• Associate Professor, Industrial & Systems Engineering
  • Mike & Sugar Barnes Faculty Fellow
  • Phone: 979-458-2335
  • FAX: 979-458-4299
  • Email: emc@tamu.edu
  • Office: ETB 4034
Google Scholar Profile
Erick Moreno-Centeno

Educational Background

  • Ph.D., Industrial Engineering & Operations Research, University of California, Berkeley - 2010

Research Interests

  • Dr. Erick Moreno-Centeno’s research interests are on the theory and applications of discrete optimization with an emphasis on network optimization. Specifically, his focus is to design and analyze optimization models and algorithms that are computationally viable for real-world applications. He achieves this by combining effective modeling with efficient computational techniques. His current research projects include designing a round-off-error-free and fast-in-practice linear programming algorithm and solving problems in energy (topology control), decision theory (voting) and machine learning.

Awards & Honors

  • INFORMS Computing Society Prize (2021)
  • Eppright University Professorship in Undergraduate Teaching Excellence (2020)
  • INFORMS Volunteer Service Award - Meritorious Level (2017)
  • Dr. Hamed K. Eldin Outstanding Early Career Industrial Engineer in Academia Award (2016)
  • Annual IISE's OR Division Award for Excellence in the Teaching of Operations Research (2014)

Selected Publications

  • Mejia-Domenzain L., J. Chen, C. Lourenco, E. Moreno-Centeno, T. A. Davis, “Algorithm 1050: SPEX Cholesky, LDL, and Backslash for Exactly Solving Sparse Linear Systems”, ACM Transactions on Mathematical Software, 50(4), 2024, 1–29.
  • Lourenco C., E. Moreno-Centeno, “Exact QR Factorizations of Rectangular Matrices”, Optimization Letters, 18(1), 2024, 681–695.
  • Lourenco C., J. Chen, E. Moreno-Centeno, T. Davis, “Algorithm 1021: SPEX Left LU, Exactly Solving Sparse Linear Systems via a Sparse Left-Looking Integer-Preserving LU Factorization”, ACM Transactions on Mathematical Software, 48(2), 2022, 1–23.
  • Escobedo A. R., E. Moreno-Centeno, R. Yasmin, “An Axiomatic Distance Methodology for Aggregating Multimodal Evaluations”, Information Sciences, 590(1), 2022, 322–345.
  • Lourenco C., E. Moreno-Centeno, “Exactly Solving Sparse Rational Linear Systems via Roundoff- Error-Free Cholesky Factorizations”, SIAM Journal on Matrix Analysis and Applications, 43(1), 2022, 439–463.
  • Brown W. E., E. Moreno-Centeno, “Transmission-Line Switching for Load Shed Prevention via an Accelerated Linear Programming Approximation of AC Power Flows”, IEEE Transactions on Power Systems, 25(4) 2020, 2575–2585.
  • Escobedo A. R., E. Moreno-Centeno, “Roundoff-error-free algorithms for solving linear systems via Cholesky and LU factorizations”, INFORMS Journal of Computing, 27(4), 2015, 677–689
  • Moreno-Centeno E., R. M. Karp, “The implicit hitting set approach to solve combinatorial optimization problems with an application to multi-genome alignment”, Operations Research, 61(2) 2013, 453–468
  • Bansal M., K. Kianfar, Y. Ding, E. Moreno-Centeno, “Hybridization of Bound-and-Decompose and mixed integer feasibility checking to measure redundancy in structured linear systems”, IEEE Transactions on Automation Science and Engineering, 10(4) 2013, 1151–1157
  • Hochbaum D. S., E. Moreno-Centeno, P. Yelland, R. A. Catena, “Rating customers according to their promptness to adopt new products”, Operations Research, 59(5) 2011, 1171–1183
Google Scholar Profile