Andreas Wicenec


  • The University of Western Australia (M468), 35 Stirling Highway,

    6009 Perth


  • 589 Citations
  • 7 h-Index

Research output per year

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Personal profile


Professor at the University of Western Australia since 2010, leading the Data Intensive Astronomy Program (DIA) of the International Centre for Radio Astronomy Research (ICRAR) to research, design and implement Petabyte scale data flows and high performance scientific computing for the Murchison Wide Field Array (MWA), the Australian SKA Pathfinder and the SKA. During his graduate, post-graduate and post-doctoral appointments, he was involved in the software development and reduction of photometric and astrometric Tycho data from the Hipparcos satellite. He joined ESO in 1997 as an archive specialist and was involved in the final implementation of the archive for ESO's Very Large Telescope (VLT) and the ESO Imaging Survey. Between 2002 and 2010, he was employed as ESO's Archive Scientist and led the ALMA archive subsystem development group. Prof. Wicenec is also involved in the International Virtual Observatory Alliance (IVOA). His scientific interests and publications include high precision global astrometry, optical background radiation, stellar photometry, dynamics and evolution of planetary nebulae and observational survey astronomy and the related scheduling and computational concepts.

Roles and responsibilities

Head of Data Intensive Astronomy Program at ICRAR

Future research

Design, architecture and implementation of the global SKA data layer.

Previous positions

Editor Astronomy & Computing Journal

Current projects

Murchison Wide Field Array Data Management
Australian SKA Pathfinder Data-intensive science reduction system
SKA Science Data Processor Consortium
The Data Activated Flow Graph Engine (DALiuGE,
Rialto, a project in collaboration with CSIRO and support by a 1.66 million dollar grant to combine DALiuGE with the data reduction software for the Australian SKA Pathfinder, ASKAPSoft.
NGAS, the Next Generation Archive System, a project which is supporting the data flows of many of the largest observatories in the world (

Teaching overview

PhD and Masters Student supervision


Efficient data archiving and data flow optimization. High performance persistence systems. Large scale astronomical survey systems. High precision astrometry and photometry and stellar dynamics.


German (mother tongue)
Spanish (basic)

Research expertise keywords

  • Petascale storage and computing
  • Astronomical data processing
  • Large scale data flow system design
  • Database systems
  • Astrometry

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Research Output

  • 589 Citations
  • 7 h-Index
  • 11 Article
  • 9 Conference paper
  • 1 Letter
  • 1 Short survey

Chiles: H I morphology and galaxy environment at z = 0.12 and z = 0.17

Hess, K. M., Luber, N. M., Fernández, X., Gim, H. B., Van Gorkom, J. H., Momjian, E., Gross, J., Meyer, M., Popping, A., Davies, L. J. M., Hunt, L., Kreckel, K., Lucero, D., Pisano, D. J., Sanchez-Barrantes, M., Yun, M. S., Dodson, R., Vinsen, K., Wicenec, A., Wu, C. & 10 others, Bershady, M. A., Chung, A., Davis, J. D., Meyer, J. D., Henning, P., Maddox, N., Smith, E. T., Van Der Hulst, J. M., Verheijen, M. A. W. & Wilcots, E. M., 1 Jan 2019, In : Monthly Notices of the Royal Astronomical Society. 484, 2, p. 2234-2256 23 p.

Research output: Contribution to journalArticle

  • 6 Citations (Scopus)

    SKA shakes hands with Summit

    Wang, R., Wicenec, A. & An, T., 19 Dec 2019, In : Science Bulletin.

    Research output: Contribution to journalShort survey

    Partitioning SKA dataflows for optimal graph execution

    Wu, C., Wicenec, A. & Tobar, R., 11 Jun 2018, Proceedings of the 9th Workshop on Scientific Cloud Computing, ScienceCloud 2018 - Co-located with HPDC 2018. USA: Association for Computing Machinery (ACM), a6

    Research output: Chapter in Book/Conference paperConference paper

  • 1 Citation (Scopus)

    DALiuGE: A graph execution framework for harnessing the astronomical data deluge

    Wu, C., Tobar, R., Vinsen, K., Wicenec, A., Pallot, D., Lao, B., Wang, R., Fricke, T. T., Boulton, M., Cooper, I., Dodson, R., Dolensky, M., Mei, Y. & Wang, F., 1 Jul 2017, In : Astronomy and Computing. 20, p. 1-15 15 p.

    Research output: Contribution to journalArticle

  • 7 Citations (Scopus)

    AdiosStMan: Parallelizing Casacore Table Data System using Adaptive IO System

    Wang, R., Harris, C. & Wicenec, A., 2016, In : Astronomy and Computing. 16, p. 146-154 9 p.

    Research output: Contribution to journalArticle

  • 4 Citations (Scopus)