Portfolio item number 1
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Posts by Collection
portfolio
Portfolio item number 2
Short description of portfolio item number 2
publications
Paper Title Number 1
Published in Journal 1, 2009
This paper is about the number 1. The number 2 is left for future work.
Recommended citation: Your Name, You. (2009). "Paper Title Number 1." Journal 1. 1(1).
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Paper Title Number 2
Published in Journal 1, 2010
This paper is about the number 2. The number 3 is left for future work.
Recommended citation: Your Name, You. (2010). "Paper Title Number 2." Journal 1. 1(2).
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Paper Title Number 3
Published in Journal 1, 2015
This paper is about the number 3. The number 4 is left for future work.
Recommended citation: Your Name, You. (2015). "Paper Title Number 3." Journal 1. 1(3).
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Paper Title Number 4
Published in GitHub Journal of Bugs, 2024
This paper is about fixing template issue #693.
Recommended citation: Your Name, You. (2024). "Paper Title Number 3." GitHub Journal of Bugs. 1(3).
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Paper Title Number 5, with math \(E=mc^2\)
Published in GitHub Journal of Bugs, 2024
This paper is about a famous math equation, \(E=mc^2\)
Recommended citation: Your Name, You. (2024). "Paper Title Number 3." GitHub Journal of Bugs. 1(3).
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An Epidemiological Mixed-Integer Nonlinear Programming Framework for Vaccine Modeling and Patient Allocation During Pandemics
Published in 10th North American International Conference on Industrial Engineering and Operations Management, 2025
A SIRV-integrated mixed-integer nonlinear optimization model for vaccine modeling and patient allocation during pandemic response.
Optimal Linear Baseline Models for Scientific Machine Learning
Published in Foundations of Data Science, 2026
Optimal rank-constrained linear encoder-decoder models for principled scientific machine learning baselines.
Active Learning for Conditional Generative Compressed Sensing
Published in arXiv, 2026
Prompt-conditioned Christoffel sampling for image recovery from subsampled Fourier measurements.
Partitioned-Constraint QAOA (PC-QAOA): Structural State Preparation and Penalty Enforcement for Quantum Optimization
Published in arXiv, 2026
PC-QAOA partitions constraints between feasibility-preserving state preparation and penalty enforcement for constrained quantum optimization.
Recommended citation: Anthony Wilkie, Alexander DeLise, Andrew Del Real, Rebekah Herrman, and James Ostrowski. (2026). "Partitioned-Constraint QAOA (PC-QAOA): Structural State Preparation and Penalty Enforcement for Quantum Optimization." arXiv:2508.02590v2.
talks
Cost-Effective Location Allocation for COVID-19 Patient Assignment in Florida: A Data-Driven Approach
Published:
Poster presentation on COVID-19 patient assignment and data-driven location allocation in Florida.
Learning Feasible States with ma-QAOA and QAOA for Constrained Optimization
Published:
Poster presentation on feasible-state preparation for constrained optimization with ma-QAOA and QAOA.
Learning Feasible States with ma-QAOA and QAOA for Constrained Optimization
Published:
Poster presentation on feasible quantum-state preparation for constrained optimization.
Data-Driven Patient Allocation Optimization with Epidemic and Vaccine Modeling
Published:
Poster presentation on patient allocation optimization with epidemic and vaccine modeling.
Data-Driven Patient Allocation Optimization with Epidemic and Vaccine Modeling
Published:
Poster presentation on SIRV-informed patient allocation optimization.
Optimal Rank-Constrained Mappings for Linear ED Architectures
Published:
Poster presentation on optimal rank-constrained mappings for linear encoder-decoder architectures.
Optimal Linear Baseline Models for Scientific Machine Learning
Published:
This invited talk presented work on constructing optimal linear baseline models to benchmark scientific machine learning architectures.
Optimal Linear Baseline Models for Scientific Machine Learning
Published:
This contributed talk discussed the development of optimal rank-constrained mappings within linear encoder-decoder architectures for scientific machine learning.
Optimal Rank-Constrained Mappings for Linear ED Architectures
Published:
Poster presentation on optimal rank-constrained mappings for linear encoder-decoder architectures.
Optimal Rank-Constrained Mappings for Linear ED Architectures
Published:
Poster presentation on optimal rank-constrained mappings for linear encoder-decoder architectures.
Active Learning for Conditional Generative Compressed Sensing
Published:
Contributed talk on active learning for conditional generative compressed sensing.
Active Learning for Conditional Generative Compressed Sensing
Published:
Poster presentation on active learning for conditional generative compressed sensing.
teaching
Teaching experience 1
Undergraduate course, University 1, Department, 2014
This is a description of a teaching experience. You can use markdown like any other post.
Teaching experience 2
Workshop, University 1, Department, 2015
This is a description of a teaching experience. You can use markdown like any other post.