Ahmed Šabanović
Room HE 02 20
Favoritenstraße 9-11
1040 Vienna, Austria
I am a PhD student at TU Wien in the Research Unit of Computational Sustainability.
My research interests include data visualization, multimodal learning, and energy-efficient machine learning, with a focus on developing methods that make complex systems more interpretable, scalable, and sustainable.
I have a strong background in data science and machine learning, and I enjoy working at the intersection of research and applied systems, particularly where visual analytics can support understanding and decision-making.
Outside of academics, I enjoy cycling, playing basketball, and staying physically active.
Research Interests
Tools & Languages
Python PyTorch scikit-learn SQL R Git Docker Linux
news
| Apr 29, 2026 | Our paper “INAR-VL: Input-Aware Routing for Edge–Cloud Vision–Language Inference” has been accepted to the 9th International Workshop on Edge Systems, Analytics and Networking (EdgeSys 2026), co-located with MobiSys 2026. The paper will be published as open access under ACM’s new publishing model. 🎉 |
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| Jan 13, 2026 | I’ve successfully completed my Master’s degree in Data Science at TU Wien. 🎓 My master’s thesis, “Optimizing Energy Efficiency in Multimodal Learning for Automated Vehicle Damage Evaluation,” addresses the challenge of automating vehicle damage assessment under strict data and energy constraints.
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