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Subject to: Artur Pessoa (100th Episode Special)

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Manage episode 450141956 series 3000652
Content provided by Anand Subramanian. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Anand Subramanian or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://podcastplayer.com/legal.

Artur Pessoa is an Associate Professor at Universidade Federal Fluminense, Brazil. He holds a bachelor's degree in Computer Engineering from PUC-Rio and master’s and doctoral degrees in Informatics from the same institution. His research interests focus on developing insightful approaches to solving optimization problems in general. Artur has contributed to designing solution methods based on integer programming, column generation, dynamic programming, branch-and-bound, and related techniques to tackle combinatorial, bilevel, robust, and other optimization problems. He is one of the key figures behind several state-of-the-art exact algorithms for vehicle routing, scheduling, and generalized quadratic assignment problems. He has published papers in prestigious journals like Mathematical Programming, Operations Research, Theoretical Computer Science, SIAM Journal on Computing, Mathematical Programming Computation, INFORMS Journal on Computing, Transportation Science, European Journal of Operational Research, among others. Artur was honored with the best doctoral dissertation award from the Brazilian Computer Society and has twice won the best paper award at the Brazilian OR Symposium. In addition, he received the 2017 Best Paper Prize from the journal Mathematical Programming Computation, and the 2022 Transportation Science Meritorious Service Award from INFORMS. Artur is one of the developers of the VRPSolver package and the Coluna branch-cut-and-price framework. He is also a co-author of the recent book “Optimizing with Column Generation”, written in collaboration with Eduardo Uchoa and Lorenza Moreno.

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113 episodes

Artwork
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Manage episode 450141956 series 3000652
Content provided by Anand Subramanian. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Anand Subramanian or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://podcastplayer.com/legal.

Artur Pessoa is an Associate Professor at Universidade Federal Fluminense, Brazil. He holds a bachelor's degree in Computer Engineering from PUC-Rio and master’s and doctoral degrees in Informatics from the same institution. His research interests focus on developing insightful approaches to solving optimization problems in general. Artur has contributed to designing solution methods based on integer programming, column generation, dynamic programming, branch-and-bound, and related techniques to tackle combinatorial, bilevel, robust, and other optimization problems. He is one of the key figures behind several state-of-the-art exact algorithms for vehicle routing, scheduling, and generalized quadratic assignment problems. He has published papers in prestigious journals like Mathematical Programming, Operations Research, Theoretical Computer Science, SIAM Journal on Computing, Mathematical Programming Computation, INFORMS Journal on Computing, Transportation Science, European Journal of Operational Research, among others. Artur was honored with the best doctoral dissertation award from the Brazilian Computer Society and has twice won the best paper award at the Brazilian OR Symposium. In addition, he received the 2017 Best Paper Prize from the journal Mathematical Programming Computation, and the 2022 Transportation Science Meritorious Service Award from INFORMS. Artur is one of the developers of the VRPSolver package and the Coluna branch-cut-and-price framework. He is also a co-author of the recent book “Optimizing with Column Generation”, written in collaboration with Eduardo Uchoa and Lorenza Moreno.

  continue reading

113 episodes

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