M.Sc. Sheeba Samuel

Researcher/PhD Candidate

Ernst-Abbe-Platz 2

Room: 3211

E:

Join date: 2016-01-04

Curriculum Vitae

Past Positions:

Member of Technical Staff II – Aruba, a Hewlett Packard Enterprise Company (July 2013-December 2015)

Graduate Technical Intern – Aruba, a Hewlett Packard Enterprise Company (January 2013-June 2013)

Education:

Master of Technology (M Tech), Information Technology, International Institute of Information Technology, Bangalore, India (2011-2013)

Bachelor of Technology (B Tech), Computer Science and Engineering, Cochin University of Science and Technology (CUSAT), India

Publications:

“Towards Reproducibility of Microscopy Experiments”, First International Workshop on Reproducible Open Science, 2016. @TPDL 2016
http://repscience2016.research-infrastructures.eu/

 

“Hadoop Compatible Framework for Discovering Network Topology and Detecting Hardware Failures.” Services in Emerging Markets (ICSEM), 2012 Third International Conference on. IEEE, 2012.

Research Area

My research area includes:

  • Scientific Data Management and processing
  • Reproducibility of Scientific Experiments
  • Semantic Web
  • Data provenance

Publications

2016

Towards Reproducibility of Microscopy Experiments
Sheeba Samuel, Frank Taubert, Daniel Walther, Birgitta König-Ries and H. Martin Bücker
First International Workshop on Reproducible Open Science, 2016 co-located with TPDL
Hannover, Germany 9.9.2016

Current Projects

Project Z2 of CRC ReceptorLight: Integrative Data Management and Processing
Project Z2 of CRC ReceptorLight is jointly carried out by the Jena University Hospital and Friedrich Schiller University Jena within the framework of the Collaborative Research Centre (CRC) "High-end light microscopy elucidates membrane receptor function (Receptor Light)" established in 2015. CRC ReceptorLight is funded by the German Research Foundation (DFG) and consists of around 20 research projects from various institutions located in Jena and Würzburg. It will apply and develop light microscopy techniques with highest resolutions in space and time. The volume of the resulting datasets will be large, expected to be in multi-petabyte data. The overall goal of project…
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