CHAIR OF

COMPUTATIONAL

INTELLIGENCE

Thomas Seidelmann is a PhD Student and researcher at the Otto-von-Guericke University Magdeburg with a focus on complex simulation systems, multi-objective optimization techniques, operations research, and species coexistence theory. In addition to his academic work, Thomas has a strong background in rapid prototyping, 3D modeling for visualization and manufacture, as well as design and user experience. In 2016 he completed his bachelor studies in Visual Computing and Design at the Hochschule Hamm Lippstadt and then got his masters degree in 2019 in Computational Visualistics at the Otto-von-Guericke University.

Publications

• Thomas Seidelmann and Sanaz Mostaghim (2024)
• Optimization of Unequal-Area Facility Layouts for Mass-Customization Assembly Systems with AGV Material Handling
• 2025 EvoStar Conference. Trieste, Italy. Under Review.

• Thomas Seidelmann and Sanaz Mostaghim (2024)
• Real-Time Scheduling for Dynamic Flexible Assembly Job-Shops with Limited Buffers and Multiple-Load AGV Dispatching
• Springer Journal of Scheduling. Under Review.

• Maroš Bratko, Thomas Seidelmann, and Martin Holeňa (2024)
• Graph Neural Networks and Deep Reinforcement Learning in Job Scheduling
• Proceedings of the 24th Conference Information Technologies – Applications and Theory (ITAT 2024). Drienica, Slovakia.

• Thomas Seidelmann and Sanaz Mostaghim (2023)
• Surrogate Functions and Digital Twin Simulation for Modern Facility Layout Planning
• 2023 IEEE Conference on Artificial Intelligence (CAI). Santa Clara, California, USA.

• Thomas Seidelmann and Sanaz Mostaghim (2022)
• Finding Cost-Effective Re-Layouting Solutions in Modern Brownfield Facility Layout Planning
  
• 2022 IEEE Congress on Evolutionary Computation (CEC). Padua, Italy.

• Dominik Fischer, Sanaz Mostaghim, and Thomas Seidelmann (2022)
• Exploring Dynamic Pandemic Containment Strategies Using Multi-Objective Optimization
  
• IEEE Computational Intelligence Magazine.

• Thomas Seidelmann, Jens Weise, and Sanaz Mostaghim (2021)
• Meeting Demands for Mass Customization: A Hybrid Organic Computing Approach
• IEEE Symposium on Computational Intelligence (SSCI). Orlando, Florida, USA.

• Thomas Seidelmann and Sanaz Mostaghim (2021)
• Species Coexistence as an Emergent Effect of Interacting Mechanisms
  
• Theoretical Population Biology Journal. Under review.

• Salgotra Rohit, Amiram Moshaiov, Thomas Seidelmann, Dominik Fischer, and Sanaz Mostaghim (2021)
• Optimal Control Policies to Address the Pandemic Health-Economy Dilemma
  
• 2021 IEEE Congress on Evolutionary Computation (CEC). Kraków, Poland.

• Victor Charpenay, Daniel Schraudner, Thomas Seidelmann, Torsten Spieldenner, Jens Weise, Rene Schubotz, Sanaz Mostaghim, and Andreas Harth (2020)
• MOSAIK: A Formal Model for Self-Organizing Manufacturing Systems
• IEEE Pervasive Computing