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Robert Parker


Nonlinear optimization

Robert Parker

Office: TA-3, Bldg 1690, Room 119
Mail Stop: B258
Phone: (505) 000-0000
Fax: (505) 665-2659
home page

Research highlight
     Educational Background/Employment:
    • Ph.D. Chemical Engineering, Carnegie Mellon University (2022)
    • B.S. Chemical Engineering, UCLA (2017)

    Research Interests:

    • Algorithms for optimal scheduling and dispatch of electric power
    • Convergence reliability in nonlinear optimization algorithms
    • Software for streamlined development of infrastructure/chemical process optimization models

    Selected Recent Publications:

    1. R.B. Parker, B.L. Nicholson, J.D. Siirola, and L.T. Biegler. Applications of the Dulmage-Mendelsohn decomposition for debugging nonlinear optimization problems, Computers and Chemical Engineering 178 (2023).
    2. J.S. Rodriguez, R.B. Parker, C.D. Laird, B.L. Nicholson, J.D. Siirola, and M.L. Bynum. Scalable parallel nonlinear optimization with PyNumero and Parapint, INFORMS Journal on Computing (2023).
    3. R.B. Parker, B.L. Nicholson, J.D. Siirola, and L.T. Biegler. Model predictive control simulations with block-hierarchical differential-algebraic process models, Journal of Process Control 132 (2023).
    4. R.B Parker, B.L. Nicholson, J.D. Siirola, C.D. Laird, and L.T. Biegler. An implicit function formulation for optimization of discretized index-1 differential algebraic systems, Computers and Chemical Engineering 168 (2022).
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