Celebrating Dr. Marco Ratusny’s Successful PhD Defense! 🎓
We are thrilled to announce that Marco Ratusny successfully defended his PhD! As an industrial PhD candidate from Infineon and under the supervision of Prof. Maximilian Schiffer, Marco made remarkable contributions at the intersection of artificial intelligence and operations management, focusing especially on the semiconductor industry. His research leveraged deep learning and reinforcement learning to advance customer order behavior classification and inventory planning. Marco will continue his journey at Infineon, leading his team to explore these topics even further. Congratulations, Dr. Ratusny!
Ratusny, M., Schiffer, M., & Ehm, H. (2022). Customer order behavior classification via convolutional neural networks in the semiconductor industry. IEEE Transactions on Semiconductor Manufacturing, 35(3), 470-477.
Ulrich, P., Ramzy, N., & Ratusny, M. (2023). Semantic Context Information Modeling With Neural Networks in Customer Order Behavior Classification. IEEE Transactions on Semiconductor Manufacturing, 36(4), 570-577.
Ratusny, M., Kim, J. H., Sekiya, H., Schiffer, M., & Ehm, H. (2024, December). Enhancement of Vendor-Managed Inventory Planning Through Deep Reinforcement Learning. In 2024 Winter Simulation Conference (WSC) (pp. 1749-1760). IEEE.
Ratusny, M., & Schiffer, M. Capacity Allocation Under Scarce and Volatile Demand: A Data-Driven Approach For The Semiconductor Industry. (working paper)
