Thomas Voß

Thomas Voß is a Researcher at Leuphana University of Lüneburg, affiliated with the School of Business and the Department of Production Technology and Systems. His work bridges theoretical computer science with practical manufacturing applications, focusing on intelligent optimization of production systems.

Dr. Voß's research interests include:

• Application of reinforcement learning to manufacturing challenges
• Dynamic scheduling and sequencing in flexible production environments
• Energy optimization in industrial processes
• Simulation-based decision support systems
• Intelligent control of production systems

His publication record demonstrates a consistent focus on applying machine learning techniques, particularly reinforcement learning, to solve complex production optimization problems. The research trajectory shows progression from theoretical models to practical implementations in manufacturing systems, with increasing emphasis on energy efficiency and adaptive control mechanisms in recent work.

Dr. Voß has received recognition for his contributions:

• ACM-SIGSIM Best Ph.D. Student Paper Award (2020)
• Award for Outstanding Presentations at Open Conferences (2017)
• e-fellows.net scholarship recipient (2017)
• Certificate of Honor from the Institute for Product and Process Innovation (2016)

He actively participates in major academic conferences including the Winter Simulation Conference and the Conference on Manufacturing Systems. His current projects include research on intelligent pump control systems for energy optimization and the development of individualized production systems through the IFIPro project.