Philipp Wiesner

Philipp Wiesner is a Research Fellow at Technische Universität Berlin in the Distributed and Operating Systems (DOS) group led by Prof. Odej Kao. He completed his PhD at TU Berlin in June 2025 with summa cum laude honors for his thesis on carbon-aware optimization. Prior to academia, he worked as a Software and Data Engineer in Berlin.

His research focuses on carbon-aware computing—aligning computational energy use with renewable availability—and intersects with distributed systems, machine learning infrastructure, and sustainable energy systems. Key methodologies include workload shifting, federated learning optimization, and simulation testbeds.

Wiesner received the 1st prize in CarbonHack22 (2022) and his PhD distinction (2025). He led the Software Campus project SYNERGY (2022-2024), developing sustainable federated learning (FedZero) and carbon-aware testing tools (Vessim). He supervised TU Berlin's Master Project on Distributed Systems (2022) and served on the e-Energy 2026 Technical Program Committee.

He collaborates internationally with institutions including the University of Glasgow, PUCRS (Brazil), and IRIT (France), and maintains active roles in workshops like LOCO'24.