An adaptive proximal ADMM for nonconvex linearly constrained composite programs
Mathematical Programming, Series A, 2026
with Leandro Farias Maia, Renato D. C. Monteiro, and Gilson N. Silva
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Publications
Journal Publications
Assessing Risk in Long-Term CO2 Storage Under Uncertainty via Survival Analysis-Based Surrogates
SPE Journal, 2025
with Allan Gurwicz (Texas A&M University), Jungang Chen (The University of Texas at Austin), and Eduardo Gildin (Texas A&M University)
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The randomized block coordinate descent method in the Hölder smooth setting
Optimization Letters, 2025
with Leandro Farias Maia (Texas A&M University)
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Quantum-Enhanced Generalized Pattern Search Optimization
Quantum Reports, 2024
with Colton Mikes (Texas Tech University) and Victoria E. Howle (Texas Tech University)
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The Inexact Cyclic Block Proximal Gradient Method and Properties of Inexact Proximal Maps
Journal of Optimization Theory and Applications, 2024
with Leandro Farias Maia (Texas A&M University) and Ryan Christopher Hughes (U.S. Patent and Trademark Office; Addx Corporation)
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Perturbed Fenchel duality and first-order methods
Mathematical Programming, Series A, 2023
with Javier Peña (Carnegie Mellon University, Tepper School of Business)
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Coordinate Descent Without Coordinates: Tangent Subspace Descent on Riemannian Manifolds
Mathematics of Operations Research, 2023
2022 INFORMS Optimization Society Young Researcher Prize Winner with Nam Ho-Nguyen (University of Sydney, Discipline of Business Analytics)
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Cyclic coordinate descent in the Hölder smooth setting
Operations Research Letters, 2022
With Nam Ho-Nguyen (University of Sydney, Discipline of Business Analytics)
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The condition number of a function relative to a set
Mathematical Programming, Series A, 2021
with Javier Peña (Carnegie Mellon University, Tepper School of Business)
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Enhanced basic procedures for the projection and rescaling algorithm
Optimization Letters, 2019
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Convergence Rates of Proximal Gradient Methods via the Convex Conjugate
SIAM Journal on Optimization, 2019
with Javier Peña (Carnegie Mellon University, Tepper School of Business)
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Conference Publications
Survival Analysis-Powered AI in Risk-Aware Data-Driven Multi-Objective Optimization for Geological CO2 Storage
SPE Latin American and Caribbean Petroleum Engineering Conference (LACPEC), 2026
with Allan Gurwicz, Ana Carolina Alves Abreu, Eduardo Gildin, and Marco Aurélio Cavalcanti Pacheco
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Advancing Surrogate Modeling for CO2 Storage Risk Through Cutting-Edge Survival Analysis-Driven AI
International Petroleum Technology Conference (IPTC) Summit on AI for the Energy Industry, 2026
with Allan Gurwicz and Eduardo Gildin (Texas A&M University)
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Assessing Risk in Long-Term CO2 Storage Under Uncertainty via Survival Analysis-Based Surrogates
SPE Annual Technical Conference and Exhibition, 2024
with Allan Gurwicz, Jungang Chen, and Eduardo Gildin
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