Research Campus MODAL and its partner KI Park jointly organized the workshop “KI Park meets MODAL” on Friday, 18 September 2026. In the new MODAL offices at FUHUB, MODAL researchers and practitioners from KI Park’s member organisations came together for an afternoon of talks and discussions on mathematical optimization, data analysis and AI adoption. KI Park...Read More
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...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...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...Read More
The paper “Convex mixed-integer optimization with Frank–Wolfe methods” by Deborah Hendrych, Hannah Troppens, Mathieu Besançon, and Sebastian Pokutta, from the Interactive Optimization at Learning Lab at ZIB and TU Berlin, has been selected as the Outstanding Paper of the Year 2025 of Mathematical Programming Computation (MPC), the leading journal for computational mathematical optimization, published in cooperation with the Mathematical Optimization Society....Read More
We warmly congratulate Jaap Pedersen on the successful defense of his dissertation, “Optimized Network Topology Design for Future Energy Infrastructure,” which he presented on July 9, 2026, at the Technical University of Berlin! In his thesis, Jaap Pedersen focuses on the development of cutting-edge mathematical models and solution algorithms for planning future energy infrastructures. At...Read More
The Zuse Institute Berlin welcomes the participants of the 2026 Graduate-Level Research in Industrial Projects for Students (G-RIPS) summer program. From June to August, international graduate students from the USA and Europe will work in interdisciplinary teams on research projects that combine mathematical and computational methods with practical challenges from industry and applied science. Organized...Read More
From June 15 to 26, 2026, the Research Campus MODAL at the Zuse Institute Berlin (ZIB) hosted the hybrid PEREGRINE PIPS-IPM++ Hackathon. Part of the German Federal Ministry for Economic Affairs and Energy (BMWE) funded (03EI1082A-B) PEREGRINE project, the two-week event brought together optimization experts and developers to expand the ecosystem of the parallel open-source...Read More
Gennesaret Kharistio Tjusila, Alexander Hoen, Nils-Christian Kempke, Gioni Mexi, Timo Berthold, Ambros Gleixner, Thorsten Koch, and Sebastian Pokutta won the 2026 Land-Doig MIP Competition, announced at the Mixed-Integer Programming Workshop 2026. The Land-Doig MIP Competition is held yearly in honor of Ailsa H. Land and Alison G. Harcourt (née Doig), the inventors of the branch-and-bound...Read More
Berenike Masing successfully defended her PhD thesis on “Enriched Periodic Timetabling” at the Institute of Mathematics at Freie Universität Berlin on April 29, 2026. The thesis makes substantial progress on the topic of periodic timetabling in public transit with the periodic event scheduling problem (PESP) as its central mathematical framework. It strengthens the theoretical foundations...Read More
