sagha08

Saghi Hajisharif

Principal Research Engineer

My research interests are in visual machine learning, HDR imaging, photo-realistic rendering, compressive imaging, and light fields.

Representation learning for Computational Imaging

I am a researcher in Computer Graphics and Image Processing group. I am interested in using machine learning, specifically sparse representation learning, to transform the data into lower-dimensional space to solve research problems related to computational imaging. I received a PhD in Visualization and Media technology titled "Computational Photography: High Dynamic Range and Light fields" in 2020 from Linköping University. I have an MSc in Advanced Computer Graphics from Linköping University in 2013, focusing on Image-based lighting. In 2009 I received my BSc in Computer Science from Amirkabir University in Tehran.

Publications

2025

Ericka Johnson, David Rayner, Jools Kasmire, Victor Hennetier, Saghi Hajisharif, Helene Ström (2025) Metadata/README elements for synthetic structured data made with GenAI: Recommendations to data repositories to encourage transparent, reproducible, and responsible data sharing

2024

Tahereh Dehdarirad, Ericka Johnson, Gabriel Eilertsen, Saghi Hajisharif (2024) Enhancing Tabular GAN Fairness: The Impact of Intersectional Feature Selection
Behnaz Kavoosighafi, Saghi Hajisharif, Ehsan Miandji, Gabriel Baravdish, Wen Cao, Jonas Unger (2024) Deep SVBRDF Acquisition and Modelling: A Survey Computer graphics forum (Print), Vol. 43 (Article in journal) Continue to DOI
Ehsan Miandji, Tanaboon Tongbuasirilai, Saghi Hajisharif, Behnaz Kavoosighafi, Jonas Unger (2024) FROST-BRDF: A Fast and Robust Optimal Sampling Technique for BRDF Acquisition IEEE Transactions on Visualization and Computer Graphics, Vol. 30, p. 4390-4402 (Article in journal) Continue to DOI
Ericka Johnson, Saghi Hajisharif (2024) The intersectional hallucinations of synthetic data AI & Society: The Journal of Human-Centred Systems and Machine Intelligence (Article in journal) Continue to DOI

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