Md. Rezaul Karim, M.Sc.
Contact Information
| Address: |
Lehrstuhl Informatik 5 6014, Ground floor, building: E2 Ahornstr. 55 52056 Aachen DE |
| Phone: | +49 241 80 21501 |
| Fax: | +49 241 80 22321 |
| Email: | rezaul.karim@fit.fraunhofer.de |
I am a researcher, author, and a data science enthusiast with a strong Computer Science background +10 years of R&D experience in solving bioinformatics research problems and making them Interpretable. I am passionate about semantics, applied machine learning, knowledge graphs, and explainable artificial intelligence (XAI). Currently, I'm working at Fraunhofer FIT as a researcher. I am also a Ph.D. candidate under the supervision of Prof Dr. Stefan Decker at RWTH Aachen University, Germany, where I'm working towards developing a distributed knowledge pipeline with linked data infrastructure and neural networks for biomedical informatics.
I have MSc 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. I also worked as a Research Assistant at Kyung Hee University, Korea. Even before that, I worked as a Lecturer at Manarat International University, Dhaka, Bangladesh.
Research interests:
• Machine learning
• Semantic web and Linked data
• Bioinformatics
• Explainable artificial intelligence (XAI).
Specialization:
• Programming languages: Java, Python, Scala, R
• Machine learning frameworks: Scikit-learn, Spark ML, Keras, TensorFlow, DeepLearning4j
• Big data stack: Spark, Hadoop
• Cloud platforms: Amazon AWS, Google Cloud Platform, Google Colab
• Semantic Web technology: OWL, RDF, SPARQL, Jena, RDF4J, Fuseki, Virtuoso
• Interactive notebook: Jupyter, Zeppelin
• Containerization technology: Docker
• RDBMS and database: Oracle Certified, MySQL, PostgreSQL, MongoDB
• Version control: Git, Perforce.
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
Current Teaching
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)
- Optimizing Mining Maximal Frequent Patterns with MFPAS ()
Publications
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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
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Drug-Drug Interaction Prediction Based on Knowledge Graph Embeddings and Convolutional-LSTM Network
Md. Rezaul Karim, Michael Cochez, Joao Bosco Jares, Mumtaz Uddin, Oya Beyan, Stefan Decker
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OncoNetExplainer: Explainable Predictions of Cancer Types Based on Gene Expression Data
Md. Rezaul Karim, Michael Cochez, Oya Beyan, Stefan Decker, Christoph Lange
Published in 19th IEEE International Conference on Bioinformatics and Bioengineering (IEEE BIBE 2019)
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A Distributed Analytics Platform to Execute FHIR-based Phenotyping Algorithms
Md. Rezaul Karim, Binh-Phi Nguyen, Lukas Zimmermann, Toralf Kirsten, Matthias Löbe, Frank Meineke, Holger Stenzhorn, Oliver Kohlbacher, Stefan Decker, Oya Beyan
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Schema Extraction for Privacy Preserving Processing of Sensitive Data
Lars Gleim, Md. Rezaul Karim, Lukas Zimmermann, Oliver Kohlbacher, Holger Stenzhorn, Stefan Decker, Oya Beyan
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Cancer Risk and Type Prediction Based on Copy Number Variations with LSTM and Deep Belief Networks
Md. Rezaul Karim, Md Ashiqur Rahman, Stefan Decker, Oya Beyan
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Mining maximal frequent patterns in transactional databases and dynamic data streams: A spark-based approach
Md. Rezaul Karim, Michael Cochez, Oya Beyan, Chowdhury Farhan Ahmed, Stefan Decker
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Towards a FAIR Sharing of Scientific Experiments: Improving Discoverability and Reusability of Dielectric Measurements of Biological Tissues
Md. Rezaul Karim, Matthias Heinrichs, Lars Gleim, Michael Cochez, Emily Porter, Alessandra La Gioia, Saqib Salahuddin, Martin O'Halloran, Stefan Decker, Oya Beyan
Lernen mit tragbaren Geräten: Herausgabe bei Springer 