Göttinger Graduiertenzentrum für Neurowissenschaften, Biophysik und Molekulare Biowissenschaften

Yahyapour, Ramin, Prof. Dr.


  • 2002 PhD in Electrical Engineering, TU Dortmund
  • 2003 – 2007 Assistant Professor; Institute Leader. Steering member CoreGRID Network of Excellence, TU Dortmund
  • 2007 – 2011 Director “IT and Media Center”, Scientific Coordinator FP7 Project SLA@SOI, TU Dortmund
  • 2009 – 2011 Full Professor, Applied Informatics. Chief Information Officer, TU Dortmund
  • since 2011 Full Professor, Practical Computer Science, University of Göttingen. Managing Director of Gesellschaft für wissenschaftliche Datenverarbeitung mbH Göttingen
  • since 2012 IT commission, Speaker of network commission, DFG
  • since 2014 Council for information infrastructures, Joint Science Conference. Administrative board, DFN. Chief Information Officer, University and University Medical Center Göttingen



Major Research Interests

Our research focus is on eScience. We develop methods and tools for computationally or data intensive science in diverse research fields, and digital infrastructures for collaborative research. In joint interdisciplinary research projects, we are the technical counterpart.

We design fitting research data platforms and repositories extended with search engines, digital research and project management tools, archiving solutions and self-services for user management. These data platforms are web-based to support the cross-project use of data, building up knowledge in an integrated wiki and creating joint publications and software. If necessary, it is possible to allow worldwide associated scientists and colleagues from other research institutes outside access to the platform to work on scientific questions together easily. The integrated research tools depend on the research focus. Examples are applications for integrative statistical data analysis, and algorithmic methods or a virtual microscope (high definition zoom).

Our research benefits from the personal union of the Chair of Practical Computer Science and the Management of the GWDG - Gesellschaft für wissenschaftliche Datenverarbeitung mbH Göttingen. The GWDG, founded in 1970 from the Max Planck Society and the University of Göttingen, is an IT service provider for scientific institutions and carries on research in the fields of practical computer science. As a result, we explore application-oriented IT research and offer the results to GWDG’s customers.

GWDG supports large-scale simulations and data analytics, and operates an HPC cluster. As an IT service provider GWDG offers cloud services, virtual machines and server, communication and project management tools, IT security, network, server and database services as well as IT consulting and training. Our application service includes among others bioinformatics and statistical programmes.


Homepage Department/Research Group

https://www.gwdg.de/research-education

Selected Recent Publications


  • Berber, F, Yahyapour, R, A High-Performance Persistent Identifier Management Protocol. In: 2017 International Conference on Networking, Architecture, and Storage (NAS), Shenzhen, China, August 07-09, 2017, DOI: 10.1109/NAS.2017.8026839

  • Fatemi Moghaddam, F, Wieder P, Yahyapour, R, POBRES: Policy-Based Re-Encryption Schema for Secure Resource Management in Clouds, In: IEEE EUROCON 2019 - 17th IEEE International Conference on Smart Technologies, Ohrid, Macedonia, July, 06-09, 2017, DOI: 10.1109/EUROCON.2017.8011070

  • Zhang F, Fu X, Yahyapour R, CBase: A New Paradigm for Fast Virtual Machine Migration across Data Centers. In: CCGrid 2017, Proceedings of the 17th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing, Madrid, Spain - May 14-17, 2017: 284-293, DOI: 10.1109/CCGRID.2017.26

  • Armenta-Cano F A, Tchernyhk A, Cortés-Mendoza J M, Yahyapour R, Drodoy A Yu, Bourry P, Kliazovich D, Aveisyan A, Nesmachnow S, Min_c: Heterogeneous concentration policy for energy-aware scheduling of jobs with resource contention. In: Programming and Computer Software (2017) Vol. 43 (3):204-215, DOI: 10.1134/S0361768817030021

  • Yang S, Wieder P, Yahyapour R, Trajanovki S, Fu X, Reliable Virtual Machine Placement in Distributed Clouds. In: IEEE Transactions on Parallel and Distributed Systems, (2017) Vol. 28 (10): 2965-2978, DOI: 10.1109/TPDS.2017.2693273

  • Mohebi A, Saeed Reza A, Ying WT, Tutut H, Yahyapour R: Iterative big data clustering algorithms: a review. In: Journal of Software - Practice and Experience, Vol. 46 (1) (2016): 107-129, DOI: 10.1002/spe.2341