Blake A. Wilson
Computer Science · Purdue University West Lafayette
Publications
20
Citations
90
Est. group size
~7
Recurring co-author estimate
Active years
21
Publishing since 2005
Blake A. Wilson works at the intersection of machine learning and photonics/quantum technology, developing computational methods to design optical devices such as metasurfaces (engineered flat optical components) and to solve hard optimization problems relevant to quantum computing. Recent work also explores using machine learning for optical authentication (detecting tampering in optical or chip systems) and combines physics-based models with AI techniques like diffusion models and adversarial autoencoders. Earlier work included robotics-related planning problems and nanoparticle-based photothermal materials.
Publication output was sparse and irregular from 2017-2020, then increased with bursts of activity in 2021-2022 and again in 2024-2025, suggesting growing recent productivity after earlier gaps.
Generated by claude-sonnet-5 from public bibliographic data · Jul 20, 2026
- Physics-informed latent diffusion model for high-efficiency metasurface optimization
2025
- Machine-learning assisted surrogate annealing for photonic device inverse design
2025
- Photonic Inverse Design Through Machine Learning and Correlated Surrogate Annealing
2025
- Authentication through residual attention-based processing of tampered optical responses
Advanced Photonics · 2024
- Non-native Quantum Generative Optimization with Adversarial Autoencoders
arXiv (Cornell University) · 2024
- PearSAN: A Machine Learning Method for Inverse Design using Pearson Correlated Surrogate Annealing
arXiv (Cornell University) · 2024
- Machine-learning-assisted optical authentication of chip tampering
2024
- Empowering Quantum 2.0 Devices and Approaches with Machine Learning
Quantum 2.0 Conference and Exhibition · 2022
- Planning for Package Deliveries in Risky Environments Over Multiple Epochs
2022 American Control Conference (ACC) · 2022
- Significantly amplified photoacoustic effect for silica-coated gold nanoparticles by interface heat transfer mechanisms
bioRxiv (Cold Spring Harbor Laboratory) · 2022
- Machine learning framework for quantum sampling of highly constrained, continuous optimization problems
Applied Physics Reviews · 2021
- Metasurface design optimization via D-Wave based sampling
Conference on Lasers and Electro-Optics · 2021
- Machine Learning Framework for Quantum Sampling of Highly-Constrained, Continuous Optimization Problems
arXiv (Cornell University) · 2021
- Site Selective Nucleation and Size Control of Gold Nanoparticle Photothermal Antennae on the Pore Structures of a Virus and Confined Drug Delivery Manuscript
ChemRxiv · 2018
- Pursuit Evasion with Multiple Pursuers : Capturing a Ground Vehicle on a Road Network with Multiple Drones
Purdue e-Pubs (Purdue University System) · 2017
- arXiv (Cornell University)×3
- Applied Physics Reviews×1
- Nanophotonics×1
- Advanced Photonics×1
- Purdue e-Pubs (Purdue University System)×1
- Jie Liu
Computer Science · The Ohio State University
- Jinglei Cheng
Computer Science · Purdue University West Lafayette
- Amandeep Singh Bhatia
Computer Science · Purdue University West Lafayette
- David E. Bernal Neira
Computer Science · Purdue University West Lafayette
- Kaifeng Bu
Computer Science · The Ohio State University
This profile was generated automatically from public scholarly data (OpenAlex). Group size and activity levels are estimates derived from co-authorship patterns.
Last updated Jul 20, 2026.
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