Blake Wilson

1. 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, In Review

2. 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

3. Wilson, B., Hudack, J., Sundaram, S., Planning for Package Deliveries in Risky Environments Over Multiple Epochs, American Controls Conference 2022, arXiv:2110.09917

4. 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)

5. Wilson, B., Kudyshev, Z., Kildishev, A., Shalaev, V., Kais, S., Boltasseva, A., Metasurface Design Optimization via D-Wave based Sampling, CLEO 2021

6. Wilson, B., Bounds on Sweep-Covers by Raney Numbers, Preprint, arXiv:2009.08549

7. Wilson, B., Prasad, A., Sundaram, S., Multiple Pursuers Under Partial Information from Sensors, Preprint Revisement

1. 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)

2. Bezick, M., Wilson, B., Boltasseva, A., Latent Diffusion for Material Topology Sampling, CI + AI Cyberinfrastructure Symposium (2023)

3. 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)

4. Bezick, M., Wilson, B., Boltasseva, A., Denoising Diffusion for Material Topology Sampling, Spring Undergraduate Research citation (2023)

5. 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)

6. 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)

7. 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)

8. Boltasseva, A., Shalaev, V., Wilson, B., Machine learning for photonics Active Photonic Platforms, 2022, PC121960T

9. 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)

10. Wilson, B., Chen, Y., Shalaev, V., Kildishev, A., Kais, S., Boltasseva, A., Machine Learning for Nanophotonic Design and Quantum Measurements, Purdue Elmore Center (2021)

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Quantum Computing | Complexity Theory | Numerical Methods | Computational Vision | Generative AI | Optimization | Computational Electromagnetics (CEM) | Optics

Public Speaking | Grant Writing | Publishing | Diversity, Equity & Inclusion (DEI) | Conference Organizing | Open-Source Contribution | Research Leadership