报告主题：Advanced face recognition systems: Challenges and perspectives for research collaboration

主讲人：Souad Khellat-Kihel副教授

邀请人：康文雄 副院长

时间：2026年10月22日（星期四）上午10:30

地点：华南理工大学三号楼6楼会议室

欢迎广大师生踊跃参加！

自动化科学与工程学院

2026年10月21日

报告摘要：

This talk surveys advanced face recognition systems, addressing challenges in the wild: extreme head pose, occlusion, low-quality frames, and spoofing. It presents eight frameworks covering face-part fusion, biologically-inspired foveated attention, frame selection, continuous authentication, and attention-driven deep models for attributes, gender, and ethnicity. It also covers finger-vein biometrics, anti-spoofing, and student research on periocular recognition, post-quantum privacy, and Parkinson's monitoring.

个人简介：

Souad Khellat-Kihel, Associate Professor and AI researcher with an international career across Algeria, Portugal, Italy, Singapore and China. Expertise in deep learning, computer vision and biometrics, with work on attention-inspired deep architectures, multimodal fusion and mobile face recognition within EU-funded research (H2020 MSCA-RISE IDENTITY, COSMOS). Since October 2025 Erasmus+ Institutional Coordinator at USTO-MB, managing international mobility, partner-university and National Agency liaison, learning agreements and reporting. Experienced in multicultural academic environments, scientific communication and the training of early-stage researchers (doctoral trainer in research methodology, scientific writing and advanced AI topics). Peer reviewer for leading journals and conferences (IJCB, ECAI, IEEE BioCAS).