
About
Analee Miranda is a Clinical Assistant Professor in the Department of Mathematics at Dyson College of Arts and Sciences, Pace University, New York City. She holds a PhD in Mathematics from Rensselaer Polytechnic Institute and is actively engaged in research and teaching within applied mathematics, with a strong focus on radar-based technologies and mathematical modeling.
Her research interests include inverse problems, electromagnetic scattering, quantum electrodynamics, radar imaging, signal processing, remote sensing, and radar signature-based feature detection. These areas reflect her expertise in using partial differential equations to model complex physical systems, particularly in the domain of radar-scattering for classification and detection.
Dr. Miranda's work demonstrates strong applied and interdisciplinary characteristics, particularly highlighted by her U.S. patent on biometric authentication using wideband UHF/VHF radar. This innovation bridges mathematics, engineering, and security technology, indicating significant real-world impact.
- PhD in Mathematics, Rensselaer Polytechnic Institute, 2010
She has taught a broad range of courses such as Calculus, Statistics, Algebra, Finite Mathematics, Precalculus, and mathematical foundations for computer science, indicating a strong commitment to undergraduate education and STEM pedagogy. Her engagement in student research projects, such as building a radar model, reflects active mentorship and innovative, hands-on teaching practices.
Dr. Miranda is involved in professional contributions through intellectual property development. Notably, she holds a U.S. patent titled "Biometric Authentication using Wideband UHF/VHF RADAR", showcasing her translational research capabilities. There are no listed scientific awards or formal advisees in the provided materials.
She is affiliated with the Department of Mathematics at Pace University’s NYC campus and maintains a professional presence through LinkedIn. Her work environment fosters applied research and student collaboration, particularly in interdisciplinary projects combining mathematics with engineering applications.
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