Optimal Control Policies to Address the Pandemic Health-Economy Dilemma. - Rohit Salgotra; Amiram Moshaiov; Thomas Seidelmann; Dominik Fischer; Sanaz Mostaghim (CEC, 2021)

Meeting Demands for Mass Customization: A Hybrid Organic Computing Approach. - Thomas Seidelmann; Jens Weise; Sanaz Mostaghim (SSCI, 2021)

MOSAIK: A Formal Model for Self-Organizing Manufacturing Systems. - Victor Charpenay; Daniel Schraudner; Thomas Seidelmann; Torsten Spieldenner; Jens Weise; René Schubotz; Sanaz Mostaghim; Andreas Harth (IEEE Pervasive Comput., 2021)

Finding Cost-Effective Re-Layouting Solutions in Modern Brownfield Facility Layout Planning. - Thomas Seidelmann; Sanaz Mostaghim (CEC, 2022)

Exploring Dynamic Pandemic Containment Strategies Using Multi-Objective Optimization [Research Frontier]. - Dominik Fischer; Sanaz Mostaghim; Thomas Seidelmann (IEEE Comput. Intell. Mag., 2022)

Graph Neural Networks and Deep Reinforcement Learning in Job Scheduling. - Maros Bratko; Thomas Seidelmann; Martin Holena (ITAT, 2024)

Optimization of Unequal-Area Facility Layouts for Mass-Customization Assembly Systems with AGV Material Handling. - Thomas Seidelmann; Sanaz Mostaghim (GECCO, 2025)