Adolfo Escobedo

Appeared (or soon to Appear) in Refereed Journals:

17. S. Akbari, A. R. Escobedo, "Beyond Kemeny aggregation: theoretical and computational insights for robust ranking aggregation", to appear in Omega, 2023.

16. A. R. Escobedo, “Exact Matrix Factorization update algorithms for nonlinear programming”, to appear in INFORMS Journal on Computing, 2023.

15. S. Akbari, A. R. Escobedo, “Approximate Condorcet partitioning: Solving very large rank aggregation problems at scale”, to appear in Computers & Operations Research, 2023.

14. Z. Kassem, A. R. Escobedo, "Models and network insights for edge-based districting with simultaneous location-allocation decisions'', IISE Transactions, 2022.

13. R. Yasmin, M. M. Hassan, J. Grassel, H. Bhogaraju, A. R. Escobedo, O. Fuentes, "Improving crowdsourcing-based image classification through expanded input elicitation and machine learning", Frontiers in Artificial Intelligence, 5(1) 2022, 848056.

12. J. K. Skolfield, L. M. Escobar, A. R. Escobedo, "Derivation and generation of path-based valid inequalities for transmission expansion planning", Annals of Operations Research, 312(1) 2022, 1031-1049.

11. A. R. Escobedo, E. Moreno-Centeno, R. Yasmin, “An axiomatic distance methodology for aggregating multimodal evaluations”, Information Sciences, 590(1) 2022, 322-345.

10. J. K. Skolfield, A. R. Escobedo, "Operations research in optimal power flow: a guide to recent and emerging methodologies and applications", European Journal of Operational Research, 300(2) 2022, 387-404.

9. Y. Yoo, A. R. Escobedo, "A new binary programming formulation and social choice property for Kemeny rank aggregation", Decision Analysis, 18(4) 2021, 296-320.

8. Y. Zhang, M. Bansal, A. R. Escobedo, "Risk-neutral and risk-averse transmission switching for load shed recovery with uncertain renewable generation and demand", IET Generation, Transmission & Distribution, 14(21) 2020, 4936-4945.

7. Y. Yoo, A. R. Escobedo, J. K. Skolfield, "A new correlation coefficient for comparing and aggregating non-strict and incomplete rankings," European Journal of Operational Research, 285(3) 2020, 1025-1041.

6. C. Lourenco, A. R. Escobedo, E. Moreno-Centeno, T. A. Davis, "Exact solution of sparse linear systems via left-looking roundoff-error-free LU factorization in time proportional to arithmetic work", SIAM Journal on Matrix Analysis and Applications, 40(2) 2019, 609-638.

5. A. R. Escobedo, E. Moreno-Centeno, "Solution of dense linear systems via roundoff-error-free factorization algorithms: theoretical connections and computational comparisons", ACM Transactions on Mathematical Software (TOMS), 44(4) 2018, 40:1-40:24.

4. A. R. Escobedo, E. Moreno-Centeno, "Roundoff-error-free basis updates of LU factorizations for the efficient validation of optimality certificates", SIAM Journal on Matrix Analysis and Applications, 38(3) 2017, 807-828.

3. E. Moreno-Centeno, A. R. Escobedo "Axiomatic aggregation of incomplete rankings," IIE Transactions, 48(6) 2016, 475-488.

2. A. R. Escobedo, E. Moreno-Centeno, "Roundoff-error-free algorithms for solving linear systems via Cholesky and LU factorizations," INFORMS Journal on Computing, 27(4) 2015, 677-689. (INFORMS Junior Faculty Paper Competition Honorable Mention, top-6 nalist)

1. A. R. Escobedo, E. Moreno-Centeno, K. W. Hedman, "Topology control for load-shed recovery," IEEE Transactions on Power Systems, 29(2) 2014, 908-916.

Appeared (or soon to Appear) in Conference Proceedings:

8. S. Akbari, A. R. Escobedo, "Top-k list aggregation: Mathematical formulations and polyhedral comparisons", to appear in Procs of the International Symposium on Combinatorial Optimization (ISCO), Lecture Notes in Computer Science, 2022.

7. S. Akbari, A. R. Escobedo, "Lower bounds on Kemeny rank aggregation with non-strict rankings'', IEEE Symposium Series on Computational Intelligence (SSCI), 2021, 1-8.

 6. R. Yasmin, J. Grassel, H. Mahmudulla, O. Fuentes, A. R. Escobedo, "Enhancing image classification  capabilities of crowdsourcing-based methods through expanded input elicitation'', in Procs. of the AAAI Conference on Human Computation and Crowdsourcing (HCOMP), 9(1) 2021, 168-178.

5. Z. Kassem, V. S. Gudivada, A. R. Escobedo, "A decision support tool for calculating waste collection needs'', in Procs. of the Institute of Industrial and Systems Engineers (IISE) Annual Conference, 2021, 944-949.

4. J. K. Skolfield, A. R. Escobedo, J. Ramirez-Vergara, "Transmission and capacity expansion planning against rising temperatures: A case study in Arizona", to appear in Procs. of the Institute of Industrial and Systems Engineers (IISE) Annual Conference, 2021, 872-877. (IISE Energy Systems Division Best Student Paper Award Winner)

3. R. Kemmer, Y. Yoo, A. R. Escobedo, and R. Maciejewski, "Enhancing collective estimates by aggregating cardinal and ordinal inputs", Procs. of the AAAI Conference on Human Computation and Crowdsourcing (HCOMP), 8(1), 2020, 73-82.

2. J. K. Skolfield, R. Yasmin, A. R. Escobedo, L. M. Huie, "A comparison of axiomatic distance-based collective intelligence methods for wireless sensor network state estimation with false data injection", to appear in Proceedings of the IEEE World Forum on Internet of Things (WF-IOT), 2020.

1. L. M. Escobar, A. R. Escobedo, David Escobar, R. A. Romero Lazaro, "Bus-angle difference structural cuts for transmission system expansion planning with L-1 reliability", to appear in Procs. of IEEE Electrical Power and Energy Conference, 2018.

Submitted/Under-Review in Refereed Journals:

2. J. K. Skolfield, A. Alnakhli, A. Alawad, A. R. Escobedo, and P. Dehghanian, “Data-driven robust transmission expansion planning against rising temperatures” (second round) 2023.

1. A. R. Escobedo and R. Yasmin, "Derivations of large classes of facet defining inequalities of the weak order polytope using ranking structures", (third round) 2021. https://arxiv.org/abs/2008.03799.