Dr. Ahmed Alia

Dr. Ahmed Alia

I am a researcher at Forschungszentrum Jülich, specializing in artificial intelligence for complex data analytics and modeling. My work focuses on developing intelligent methodologies to analyze complex crowd data, aiming to extract insights that enhance safety and comfort in public spaces.

Topics:

• Intelligent approaches for crowd behavior analysis and detection
• Real-time and automatic systems for pedestrian data collection and analysis
• Research software development
• Trajectory data prediction
• Object detection and segmentation in videos and images
• Dataset creation for deep learning

Methods and Technologies:

• Machine learning
• Deep learning
• Large Language models
• Visualization
• Internet of Things

Publication Highlight:

A novel Voronoi-based convolutional neural network framework for pushing person detection in crowd videos

An illustrated example of an annotated video stream generated by the Voronoi-based CNN approach. Green boxes indicate pushing persons.

Others

• Publications
• Talks
• Awards
• ResearchGate
• Google Scholar