Rezaul Karim
Research Scientist at Fraunhofer FIT
Aachen, North Rhine-Westphalia, Germany
Summary
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Senior🎓
Top SchoolRezaul Karim is a research scientist and PhD candidate with over a decade of R&D experience at the intersection of bioinformatics, semantic web technologies, and explainable AI. Based at Fraunhofer FIT and supervised by Prof. Stefan Decker at RWTH Aachen, he builds distributed knowledge pipelines that fuse linked data, neural networks, and deep learning for cancer genomics, bioimaging, and healthcare interoperability. His background ranges from leading Android teams at Samsung to large-scale life-sciences analytics at Insight Centre, and he is a prolific technical author of multiple ML and deep learning books. Fluent in Java, Python, Scala and semantic stacks (OWL/RDF/SPARQL), he blends practical production skills (Spark, Docker, AWS/GCP) with a research-first mindset focused on interpretability and MLOps for biomedical data. Not obvious from titles alone: he has contributed patentable ideas at Samsung and published extensively during his Masters, reflecting a long-standing habit of turning research into applied systems.
11 years of coding experience
7 years of employment as a software developer
Master of Engineering - MEng, Data Mining and Knowledge Discovery , 4.038/4.30, Master of Engineering - MEng, Data Mining and Knowledge Discovery , 4.038/4.30 at Kyung Hee UniversityDoctor of Philosophy - PhD, Artificial Intelligence, Expected summer 2020 , Doctor of Philosophy - PhD, Artificial Intelligence, Expected summer 2020 at RWTH Aachen UniversityBachelor of Science - BS, Computer Science & Engineering, First Class, Bachelor of Science - BS, Computer Science & Engineering, First Class at University of DhakaDoctor of Philosophy (Ph.D.), Data Analytics, Semantic Web, Linked Data, Bioinformatics, Incomplete , Doctor of Philosophy (Ph.D.), Data Analytics, Semantic Web, Linked Data, Bioinformatics, Incomplete at National University of Ireland, Galway
English, Arabic, Bangla, Korean, Hindi
Github Skills (169)
python10
cancer-genomics10
clustering10
lstm-neural-networks10
representation-learning10
r10
variational-autoencoder10
bengali10
sql10
classification10
java10
intellij10
word-embeddings10
extraction10
bioinformatics10
Programming languages (10)
Github contributions (5)
rezacsedu/Deep-Learning-for-Clustering-in-Bioinformatics
Aug 2019 - Jan 2021
Deep Learning-based Clustering Approaches for Bioinformatics
Contributions:53 commits, 52 pushes, 1 branch in 1 year 5 months
bioinformaticsclusteringdeep-learningneural-networksclustering-analysis
rezacsedu/rezacsedu
Feb 2021 - Jan 2024
Contributions:126 pushes, 1 branch in 2 years 10 months
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