Blake A. Wilson
Scholar

Blake A. Wilson

Google Scholar ID: 7iZVKuoAAAAJ
Quantinuum
Machine LearningNanophotonicsGenerative ModelingOptimization
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Citations & Impact
All-time
Citations
63
 
H-index
4
 
i10-index
1
 
Publications
19
 
Co-authors
9
list available
Contact
CVOpen ↗GitHubOpen ↗LinkedInOpen ↗
Publications
2 items
Machine-Learning-Assisted Photonic Device Development: A Multiscale Approach from Theory to Characterization
2025
Cited
0
PearSAN: A Machine Learning Method for Inverse Design using Pearson Correlated Surrogate Annealing
2024
Cited
0
Resume (English only)
Research Experience
  • Research focuses on using AI to optimize device design (e.g., employing LDMs, GANs, VAEs to enhance search efficiency), building efficient and interpretable probabilistic models by incorporating principles from statistical mechanics and electromagnetism, and applying MCMC and Markov processes to tackle complex optimization challenges.
Background
  • Research Interests: AI for Physics and Optimization; Specialization: AI-Assisted Device Design, Physics-Inspired Generative Modeling, Optimization Techniques.
Miscellany
  • Social Media: Facebook, GitHub, Instagram, LinkedIn
Co-authors
9 total
Alexandra Boltasseva
Alexandra Boltasseva
Purdue University
VM Shalaev
VM Shalaev
Purdue University
Alexander V. Kildishev
Alexander V. Kildishev
Professor of ECE, Purdue University
Sabre Kais
Sabre Kais
Goodnight Distinguished Chair in Quantum Computing”, ECE at NC State
Yuheng Chen
Yuheng Chen
Elmore Family School of Electrical and Computer Engineering, Purdue University
Zhaxylyk Kudyshev
Zhaxylyk Kudyshev
ASML
Shreyas Sundaram
Shreyas Sundaram
Marie Gordon Professor of Electrical and Computer Engineering, Purdue University
Co-author 8
Co-author 8