Carl H. Lindner College of BusinessCarl H. Lindner College of BusinessUniversity of Cincinnati

Carl H. Lindner College of Business

Leonardo Lozano, PhD

Assistant Professor
Professional Summary
Leonardo Lozano
I am an assistant professor in the Operations, Business Analytics, and Information Systems Department at University of Cincinnati. I received my B.Sc. degree from Universidad de los Andes, my M.Sc. degree from University of Florida, and my Ph.D. degree from Clemson University. My research has been published in Operations Research, INFORMS Journal on Computing, Transportation Science, and the European Journal of Operational Research, among others.
Contact Information
E-mail:
Office:
531 Carl H. Lindner Hall
Phone:
513-556-7853
Fax:
513-556-5499
Teaching Interest
  • Optimization, Business analytics
Research Interest
  • My research focuses on theory, methodology, and algorithms in combinatorial optimization, multilevel programming, and network flows. I am interested in application areas such as vehicle routing, scheduling, homeland security, survivable network design, and pricing in competitive markets.
Awards | Honors

Organization:
Computing Society of INFORMS
Name:
Runner-up in the 2015 Student Paper Competition
Year Received:
2015


Education

Institution:
Clemson University
Location:
Clemson
Major:
Industrial Engineering
Dissertation:
Exact Algorithms for Mixed-Integer Multilevel Programming Problems
Completed:
2017
Degree:
Ph D


Institution:
University of Florida
Location:
Gainesville, FL
Major:
Industrial Engineering
Completed:
2014
Degree:
MS


Institution:
Universidad de los Andes
Location:
Bogota, Colombia
Major:
Industrial Engineering
Completed:
2011
Degree:
MS


Institution:
Universidad de los Andes
Location:
Bogota, Colombia
Major:
Industrial Engineering
Completed:
2009
Degree:
BS


Published Contributions

Leonardo Lozano, J Smith,  (2017). A Value-Function-Based Exact Approach for the Bilevel Mixed-Integer Programming Problem. Operations Research, 768–786.


Leonardo Lozano, J Smith, Mary Kurz,  (2017). Solving the traveling salesman problem with interdiction and fortification. Operations Research Letters, 210–216.


Leonardo Lozano, J Smith,  (2016). A backward sampling framework for interdiction problems with fortification. INFORMS Journal on Computing, 123–139.


Leonardo Lozano, Daniel Duque, Andrés Medaglia,  (2015). An exact algorithm for the elementary shortest path problem with resource constraints. Transportation Science, 348–357.


Daniel Duque, Leonardo Lozano, Andrés Medaglia,  (2015). An exact method for the biobjective shortest path problem for large-scale road networks. European Journal of Operational Research, 788–797.


Daniel Duque, Leonardo Lozano, Andrés Medaglia,  (2015). Solving the orienteering problem with time windows via the pulse framework. Computers & Operations Research, 168–176.


Manuel Bolívar, Leonardo Lozano, Andrés Medaglia,  (2014). Acceleration strategies for the weight constrained shortest path problem with replenishment. Optimization Letters, 2155–2172.


Leonardo Lozano, Andrés Medaglia,  (2013). On an exact method for the constrained shortest path problem. Computers & Operations Research, 378–384.


María Restrepo, Leonardo Lozano, Andrés Medaglia,  (2012). Constrained network-based column generation for the multi-activity shift scheduling problem. International Journal of Production Economics, 466–472.


Leonardo Lozano, JE González, AL Medaglia,  (2011). A network-oriented formulation and decomposition approach to solve the 2011 RAS problem. , .


Leonardo Lozano, Andrés Medaglia, Nubia Velasco,  (2009). Generation of Pop-Rock chord sequences using genetic algorithms and variable neighborhood search. , 573–578.



Accepted Contributions