About me

I am a scientific researcher at the Fraunhofer Institute for Computer Graphics Research (IGD) and a principal investigator at the National Research Center for Applied Cybersecurity ATHENE, Germany. I am also participating in the Software Campus project, a management project supported by the German Federal Ministry of Education and Research (BMBF). I received my Ph.D. in computer science from the technical university of Darmstadt in 2022 (grade: passed with distinction, summa cum laude). I am interested in Computer Vision and Machine Learning, specifically, deep feature extraction, segmentation, and image synthesis. My research experience includes computationally efficient and high-performing deep face recognition, synthetic data generation for face recognition development, and deep learning model compression techniques.

News

• Emerging Researcher Interview. IEEE Biometric Council, Page 14, Vol.44, 2022. PDF.
• Received European Biometrics Industry Awards and best presentation award at the 16th European Biometrics Max Snijder, Research, and Industry Awards. Darmstadt, Germany, 2022-09-16. Link.
• Paper accepted at the International Conference on Automatic Face and Gesture Recognition 2023 (FG2023).
  • Fadi Boutros, Marcel Klemt, Meiling Fang, Arjan Kuijper, Naser Damer, “Unsupervised Face Recognition using Unlabeled Synthetic Data”. Github. Arxiv
• Qualcomm Audience Choice Award at the International Joint Conference on Biometrics (IJCB 2022), Oct.10-13, 2022, Abu Dhabi, United Arab Emirates. link
  • Fadi Boutros, Marco Huber, Patrick Siebke, Tim Rieber, Naser Damer, “SFace: Privacy-friendly and Accurate Face Recognition using Synthetic Data”. Github. Paper.
• Five papers accepted at the International Joint Conference on Biometrics (IJCB 2022) link