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Publications

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Journals & preprints

  1. Bounds on Decorated Sweep Covers in Tree Posets

    Wilson, B.A., Krawchuk, C.

    arXiv preprint arXiv:2604.03165, 2026

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  2. Deep learning in photonic device development: nuances and opportunities

    Iyer, V., Wilson, B.A., Chen, Y., Kildishev, A.V., Shalaev, V.M., Boltasseva, A.

    npj Nanophotonics 3, 5 (2026), 2026

    Link

  3. PearSAN: A Machine Learning Method for Inverse Design Using Pearson Correlated Surrogate Annealing

    Bezick, M., Wilson, B.A., Iyer, V., Chen, Y., Shalaev, V.M., Kais, S., Kildishev, A.V., Lackey, B., Boltasseva, A.

    Advanced Optical Materials (2026): e00249, 2026

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  4. Machine-learning-assisted photonic device development: a multiscale approach from theory to characterization

    Chen, Y., Montes McNeil, A., Park, T., Wilson, B., Iyer, V., Bezick, M., Choi, J., Ojha, R., Mahendran, P., Singh, D.K., Chitturi, G., Chen, P., Do, T., Kildishev, A., Shalaev, V., Moebius, M., Cai, W., Liu, Y., Boltasseva, A.

    Nanophotonics, Vol. 14, Issue 23 (July 2025), 2025

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  5. Authentication Through Residual, Attention-based Processing of Tampered Optical Responses

    Wilson, B., Chen, Y., Singh, D.K., Ojha, R., Pottle, J., Bezick, M., Boltasseva, A., Shalaev, V., Kildishev, A.

    Advanced Photonics, Vol. 6, Issue 5, 056002 (July 2024)., 2024

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  6. Non-native Quantum Generative Optimization with Adversarial Autoencoders

    Wilson, B., Wurtz, J., Mkhitaryan, V., Bezick, M., Wang, S.T., Kais, S., Shalaev, V., Boltasseva, A.

    arXiv preprint arXiv:2407.13830, 2024

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  7. A Relative Church-Turing-Deutsch Thesis from Special Relativity and Undecidability

    Wilson, B., Dickey, E., Iyer, V., Kais, S.

    In Peer-Review, arXiv:2206.06419, 2022

    PDF

  8. Planning for Package Deliveries in Risky Environments Over Multiple Epochs

    Wilson, B., Hudack, J., Sundaram, S.

    American Controls Conference 2022, arXiv:2110.09917, 2022

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  9. Multiple Pursuers Under Partial Information from Sensors

    Wilson, B., Prasad, A., Sundaram, S.

    Preprint Revisement, 2022

    Link

  10. Machine Learning Framework for Quantum Sampling of Highly-Constrained, Continuous Optimization Problems

    Wilson, B., Kudyshev, Z., Kildishev, A., Shalaev, V., Kais, S., Boltasseva, A.

    Applied Physics Reviews, 8, 041418 (Impact Factor: 19.16), 2021

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  11. Metasurface Design Optimization via D-Wave based Sampling

    Wilson, B., Kudyshev, Z., Kildishev, A., Shalaev, V., Kais, S., Boltasseva, A.

    CLEO 2021, 2021

  12. Bounds on Sweep-Covers by Raney Numbers

    Wilson, B.

    Preprint, arXiv:2009.08549, 2020

    PDF

Conference proceedings & talks

  1. Physics-Conditioned Diffusion Model for the Inverse-Design of High-efficiency Thermophotovoltaic Metasurface

    Chen, Y., Bezick, M., Wilson, B., Kildishev, A., Shalaev, V., Boltasseva, A.

    CLEO (2025), 2025

  2. Photonic Inverse Design Through Machine Learning and Correlated Surrogate Annealing

    Bezick, M., Wilson, B., Iyer, V., Chen, Y., Shalaev, V., Kais, S., Kildishev, A., Boltasseva, A., Lackey, B.

    CLEO (2025), 2025

  3. PearSAN: an inverse design framework for the latent optimization of photonic devices using Pearson Correlated Surrogate Annealing

    Bezick, M., Wilson, B., Iyer, V., Chen, Y., Shalaev, V., Kais, S., Kildishev, A., Boltasseva, A., Lackey, B.

    APS Global Physics Summit March Meeting (2024), 2024

    Link

  4. Physics-conditioned deep generative model for high-efficiency metasurface thermal emitter design

    Chen, Y., Bezick, M., Wilson, B., Kildishev, A., Boltasseva, A., Shalaev, V.

    APS Global Physics Summit March Meeting (2024), 2024

    Link

  5. Machine-learning-assisted optical authentication of chip tampering

    Wilson, B., Chen, Y., Singh, D.K., Ojha, R., Pottle, J., Bezick, M., Boltasseva, A., Shalaev, V., Kildishev, A.

    Photonic Computing: From Materials and Devices to Systems and Applications (2024), 2024

    Link

  6. Computational Electromagnetics and Green’s Function Source Optimization of Variational Quantum Algorithms

    Tandon, S., Welling, A., Wilson, B., Mkhitaryan, V., Shalaev, V., Boltasseva, A.

    Purdue University Spring Undergraduate Research Conference (2024), 2024

    PDF

  7. Discrete, Tunable Wavefront Engineering using Binary Quadratic Optimization

    Tandon, S., Welling, A., Wilson, B., Mkhitaryan, V., Shalaev, V., Boltasseva, A.

    Purdue University Spring Undergraduate Research Conference (2024), 2024

    PDF

  8. Machine learning-assisted rapid clustering and mechanism exploration of single photon emitters

    Chitturi, G., Do, T., Chen, Y., Wilson, B., Shalaev, V., Boltasseva, A., Senichev, A.

    Purdue University Spring Undergraduate Research Conference (2024), 2024

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  9. NanoMCMC and Polytensor

    Malavathu, R., Wilson, B., Boltasseva, A.

    Purdue University Spring Undergraduate Research Conference (2024), 2024

    PDF

  10. Applications of Variational Neural Annealing for Machine Learning-Assisted Topological Optimization

    Bezick, M., Iyer, V., Wilson, B., Boltasseva, A.

    Purdue University Spring Undergraduate Research Conference (2024), 2024

    PDF

  11. Machine Learning Realization of PUFS with Random Plasmonic Systems

    Singh, D.K., Ojha, R., Chen, Y., Wilson, B., Bezick, M., Boltasseva, A., Shalaev, V., Kildishev, A.

    CI + AI Cyberinfrastructure Symposium (2023), 2023

  12. Latent Diffusion for Material Topology Sampling

    Bezick, M., Wilson, B., Boltasseva, A.

    CI + AI Cyberinfrastructure Symposium (2023), 2023

  13. Learning Van der Waals Potentials in Surrogate Rydberg Hamiltonians

    Wilson, B., Iyer, V., Shalaev, V., Kildishev, A., Kais, S., Boltasseva, A.

    3rd Annual Quantum Summer School (2023), 2023

  14. Denoising Diffusion for Material Topology Sampling

    Bezick, M., Wilson, B., Boltasseva, A.

    Spring Undergraduate Research citation (2023), 2023

  15. Plasmonic nanoparticle densities for physical verification of unclonable spectral tags in microelectronics packaging

    Singh, D.K., Chen, Y., Wilson, B., Boltasseva, A., Shalaev, V., Kildishev, A.

    Spring Undergraduate Research citation (2023), 2023

  16. Empowering Quantum 2.0 Devices and Approaches with Machine Learning (QTu2A.13)

    Wilson, B., Chen, Y., Shalaev, V., Kildishev, A., Kais, S., Boltasseva, A.

    Quantum 2.0 (2022), 2022

  17. Metasurface Compression Analysis via bVAE Reconstruction Loss

    Wilson, B., Iyer, V., Shalaev, V., Kildishev, A., Kais, S., Boltasseva, A.

    ECE Elmore Emerging Frontiers Center Poster Session (2022), 2022

  18. Machine learning for photonics Active Photonic Platforms

    Boltasseva, A., Shalaev, V., Wilson, B.

    2022, PC121960T, 2022

  19. Source Shaping for Electromagnetic Optimization via Higher-Order Variational Quantum Algorithms

    Wilson, B., Mkhitaryan, V., Shalaev, V., Kildishev, A., Kais, S., Boltasseva, A.

    2nd Annual Quantum Summer School (2022), 2022

  20. Machine Learning for Nanophotonic Design and Quantum Measurements

    Wilson, B., Chen, Y., Shalaev, V., Kildishev, A., Kais, S., Boltasseva, A.

    Purdue Elmore Center (2021), 2021