Daniel May

I am a PhD student at TU Wien in the Research Unit of Computational Sustainability (formerly the High Performance Computing Group), working with Prof. Ivona Brandić within the Institute of Computer Engineering. I work on making AI systems more sustainable and energy-efficient, especially under resource constraints.

I earned my master’s degree in Business Informatics from TU Wien in 2025. My thesis focused on split computing for energy-efficient inference, where I used multi-objective optimization to balance accuracy, latency, and energy.

My current interests include split computing and adaptive offloading across devices in the edge–cloud continuum, energy profiling and DVFS for AI workloads, and model compression (quantization, pruning, distillation). I’m also involved in collaborative work on federated learning.

I’m passionate about making AI more sustainable and efficient. If you’re interested in collaborating or learning more about my research, feel free to reach out.

Outside research, I’m into space — rockets, telescopes, and the night sky. If you’re exploring edge/AI for space systems, I’d love to connect.