Robust optimization in nanoparticle technology: A proof of principle by quantum dot growth in a residence time reactor. - Jana Dienstbier; Kevin-Martin Aigner; Jan Rolfes; Wolfgang Peukert; Doris Segets; Lukas Pflug; Frauke Liers (Comput. Chem. Eng., 2022)

Robust approximation of chance constrained DC optimal power flow under decision-dependent uncertainty. - Kevin-Martin Aigner; Jan-Patrick Clarner; Frauke Liers; Alexander Martin 001 (Eur. J. Oper. Res., 2022)

Solving AC Optimal Power Flow with Discrete Decisions to Global Optimality. - Kevin-Martin Aigner; Robert Burlacu; Frauke Liers; Alexander Martin 001 (INFORMS J. Comput., 2023)

Data-Driven Distributionally Robust Optimization over Time. - Kevin-Martin Aigner; Andreas Bärmann; Kristin Braun; Frauke Liers; Sebastian Pokutta; Oskar Schneider; Kartikey Sharma; Sebastian Tschuppik (INFORMS J. Optim., 2023)

A Framework for Data-Driven Explainability in Mathematical Optimization. - Kevin-Martin Aigner; Marc Goerigk; Michael Hartisch; Frauke Liers; Arthur Miehlich (AAAI, 2024)