Carnegie Mellon University

David Neira

David E. Bernal Neira

Adjunct Professor of Operations Management and Quantum Computing

Address
5000 Forbes Avenue
Pittsburgh, PA 15213

Education

  • Carnegie Mellon University - Ph D (Chemical Engineering) - 2021
  • Universidad de los Andes - BS (Physics) - 2018
  • Universidad de los Andes - MS (Chemical Engineering) - 2016
  • Universidad de los Andes - BS (Chemical Engineering with Honors - Cum Laude) - 2014

Research

  • Special interest in optimization applications in Chemical Engineering and Process Systems Engineering such as Process Intensification and Energy Systems Optimal Process Synthesis, Design, Operation, and Control.
  • Quantum Algorithms for Combinatorial Optimization, with emphasis in Chemical Engineering applications.
  • Development and evaluation of novel hardware algorithms for optimization and chemistry.
  • Theory and applications of Decision-making Optimization, Machine Learning, and Artificial Intelligence.
  • Discrete-Continuous Nonlinear Optimization Solution Algorithms, Theory, and Software.

Publications

  • Mind the Õ: Asymptotically Better, but Still Impractical, Quantum Distributed Algorithms

    (author(s): P. Kerger, D. E. Bernal, Z. Gonzalez Izquierdo, E. G. Rieffel)
    Algorithms 16(7), 2023; issn: 1999-4893
    https://doi.org/10.3390/a16070332

  • Modeling for Integrated Refinery Planning with Crude-oil Scheduling

    (author(s): L. Su, D. E. Bernal, I. E. Grossmann, L. Tang)
    Chemical Engineering Research and Design 192, 2023; 141–157
    https://doi.org/10.1016/j.cherd.2023.02.008

  • Coherent Simulation with Thousands of Qubits

    (author(s): D. E. Bernal)
    Nature Physics, 2022
    https://doi.org/10.1038/s41567-022-01772-z

  • Perspectives of Quantum Computing for Chemical Engineering

    (author(s): D. E. Bernal, A. Ajagekar, S. M. Harwood, S. T. Stober, D. Trenev, F. You)
    AIChE Journal, 2022; e17651
    https://doi.org/10.1002/aic.17651

  • Alternative Regularizations for Outer-Approximation Algorithms for Convex MINLP

    (author(s): D. E. Bernal, Z. Peng, J. Kronqvist, I. E. Grossmann)
    Journal of Global Optimization, 2022; 1–36

  • Characterization of QUBO Reformulations for the Maximum k-colorable Subgraph Problem

    (author(s): R. Quintero, D. E. Bernal, T. Terlaky, L. F. Zuluaga)
    Quantum Information Processing 21(3), 2022; 1–36
    https://doi.org/10.1007/s11128-022-03421-z

  • Pyomo. GDP: An Ecosystem for Logic Based Modeling and Optimization Development

    (author(s): Q. Chen, E. S. Johnson, D. E. Bernal, R. Valentin, S. Kale, J. Bates, J. D. Siirola, I. E. Grossmann)
    Optimization and Engineering, 2021; 1–36
    https://doi.org/10.1007/s11081-021-09601-7

  • Formulating and Solving Routing Problems on Quantum Computers

    (author(s): S. Harwood, C. Gambella, D. Trenev, A. Simonetto, D. E. Bernal, D. Greenberg)
    IEEE Transactions on Quantum Engineering, 2021;
    https://doi.org/10.1109/TQE.2021.3049230

  • Optimal Synthesis and Design of Catalytic Distillation Columns: A Rate-based Modeling Approach

    (author(s): D. A. Liñán, D. E. Bernal, J. M. Gómez, L. A. Ricardez-Sandoval)
    Chemical Engineering Science 231, 2021; 116294
    https://doi.org/10.1016/j.ces.2020.116294

  • Hybrid Model Generation for Superstructure Optimization with Generalized Disjunctive Programming

    (author(s): H. A. Pedrozo, S. R. Reartes, D. E. Bernal, A. Vecchietti, M. S. Dı́az, I. E. Grossmann)
    Computers & Chemical Engineering 154, 2021; 107473
    https://doi.org/10.1016/j.compchemeng.2021.107473

  • Improving the Performance of DICOPT in Convex MINLP Problems Using a Feasibility Pump

    (author(s): D. E. Bernal, S. Vigerske, F. Trespalacios, I. E. Grossmann)
    Optimization Methods and Software 35(1), 2020; 171–190
    https://doi.org/10.1080/10556788.2019.1641498

  • Large-scale Selective Maintenance Optimization Using Bathtub-shaped Failure Rates

    (author(s): T. J. Ikonen, H. Mostafaei, Y. Ye, D. E. Bernal, I. E. Grossmann, I. Harjunkoski)
    Computers & Chemical Engineering 139, 2020; 106876
    https://doi.org/10.1016/j.compchemeng.2020.106876

  • Using Regularization and Second Order Information in Outer Approximation for Convex MINLP

    (author(s): J. Kronqvist, D. E. Bernal, I. E. Grossmann)
    Mathematical Programming 180(1), 2020; 285–310
    https://doi.org/10.1007/s10107-018-1356-3

  • Sample Average Approximation for Stochastic Nonconvex Mixed Integer Nonlinear Programming via Outer-approximation

    (author(s): C. Li, D. E. Bernal, K. C. Furman, M. A. Duran, I. E. Grossmann)
    Optimization and Engineering, 2020; 1–29
    https://doi.org/10.1007/s11081-020-09563-2

  • Optimal Design of Superstructures for Placing Units and Streams with Multiple and Ordered Available Locations. Part I: A New Mathematical Framework

    (author(s): D. A. Liñán, D. E. Bernal, L. A. Ricardez-Sandoval, J. M. Gómez)
    Computers & Chemical Engineering, 2020; 106794
    https://doi.org/10.1016/j.compchemeng.2020.106794

  • Optimal Design of Superstructures for Placing Units and Streams with Multiple and Ordered Available Locations. Part II: Rigorous Design of Catalytic Distillation Columns

    (author(s): D. A. Liñán, D. E. Bernal, L. A. Ricardez-Sandoval, J. M. Gómez)
    Computers & Chemical Engineering, 2020; 106845
    https://doi.org/10.1016/j.compchemeng.2020.106845

  • Integration of Crude-Oil Scheduling and Refinery Planning by Lagrangean Decomposition

    (author(s): H. Yang, D. E. Bernal, R. E. Franzoi, F. G. Engineer, K. Kwon, S. Lee, I. E. Grossmann)
    Computers & Chemical Engineering, 2020; 106812
    https://doi.org/10.1016/j.compchemeng.2020.106812

  • A Review and Comparison of Solvers for Convex MINLP

    (author(s): J. Kronqvist, D. E. Bernal, A. Lundell, I. E. Grossmann)
    Optimization and Engineering 20(2), 2019; 397–455
    https://doi.org/10.1007/s11081-018-9411-8

  • A Center-cut Algorithm for Quickly Obtaining Feasible Solutions and Solving Convex MINLP Problems

    (author(s): J. Kronqvist, D. E. Bernal, A. Lundell, T. Westerlund)
    Computers & Chemical Engineering 122, 2019; 105–113
    https://doi.org/10.1016/j.compchemeng.2018.06.019

  • Global Optimization Algorithm for Multi-period Design and Planning of Centralized and Distributed Manufacturing Networks

    (author(s): C. L. Lara, D. E. Bernal, C. Li, I. E. Grossmann)
    Computers & Chemical Engineering 127, 2019; 295–310
    https://doi.org/10.1016/j.compchemeng.2019.05.022

  • Simultaneous Design and Control of Catalytic Distillation Columns Using Comprehensive Rigorous Dynamic Models

    (author(s): D. E. Bernal, C. Carrillo-Diaz, J. M. Gómez, L. A. Ricardez-Sandoval)
    Industrial & Engineering Chemistry Research 57(7), 2018; 2587–2608
    https://doi.org/10.1021/acs.iecr.7b04205

  • Improved Quadratic Cuts for Convex Mixed-integer Nonlinear Programs

    (author(s): L. Su, L. Tang, D. E. Bernal, I. E. Grossmann)
    Computers & Chemical Engineering 109, 2018; 77–95
    https://doi.org/10.1016/j.compchemeng.2017.10.011

  • (Almost) Dark Galaxies in the ALFALFA Survey: Isolated H i-bearing Ultra-diffuse Galaxies

    (author(s): L. Leisman, M. P. Haynes, S. Janowiecki, G. Hallenbeck, G. Józsa, R. Giovanelli, E. A. Adams, D. E. Bernal, J. M. Cannon, W. F. Janesh, et al.)
    The Astrophysical Journal 842(2), 2017; 133
    https://doi.org/10.3847/1538-4357/aa7575

Awards and Honors

  • Best talk award at Quantum Computing Applications in Chemical and Biochemical Engineering Workshop - American Institute of Chemical Engineers and Technical University of Denmark (2022)
  • Computing & Systems Technology Division (CAST) - American Institute of Chemical Engineers - Finalist for AIChE CAST Directors’ Student Presentation Awards (2020)
  • Mark Dennis Karl Outstanding Teaching Assistant Award - Carnegie Mellon University - Chemical Engineering Department (2019)
  • Universidad de los Andes - Cum Laude in Chemical Engineering (2014)