Morris Riedel Teaching 0

Teaching – Overview

Teaching Experience Adjunct Lecturer, Lecturer, Senior Lecturer or Professor University Course: Cloud Computing and Big Data – Parallel and Scalable Machine Learning and Deep Learning, School of Engineering and Natural Sciences, University of Iceland, Iceland, Fall 2018 [ MORE ] University Course: High Performance Computing – Advanced Scientific Computing, School of Engineering and Natural Sciences, University of Iceland, Iceland, Fall 2017 [ MORE ] University Course: Cloud Computing and Big Data – Internet-based Shared Computing & Data Processing, School of Engineering and Natural Sciences, University of Iceland, Iceland, Spring 2017 University Course: High Performance Computing B – High Productivity Processing...

Morris Riedel Research 0

Research – Overview

Research Areas Research of the high productivity data processing research group at Forschungszentrum Juelich – Juelich Supercomputing Centre and University of Iceland focuses on application-driven parallel and scalable machine learning methods including related areas such as feature engineering, statistical data mining, and innovative deep learning techniques. In our projects we are cooperating with academic research groups worldside as well as with selected industry companies including the support of start-ups. Additional funding sources are the European Union or the German Federal Ministry of Education and Research. If you are interested in one of these research topics please contact me by email...

Morris Riedel Talks

Talks – Overview

Lectures Plenary Lecture or Keynote Address at an International Academic Conference 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 Selected Parallel and Scalable Methods for Scientific Big Data Analytics, Invited Talk, ZIH-Kolloquium, May 21, 2015, Technical University of Dresden, Germany 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 Bedeutung von Interoperabilität und Standards...

Morris Riedel Publications

Publications – Overview

Book Chapters Peer-reviewed Publications by the World’s most respected Academic Publishers Riedel, M.: e-Science Infrastructure Interoperability Guide: The Seven Steps Toward Interoperability for e-Science, Springer Book Series Computer Communications and Networks, Guide to e-Science – Next Generation Scientific Research and Discovery, 2011, pp. 233-264, ISBN 978-0-85729-439-5 [ BOOK SERIES ] [ DOI ] [ JUSER ] [ RESEARCHGATE ] Streit, A., Erwin, D., Lippert, T., Mallmann, D., Menday, R., Rambadt, M., Riedel, M., Romberg, M., Schuller, B., Wieder, P.: UNICORE – From Project Results to Production Grids, Elsevier Book Series Advances in Parallel Computing, Vol 14, 2005, pp. 357-376, ISBN...

Morris Riedel Service 0

Service – Overview

Organisation of International Scientific Conferences Topic Chair Data Management, Analytics and Deep Learning 25th Euro-Par Conference, August 26-30, 2019, Goettingen, Germany [ Web Page ] Program Committee Member 8th IEEE International Conference on Big Data and Cloud Computing (BDCloud 2018), December 11-13, 2018, Melbourne, Australia [ Web Page ] Program Committee Member 9th Workshop on Sustainable Software for Science: Practice and Experiences (WSSSPE 2018), held in conjunction with the 14th IEEE International Conference on e-Science (e-Science 2018), October 29 – November 1st, 2018, Amsterdam, the Netherlands [ Web Page ] Program Committee Member 14th International Workshop on Scheduling and Resource...

Morris Riedel Theses 0

Theses – Overview

Theses Proposals I’m always open to proposals for bachelor, master, or doctoral thesis topics that are along the lines of my research interests. Feel free to contact me for details. Doctoral Theses [In Progress] Deep Learning Application Co-Design on Innovative HPC Architectures Ernir Erlingsson, Doctoral Thesis University of Iceland, School of Engineering and Natural Sciences (SENS), Iceland Phd student @ernire Ernir Erlingsson of @Haskoli_Islands alongside other data-driven & HPC application specialists explain technology experts at the @DEEPprojects F2F meeting how to take advantage of the modular supercomputing concept implemented by @fzj_jsc pic.twitter.com/aby8UE95l9 — Morris Riedel (@MorrisRiedel) May 8, 2018 Today...

Morris Riedel Media 0

Media – Overview

2017 Invited Tutorial – Introduction to Machine Learning Algorithms Morris Riedel Ghent University, six lectures including exercises 2017-11-23 – 2017-11-24 [ Event ] Lecture 1 – Machine Learning Fundamentals Lecture 2 – Unsupervised Clustering and Applications Lecture 3 – Supervised Classification and Applications Lecture 4 – Classification Challenges and Solutions Lecture 5 – Regularization and Support Vector Machines Lecture 6 – Validation and Parallelization Benefits

Morris Riedel Biography 0

Biography

Biography Executive Summary Prof. Dr. – Ing. Morris Riedel is an Adjunct Associate Professor at the School of Engineering and Natural Sciences of the University of Iceland. He received his PhD from the Karlsruhe Institute of Technology (KIT) and works in parallel and distributed systems since 15 years. He previously held various positions at the Juelich Supercomputing Centre of Forschungszentrum Juelich in Germany. At this institute, he is also the head of a specific scientific research group focused on ‘High Productivity Data Processing’ and a cross-sectional team ‘Deep Learning’. Professional Networks and Associations Institute of Electrical and Electronics Engineers (IEEE)...

Morris Riedel AI in Cancer Research 0

AI in Cancer Research

AI in Cancer Research Online Links Nature Research: Big Data takes on Cancer [ MORE ] Extracts new meaning from large clinical and molecular datasets using machine learning and data science technologies Explains that people that did not studied cancer can make a difference as Artificial Intelligence (AI) researcher Suggests that algorithmic AI models could extract more insights from the clinical records Discusses how machine learning could detect tumours at an earlier stage and offer personalized treatment recommendations Parse patient medical reports and develops new deep learning methods to interpret diagnostic images Implements one tool for clinical practice as a...

Morris Riedel Helmholtz Artificial Intelligence Cooperation Unit 0

Helmholtz Artificial Intelligence Cooperation Unit

Helmholtz Artificial Intelligence Cooperation Unit (HAICU) HAICU Official Web Page HAICU Web Page [ MORE ] Social Media F. Theis @fabian_theis starts our @helmholtz_de @helmholtz_en Artificial Intelligence Cooperation Unit @helmholtz_ai https://t.co/HO07ifLoYb event & T. Dickscheid explains modular supercomputing by @fzj_jsc @fz_juelich @DEEPprojects @Haskoli_Islands – see: https://t.co/mRRewnhlxq pic.twitter.com/aMpGRn9o1N — Morris Riedel (@MorrisRiedel) April 12, 2019

Morris Riedel Acute Respiratory Distress Syndrome 0

Acute Respiratory Distress Syndrome

Acute Respiratory Distress Syndrome (ARDS) Smart Medical Information Technology for Healthcare (SMITH) Project SMITH Project Web Page [ MORE ] Online Links Eazzy Medicine on ARDS [ MORE ] Selected ARDS Facts Also called noncardiogenic pulmonary edema Selected Pulmonary Edema Facts Acute medical emergency due to an increase in pulmonary capillary venous pressure Leads to fluid in the alveoli usually due to acute left ventricular failure Selected Pulmonology Facts Pulmonology is considered a subspecialty of internal Medicine related to lungs A pulmonologist is a medical doctor that has specialized knowledge and skill in the diagnosis and treatment of conditions and...

Morris Riedel DBSCAN 0

DBSCAN

DBSCAN Parallel & Scalable DBSCAN Goetz, M., Bodenstein, C., Riedel, M.: HPDBSCAN – Highly Parallel DBSCAN, in conference proceedings of ACM/IEEE International Conference for High Performance Computing, Networking, Storage, and Analysis (SC 2015), Machine Learning in HPC Environments (MLHPC 2015) Workshop, November 15-20, 2015, Austin, Texas, USA [ EVENT ] [ DOI ] [ JUSER ] [ RESEARCHGATE ] [ MORE ] DBSCAN Applications Bodenstein, C., Goetz, M., Jansen, A., Scholz, H., Riedel, M.: Automatic Object Detection using DBSCAN for Counting Intoxicated Flies in the FLORIDA Assay, in conference proceedings of the 15th IEEE International Conference on Machine Learning and...

Deutscher Bundestag Impulsvortrag Kuenstliche Intelligenz Morris Riedel 0

Deutscher Bundestag Impulsvortrag Kuenstliche Intelligenz

Deutscher Bundestag Impulsvortrag Kuenstliche Intelligenz Deutscher Bundestag, Enquete-Kommission ‘Kuenstliche Intelligenz’ Berlin, Germany 2019-03-11 [ Slides ~4.86 MB (pdf) ] [ EVENT ] [ PRESS ] Video of my talk @ Deutscher Bundestag German federal parliament now at https://t.co/dcqT15JYPY discussing among #ArtificialIntelligence experts HAICU @helmholtz_en SMITH, ON4OFF & Modular Supercomputing by @DEEPprojects @fzj_jsc @fz_juelich @uisens @uni_iceland @Haskoli_Islands pic.twitter.com/YSzWHtpmru — Morris Riedel (@MorrisRiedel) March 21, 2019 Invited talk at Deutscher Bundestag – the German federal parliament – presenting artificial intelligence chances with examples of SMITH, ON4OFF & Modular Supercomputing by @DEEPprojects @fzj_jsc @fz_juelich @uisens @uni_iceland @Haskoli_Islands – talk at: https://t.co/xCDitaxS71 pic.twitter.com/S5VkSRacRQ —...

Morris Riedel Retail Analytics 0

Retail Analytics

Retail Analytics Kuenstliche Intelligenz Links (German Language) Strategie Künstliche Intelligenz der Bundesregierung, November 2018 [ MORE ] ON4OFF EU EFRE Project ON4OFF Team @PieperBeauty @paluno_se @adessoAG @INtelegenceGmbH @fz_juelich & ProXperts discuss with @ProfHeinemann using #ArtificialIntelligence in #Retail via #NLP & #ModularSupercomputing by @DEEPprojects @fzj_jsc @Haskoli_Islands @uisens @uni_iceland – https://t.co/xal4kRdWcy pic.twitter.com/kPIvhOQp5a — Morris Riedel (@MorrisRiedel) March 20, 2019 ON4OFF Project Team @paluno_se @adessoAG @INtelegenceGmbH @fz_juelich & ProXperts discuss with @ProfHeinemann selected #Retail use cases for @PieperBeauty using #MachineLearning & #DeepLearning with Modular Supercomputing driven by @fzj_jsc @Haskoli_Islands @uisens @uni_iceland pic.twitter.com/a5HtTTY4nb — Morris Riedel (@MorrisRiedel) March 7, 2019 ON4OFF Project Team @adessoAG...

2019-02-25 PRACE Tutorial Parallel and Scalable Machine Learning Morris Riedel 0

PRACE Tutorial – Parallel and Scalable Machine Learning

PRACE Tutorial: Parallel and Scalable Machine Learning Invited Tutorial PRACE Advanced Training Center, Juelich Supercomputing Centre, Germany 2019-02-25 – 2019-02-27 [ EVENT ] Lecture 1 – Parallel and Scalable Machine Learning driven by HPC (pdf, ~9,97 MB) Lecture 2 – Introduction to Machine Learning Fundamentals – Theory (pdf, ~12,9 MB) Lecture 3 – Introduction to Machine Learning Fundamentals – Practice (Jupyter Notebooks – request resources contacting m.riedel@morrisriedel.de) [Martin Schultz] Lecture 4 – Feed Forward Neural Networks (Jupyter Notebooks – request resources contacting m.riedel@morrisriedel.de) [Martin Schultz] Lecture 5 – Feed Forward Neural Networks (Jupyter Notebooks – request resources contacting m.riedel@morrisriedel.de) Lecture...