Bernard Knueven is a part of the Complex Systems Simulation & Optimization group within the Computational Science Center. His background is in the theoretical and computational aspects of integer programming as applied to power systems problems. He has passion for stochastic optimization and other operations research methods as applied to renewables integration and expansion.

Research Interests

Mixed integer programming

Stochastic programming

Parallel algorithms

Electricity markets

Education

Ph.D., Industrial Engineering, University of Tennessee​

M.S., Industrial Engineering, University of Tennessee​

M.S., Mathematics, Miami University​

B.S., Mathematics, Northern Kentucky University​

B.A., Music, Northern Kentucky University

Professional Experience

Senior Member of Technical Staff, Sandia National Laboratories (2018-2020)

Featured Work

On Mixed Integer Programming Formulations for the Unit Commitment Problem, INFORMS Journal on Computing (2020) 

Detecting Almost Symmetries of Graphs, Mathematical Programming Computation (2018)

Exploiting Identical Generators in Unit Commitment, IEEE Transactions on Power Systems (2018)

The Ramping Polytope and Cut Generation for the Unit Commitment Problem, INFORMS Journal on Computing (2018)