معرفی
Detlef Arend is a Research Associate at the Department of Electrical Power Engineering, South Westphalia University of Applied Sciences. He specializes in Machine Learning, Reinforcement Learning, and Scientific Software Development with a focus on automation and sustainability.
Research Interests:
- Machine Learning
- Reinforcement Learning
- Scientific Software Development
- Sustainable AI Applications
- Automation Technology
Recent Article Trends: His work centers on the MLPro framework, advancing reinforcement learning, game theory, and simulation tools for production systems in Python. Topics include online-adaptive control, cluster-based anomaly detection, and standardized ML development.
Advising: He has supervised multiple Master's and Bachelor's theses on topics like adaptive state-based systems, anomaly detection, and PID control. Students include Laxmikant Shrikant Baheti, Syamraj Purushamparambil Satheesh Kumar, and Bilal Loukili.
Labs & Teams: Affiliated with the Laboratory for Automation Technology and Learning Systems in Soest, contributing to projects like MLPro and MLPro-MPPS.
