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Hamed H. Fard

Hamed Habibi Fard

Anomaly Detection

Hamed H. Fard is a PhD candidate in the Cybersecurity and AI group at FU Berlin, where he works on AI-based anomaly detection in 6G networks, and at the Center for Trusted Artificial Intelligence, where he works on explainable, interpretable, robust, and fair AI. Previously, he was an intern in the Computational Auditory Perception Labs at the Max Planck Institute for Empirical Aesthetics, where he worked on gesture, sign, and action recognition in videos. He holds a Bachelor's degree in Software Engineering and a Master of Science in Audio Communication and Technology.

Keywords

  • Anomaly Detection