Zahra Babaiee

Zahra Babaiee is a PreDoc Researcher at the Department of Cyber-Physical Systems at Vienna University of Technology, actively contributing to interdisciplinary research at the intersection of artificial intelligence, neuroscience, and medical imaging. She is involved in projects such as MATTO-GBM (2024–2027), funded by the Austrian Science Fund (FWF), and Efficient Visual Intelligence for Autonomous Driving and Mobility (2025–2026), supported by the Austrian Research Promotion Agency (FFG).

Research Focus: Her work spans

• Artificial intelligence and machine learning
• Neuroscience-inspired neural network architectures
• Medical imaging and radiation treatment optimization
• Autonomous driving and mobility analytics
• Depthwise convolutional filters and biological receptive fields
• Robust image classification techniques

Collaborative Projects: Key collaborations include publications in leading conferences like AAMAS, ICLR, and WACV, with applications in tourism flow prediction, prostate segmentation, and autonomous systems. Her research demonstrates a strong emphasis on scalable AI solutions and multimodal data analysis.

Laboratory Affiliation: She works within the Cyber-Physical Systems research group at Vienna University of Technology, focusing on practical implementations of AI in real-world scenarios.