From August 24–28, the Research Campus hosted the block course Computational Integer Optimization as part of its MODAL Academy program. More than 30 students from TU Berlin, FU Berlin, and partner universities in France and Italy participated, together with participants from several MODAL industry partners. Over five intensive days, the course covered the key algorithmic components of modern mixed-integer programming solvers, including branching, primal heuristics, presolving, cutting planes, symmetry handling, numerics, machine learning, and GPU-based optimization. Lectures were complemented by...Read More
We warmly congratulate Nils-Christian Kempke on the successful defense of his dissertation titled “Structure- and Hardware-Aware Algorithms for Large-Scale Linear and Mixed-Integer Linear Optimization” on September 17, 2026, at Technische Universität Berlin! Unprecedented Opportunities for Complex Energy System Models With the ongoing energy transition and sector coupling, the demands on mathematical modeling and optimization are rising rapidly. Energy system models of the future are characterized by ever-increasing complexity, massive dimensions, and high spatial and temporal resolutions. Traditional optimization approaches are...Read More
On September 10, 2026, our colleague Gioni Mexi (AISST/IOL) successfully defended his doctoral dissertation titled “The Two Faces of Mixed-Integer Programming: Primal and Dual Progress” at the Technische Universität Berlin. In his research, Gioni Mexi works on the two fronts of mixed-integer programming, finding good solutions quickly and learning from infeasible subproblems. On the primal side, he develops two heuristics that find high-quality solutions efficiently. On the dual side, he advances conflict analysis, which turns encountered infeasibilities into constraints that...Read More
