Daniel Bernhard May
Projektass. Dipl.-Ing. / BSc
Research Focus
- Artificial Intelligence and Data Science: 50%
- Information Systems Engineering: 50%
Role
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PreDoc Researcher
Computational Sustainability, E191-05
Publications
- 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
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Neural network splitting for energy-efficient edge-AI
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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
Download: PDF (1.72 MB)
Supervisions
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Advancing Karst Spring Time Series Forecasting: Transfer Learning through Temporal Fusion Transformers and xLSTM
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Haraszti, P. (2026). Advancing Karst Spring Time Series Forecasting: Transfer Learning through Temporal Fusion Transformers and xLSTM [Diploma Thesis, Technische Universität Wien]. reposiTUm. https://doi.org/10.34726/hss.2026.137441
Download: PDF (3.39 MB)
Awards
And more…
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 .