Plenary Lecture or Keynote Address at an International Academic Conference

  1. Scientific Big Data Analytics – Practice & Experience, Invited Keynote, The International Conference on Cloud and Autonomic Computing (CAC 2014), September 8 – 12, 2014, Imperial College, London, UK

Public Guest Lecture at a University outside of Iceland

  1. Helmholtz Artificial Intelligence Cooperation Unit – HAICU, Artificial Intelligence Collaboration Meeting, June 19, 2019, Heinrich Heine University Duesseldorf, Germany
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  2. Parallel and Scalable Machine Learning Co-Design of a Modular Supercomputing Architecture,School for Simulation and Data Sciences (SSD), Aachen Institute for Advanced Study in Computational Engineering Science (AICES), June 17, 2019, RWTH Aachen University Aachen, Germany
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  3. Selected Parallel and Scalable Methods for Scientific Big Data Analytics, Invited Talk, ZIH-Kolloquium, May 21, 2015, Technical University of Dresden, Germany
  4. Enabling Parallel and Scalable Tools for Scientific Big Data Analytics, Invited Talk, AixCAPE Spring Meeting 2015, May 6, 2015, RWTH Technical University of Aachen, Germany
  5. Bedeutung von Interoperabilität und Standards in Grid Infrastrukturen, Invited University Lecture, Course ‘Grid Computing’, July 7, 2012, Ludwig-Maximilians University of Munich, Germany
  6. Design and Applications of an Interoperability Reference Model for Production e-Science Infrastructures, PhD Defence University Lecture, Steinbuch Centre for Computing, July 25, 2012, Karlsruhe Institute of Technology, Karlsruhe, Germany

Lecture at an International Conference

  1. Modular Supercomputing Design supporting Machine Learning Applications, IEEE MIPRO Conference, May 21 – 25, 2018, Opatija, Croatia
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  2. Selected Comparisons between Machine Learning and Deep Learning in Earth Science Applications, Invited Talk, International Conference on: Terrestrial Systems Research: Monitoring, Prediction & High Performance Computing, April 4 – 6, 2018, University of Bonn, Germany
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  3. Scalable Developments for Big Data Analytics in Remote Sensing, IEEE 36th Symposium on Remote Sensing (IGARSS), July 26 – 31, 2015, Milan, Italy
  4. On Parallel and Scalable Classification and Clustering Techniques for Earth Science Datasets, Sixth Workshop on Data Mining in Earth System Science (DMESS 2015), International Conference on Computational Science (ICCS), June 1 – 3, 2015, Reykjavik, Iceland
  5. Smart Data Analytics Methods for Remote Sensing Applications, IEEE 35th Symposium on Remote Sensing (IGARSS), July 13 – 18, 2014, Quebec, Canada
  6. High Productivity Data Processing Analytics Methods with Applications, IEEE MIPRO Conference, May 26 – 30, 2014, Opatija, Croatia
  7. Research Data Alliance: Understanding Big Data Analytics Applications in Earth Science, European Geosciences Union (EGU) General Assembly Conference 2014, April 27 – May 2, 2014, Austria Center Vienna, Vienna, Austria
  8. On Establishing Big Data Breakwaters with Analytics, American Geophysical Union (AGU) Fall Meeting Conference 2013, December 9 – 13, 2013, San Francisco, USA
  9. e-Science Infrastructure Integration Invariants to Enable HTC and HPC Interoperability Applications, 25th IEEE International Parallel & Distributed Processing Symposium (IPDPS), May 16 – 20, 2011, Anchorage, Alaska, USA
  10. Collaborative Interactivity in Parallel HPC Applications, Instrumenting the Grid (InGrid) Conference, April 9, 2008, Island of Ischia, Italy

Lecture at a Domestic Conference

  1. Supercomputing Impact in Big Data and Artificial Intelligence, Invited Keynote, NextGen @ Helmholtz Conference 2018, July 25 – 27, 2018, GFZ Potsdam, Germany
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  2. Societal Impact of High Performance Computing in Science & Engineering, UTmessan 2016, February 5 – 6, 2016, Harpa, Reykjavik, Iceland

Lecture at an Academic Symposium, Seminar or Forum for Academic Groups

  1. ON4OFF Project – Welcome and Use Case 4 Sterne Tisch Update, ON4OFF Project Meeting, Juelich Supercomputing Centre, Forschungszentrum Juelich, July 1, 2019, Juelich, Germany
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  2. Artificial Intelligence Impacts in HPC and Selected Applications, HOECHST International Management Associate Program (HIMAP) Alumni, Juelich Supercomputing Centre, May 10, 2019, Juelich, Germany
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  3. ON4OFF Projekt – Referenzmodell Use Cases, ON4OFF Use Cases Workshop, Adesso, May 6, 2019, Essen, Germany
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  4. JARA-CSD CST Deep Learning – Selected Applications, First JARA-CSD Workshop, AVT Building, RWTH Aachen University, April 11, 2019, Aachen, Germany
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  5. Deutscher Bundestag Impulsvortrag Kuenstliche Intelligenz, Deutscher Bundestag, Enquete-Kommission ‘Kuenstliche Intelligenz’, March 11, 2019, Berlin, Germany
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  6. SMITH ASIC Use Case and Related Work Virtual Physiological Human, SMITH ASIC AG2 Workshop, February 18, 2019, RWTH Aachen University Clinic, Aachen, Germany
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  7. ON4OFF Projekt – Juelich Supercomputing Centre – Rolle und Ziele, ON4OFF Vision Workshop, February 15, 2019, Adesso, Essen, Germany
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  8. Overview of German HPC Resources and Facilities – Helmholtz, CIFAR – Helmholtz Association Workshop – Artificial Intelligence for Neuroscience, January 15 – 16, 2019, Mars Discovery District, Toronto, Canada
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  9. On Parallel and Scalable Machine and Deep Learning Research, CIFAR – Helmholtz Association Workshop – Artificial Intelligence for Neuroscience, January 15 – 16, 2019, Mars Discovery District, Toronto, Canada
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  10. Parallel and Scalable Machine and Deep Learning @ JSC, NCSA Affiliates Seminar, International Supercomputing Conference (SC 2018), November 12 – 15, 2018, Dallas, Texas, USA
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  11. Big Data and Artificial Intelligence at FZJ and JSC, Short Seminar, Visit of Dr. Edmund Heller, State Secretary of North Rhine-Westphalia (NRW), August 9, 2018, Juelich Supercomputing Centre, Forschungszentrum Juelich
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  12. Parallel Machine Learning and Deep Learning Driven by HPC, Invited Talk, 4th International Summer School for Big Data and Machine Learning, Organized by Competence Center for Scalable Data Services and Solutions (SCADS) and Berlin Big Data Center (BBBC), June 30 – July 6, 2018, University of Leipzig, Germany
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  13. SIMDAS & Industry Relations – Examples from Juelich, Invited Talk, Seminar Simulation and Data Science Center of Excellence (SIMDAS), May 5, 2018, The Cyprus Institute, Nicosia, Cyprus
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  14. Deep Learning with Python, Invited Talk, Seminar Joint Laboratory for Extreme Scale Computing (JLESC), April 17 – 19, 2018, Barcelona Supercomputing Centre, Barcelona, Spain
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  15. On Using Array Databases for Machine Learning and Earth Science, Research Data Alliance Working Group Array Database Assessment – Adoption Plans Session, Research Data Alliance (RDA) Plenary Meeting, March 21 – 23, 2018, Berlin, Germany
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  16. Deep Learning vs. Traditional Learning in Remote Sensing, Research Data Alliance Interest Group GeoSpatial Update Session, Research Data Alliance (RDA) Plenary Meeting, March 21 – 23, 2018, Berlin, Germany
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  17. High Performance Computing & DEEP-EST – Introduction and Role in SMITH ASIC Use Case, Smart Medical Information Technology for Healthcare (SMITH) Project – Algorithmic Surveillance of Intensive Care Unit Patients (ASIC) Use Case Meeting, March, Maritim Hotel, 2018, Duesseldorf, Germany
  18. Scientific Big Data Analytics – Pointers to Collaboration Opportunities, Invited Talk, Seminar Joint Laboratory for Extreme Scale Computing (JLESC), December 2 – 4, 2015, Bonn, Germany
  19. High Performance Computing for Science & Engineering, Iceland Science Day, October 31, 2015, Reykjavik, Iceland
  20. Applications of Clustering for Large-Scale Datasets, Research Data Alliance Big Data Interest Group Session, Research Data Alliance (RDA) Plenary Meeting, September 23 – 25, 2015, CNAM, Paris, France
  21. Scientific Big Data Analytics @JSC & Expressions of Interest, Seminar Wissenschaftliches Vortragsprogramm bei den Sitzungen der Rechenzeitkommission des NIC und des Wissenschaftlichen Rates des NIC, April 17, 2015, Zeuthen, Germany
  22. Smart Data Innovation Lab – Data Innovation Community Personalised Medicine, Seminar Smart Data Innovation Lab (SDIL), Data Innovation Community Meeting, March 3, 2015, Bayer Technology Services, Leverkusen, Germany
  23. European Data Infrastructure, Seminar Big Data and Extreme Scale Computing (BDEC), January 21, 2015, Barcelo Sants, Barcelona, Spain
  24. Big Data in HPC, Hadoop, and HDFS, Invited Talk, Cy-Tera/LinkSCEEM HPC Administrator Workshop, January 21, 2015, The Cyprus Institute, Nicosia, Cyprus
  25. Arbeitsprozess und Notwendigkeit einer RDA IG am Beispiel der Interest Group Big Data Analytics, Invited Talk, German Language, RDA – Deutschland Treffen, November 20, 2014, Deutsches GeoForschungszentrum, Potsdam, Deutschland
  26. Understanding PRACE in the light of Data Sharing and Interoperability & RDA Relevance, RDA Europe Workshop about Data Sharing and Interoperability, October 17, 2014, Auditorium Tour Madou, Place Madou 1 B – 1210 Saint Josse-Ten-Noode, Brussels
  27. Big Data in Science – Overview of European & International Activities, HPC PROSPECT Meeting, October 10, 2014, Rotunde, Forschungszentrum Juelich, Juelich Supercomputing Centre, Germany
  28. From Big Data Analytics To Smart Data Analytics With Parallelization Techniques, Invited Talk, IEEE Meeting, September 9, 2014, University of Iceland, Reykjavik, Iceland
  29. Interest Group Big Data Analytics, Invited Talk, German Language, Seminar Koordinationsgespräch Helmholtzgemeinschaft (HGF) – Research Data Alliance (RDA), July 7, 2014, HGF Geschäftsstelle Berlin, Germany
  30. EUDAT – Towards A Pan-European Collaborative Data Infrastructure, Vlaams Supercomputing Centrum (VSC) User Day, January 16, 2014, International Auditorium, Brussels, Belgium
  31. Big Data – Status Quo & Trends, Ársfundur Verkfræðistofnunar Háskóla Islands, November 27, 2013, Haskolatorg, University of Iceland, Reykjavik, Iceland
  32. Research Advances in Data-driven Science through Federation, Seminar for Visit of Prof. Thom Dunning – National Center for Supercomputing Applications (NCSA), October 16, 2013, Forschungszentrum Juelich, Juelich Supercomputing Centre, Germany
  33. Understanding Big Data Analytics in the Context of Scientific Computing, 2nd Annual CHinese-AmericaN-German E-Science and cyberinfrastructure (CHANGES) Workshop – Host National Center for Supercomputing Applications (NCSA), September 10 – 12, 2013, Chicago, USA
  34. High Productivity Processing – Engaging in Big Data around Scientific Computing, Málstofa í tölvunarfræði og reiknifræði – Seminar in Computer and Computational Science, Faculty of Industrial Engineering, Mechanical Engineering, and Computer Science, September 1, 2013, Room Naust, Endurmenntun University of Iceland, Reykjavik, Iceland
  35. Nationale Forschungsinfrastrukturen im EU-Rahmen, Invited Talk, German Language, Seminar, Forschung – Information – Infrastruktur: Bausteine für Open Science – 13. DINI-Jahrestagung, September 25, 2012, Festsaal des Studentenhauses auf dem Campus Sued des Karlsruher Instituts fuer Technologie (KIT), Germany
  36. Overview of EMI Middleware, Invited Talk, Joint European Distributed Computing Infrastructures – Summer School (DCISS), July 11, 2011, Computer and Automation Research Institute of the Hungarian Academy of Sciences, Budapest, Hungary
  37. Workspaces – Concept and Functional Aspects, Invited Talk, The Language Archive – Repository and Workspace Workshop, Workspaces and Web Services Session, September 21, 2010, Rechenzentrum Garching (RZG), Munich, Germany
  38. The Seven Habbits of Highly Effective Cloud Standardization Processes, Invited Talk, CloudCamp Berlin, April 30, 2009, Berlin, Germany
  39. e-Science with UNICORE, Invited Talk, International Summerschool on Grid Computing (ISSGC), July 8, 2008, Balatonfuered, Hungary

Poster at an International Conference

  1. Remote Sensing Data Analytics with the Udocker Container Tool using Multi-GPU Deep Learning Systems, The Big Data from Space (BiDS 2019) conference, February 19 – 21, 2019, Munich, Germany
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  2. Enhancing Deep Learning towards Exascale with the DEEP-EST Modular Supercomputer Architecture, The Exascale Applications and Software Conference, April 17 – 19, 2018, Edinbourgh, United Kingdom
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  3. Automated Soccer Scene Tracking Using Deep Neural Networks, the Institute for Advanced Simulation (IAS) – Symposium, December 5 – 6, 2016, Juelich, Germany
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  4. Automatic Object Detection using DBSCAN for Counting Intoxicated Flies in the FLORIDA Assay, the 15th IEEE International Conference on Machine Learning and Applications (ICMLA 2016), December 18 – 20, 2016, Anaheim, USA
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