Retsef Levi

Associate Professor of Operations Management

Biography | Publications

Retsef Levi

Retsef Levi's current research is focused on the design and the performance analysis of efficient algorithms for fundamental stochastic and deterministic optimization models, arising in the context of supply chains, revenue management, logistics and health care. These fundamental, multistage stochastic models are typically very hard to solve optimally, both theoretically and in practice. Hence, it is important to develop efficient heuristics that provide provably near-optimal policies for these hard models.

Levi has special interest in Cost-Balancing techniques, data-driven (sampling-based) algorithms, and modern Linear-Programming-based approximation techniques applied to models in the above domains. In addition, he is interested in stochastic and combinatorial optimization and mathematical programming in their broad definition, and especially in their intersection with problems that arise in the context of real-life applications.

Prof. Levi is affiliated with MIT's Master of Science Program in Computation for Design and Optimization.

Retsef Levi was born March 7, 1971 in Tel-Aviv, Israel. He served about 12 years as an officer in the Israeli Defense Forces. In 2005, he received the Goldstine Postdoctoral Fellowship in Mathematical Sciences awarded by the Mathematical Sciences Department at the IBM T. J. Watson Research Center in Yorktown Heights, NY.

Web Site: http://web.mit.edu/retsef/www/

 

Contact Information
Office: E53-389
Tel: 617 253 4155
Fax: 617 258 7579
E-mail: retsef@mit.edu

Support Staff
Name: Michelle Cole
Tel: 617-258-5583
E-mail: mmcole@mit.edu

Group(s)

Research Center(s)

General Expertise
Middle East; Medicine; Competition; Convergence; Optimal control; Optimization; Price fixing; Terrorism; Healthcare operations management; Medical decision making with technological advances; Facility location; Inventory; Infrastructures; Logistics; Manufacturing management; Manufacturing systems; Operations management; Process control; Production; Project management; Supply chain management; Vehicle routing; Business intelligence; Decision making, decision support; Mathematical programming; Operations research; Applied math; Probability, applied; Sampling; Statistics; Stochastic modeling; Applied probability; Revenue management optimization