Daniel Tesfamariam Semere

Daniel Tesfamariam Semere is an Associate Professor at KTH Royal Institute of Technology, affiliated with the School of Industrial Engineering and Management (ITM) and the Department of Production Engineering under the Digital Futures Faculty. His role includes teaching and coordinating courses in industrial production systems, such as Digital Factories and Modeling and Simulation of Industrial Processes. He is actively involved in academic administration as an examiner and course manager for several advanced-level programs.

His research focuses on manufacturing systems, machining processes, and quality prediction, with notable contributions to tool wear analysis, residual stress prediction, and variation propagation modeling. His work integrates advanced methodologies like dual quaternions, machine learning, and optimization algorithms to address challenges in precision manufacturing and supply chain logistics.

Dr. Semere’s recent publications emphasize data-driven approaches to improve manufacturing accuracy, reduce distortions, and optimize warehouse systems. His expertise bridges theoretical models with practical applications, contributing to sustainable and efficient industrial solutions.