Dr. Mohammadreza Zandehshahvar Profile

Dr. Mohammadreza Zandehshahvar

at Georgia Institute of Technology

SPIE Involvement:

Author

Publications (16)

Proceedings Article | 13 March 2024 Presentation

Simplifying nano-photonic structure inverse design with neural networks: a study of statistical and computational complexity

Mohammad H. Javani, Mohammadreza Zandshahvar, Ali Adibi

Proceedings Volume PC12896, PC128960N (2024) https://doi.org/10.1117/12.3012748

KEYWORDS: Nanophotonics, Design and modelling, Neural networks, Data modeling, Statistical modeling, Modeling, Education and training

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Proceedings Article | 13 March 2024 Presentation

Exploring the nexus of nanophotonics and machine learning: unraveling the influence of design parameters on device response

Mohammad H. Javani, Mohammadreza Zandehshahvar, Tyler Brown, Mahmoodreza Marzban, Ali Adibi

Proceedings Volume PC12896, PC128960I (2024) https://doi.org/10.1117/12.3012747

KEYWORDS: Design and modelling, Nanophotonics, Machine learning, Physics, Numerical analysis, Maxwell equations

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Proceedings Article | 7 April 2023 Presentation

Bayesian neural networks for severity assessment of COVID-19 pneumonia from chest x-ray using a multi-reader and binational dataset

Mohammadreza Zandehshahvar, Marly van Assen, Eun Young Kim, Yashar Kiarashi, Vikranth Keerthipati, Arthur Stillman, Peter Filev, Amir Davarpanah, Eugene Berkowitz, Stefan Tigges, Scott Lee, Brianna Vey, Carlo De Cecco, Ali Adibi

Proceedings Volume 12465, 124650G (2023) https://doi.org/10.1117/12.2653346

KEYWORDS: Chest imaging, Neural networks, Lung, Data modeling, Radiology, Monte Carlo methods, Machine learning

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Proceedings Article | 17 March 2023 Presentation

Assessing the design complexity of nanophotonic structures using machine learning

Mohammad Hadigheh Javani, Mohammadreza Zandehshahvar, Ali Adibi

Proceedings Volume PC12431, PC124310Q (2023) https://doi.org/10.1117/12.2661602

KEYWORDS: Nanophotonics, Machine learning, Structural design, Photonic nanostructures, Neural networks, Network architectures

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Proceedings Article | 17 March 2023 Poster

Predictions of nonlinear generation from dielectric metasurfaces using a convolutional neural network

Muliang Zhu, Mohammadreza Zandehshahvar, Yashar Kiarashinejad, Sajjad Abdollahramezani, Ali Adibi

Proceedings Volume PC12431, PC1243119 (2023) https://doi.org/10.1117/12.2661614

KEYWORDS: Dielectrics, Convolutional neural networks, Silicon, Near infrared, Ultrafast phenomena, Third-harmonic generation, Physics, Optical simulations, Nanotechnology, Nanostructures

Proceedings Article | 17 March 2023 Presentation

Understanding the role of different design parameters in the response of nanophotonic structures

Mohammad Hadigheh Javani, Mohammadreza Zandehshahvar, Ali Adibi

Proceedings Volume PC12431, PC124310T (2023) https://doi.org/10.1117/12.2661603

KEYWORDS: Nanophotonics, Neural networks, Machine learning, Evolutionary algorithms

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Proceedings Article | 17 March 2023 Presentation

Metric learning: a new approach for defining similarity measures for nanophotonics

Mohammadreza Zandehshahvar, Yashar Kiarashi, Muliang Zhu, Daqian Bao, Mohammad Hadigheh Javani, Reza Pourabolghasem, Ali Adibi

Proceedings Volume PC12431, PC124310P (2023) https://doi.org/10.1117/12.2661572

KEYWORDS: Nanophotonics

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Proceedings Article | 15 March 2023 Presentation + Paper

New paradigms in manifold learning for knowledge discovery and inverse design of photonic nanostructures

Mohammadreza Zandehshahvar, Mohammad Hadigheh Javani, Yashar Kiarashi, Muliang Zhu, Tyler Brown, Daqian Bao, Mahmoodreza Marzban, Reza Pourabolghasem, Ali Adibi

Proceedings Volume 12430, 1243009 (2023) https://doi.org/10.1117/12.2662754

KEYWORDS: Design and modelling, Machine learning, Photonic nanostructures, Nanophotonics, Knowledge discovery, Modeling, Silica, Nanostructures, Thin films, Computer aided design

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Proceedings Article | 5 March 2022 Presentation

Manifold learning: A promising tool for knowledge discovery and inverse design in nanophotonics

Mohammadreza Zandehshahvar, Yashar Kiarashi, Muliang Zhu, Tyler Brown, Mohammad Hadighe Javani, Ali Adibi

Proceedings Volume PC12010, PC120100U (2022) https://doi.org/10.1117/12.2617486

KEYWORDS: Nanophotonics, Nanostructures, Knowledge discovery, Artificial intelligence, Physics, Visualization, Structural design, Optimization (mathematics), Light-matter interactions, Genetic algorithms

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Proceedings Article | 5 March 2022 Presentation

Machine learning for efficient inverse design of nanophotonics structures

Mohammadreza Zandehshahvar, Mohammad Hadighe Javani, Michael Chen, Tyler Brown, Yashar Kiarashi, Ali Adibi

Proceedings Volume PC12010, PC120100W (2022) https://doi.org/10.1117/12.2617485

KEYWORDS: Nanophotonics, Structural design, Machine learning, Data modeling, Physics, Nanostructures, Knowledge discovery, Inverse problems

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Proceedings Article | 3 August 2021 Presentation

Latent learning for design and knowledge discovery in nanophotonics

Yashar Kiarashi, Mohammadreza Zandehshahvar, Muliang Zhu, Hossein Maleki, Sajjad Abdollahramezani, Tyler Brown, Reid Barton, Ali Adibi

Proceedings Volume 11795, 1179505 (2021) https://doi.org/10.1117/12.2595199

KEYWORDS: Nanophotonics, Knowledge discovery, Physics, Nanostructures, Light-matter interactions

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Proceedings Article | 5 March 2021 Presentation

Revealing the hidden capacity of artificial intelligence in nanoscience: physics-driven metric learning

Hossein Maleki, Mohammadreza Zandehshahvar, Yashar Kiarashi, Muliang Zhu, Ali Adibi

Proceedings Volume 11694, 116940O (2021) https://doi.org/10.1117/12.2590756

KEYWORDS: Signal attenuation, Machine learning, Evolutionary algorithms, Artificial intelligence, Nanophotonics, Photonic nanostructures, Performance modeling, Nanostructures, Knowledge discovery, Error analysis

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Proceedings Article | 5 March 2021 Presentation

Manifold learning for knowledge discovery and design in nanophotonics

Yashar Kiarashi, Mohammadreza Zandehshahvar, Ali Adibi

Proceedings Volume 11694, 116940M (2021) https://doi.org/10.1117/12.2590199

KEYWORDS: Nanostructures, Nanophotonics, Knowledge discovery, Wave propagation, Physics, Light-matter interactions

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Proceedings Article | 5 March 2021 Presentation

Breaking the geometric complexity of nanostructures using manifold learning

Mohammadreza Zandehshahvar, Yashar Kiarashi, Muliang Zhu, Hossein Maleki, Tyler Brown, Ali Adibi

Proceedings Volume 11694, 116940S (2021) https://doi.org/10.1117/12.2590200

KEYWORDS: Nanostructures, Structural design, Nanolithography, Artificial intelligence, Silica, Physics, Photonic nanostructures, Nanotechnology, Nanophotonics, Fabrication

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