Alexander Schiendorfer

Prof. Dr. Alexander Schiendorfer is a faculty member at Technische Hochschule Ingolstadt within the Faculty of Industrial Engineering, focusing on AI-based Optimization in Automotive Production. His research bridges Artificial Intelligence with manufacturing and industrial engineering, particularly in constraint programming, self-organizing systems, and machine learning applications for composite materials.

His work spans pedagogical innovation in machine learning education, real-time manufacturing analytics, and AI for energy systems. Recent publications highlight applications in gas grid management, synthetic data frameworks, and defect analysis in autonomous driving sensors.

He leads teams at AImotion Bavaria, collaborating on projects like SmartManPy for synthetic manufacturing data and MORL agents for multi-objective energy optimization. His methodological contributions include certainty groups for neural network confidence estimation and hierarchical resource allocation algorithms.