Philipp Miotti

Research areas: artificial intelligence, reinforcement learning, time series analysis, anomaly detection, renewable energy

Position: Research Engineer

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Philipp is a Research Engineer of the Green and Secure Environment team at KInIT. With a strong academic background in Physics from ETH Zurich, he focuses on bridging the gap between complex theoretical concepts and practical industrial applications, particularly in the fields of artificial intelligence and renewable energy systems. His expertise lies in developing and implementing machine learning models for time series analysis, anomaly detection, and optimization within the renewable energy sector. He has served as a solution architect for international projects like the Interreg V4Grid, applying reinforcement learning for energy management optimization, and has led the development of various ML-driven applications.

Selected Activities

  • Invited speaker at the AI Conference hosted by Deutsche Telekom, presenting on anomaly detection in credit card fraud from project FraudNet (2025).
  • Panelist at the conference Artificial Intelligence and Innovations in Business organized by the French-Slovak Board of Trade (2026)