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Subject to: Martin Savelsbergh

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Manage episode 354288882 series 3000652
内容由Anand Subramanian提供。所有播客内容(包括剧集、图形和播客描述)均由 Anand Subramanian 或其播客平台合作伙伴直接上传和提供。如果您认为有人在未经您许可的情况下使用您的受版权保护的作品,您可以按照此处概述的流程进行操作https://zh.player.fm/legal

Martin Savelsbergh is a logistics and optimization specialist with over 30 years of experience in mathematical modeling, operations research, optimization methods, algorithm design, performance analysis, transport, supply chain management, and production planning. He has published over 200 research papers in many of the top operations research and optimization journals and has supervised more than 30 Ph.D. students. Martin has a track record of creating innovative techniques for solving large-scale optimization problems in a variety of areas, ranging from service network design, to last-mile and crowdsourced delivery, to ridesharing. He has demonstrated an ability to design and implement highly sophisticated and effective optimization algorithms as well as an ability to analyze practical decision problems and translate the insights obtained into optimal business solutions. Martin is an INFORMS fellow and he was the James C. Edenfield Chair in the H. Milton Stewart School of Industrial and Systems Engineering (ISyE) at Georgia Institute of Technology until he retired in 2021. Martin is past Editor-in-Chief of Transportation Science, one of the most prestigious academic journals in the area of transportation science and logistics.

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Manage episode 354288882 series 3000652
内容由Anand Subramanian提供。所有播客内容(包括剧集、图形和播客描述)均由 Anand Subramanian 或其播客平台合作伙伴直接上传和提供。如果您认为有人在未经您许可的情况下使用您的受版权保护的作品,您可以按照此处概述的流程进行操作https://zh.player.fm/legal

Martin Savelsbergh is a logistics and optimization specialist with over 30 years of experience in mathematical modeling, operations research, optimization methods, algorithm design, performance analysis, transport, supply chain management, and production planning. He has published over 200 research papers in many of the top operations research and optimization journals and has supervised more than 30 Ph.D. students. Martin has a track record of creating innovative techniques for solving large-scale optimization problems in a variety of areas, ranging from service network design, to last-mile and crowdsourced delivery, to ridesharing. He has demonstrated an ability to design and implement highly sophisticated and effective optimization algorithms as well as an ability to analyze practical decision problems and translate the insights obtained into optimal business solutions. Martin is an INFORMS fellow and he was the James C. Edenfield Chair in the H. Milton Stewart School of Industrial and Systems Engineering (ISyE) at Georgia Institute of Technology until he retired in 2021. Martin is past Editor-in-Chief of Transportation Science, one of the most prestigious academic journals in the area of transportation science and logistics.

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