Noor Hazim Hussein
PhD Student in CSE, Michigan State University
I am a PhD student in CSE at Michigan State University, advised by Prof. Karthik Nandakumar and Prof. Anil K. Jain in the SPriNT-AI Lab. My research focuses on Trustworthy AI and Biometrics.
Previously, I completed an MSc in Machine Learning at MBZUAI (full scholarship), where my thesis focused on certifying robustness of medical Vision-Language Models via prompt learning. I hold a BSc in Applied Mathematics and Statistics from Khalifa University (full scholarship, UAE Ministry of Education), graduating with Excellent and Highest Honors.
Recent News
- 2026🏆 Best Poster Best Poster Award at CITeR Spring 2026 Progress Report.
- 2026IJCB 2026 Progressive Learning of a Diffusion-based Inpainting Model for Separating Overlapped Fingerprints accepted. ✨
- 2026ICML 2026 Watermark stealing mitigation paper accepted at the AI4GOOD Workshop at ICML 2026. ✨
- Feb 2026CVPR 2026 Latent fingerprint generation paper accepted at the FoundGen-Bio Workshop at CVPR 2026. ✨
- Jan 2026ICLR 2026 MOLM: Mixture of LoRA Markers accepted at ICLR 2026. ✨
- Jul 2025MIUA 2025 Parameter-efficient multimodal adaptation for certified robustness accepted.
- 2024🏆 1st Place Won the NeurIPS 2024 ETI Challenge for Image Watermarks — beige-box and black-box tracks.
- Oct 2024MICCAI 2024 PromptSmooth accepted at MICCAI 2024.
- Nov 2024ICIP 2024 Multi-Attribute ViTs accepted at IEEE ICIP 2024.
- Dec 2023NeurIPS 2023 Align your Prompts accepted at NeurIPS 2023.
Publications
IJCB 2026
Progressive Learning of a Diffusion-based Inpainting Model for Separating Overlapped Fingerprints
IEEE International Joint Conference on Biometrics (IJCB) 2026
CVPR 2026 Workshop
Intra-finger Variability of Diffusion-based Latent Fingerprint Generation
FoundGen-Bio Workshop at CVPR 2026
ICLR 2026
MOLM: Mixture of LoRA Markers
International Conference on Learning Representations (ICLR) 2026
ICML 2026 Workshop
Mitigating Watermark Stealing Attacks in Generative Models via Multi-Key Watermarking
AI4GOOD Workshop at ICML 2026
MIUA 2025
Parameter-Efficient Multimodal Adaptation for Certified Robustness of Medical Vision-Language Models
Medical Image Understanding and Analysis (MIUA) 2025
MICCAI 2024
PromptSmooth: Certifying Robustness of Medical Vision-Language Models via Prompt Learning
Medical Image Computing and Computer Assisted Intervention (MICCAI) 2024
IEEE ICIP 2024
Multi-Attribute Vision Transformers are Efficient and Robust Learners
IEEE International Conference on Image Processing (ICIP) 2024
NeurIPS 2023
Align your Prompts: Test-time Prompting with Distribution Alignment for Zero-shot Generalization
Advances in Neural Information Processing Systems (NeurIPS) 2023
Career Trajectory
| Jun–Aug 2026 |  |
NEC National Security Systems Biometric Research Intern |
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| 2025 to Present |  |
Michigan State University PhD in CSE |
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| May–Aug 2025 |  |
MBZUAI Visiting PhD Student |
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| Jul–Dec 2024 | |
MBZUAI Research Associate |
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| Jul–Oct 2023 |  |
KAUST Visiting Student Researcher |
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| 2022 to 2024 | |
MBZUAI MS in Machine Learning |
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| Jun–Aug 2022 |  |
NYU Abu Dhabi Research Intern (CQTS) |
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| 2017 to 2021 |  |
Khalifa University BSc in Applied Mathematics & Statistics |
Awards and Honors
- Best Poster Award — CITeR Spring 2026 Progress Report.
- 1st Place — NeurIPS 2024 ETI Challenge for Image Watermarks — won both the beige-box and black-box tracks.
- 11th Heidelberg Laureate Forum Alumna — selected among researchers worldwide to attend in Germany.
- Full MSc Scholarship — Mohamed Bin Zayed University of AI (MBZUAI).
- UAE Golden Visa (10-year) — awarded to high-achieving students and professionals in the UAE.
- Teacher License — Emirates Schools Establishment (ESE).
- Full BSc Scholarship — UAE Ministry of Education · Khalifa University. Graduated Excellent with Highest Honors.
Teaching
Mathematical Foundations for Artificial Intelligence
Probabilistic and Statistical Inference in Machine Learning
Disease Modeling & Cryptography
Skills
Programming
Frameworks
Systems
Languages