معرفی
Nicola Strisciuglio is an Associate Professor at the University of Twente, affiliated with the Data Management and Biometrics group. His research focuses on robustness and generalization in computer vision and machine learning, with applications in biomedical imaging, privacy in face recognition, and efficient model architectures.
Key research areas include
- Bias mitigation in training data
- Physics-informed models
- Energy-efficient AI
- Robustness against image corruptions
His recent work emphasizes sparse training, vision transformers, and data-efficient models, as seen in publications at ICLR, CVPR, and IEEE conferences. He supervises ongoing PhD candidates in the Netherlands and abroad. Scientific contributions span theoretical advancements and practical applications in robotics and biometrics. He was awarded the NeurIPS 2023 Outstanding Reviewer Award.
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