Fabio Torres Vitor, PhD
- Assistant Professor
- DSC 239 / 402.554.3430
- Operations Research, Optimization Modeling, Mathematical Programming, Optimization Algorithms
Additional Information
Education
Ph.D., Industrial Engineering, Kansas State University, 2019
M.S., Operations Research, Kansas State University, 2015
B.S., Industrial Engineering, Maua Institute of Technology, 2013
Research Interests
Operations Research
Optimization Modeling
Mathematical Programming
Optimization Algorithms
Academic and Professional Experience
Fabio joined the department of Mathematics at the University of Nebraska at Omaha as an Assistant Professor in 2019. He received a Ph.D. in Industrial Engineering and a M.S. in Operations Research from Kansas State University, and a B.S. in Industrial Engineering from Maua Institute of Technology, Brazil. Fabio also has around 10 years of industry experience. He worked for companies such as Monsanto, Kalmar (Cargotec Corporation), and Volkswagen. He also participated in the Google Summer of Code program as a student developer.Fabio’s research includes both theoretical and applied topics in operations research. His theoretical research creates algorithms to more quickly solve continuous and discrete optimization problems such as linear, nonlinear, and integer programs. For instance, Fabio developed multidimensional search simplex and interior point methods for linear programs as well as cutting plane techniques and branching strategies for integer programs. Some of his applied research involves the application of optimization models and other operations research tools to reduce inventory costs, improve delivery routings, optimize nursery planting allocation, improve airport operations, and create strategies to overcome human trafficking.
Fabio is a recipient of the Nebraska EPSCoR FIRST Award, which is supported by the National Science Foundation to advance the research of early-career tenure-track faculty. During his Doctoral studies, Fabio received the K-State 2025 College of Engineering Fellowship for two consecutive years. He also received several awards during the time he worked for Volkswagen, including the second place in the Best Apprentice Award. Fabio is a member of the Institute for Operations Research and the Management Sciences (INFORMS), the Institute of Industrial and Systems Engineering (IISE), the Society for Industrial and Applied Mathematics (SIAM), and the Mathematical Optimization Society (MOS).Selected Publications
Yang Y., and Vitor F., A Double-Pivot Degenerate-Robust Simplex Algorithm for Linear Programming, International Journal of Operational Research, (in press).
Almaghrebi A., Vitor F., James K., Al Juheshi F., and Alahmad M., A Framework for Scheduling Household Charging of Electrical Vehicles, Proceedings of the 2022 IEEE Transportation Electrification Conference & Expo (ITEC), 540-545 (2022).
Bailey J. P., Easton T., and Vitor F., Octanary Polyhedral Branch and Bound for Integer Programs, International Journal of Operational Research, 43(4), 451-478 (2022).
Vitor F., and Easton T., Projected Orthogonal Vectors in Two-Dimensional Search Interior Point Algorithms for Linear Programming, Computational Optimization and Applications, 83(1), 211-246 (2022).
Meier S., and Vitor F., Developing a Discrete Event Simulation Model to Overcome Human Trafficking, Proceedings of the 2021 IISE Annual Conference, 7-12 (2021).
Kabirikopaei A., and Vitor F., Speech Recognition in Background Noise by a Convolution Neural Networks Model, Proceedings of the 2021 IISE Annual Conference, 794-799 (2021).
Vitor F., and Easton T., Approximate and Exact Merging of Knapsack Constraints with Cover Inequalities, Optimization, 70(2), 437-460 (2021).
Vitor F., and Easton T., The Double Pivot Simplex Method, Mathematical Methods of Operations Research, 87(1), 109-137 (2018).
Vitor F., The Ratio Algorithm to Solve the Optimal Basis of Two Constraint Linear Programs, Proceedings of the 2018 IISE Annual Conference, 1949-1954 (2018).
Vitor F., and Easton T., A Two Dimensional Search Primal Affine Scaling Interior Point Algorithm for Linear Programs, Proceedings of the 2018 IISE Annual Conference, 1961-1966 (2018).
Vitor F., Antunes V. A., and Chwif L., Warnings about Simulation Revisited: Improving Operations in Congonhas Airport, Proceedings of the 2016 Winter Simulation Conference, 2418-2429 (2016).
Vitor F., and Easton T., Merged Knapsack Cover Inequalities for the Multiple Knapsack Problem, Proceedings of the 2016 Industrial and Systems Engineering Research Conference, 607-612 (2016).
Additional Information
Education
Ph.D., Industrial Engineering, Kansas State University, 2019
M.S., Operations Research, Kansas State University, 2015
B.S., Industrial Engineering, Maua Institute of Technology, 2013
Research Interests
Operations Research
Optimization Modeling
Mathematical Programming
Optimization Algorithms
Academic and Professional Experience
Fabio joined the department of Mathematics at the University of Nebraska at Omaha as an Assistant Professor in 2019. He received a Ph.D. in Industrial Engineering and a M.S. in Operations Research from Kansas State University, and a B.S. in Industrial Engineering from Maua Institute of Technology, Brazil. Fabio also has around 10 years of industry experience. He worked for companies such as Monsanto, Kalmar (Cargotec Corporation), and Volkswagen. He also participated in the Google Summer of Code program as a student developer.Fabio’s research includes both theoretical and applied topics in operations research. His theoretical research creates algorithms to more quickly solve continuous and discrete optimization problems such as linear, nonlinear, and integer programs. For instance, Fabio developed multidimensional search simplex and interior point methods for linear programs as well as cutting plane techniques and branching strategies for integer programs. Some of his applied research involves the application of optimization models and other operations research tools to reduce inventory costs, improve delivery routings, optimize nursery planting allocation, improve airport operations, and create strategies to overcome human trafficking.
Fabio is a recipient of the Nebraska EPSCoR FIRST Award, which is supported by the National Science Foundation to advance the research of early-career tenure-track faculty. During his Doctoral studies, Fabio received the K-State 2025 College of Engineering Fellowship for two consecutive years. He also received several awards during the time he worked for Volkswagen, including the second place in the Best Apprentice Award. Fabio is a member of the Institute for Operations Research and the Management Sciences (INFORMS), the Institute of Industrial and Systems Engineering (IISE), the Society for Industrial and Applied Mathematics (SIAM), and the Mathematical Optimization Society (MOS).Selected Publications
Yang Y., and Vitor F., A Double-Pivot Degenerate-Robust Simplex Algorithm for Linear Programming, International Journal of Operational Research, (in press).
Almaghrebi A., Vitor F., James K., Al Juheshi F., and Alahmad M., A Framework for Scheduling Household Charging of Electrical Vehicles, Proceedings of the 2022 IEEE Transportation Electrification Conference & Expo (ITEC), 540-545 (2022).
Bailey J. P., Easton T., and Vitor F., Octanary Polyhedral Branch and Bound for Integer Programs, International Journal of Operational Research, 43(4), 451-478 (2022).
Vitor F., and Easton T., Projected Orthogonal Vectors in Two-Dimensional Search Interior Point Algorithms for Linear Programming, Computational Optimization and Applications, 83(1), 211-246 (2022).
Meier S., and Vitor F., Developing a Discrete Event Simulation Model to Overcome Human Trafficking, Proceedings of the 2021 IISE Annual Conference, 7-12 (2021).
Kabirikopaei A., and Vitor F., Speech Recognition in Background Noise by a Convolution Neural Networks Model, Proceedings of the 2021 IISE Annual Conference, 794-799 (2021).
Vitor F., and Easton T., Approximate and Exact Merging of Knapsack Constraints with Cover Inequalities, Optimization, 70(2), 437-460 (2021).
Vitor F., and Easton T., The Double Pivot Simplex Method, Mathematical Methods of Operations Research, 87(1), 109-137 (2018).
Vitor F., The Ratio Algorithm to Solve the Optimal Basis of Two Constraint Linear Programs, Proceedings of the 2018 IISE Annual Conference, 1949-1954 (2018).
Vitor F., and Easton T., A Two Dimensional Search Primal Affine Scaling Interior Point Algorithm for Linear Programs, Proceedings of the 2018 IISE Annual Conference, 1961-1966 (2018).
Vitor F., Antunes V. A., and Chwif L., Warnings about Simulation Revisited: Improving Operations in Congonhas Airport, Proceedings of the 2016 Winter Simulation Conference, 2418-2429 (2016).
Vitor F., and Easton T., Merged Knapsack Cover Inequalities for the Multiple Knapsack Problem, Proceedings of the 2016 Industrial and Systems Engineering Research Conference, 607-612 (2016).