معرفی
Dr. Luuk Spreeuwers is an Associate Professor specializing in Datamanagement & Biometrics, with a focus on Artificial Intelligence, Computer Vision, and Machine Learning. His research spans biometric security, face recognition, morphing attacks, and finger vein verification, resulting in over 255 publications and 10 years of active research contributions. He has collaboratively developed datasets like Orchid Flowers Dataset and FLUXSynID, advancing AI applications in biology and forensic science.
- Research Interests: Face recognition, biometric security, deep learning, morphing attack detection, finger vein biometrics, explainable AI, and historical image analysis.
Scientific Awards: Best Paper Award (BIOSIG 2017), Best Poster Award (BIOSIG 2014), Educational Award of Electrical Engineering (2018).
- Activities: Organized SITB 2025 and IWBF 2024 conferences; delivered invited talks on face recognition and forensic applications; serves as Editor-in-Chief of IET Image Processing.
Article Trends highlight his work on: deep learning for biometric security, forensic face recognition, morphing attack detection frameworks, finger vein pattern analysis, and robustness testing in AI systems.
Luuk Spreeuwers در سایتهای دیگر
جستوجوهای مرتبط
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