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Stefano Smriglio's research interests concern with optimization, in
particular integer programming and combinatorial optimization, and
range from theoretical analysis to computational experimentation and
applications.

Two long-standing projects concern

• the study of mathematical programming algorithms for the Maximum Stable Set problem (equivalent to the Maximum Clique problem) (working paper)
• the development of algorithms for symmetric integer programs

Current research: Quadratic Unconstrained Binary Optimization (QUBO)

Current applications: workforce planning by robust optimization (working paper)

Industrial partnerships: DXC Technology