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J. Feng, A. Perry, X. Weng, A. K. González-Alcalde, O. Arteaga, M. J. Mencagli, and L. T. Vuong, Polarimetric Compressed Sensing with Hollow, Self-Assembled Diffractive Films, ACS Nano 19, 4222–4232 (2025). https://doi.org/10.1021/acsnano.4c09641
X. Weng, J. Feng, A. Perry, and L. T. Vuong, Non-Line-of-Sight Full-Stokes Polarimetric Imaging with Solution-Processed Metagratings and Shallow Neural Networks, ACS Photonics 10, 2570 (2023). https://doi.org/10.1021/acsphotonics.3c00291
J. Feng, X. Weng, M. A. G. Mandujano, B. Muminov, G. Ahuja, E. R. Méndez, Y. Yin, and L. T. Vuong, Insect-Inspired Nanofibrous Polyaniline Multi-Scale Films for Hybrid Polarimetric Imaging with Scattered Light, Nanoscale Horiz. 7, 319 (2022).https://doi.org/10.1039/D1NH00465D
T. M. Crumpton and L. T. Vuong, Spatiotemporal tracking of optical speckles in turbulent atmospheric propagation, Appl. Opt. 65, H78 (2026). https://doi.org/10.1364/AO.599858
K. Sunilkumar, T. M. Crumpton, and L. T. Vuong, Global coherence of Laguerre–Gaussian beams propagating through atmospheric turbulence: a dominant-scale approximation approach, Appl. Opt. 65, H126 (2026).https://doi.org/10.1364/AO.600162
X. Weng, A. Perry, M. Maroun, and L. T. Vuong, Singular Value Decomposition and Entropy Dimension of Fractals, 2022 International Conference on Image Processing, Computer Vision and Machine Learning (ICICML) (2022). https://doi.org/10.1109/ICICML57342.2022.10009680
X. Weng and L. T. Vuong, Fractal, diffraction-encoded space-division multiplexing for FSO with misalignment-robust, roaming transceivers, Sci Rep 12, (2022). https://doi.org/10.1038/s41598-022-06660-
A. K. González‐Alcalde, X. Shi, V. H. Ortiz, J. Feng, R. B. Wilson, and L. T. Vuong, Enhanced inverse Faraday effect and time‐dependent thermo‐transmission in gold nanodisks, Nanophotonics 13, 1993–2002 (2024). https://doi.org/10.1515/nanoph-2023-0777
N. V. Proscia, M. Moocarme, R. Chang, I. Kretzschmar, V. M. Menon, and L. T. Vuong, Control of photo-induced voltages in plasmonic crystals via spin-orbit interactions, Opt. Express 24, 10402 (2016). https://doi.org/10.1364/OE.24.010402
N. Singh, J. Leung, J. Feng, A. K. González-Alcalde, A. Tolentino, D. Tuft, J. Guo, and L. T. Vuong, Spectrum Selective Interfaces and Materials toward Nonphotothermal Saltwater Evaporation: Demonstration with a White Ceramic Wick, ACS Appl. Mater. Interfaces 17, 58837–58845 (2025). https://doi.org/10.1021/acsami.5c12331
J. L. Dominguez-Juarez, S. Vallone, A. Lempel, M. Moocarme, J. Oh, H. D. Gafney, and L. T. Vuong, "Influence of solvent polarity on light-induced thermal cycles in plasmonic nanofluids," Optica 2, 447 (2015). https://doi.org/10.1364/OPTICA.2.000447
A. Perry and L. T. Vuong, Phase-gradient information from vortex encoders, Appl. Opt. 65, G96 (2026). https://doi.org/10.1364/AO.589275
A. Perry and L. T. Vuong, Generalized training for neural network learnability: a spectral methods approach, Emerging Topics in Artificial Intelligence (ETAI) 2025 66 (2025).https://doi.org/10.1117/12.3066337
B. Muminov and L. T. Vuong, Fourier Optical Preprocessing in Lieu of Deep Learning, Optica 7, 1079 (2020). https://doi.org/10.1364/OPTICA.397707
The Top Ten MMO Research Clusters
The Top Ten MMO Research Clusters
10 - Bio-inspired Computing: Optical Preprocessing and Shallow Algorithms. The time and energy costs of analyzing data grows at a rate much faster than the data. We explore image processing with a combination of analog, linear, optical wave-front shaping and shallow, nonlinear, digital electronic computation. The combination is fast, simple, low-power, and easy to interpret.
VuongFiO.mp4See our OPN Feature Article (2023), the invited FiO (2021) talk, article in Optica research article on image reconstruction (2020), or SPIE on image classification with no hidden layers (2021).
9 - Non-coaxial Polarimetric Imaging with Multi-scale Materials and Compressive Sensing. Knowledge of light polarization offers extra information but also requires multiple measurements, bulky or expensive nanofabricated optics. Here, we use multi-scale self-assembled nanomaterial. The scattered, diffracted light encodes polarization and pointing information.
8 - Fractal, Entropy Measures and Proxies for Image Complexity.
In particular, we pay attention to Singular Value Decomposition Entropy. See our 2023 IEEE paper.
7- Multimodal Characterization of Nanophotonic Materials.
6 - Laser Material Surface Patterning and (Magnetic) Self Assembly
5 - Fractal Structured Beams We studied fractal in a 4-F system in 2015, Fresnel propagation in 2022, and propagation through turbulence in 2023.
4 - Light-induced Magnetism In 2012, we shone light from a xenon lamp on a sealed container of gold nanoparticles and allowed it to settle over minutes. Then we noticed small magnetic fields would influence the scattering when light shone on the solution (2012). Ultralow magnetic and mechanical effects are reported (2014).
5 - Symmetry-breaking Nanophotonic Lorentz Forces and Voltages Spin-orbit interactions (i.e., the interaction of light polarization and non-rotationally-symmetric geometries) occur.
See Phys Ref Lett (2010) on the spin-orbit interactions via scattering These forces yield pulling and torque forces with nanowires (2014), static voltages in inverse-opal structures (2015), mixed modes in tilted-slit meta-structures (2017), and, statistically-favored chain-like self-assembly over ultralong length scales in nanofluids (2018).
2 - Light-actuated Dynamics in Plasmonic Nanofluids. We studied the Marangoni, self-synchronizing flows of plasmonic nanofluids where alcohol and water do not mix!
vlc-record-2013-06-03-19h45m04s-20nmside.avi-.aviSee work on Optica (2015), Phys Rev Fluids (2017).
1 - Solar Desalination
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