Publications

Peer-reviewed articles, preprints, and conference proceedings — machine learning and optimization for physical systems. For a full CV, see the curriculum vitae.

Journal articles & preprints

  1. 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., Machine-learning-assisted photonic device development: a multiscale approach from theory to characterization, Nanophotonics, Vol. 14, Issue 23 (July 2025)
  2. Iyer, V., Wilson, B.A., Chen, Y., Kildishev, A.V., Shalaev, V.M., Boltasseva, A., Deep learning in photonic device development: nuances and opportunities, npj Nanophotonics 3, 5 (2026)
  3. Bezick, M., Wilson, B.A., Iyer, V., Chen, Y., Shalaev, V.M., Kais, S., Kildishev, A.V., Lackey, B., Boltasseva, A., PearSAN: A Machine Learning Method for Inverse Design Using Pearson Correlated Surrogate Annealing, Advanced Optical Materials (2026): e00249
  4. Wilson, B., Chen, Y., Singh, D.K., Ojha, R., Pottle, J., Bezick, M., Boltasseva, A., Shalaev, V., Kildishev, A., Authentication Through Residual, Attention-based Processing of Tampered Optical Responses, Advanced Photonics, Vol. 6, Issue 5, 056002 (July 2024).
  5. Wilson, B., Wurtz, J., Mkhitaryan, V., Bezick, M., Wang, S.T., Kais, S., Shalaev, V., Boltasseva, A., Non-native Quantum Generative Optimization with Adversarial Autoencoders, arXiv preprint arXiv:2407.13830
  6. Wilson, B., Dickey, E., Iyer, V., Kais, S., A Relative Church-Turing-Deutsch Thesis from Special Relativity and Undecidability, In Peer-Review, arXiv:2206.06419
  7. Wilson, B., Hudack, J., Sundaram, S., Planning for Package Deliveries in Risky Environments Over Multiple Epochs, American Controls Conference 2022, arXiv:2110.09917
  8. Wilson, B., Kudyshev, Z., Kildishev, A., Shalaev, V., Kais, S., Boltasseva, A., Machine Learning Framework for Quantum Sampling of Highly-Constrained, Continuous Optimization Problems, Applied Physics Reviews, 8, 041418, (Impact Factor: 19.16)
  9. Wilson, B., Kudyshev, Z., Kildishev, A., Shalaev, V., Kais, S., Boltasseva, A., Metasurface Design Optimization via D-Wave based Sampling, CLEO 2021
  10. Wilson, B., Bounds on Sweep-Covers by Raney Numbers, Preprint, arXiv:2009.08549
  11. Wilson, B., Prasad, A., Sundaram, S., Multiple Pursuers Under Partial Information from Sensors, Preprint Revisement

Conferences, workshops & posters

  1. Chen, Y., Bezick, M., Wilson, B., Kildishev, A., Shalaev, V., Boltasseva, A., Physics-Conditioned Diffusion Model for the Inverse-Design of High-efficiency Thermophotovoltaic Metasurface, CLEO (2025)
  2. Bezick, M., Wilson, B., Iyer, V., Chen, Y., Shalaev, V., Kais, S., Kildishev, A., Boltasseva, A., Lackey, B., Photonic Inverse Design Through Machine Learning and Correlated Surrogate Annealing, CLEO (2025)
  3. Bezick, M., Wilson, B., Iyer, V., Chen, Y., Shalaev, V., Kais, S., Kildishev, A., Boltasseva, A., Lackey, B., PearSAN: an inverse design framework for the latent optimization of photonic devices using Pearson Correlated Surrogate Annealing, APS Global Physics Summit March Meeting (2024)
  4. Chen, Y., Bezick, M., Wilson, B., Kildishev, A., Boltasseva, A., Shalaev, V., Physics-conditioned deep generative model for high-efficiency metasurface thermal emitter design, APS Global Physics Summit March Meeting (2024)
  5. Wilson, B., Chen, Y., Singh, D.K., Ojha, R., Pottle, J., Bezick, M., Boltasseva, A., Shalaev, V., Kildishev, A., Machine-learning-assisted optical authentication of chip tampering, Photonic Computing: From Materials and Devices to Systems and Applications (2024)
  6. Tandon, S., Welling, A., Wilson, B., Mkhitaryan, V., Shalaev, V., Boltasseva, A., Computational Electromagnetics and Green’s Function Source Optimization of Variational Quantum Algorithms, Purdue University Spring Undergraduate Research Conference (2024)
  7. Tandon, S., Welling, A., Wilson, B., Mkhitaryan, V., Shalaev, V., Boltasseva, A., Discrete, Tunable Wavefront Engineering using Binary Quadratic Optimization, Purdue University Spring Undergraduate Research Conference (2024)
  8. Chitturi, G., Do, T., Chen, Y., Wilson, B., Shalaev, V., Boltasseva, A., Senichev, A., Machine learning-assisted rapid clustering and mechanism exploration of single photon emitters, Purdue University Spring Undergraduate Research Conference (2024)
  9. Malavathu, R., Wilson, B., Boltasseva, A., NanoMCMC and Polytensor, Purdue University Spring Undergraduate Research Conference (2024)
  10. Bezick, M., Iyer, V., Wilson, B., Boltasseva, A., Applications of Variational Neural Annealing for Machine Learning-Assisted Topological Optimization, Purdue University Spring Undergraduate Research Conference (2024)
  11. Singh, D.K., Ojha, R., Chen, Y., Wilson, B., Bezick, M., Boltasseva, A., Shalaev, V., Kildishev, A., Machine Learning Realization of PUFS with Random Plasmonic Systems, CI + AI Cyberinfrastructure Symposium (2023)
  12. Bezick, M., Wilson, B., Boltasseva, A., Latent Diffusion for Material Topology Sampling, CI + AI Cyberinfrastructure Symposium (2023)
  13. Wilson, B., Iyer, V., Shalaev, V., Kildishev, A., Kais, S., Boltasseva, A., Learning Van der Waals Potentials in Surrogate Rydberg Hamiltonians, 3rd Annual Quantum Summer School (2023)
  14. Bezick, M., Wilson, B., Boltasseva, A., Denoising Diffusion for Material Topology Sampling, Spring Undergraduate Research citation (2023)
  15. Singh, D.K., Chen, Y., Wilson, B., Boltasseva, A., Shalaev, V., Kildishev, A., Plasmonic nanoparticle densities for physical verification of unclonable spectral tags in microelectronics packaging, Spring Undergraduate Research citation (2023)
  16. Wilson, B., Chen, Y., Shalaev, V., Kildishev, A., Kais, S., Boltasseva, A., Empowering Quantum 2.0 Devices and Approaches with Machine Learning (QTu2A.13), Quantum 2.0 (2022)
  17. Wilson, B., Iyer, V., Shalaev, V., Kildishev, A., Kais, S., Boltasseva, A., Metasurface Compression Analysis via bVAE Reconstruction Loss, ECE Elmore Emerging Frontiers Center Poster Session (2022)
  18. Boltasseva, A., Shalaev, V., Wilson, B., Machine learning for photonics Active Photonic Platforms, 2022, PC121960T
  19. Wilson, B., Mkhitaryan, V., Shalaev, V., Kildishev, A., Kais, S., Boltasseva, A., Source Shaping for Electromagnetic Optimization via Higher-Order Variational Quantum Algorithms, 2nd Annual Quantum Summer School (2022)
  20. Wilson, B., Chen, Y., Shalaev, V., Kildishev, A., Kais, S., Boltasseva, A., Machine Learning for Nanophotonic Design and Quantum Measurements, Purdue Elmore Center (2021)