I am an Assistant Professor at the Econometric Institute of the Erasmus University Rotterdam. Prior to my current position I was a postdoc at Georgia Tech (12/2016 – 05/2018) and before that I was a postdoc at the Polytechnique Montreal and GERAD (09/2014 – 08/2016). I completed my PhD studies in the Optimization and Automated Reasoning program of PUC-Rio and defended my thesis in April 2014. I hold a bachelor's and master's degree in Computer Science.
I am interested in developing exact and heuristic methods for solving difficult combinatorial optimization problems that arise in application areas of Operations Research, such as logistics, transportation, scheduling and multi-objective optimization. Algorithm engineering, graphs, data-structures and Integer Programming play an important role in my research. Over the past few years, I devoted attention to the design of efficient branch-cut-and-price algorithms for variants of the Vehicle Routing Problem and to Multi-objective Mixed Integer Programming.
T. Perini, N. Boland, D. Pecin & M. Savelsbergh (2020). A criterion space method for biobjective mixed integer programming: the boxed line method. INFORMS Journal on Computing, 32 (1), 16-39. doi: 10.1287/ijoc.2019.0887
G. Desaulniers, D. Pecin & C. Contardo (2019). Selective pricing in branch-price-and-cut algorithms for vehicle routing. EURO Journal on transportation and logistics, 8 (2), 147-168. doi: 10.1007/s13676-017-0112-9
D. Pecin & E. Eduardo (2019). Comparative analysis of capacitated arc routing formulations and branch-cut-and-price algorithm. Transportation Science, 53 (6), 1501-1799. doi: 10.1287/trsc.2019.0900