Dionisios Margetis
استاد · Mathematical Modeling & Applied Analysis
University of Maryland, College Parkمعرفی
Dionisios Margetis is a Professor in the Department of Mathematics at the University of Maryland, College Park. He is affiliated with the Institute for Physical Science and Technology (IPST), Center for Scientific Computation and Mathematical Modeling (CSCAMM), and Maryland NanoCenter. His research lies at the intersection of applied mathematics, theoretical physics, and materials science, focusing on connecting continuum laws (e.g., PDEs) to microscopic models in classical and quantum systems.
Education:
- Diploma (summa cum laude), Electrical Engineering, National Technical University of Athens (1992)
- SM, Applied Physics, Harvard University (1994)
- PhD, Applied Physics, Harvard University (1999)
Current research interests include mathematical modeling of materials surfaces/interfaces, plasmonics on 2D materials, quantum dynamics of Bose-Einstein condensation, quantum information, classical wave diffraction, and crystal growth under extreme pressure. Application areas span nanoscale light propagation, surface evolution in epitaxy, quantum computing decoherence, and microscale effects at large scales.
Selected scientific awards: NSF CAREER Award (2009-2014), two RASA Awards (2013-14, 2018-19), Dean’s Excellence in Teaching Award (2011), and early career prizes from IEEE and Sigma Xi. He has organized numerous workshops on multiscale modeling, quantum systems, and non-equilibrium dynamics.
Students & Mentees: Advisees include PhD graduates in Applied Mathematics, Physics, and Mathematics, many of whom now hold academic or research positions. Undergraduate mentees from NSF REU programs worked on topics like Schrödinger equation solutions and crystal-step interactions.
Collaborators & Labs: Key collaborators include researchers from MIT, Harvard, Duke, and NIST. He contributes to interdisciplinary teams within the University of Maryland’s CSCAMM and NanoCenter, integrating computational methods with experimental validation.
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