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ITEC representation @IPDPS 2019, 33rd IEEE International Parallel and Distributed Processing Symposium

The prestigious 33rd IEEE International Parallel & Distributed Processing Symposium, IPDPS 2019 held at Rio de Janerio, Brazil (May 20-24 2019) found representation from ITEC department at UNI-KLU in a number of activities including paper and poster presentations, panel discussions etc. led by Prof. Radu Prodan, Josef Hammer, and Nishant Saurabh.

1. Panel discussion @PAISE 2019, the collocated workshop @IPDPS.

Prof. Radu Prodan led the panel discussion on emerging Blockchain, Parallel AI and Edge computing technology and paradigms at PAISE (Parallel AI and Systems for the Edge), collocated workshop at the prestigious 33rd IEEE International Parallel & Distributed Processing Symposium, IPDPS 2019 along with some renowned researchers including Pete Beckman (Argonne National Laboratory and the University of Chicago), Sandip Kundu (National Science Foundation), Tal Ben-Nun (ETH Zürich), and Ilkay Altintas (Chief Data Science Officer at the San Diego Supercomputer Center), moderated by Rajesh Sankaran (Argonne National Laboratory and the University of Chicago). Prof. Prodan highlighted disruptive scenarios, typically posed with the arrival of next generation technologies and introduced EU H2020 project ARTICONF coordinated by UNI-KLU to the audience in the light of the panel topics.

2. Workshop paper presentation @PAISE 2019, the collocated workshop @IPDPS to be published in IPDPSW proceedings.

Josef Hammer presented the workshop paper “Transparent Access to 5G Edge Computing Services” accepted for publication at 33rd IEEE International Parallel & Distributed Processing Symposium workshop, PAISE 2019.

Authors: Josef Hammer, Philipp Moll and Hermann Hellwagner

3. Conference paper presentation @IPDPS 2019 Cloud Computing session to be published in IPDPS proceedings.

Nishant Saurabh presented the conference paper “Semantics-aware Virtual Machine Image Management in IaaS Clouds” accepted for publication at 33rd IEEE International Parallel & Distributed Processing Symposium , IPDPS 2019.

Authors: Nishant Saurabh (Alpen-Adria Universität Klagenfurt), Julian Remmers (University of Innsbruck), Dragi Kimovski (Alpen-Adria Universität Klagenfurt), Radu Prodan (Alpen-Adria Universität Klagenfurt), Jorge G. Barbosa (LIACC, Faculdade de Engenharia da Universidade do Porto).

4. Poster presentation @IPDPS 2019 PhD Forum.

The ITEC representative members Josef Hammer and Nishant Saurabh presented respective posters amongst distinguished researchers. While, Josef’s poster titled “Transparent Access to 5G Edge Computing Services”, Nishant presented the poster on “Towards a semantic-centric VMI repository management”.

5. Session Chair @IPDPS 2019, Scheduling and Load balancing session.

Prof. Radu Prodan chaired the Scheduling and Load balancing session, which observed some interesting research works from all around the globe.

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Prof. Radu Prodan
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Univ.-Prof. DI Dr. Radu Prodan has been invited to be a part of panel discussion on emerging Blockchain and Edge computing technology and paradigms at PAISE (Parallel AI and Systems for the Edge)

Univ.-Prof. DI Dr. Radu Prodan has been invited to be a part of panel discussion on emerging Blockchain and Edge computing technology and paradigms at PAISE (Parallel AI and Systems for the Edge), collocated workshop at the prestigious 33rd IEEE International Parallel & Distributed Processing Symposium, IPDPS 2019 to be held at Rio de Janerio, Brazil (May 20-24 2019).

Nishant Saurabh
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The poster “Towards a semantic-centric VMI repository management” has been accepted

The poster “Towards a semantic-centric VMI repository management” has been accepted for presentation at PhD forum event of 33rd IEEE International Parallel & Distributed Processing Symposium, IPDPS 2019 to be held at Rio de Janerio, Brazil (May 20-24 2019)

Authors: Nishant Saurabh (Alpen-Adria Universität Klagenfurt), Radu Prodan (Alpen-Adria Universität Klagenfurt)

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Prof. Radu Prodan @ Der Standard – Wie man Supercomputer programmiert

Wer schafft mehr Rechenoperation pro Sekunde? Hochleistungsrechner sind ein wichtiges Werkzeug im Lösen wissenschaftlicher Probleme. HIER der aktuelle Standard Artikel – ein Interview mit Prof. Radu Prodan.

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KWF hat fünf Projekte im Bereich Technologische Dienstleistungen und Informationstechnologien ausgezeichnet

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Prof. Radu Prodan (Principal Investigator, ARTICONF, European Union’s Horizon 2020 research and innovation H2020-ICT-2018-2) sharing insights about next generation social media

Please find the full AAU news blog article here.

ITEC-Spinoff Bitmovin unter den fünf vielversprechendsten heimischen Start-ups

Der Standard hat sich in der Szene umgehört und Business-Angels, Investoren, Non-Profit-Organisationen und Szenekenner gefragt, wen sie für die vielversprechendsten heimischen Start-ups halten – derstandard.at/2000087381425/Diesen-fuenf-heimischen-Start-ups-koennten-Millionendeals-gelingen

 

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Klaus Schöffmann and Mario Taschwer outline the research goals of their new FWF stand-alone project on relevance detection in ophthalmic surgery videos.

The OVID research project (relevance detection in Ophthalmic surgery VIDeos), funded by the Austrian Science Fund (FWF), will start on October 1st, 2018 and run for three years. Together with research partners from Klinikum Klagenfurt, it will allow three PhD students (and an accompanying student assistant) to investigate challenging new research questions at the intersection of computer science and ophthalmic surgery. In particular, automatic classification and prediction of relevant content in video recordings from ophthalmic surgeries (e.g., operation phases, surgical actions, irregular events and their cause) should be evaluated for the purpose of medical training and retrospective analysis of irregularities. The researchers want to address these goals by using methods from video analysis, video compression, and machine learning (including deep neural networks). An interview summarizing the research goals can be found here (in German): https://www.aau.at/blog/relevante-stellen-in-augenoperationsvideos-maschinell-erkennen/