Md. Rezaul Karim, M.Eng.
Contact Information
| Address: |
Lehrstuhl Informatik 5 6210 Ahornstr. 55 52056 Aachen DE |
| Phone: | +49 157 59685418 |
| Fax: | +49 241 80 22321 |
| Email: | rezaul.karim@rwth-aachen.de |
I'm a Data Scientist at Fraunhofer FIT, Germany and a Ph.D. candidate at RWTH Aachen University under the supervision of Prof Dr. Stefan Decker. I'm adept and
experienced at: i) analyzing large-scale datasets, ii) developing
accurate predictive models, iii) applying advanced analytical methods to
deliver actionable insights, iv) implementing data-driven solutions to
complex business and research problems and making them interpretable. My
PhD is about improving algorithmic transparency and explainability of
black-box machine learning models with decision rules and knowledge
graph reasoning. I have M.Eng. and BSc. degrees in
Computer Science from the Kyung Hee University, Korea, and the
University of Dhaka, Bangladesh, respectively. Before joining Fraunhofer
FIT, I worked as a Researcher at the Insight Centre for Data Analytics,
Ireland. Before that, I worked as a Lead Engineer at Samsung
Electronics, Korea. Even before that, I worked as a Research Assistant
at Kyung Hee University, Korea. I'm passionate about applied ML, knowledge graphs, and explainable AI
(XAI). My works are mostly focused on bioinformatics, computer vision,
and NLP.
GitHub: https://github.com/rezacsedu
LinkedIn: https://www.linkedin.com/in/karimanalytics/
Google scholar: https://scholar.google.de/citations?user=LTTNF64AAAAJ&hl=en
ResearchGate: https://www.researchgate.net/profile/Md_Karim34
Past Teaching
Theses
- Deep Learning-based Knee Osteoarthritis Diagnosis from Radiographs and Magnetic Resonance Images (2019)
- Classification of Cancer with methylation aware motifs (2019)
- An Explainable and Fully Automated Localization and Semantic Segmentation Technique for Biomedical Imaging (2019)
- Implementation of Clinical Decision Support Services to Detect Drug Interactions using Clinical Quality Language (2019)
- Using Deep Neural Networks and Copy Number Variations for Cancer Detection (2018)
- Analysis of Breast Cancer Genomic Data with Multimodal Deep Belief Network (2018)
Publications
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DeepKneeExplainer: Explainable Knee Osteoarthritis Diagnosis from Radiographs and Magnetic Resonance Imaging
Md. Rezaul Karim, Till Döhmen, Michael Cochez, Oya Beyan, Dietrich Rebholz-Schuhmann, Stefan Decker
Published in IEEE Access
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DeepHateExplainer: ExplainableHate Speech Detection in Under-resourced Bengali Language
Published in IEEE International Conference on Data Science and Advanced Analytics (DSAA'2021)
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Classification Benchmarks for Under-resourced Bengali Language based on Multichannel Convolutional-LSTM Network
Md. Rezaul Karim, Bharathi Raja Chakravarti, John P. McCrae, Michael Cochez
Published in IEEE International Conference on Data Science and Advanced Analytics (DSAA'2020)
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DeepCOVIDExplainer: Explainable COVID-19 Diagnosis from Chest X-ray Images
Md. Rezaul Karim, Till Döhmen, Michael Cochez, Oya Beyan, Dietrich Rebholz-Schuhmann, Stefan Decker
Published in IEEE International Conference on Bioinformatics and Biomedicine (BIBM'2020)
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Enabling Ad-hoc Reuse of Private Data Repositories through Schema Extraction
Lars Gleim, Md. Rezaul Karim, Lukas Zimmermann, Oliver Kohlbacher, Holger Stenzhorn, Stefan Decker, Oya Beyan
Published in Journal of Biomedical Semantics volume 11, Article number: 6 (2020)
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Deep learning-based clustering approaches for bioinformatics
Published in Briefings in Bioinformatics
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Convolutional Embedded Networks for Population Scale Clustering and Bio-ancestry Inferencing
Md. Rezaul Karim, Michael Cochez, Dietrich Rebholz-Schuhmann, Oya Beyan, Stefan Decker
Published in IEEE/ACM Transactions on Computational Biology and Bioinformatics
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A Snapshot Neural Ensemble Method for Cancer Type Prediction Based on Copy Number Variations
Md. Rezaul Karim, Md Ashiqur Rahman, Joao Bosco Jares, Stefan Decker, Oya Beyan
Published in Neural Computing and Applications
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Distributed Analytics on Sensitive Medical Data: The Personal Health Train
Oya Beyan, Ananya Choudry, Johan van Soest, Oliver Kohlbacher, Lukas Zimmermann, Holger Stenzhorn, Md. Rezaul Karim, Michel Dumontier, Stefan Decker, Luiz Olavo Bonino da Silva Santos, Andre Dekker
Published in Data Intelligence
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Prognostically Relevant Subtypes and Survival Prediction for Breast Cancer Based on Multimodal Genomics Data
Md. Rezaul Karim, Galih Wicaksono, Ivan G. Costo, Stefan Decker, Oya Beyan
Published in IEEE Access
Open Access to MIT Press Book „Metamodeling for Method Engineering” 