Prof. Ergun Simsek Profile

Prof. Ergun Simsek

Professor at Univ of Maryland Baltimore County

SPIE Involvement:

Conference Program Committee | Author

Publications (5)

Proceedings Article | 4 October 2023 Presentation + Paper

Designing silicon-germanium photodetectors with numerical optimization: the tradeoffs and limits

Ergun Simsek, Curtis Menyuk

Proceedings Volume 12647, 126470L (2023) https://doi.org/10.1117/12.2676137

KEYWORDS: Photodetectors, Quantum efficiency, Doping, Design and modelling, Silicon, Mathematical optimization, Particle swarm optimization, Optical instrument design

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Proceedings Article | 4 October 2023 Presentation + Paper

Attention mechanisms for broadband feature prediction for electromagnetic and photonic applications

Ergun Simsek, Masoud Soroush, Gregory Moille, Kartik Srinivasan, Curtis Menyuk

Proceedings Volume 12675, 126750B (2023) https://doi.org/10.1117/12.2676135

KEYWORDS: Education and training, Neural networks, Design and modelling, Terahertz radiation, Data modeling, Interpolation, Waveguides, Resonators, Performance modeling, Mathematical optimization

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Proceedings Article | 15 March 2016 Paper

Enhanced absorption with quantum dots, metal nanoparticles, and 2D materials

Ergun Simsek, Bablu Mukherjee, Asim Guchhait, Yin Thai Chan

Proceedings Volume 9758, 97580G (2016) https://doi.org/10.1117/12.2213054

KEYWORDS: Quantum dots, Metals, Nanoparticles, Absorption, Lead, Gold, Raman spectroscopy, Spectroscopy, Semiconductors, Molybdenum

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Proceedings Article | 14 March 2016 Paper

Keeping 2D materials visible even buried in SoI wafers

Ergun Simsek, Bablu Mukherjee

Proceedings Volume 9752, 97520R (2016) https://doi.org/10.1117/12.2213085

KEYWORDS: Oxides, Visibility, Graphene, Semiconducting wafers, Reflectivity, Visualization, Transition metals, Optoelectronics, Silicon, Silica, Visible radiation, Absorption, Thin films

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Proceedings Article | 31 May 2013 Paper

Tunable graphene-based SPR sensors

Ergun Simsek

Proceedings Volume 8719, 87190S (2013) https://doi.org/10.1117/12.2018592

KEYWORDS: Graphene, Sensors, Nanoparticles, Surface plasmons, Metals, Refractive index, Dielectrics, Gold, Glasses, Nanolithography

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Conference Committee Involvement (1)

Applications of Machine Learning 2024

20 August 2024 | San Diego, California, United States

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