I am a PhD student supervised by Olga Saukh at the Embedded Learning and Sensing Systems (ELSS) Group, Institute for Technical Informatics, TU Graz, Austria. My research interests include efficient machine learning, on-device and embedded machine learning, deep learning, computer vision, efficient pre-training, and the Internet of Things (IoT).
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[Jan. 2026] 🚀 Our paper Cut Less, Fold More: Model Compression through the Lens of Projection Geometry was accepted at ICLR'26.
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[Jan. 2026] 🚀 Our paper FOSL: A Foldable Sparse-and-Low-Rank Method for Efficient LLM Pre-training was accepted at CPAL'26 (Recent Spotlight Track).
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[Jan. 2026] 🚀 Our paper GRAIL: Post-hoc Compensation by Linear Reconstruction for Compressed Networks was accepted at CPAL'26 (Proceedings Track).
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[Nov. 2025] Two workshop papers were accepted at EurIPS'25.
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[Apr. 2025] I presented the Model Folding paper at ICLR'25 in Singapore.
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[Jan. 2025] 🚀 Our paper Forget the Data and Fine-Tuning! Just Fold the Network to Compress was accepted at ICLR'25.
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[Aug. 2024] I gave an oral presentation about Subspace-Configurable Networks at CoLLAs'24 in Pisa, Italy 🇮🇹. See pictures here 📷
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[Jun. 2024] I attended the DENISE Summer School.
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[May 2024] I presented Subspace-Configurable Networks at the PML4LRS workshop at ICLR'24.
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[Apr. 2024] 🚀 Our paper Subspace-Configurable Networks was accepted (oral) at CoLLAs'24.
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[Feb. 2024] I presented my research at GraML.
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[Nov. 2022] I started my PhD at TU Graz, Austria.
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[Jun. 2021] My master's thesis was approved by Uppsala University.
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[Jan. 2021] I started my master's thesis at Ericsson.
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[Jun. 2020] SemiFlow: a deep learning framework with automatic differentiation and automatic shape inference v1.0 was released.
