Mohammad Islam is a PhD candidate at the University of Amsterdam with a decade of experience applying machine learning to real-world scientific and embedded problems. He focuses on generative modeling, geometric deep learning, and spatio-temporal methods, currently exploring molecular property prediction and trajectory simulation. His background spans medical imaging and signal processing—optimizing liver-metastasis monitoring and real-time cardiac event detection for embedded platforms—which gives his research a strong translational bent. Trained across multiple European institutions in an Erasmus Mundus program, he blends rigorous academic methods with hands-on implementation experience. Based in the Netherlands, he brings a rare combination of deep theoretical interest in GenAI and practical expertise in deploying ML for constrained systems.
10 years of coding experience
2 years of employment as a software developer
Master of Science - MS, Erasmus Mundus Joint Master Degree in Image Processing and Computer Vision, Master of Science - MS, Erasmus Mundus Joint Master Degree in Image Processing and Computer Vision at Universidad Autónoma de Madrid
Master of Science - MS, Erasmus Mundus Joint Master Degree in Image Processing and Computer Vision, Master of Science - MS, Erasmus Mundus Joint Master Degree in Image Processing and Computer Vision at Université de Bordeaux
Doctor of Philosophy - PhD, Doctor of Philosophy - PhD at University of Amsterdam
Bachelor of Science (BSc), Computer Science and Engineering, Bachelor of Science (BSc), Computer Science and Engineering at Daffodil International University-DIU
Master of Science - MS, Erasmus Mundus Joint Master Degree in Image Processing and Computer Vision, Master of Science - MS, Erasmus Mundus Joint Master Degree in Image Processing and Computer Vision at Pázmány Péter Katolikus Egyetem
Contributions:12 pushes, 5 branches in 1 year 8 months
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