Marah Halawa

Doctoral researcher

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. Currently, she is a doctoral student at SCIoI and she wroks 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.


SCIoI Publications:

Halawa, M., Hellwich, O., & Bideau, P. (2022). Action based Contrastive Learning for Trajectory Prediction. European Conference on Computer Vision (ECCV), 143–159.
Halawa, M., Wollhaf, M., Vellasques, E., Sanchez Sanz, U., Urko Sanz, & Hellwich, O. (2020). Learning Disentangled Expression Representations from Facial Images. arxiv and WiCV at ECCV2020.