2025W

• Introduction to Computational Sustainability / 191.021 / VU

• Towards Energy-Efficient Split Computing: A Hardware-Software Co-Design Perspective / May, D., Tundo, A., Ilager, S., & Brandic, I. (2025). Towards Energy-Efficient Split Computing: A Hardware-Software Co-Design Perspective [Poster Presentation]. EuroSys 2025, Rotterdam, Netherlands (the). http://hdl.handle.net/20.500.12708/225745
• DynaSplit: A Hardware-Software Co-Design Framework for Energy-Aware Inference on Edge / May, D., Tundo, A., Ilager, S., & Brandic, I. (2024). DynaSplit: A Hardware-Software Co-Design Framework for Energy-Aware Inference on Edge. arXiv. https://doi.org/10.48550/arXiv.2410.23881
• Symptom-Score des Sterbeprozesses zur Prognosebeurteilung des Sterbeprozesses bei Bewohnern in Pflegeheimen / May, D., Bonelli, J., Feuchtner, M., Filzmoser, P., Prat, E. H., & Kummer, S. (2024). Symptom-Score des Sterbeprozesses zur Prognosebeurteilung des Sterbeprozesses bei Bewohnern in Pflegeheimen. HeilberufeSCIENCE, 15(3–4), 95–103. https://doi.org/10.1007/s16024-024-00412-1
• Neural network splitting for energy-efficient edge-AI / May, D. B. (2024). Neural network splitting for energy-efficient edge-AI [Diploma Thesis, Technische Universität Wien]. reposiTUm. https://doi.org/10.34726/hss.2025.111983
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• Science Award
  2025 / TÜV AUSTRIA Group / Austria / Website
• netidee Scholarship
  2024 / Internet Foundation Austria / Austria / Website

Soon, this page will include additional information such as reference projects, activities as journal reviewer and editor, memberships in councils and committees, and other research activities.

Until then, please visit Daniel Bernhard May’s research profile in TISS .