Noureldien Hussein

PhD Candidate

Netherlands
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Summary

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Noureldien Hussein is a PhD candidate in computer vision based in the Netherlands with 11 years of experience bridging academic research and industry R&D. He has published at CVPR and completed research internships at Meta, Microsoft, and Qualcomm, focusing on video understanding, semantic segmentation, generative models, and human–object interaction detection. Comfortable with state-of-the-art architectures (SwinTransformer, SegFormer, MaskFormer) and generative frameworks (GANs, vid2vid), he has applied both supervised and unsupervised approaches to long-range video tasks and lip/motion manipulation. He also brings software engineering experience from early-career roles building web, mobile, and AR applications, and has co-supervised theses and reviewed for top conferences. Colleagues value him for translating cutting-edge research into practical experiments and efficient implementations across PyTorch and TensorFlow.
code11 years of coding experience
job6 years of employment as a software developer
bookMSc Artificial Intelligence, MSc Artificial Intelligence at University of Southampton
bookBSc Computer and System Engineering, BSc Computer and System Engineering at Ain Shams University
bookPhD Computer Vision, PhD Computer Vision at University of Amsterdam
languagesEnglish, Arabic, Dutch
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Github Skills (21)

python9
machine-learning9
deep-learning9
tensorflow8
data-science7
neural-network7
deep-neural-networks5
ml5
backbone4
human-activity-recognition3
pytorch3
semantic-segmentation2
information-visualization2
visual-recognition2
faster-rcnn2

Programming languages (2)

C++Python

Github contributions (5)

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lyttonhao/videograph

May 2019 - Oct 2019

Implementation of paper "VideoGraph: Recognizing Minutes-Long Human Activities in Videos"
Contributions:23 commits in 5 months
pytorchdeep-learningvideoshuman-activitieshuman-activity-recognition
noureldien/RecommenderSystem

Feb 2015 - Mar 2015

Contributions:35 commits in 11 days
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Noureldien Hussein - PhD Candidate