Dr. Oya Deniz Beyan
Contact Information
| Address: |
Lehrstuhl Informatik 5 6235, 2nd floor, building: E2 Ahornstr. 55 52056 Aachen DE |
| Phone: | +49 241 80 21512 |
| Fax: | +49 241 80 22321 |
| Email: | beyan@dbis.rwth-aachen.de |
Dr. Beyan is a postdoctoral researcher at RWTH Aachen University Informatik 5 Department and at Fraunhofer Institute for Applied Information Technology. Dr. Beyan conducts research related to data reusability and FAIR data management, distributed analytics on sensitive data, and data-driven transformation in medicine.
Projects
Current Teaching
Past Teaching
- Methods for Data Reusability (WS 18/19)
- Data Driven Medicine (WS 18/19)
- Knowledge Graphs Praktikum (SS 18)
- Big Data in Personalized Medicine (WS 17/18)
- Data Driven Medicine (WS 17/18)
- Research Data Management (SS 17)
- Big Data in Personalized Medicine (SS 17)
- Data Driven Medicine (SS 17)
- Big Data in Personalized Medicine (WS 16/17)
Job openings
Theses
- Developing a Data Annotation Tool for Scientific Data Management (Open)
- Arden Syntax in Use of Data Analysis Pipelines - Development of a DSL Based on the Arden Syntax, supporting recruitment for clinical trails (Running)
- Deep Learning-based Knee Osteoarthritis Diagnosis from Radiographs and Magnetic Resonance Images (Running)
- Developing a machine-actionable process model for ethical approval workflows (Running)
- Semantic Anomaly Detection in Medical Time Series (Running)
- Unsupervised Anomaly Detection in Medical Time Series Data (Running)
- Design and Implementation of an adaptable visual query tool for graph based health data (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)
- Smart Quality Check for FHIR Resources System (2018)
Publications
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Clinical Decision Support Services to Detect Potential Drug-Drug Interaction using Clinical Quality Language
Binh-Phi Nguyen, Thomas Reese, Stefan Decker, Daniel C. Malone, Richard D. Boyce, Oya Beyan
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Research Data in the Fraunhofer Digital Project: Creating a FAIR Research Data Infrastructure and Culture
Oya Beyan, Andrea Wuchner, Dirk Eisengräber-Pabst, Christoph Quix, Christian Zaschke, Oliver Schumacher
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Representing medication guidelines for use in production rule systems in the context of POLYCARE project
Jonas W. Könning, Carlos A. Velasco, Yehya Mohamad, Stefan Decker, Oya Beyan
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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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Minimum information for dielectric measurements of biological tissues (MINDER): A framework for repeatable and reusable data
Emily Porter, Alessandra La Gioia, Saqib Salahuddin, Stefan Decker, Atif Shahzad, M. Adnan Elahi, Martin O'Halloran, Oya Beyan
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Identification of SHACL Constraints from a Knowledge Graph
Erhard Eibl, Siyabend Sakik, Niels Schneider, Oya Beyan, Nils Lukas
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FAIR Ethics: Making Ethical Review Processes more Machine Actionable
Daniel Mietchen, Verena Schwaiger, 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
Professorship for Christoph Quix 