SCIoI Alumni

Marah Halawa

Doctoral Researcher

Computer Science

TU Berlin

   

Photo: SCIoI

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Marah Halawa

Marah Halawa

Photo: SCIoI

Marah Halawa received her M.Sc in Computer Science from TU Berlin in 2019, where she specialized in Machine Learning and Artificial Intelligence and worked on many machine learning applications eg. Speech Recognition, and Facial Expressions Recognition. Then after graduation, she started a full-time position as a Data Scientist, where she developed a Deep Learning based system for Fraud Detection. She then joined SCIoI as a doctoral student, working on Project 29, “Hierarchical modularized vision system for perception-action loops”. Her research focuses on enabling visual understanding bottleneck of modularized and hierarchical temporal vision systems for closed perception-action loops.

Projects

Marah Halawa is member of Project 29.

Halawa, M., Blume, F., Bideau, P., Maier, M., Abdel Rahman, R., & Hellwich, O. (2024). Multi-Task Multi-Modal Self-Supervised Learning for Facial Expression Recognition. CVPR Workshop. https://doi.org/10.48550/arXiv.2404.10904
Halawa, M., Blume, F., Bideau, P., Maier, M., Abdel Rahman, R., & Hellwich, O. (2024). Multi-Task Multi-Modal Self-Supervised Learning for Facial Expression Recognition. IEEE Computer Vision and Pattern Recognition Conference Workshops (CVPRW) 2024. https://doi.org/10.48550/arXiv.2404.10904
Halawa, M., Hellwich, O., & Bideau, P. (2022). Action based Contrastive Learning for Trajectory Prediction. European Conference on Computer Vision (ECCV), 143–159. https://doi.org/10.1007/978-3-031-19842-7_9
Halawa, M., Wollhaf, M., Vellasques, E., Sanchez Sanz, U., UrkoSanz, & Hellwich, O. (2020). Learning Disentangled Expression Representations from Facial Images. arxiv and WiCV at ECCV2020. https://doi.org/10.48550/arXiv.2008.07001

For the Public - Girls’ Day 2022

Research

An overview of our scientific work

See our Research Projects