences Directorate (CFDA 47.049) funds research at Rochester Institute of Technology to develop direct variational methods for solving inverse problems governed by differential equation models using full-field data. Specifically, the award supports advancing the Direct Error in Constitutive Equations formulation for determining wave speed from time-harmonic wave field observations of a...
- This Project Grant from the National Science Foundation's Division of Mathematical Sciences, under the Mathematical and Physical Sciences program (CFDA 47.049), provides $432,301 to Purdue University to study nonlinear wave phenomena and related inverse problems from June 1, 2022 to May 31, 2025. The grantee will analyze propagation of waves for nonlinear optics, acoustics, and elasticity phenomena described by quasilinear partial differential equations. They will exploit specific natures of...
- This $270,000 Project Grant award from the National Science Foundation (NSF) Mathematical and Physical Sciences (CFDA 47.049) program supports research at the University of California, Irvine (UC Irvine) to develop novel mathematical methods for investigating inverse problems related to the recovery of anisotropic medium parameters from measurements taken at the exterior or boundary. The project aims to leverage nonlocality, nonlinearity, and high frequencies as tools to tackle significant and...
- This $269,999 federal Project Grant awarded by the National Science Foundation (NSF) Division of Mathematical Sciences under the Mathematical and Physical Sciences (CFDA 47.049) program supports research to develop novel inverse scattering techniques for complex materials with applications in areas such as renewable energy, medical diagnosis, underground exploration, infrastructure integrity, and advanced manufacturing. The primary objectives are to investigate non-iterative approaches for...
- This $200,000 Project Grant award from the National Science Foundation's (NSF) Mathematical and Physical Sciences (CFDA 47.049) program supports the development of efficient and accurate algorithms for modeling acoustic and electromagnetic wave propagation in complex domains. The primary goals are to create robust algorithms using high-frequency integral equations, microlocal and numerical analysis, asymptotic methods, and finite element techniques. This work aims to enhance the simulation of...
- This National Science Foundation (NSF) Division of Mathematical Sciences grant award to Drexel University provides $270,000 over three years to develop new data-driven inversion methods and image reconstruction algorithms for nonlinear media with applications in radar, medical imaging, and optical design. The key innovations include using data to generate compact wave propagation models for efficient image reconstruction, expanding the applicability to large and noisy data sets, and developing...
- This Project Grant from the National Science Foundation's Division of Mathematical Sciences, under the Mathematical and Physical Sciences program (CFDA 47.049), provides $246,641 to The University of North Carolina at Charlotte to develop new theoretical techniques for the identification of unknown targets occluded inside a medium from external measurements alone. The techniques aim to quickly and reliably estimate occluded targets in an optimization-free manner without a priori knowledge...
- This three-year, $295,778 Project Grant from the National Science Foundation's Division of Mathematical Sciences will support research addressing long-standing problems in the nonlinear propagation of waves. The principal investigator and collaborators at the University of Chicago will conduct mathematical studies of soliton resolution for energy critical nonlinear wave equations and related models, both with and without symmetries. Quantitative unique continuation properties with connections to...
- This National Science Foundation (NSF) Project Grant award to Rowan University, under the Mathematical and Physical Sciences program (CFDA 47.049), provides $212,933 from September 1, 2023 to August 31, 2025 to develop and implement new robust and computationally efficient inversion algorithms for inverse medium scattering problems. The project aims to advance inverse scattering theory, which plays a key role in technologies such as medical imaging, geophysical exploration, and unexploded...
CAREER: SYNERGISTIC INVERSE WAVE ANALYSIS AND COMPUTATION -NON-DESTRUCTIVE PROBING TECHNIQUES UTILIZE WAVES TO PROBE TARGETS THAT ARE NOT DIRECTLY OBSERVABLE. THEY HAVE FOUND BROAD APPLICATIONS IN MEDICAL IMAGING FOR TUMOR DETECTION, IN SEISMIC IMAGING FOR OIL PROSPECTING, AND IN MILITARY SCENARIOS FOR HIDDEN THREAT DETECTION. THE SUCCESS OF MODERN NON-DESTRUCTIVE PROBING TECHNIQUES RELIES IN AN ESSENTIAL WAY ON THE MATHEMATICAL PRINCIPLES THAT REVEAL THE HIDDEN CONNECTION BETWEEN THE OBSERVATION AND THE TARGETS. IN-DEPTH UNDERSTANDING OF SUCH PRINCIPLES WILL NOT JUST REVEAL THE STRENGTHS AND LIMITATIONS OF THE TECHNIQUES, BUT ALSO INDICATE POSSIBLE DIRECTIONS FOR FUTURE ENHANCEMENT AND IMPROVEMENT. THIS PROJECT AIMS TO PROMOTE UNDERSTANDING OF THE MATHEMATICAL PRINCIPLES IN NON-DESTRUCTIVE PROBING TECHNIQUES FROM BOTH THEORETICAL AND COMPUTATIONAL PERSPECTIVES. THE THEORETICAL PERSPECTIVE WILL DEVELOP FUNDAMENTAL MATHEMATICAL TOOLS AND METHODS THAT ARE ADAPTABLE TO RESOLVE CHALLENGES IN OTHER MATHEMATICAL BRANCHES. THE COMPUTATIONAL PERSPECTIVE WILL TURN THE THEORY INTO INNOVATIVE IMAGING ALGORITHMS THAT EMPOWER NON-DESTRUCTIVE PROBING TECHNIQUES TO ACQUIRE ENHANCED VISUALIZATION. IMPLEMENTATION OF THE PROJECT WILL BE INTEGRATED WITH NUMEROUS EDUCATIONAL ACTIVITIES TO INVOLVE K-12, UNDERGRADUATE AND GRADUATE STUDENTS MAJORING IN STEM DISCIPLINES, ESPECIALLY THOSE FROM UNDERREPRESENTED GROUPS WITH LIMITED EDUCATIONAL RESOURCES. STUDENTS WILL RECEIVE RIGOROUS SCIENTIFIC RESEARCH TRAINING IN MATHEMATICAL AND PROGRAMMING SKILLS TO PREPARE THEM AS THE NEXT GENERATION OF STEM WORKFORCE THAT CAN CONTINUE ADVANCING SCIENCE AND TECHNOLOGY IN THE NEXT FEW DECADES. THE PROJECT AIMS TO INVESTIGATE FUNDAMENTAL MATHEMATICAL THEORY AND COMPUTATIONAL METHODS FOR INVERSE PROBLEMS FOR WAVE EQUATIONS. THIS WILL BE ACHIEVED BY DEVELOPING THE COMPUTATIONAL BOUNDARY CONTROL METHOD AS WELL AS ITS UNDERLYING MATHEMATICAL THEORY. A FEATURE OF THE APPROACH IS THE SYNERGY BETWEEN MATHEMATICAL ANALYSIS AND WAVE-BASED SCIENTIFIC COMPUTING. FROM THE THEORETICAL PERSPECTIVE, THE INTERDISCIPLINARY RESEARCH WILL ENHANCE THE INTERPLAY AMONG PDE ANALYSIS, WAVE PHYSICS, GEOMETRY, AND SCIENTIFIC COMPUTING. FROM THE COMPUTATIONAL PERSPECTIVE, THE RESEARCH WILL INSPIRE NOVEL COMPUTATIONAL PARADIGMS THAT UTILIZE THE NATURE OF WAVE PROPAGATION TO ACHIEVE OPTIMAL, THEORETICALLY JUSTIFIABLE ALGORITHMS FOR NON-DESTRUCTIVE PROBING TECHNIQUES. THIS AWARD REFLECTS NSF'S STATUTORY MISSION AND HAS BEEN DEEMED WORTHY OF SUPPORT THROUGH EVALUATION USING THE FOUNDATION'S INTELLECTUAL MERIT AND BROADER IMPACTS REVIEW CRITERIA.
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $83.8k | 8/22/25 | ||
| Not listed | $162.0k | 1/25/23 |