Association Rule Mining
Association Rule Mining Apriori Algorithm ON4OFF Demo Association Rule Mining – Apriori Example [ MORE ]
Teaching – Overview
Teaching Experience Adjunct Lecturer, Lecturer, Senior Lecturer or Professor University Course: High Performance Computing – Advanced Scientific Computing, REI105M, School of Engineering and Natural Sciences, University of Iceland, Iceland, Fall 2019 [ MORE ] University Course: Cloud Computing and Big Data – Parallel and Scalable Machine Learning and Deep Learning, REI504M, School of Engineering and Natural Sciences, University of Iceland, Iceland, Fall 2018 [ MORE ] University Course: High Performance Computing – Advanced Scientific Computing, REI105M, School of Engineering and Natural Sciences, University of Iceland, Iceland, Fall 2017 [ MORE ] University Course: Cloud Computing and Big Data – Internet-based...
Biography
Biography Executive Summary Prof. Dr. – Ing. Morris Riedel is an 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) is...
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...
Publications – Overview
Theses Candidate’s or Master’s thesis Riedel, M.: Design and Evaluation of a Collaborative Online Visualization and Steering Framework for e-Science Application in Grids, Master Thesis (2007), University of Hagen, Berichte des Forschungszentrum Juelichs, 2007 [ JUSER ] Riedel, M.: Prospects and Realization of Flexible Service Offers in a Grid Environment, Diploma Thesis (2004), University of Applied Sciences Cologne, Berichte des Forschungszentrum Juelichs, 2004 (Note: 6-month diploma theses are the German pre-Bologna equivalent of master’s theses) [ JUSER ] Doctoral thesis Riedel, M.: Design and Applications of an Interoperability Reference Model for Production e-Science Infrastructures, PhD Thesis (2012), Karlsruhe Institute of...
Service – Overview
Organisation of International Scientific Conferences Topic Chair Data Management, Analytics and Deep Learning 26th Euro-Par Conference, August 24-28, 2020, Warsaw, Poland [ Web Page ] Program Committee Member 1st International Workshop on the Application of Machine Learning Techniques to Computational Fluid Dynamics Simulation and Analysis (CFDML 2020), held in conjunction with the International Supercomputing Conference (ISC 2020), June 25, 2020, Frankfurt, Germany [ Web Page ] Topic Chair Data Management, Analytics and Deep Learning 25th Euro-Par Conference, August 26-30, 2019, Goettingen, Germany [ Web Page ] Program Committee Member The 21st IEEE International Conference on High Performance Computing and Communications...
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...
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
Extending the Collaborative Online Visualization and Steering Framework for Computational Grids with Attribute-based Authorization
Extending the Collaborative Online Visualization and Steering Framework for Computational Grids with Attribute-based Authorization Riedel, M., Frings, W., Habbinga, S., Eickermann, Th., Mallmann, D., Streit, A., Wolf, F., Lippert, Th., Ernst, A., Spurzem, R., in Proceedings of the 9th IEEE/ACM International Conference on Grid Computing (Grid 2008), September 29 – October 1, 2008, Tsukuba, Japan [ EVENT ] [ DOI ] [ JUSER ] [ RESEARCHGATE ] Abstract: Especially within Grid infrastructures driven by high-performance computing (HPC), collaborative online visualization and steering (COVS) has become an important technique to dynamically steer the parameters of a parallel simulation or to just...
Classification of Different Approaches for e-Science Applications in Next Generation Computing Infrastructures
Classification of Different Approaches for e-Science Applications in Next Generation Computing Infrastructures Riedel, M., Streit, A., Wolf, F., Lippert, Th., Kranzlmueller, D., in conference proceedings of 4th IEEE Conference on e-Science (e-Science 2008), December 7-12, 2008, Indianapolis, USA [ EVENT ] [ DOI ] [ JUSER ] [ RESEARCHGATE ] Abstract: Simulation and thus scientific computing is the third pillar alongside theory and experiment in todays science and engineering. The term e-science evolved as a new Research field that focuses on collaboration in key areas of science using next generation infrastructures to extend the powers of scientific computing. This paper...
ON4OFF Demo Association Rule Mining – Apriori Example
ON4OFF Demo Association Rule Mining – Apriori Example Online Webinar ON4OFF Project Meeting 2020-04-24 [ Slides ~2.22 MB (pdf) ] [ Jupyter Notebook and Retail Demo Datasets ~3.82 KB (zip) ] Talk & Live demo of association rule mining on shopping data via Jupyter & Python at #ON4OFF online project meeting – @adesso_SE @DEEPprojects @fzj_jsc @fz_juelich @Haskoli_Islands @uni_iceland @uisens @helmholtz_ai.slides & Jupyter notebook & data: https://t.co/xdQnhC7MfN.. pic.twitter.com/ayVW52fqzd — Morris Riedel (@MorrisRiedel) April 28, 2020 Sieh dir diesen Beitrag auf Instagram an Talk & Live demo of association rule mining on shopping data via Jupyter & Python at #ON4OFF online project...
Euro-Par Conference 2020
Euro-Par Conference 2020 August 24–28, 2020 Virtual Conference [ EVENT ] @euro_par 2020 Conference goes virtual – As global chair of Topic 5 #Datamanagement #DataAnalytics #MachineLearning & chairs meeting news: Track 5 will be held online https://t.co/iqgmVLFUYt.@fzj_jsc @Haskoli_Islands @uisens @uni_iceland @DEEPprojects @helmholtz_ai @fz_juelich pic.twitter.com/4d6QyEycYp — Morris Riedel (@MorrisRiedel) April 22, 2020 Sieh dir diesen Beitrag auf Instagram an Euro-Par 2020 Conference goes virtual – As global chair of Topic 5 #Datamanagement #DataAnalytics #MachineLearning & chairs meeting news: Track 5 will be held online buff.ly/34TlENA . #julichsupercomputingcenter @haskoli_islands @von.hi DEEP Projects @helmholtz.ai @forschungszentrum_juelich Ein Beitrag geteilt von Morris Riedel (@morrisriedel) am...
AI4EU
AI4EU AI4EU On-Demand Platform AI4EU On-Demand Platform Web Page [ MORE ] H2020 Call ICT-49-2020 – Artificial Intelligence on Demand Platform ICT-49-2020 – Artificial Intelligence on Demand Platform Call Web Page [ MORE ] Today's Webinar with a sneak peek behind the scenes on @AI4EU #EU #AI On-Demand Platform & funding ideas of #H2020 @EU_Commission ICT-49-2020 projects & Q&A on links to @helmholtz_ai @DEEPprojects @fzj_jsc @fz_juelich @Haskoli_Islands @uisens .details: https://t.co/z1KVIGBV2K pic.twitter.com/uMRMs7Jioo — Morris Riedel (@MorrisRiedel) April 8, 2020
Smart City
Smart City Allianz Smart City Dortmund (German Language) Allianz Smart City Dortmund Web Page [ MEHR ] 137 Allianzpartner – von mittelständischen Betrieben und Start-ups über wissenschaftliche Einrichtungen bis zum Global Player – wirken bei der Allianz Smart City Dortmund Aktiv mit und unterstützen damit die zukünftige Gestaltung der Stadt Dortmund und der Region. DOdata (German Language) DOdata Solutions Web Page [ MEHR ] DOdata – Partner für maßgeschneiderte Daten- und Internet of Things-Lösungen DOdata versteht sich als DataHub und Dienstleister für die zukünftige SmartCity Dortmund. Die Dortmunder Energie- und Wasserversorgung GmbH (DEW21) unterstützt die Entwicklung zur SmartCity von Beginn...
AI in International Activities
AI in International Activities NSF 2020 Workshop on Smart Cyberinfrastructures Grand Hyatt Hotel Crystal City, Arlington, USA 2020-02-25 – 2020-02-27 [ EVENT ] [ Slides ~16.8 MB (pdf) ] Talk on International #AI Activities @NSF Smart CyberInfrastructures workshop mentioning @helmholtz_ai @AI4EU & Joint #ArtificialIntelligence Machine Learning Lab (JoAIML) @DEEPprojects @fzj_jsc @fz_juelich @Haskoli_Islands @uisens.Talk available at: https://t.co/afMdl7rzxK. pic.twitter.com/dlqg8KjOOD — Morris Riedel (@MorrisRiedel) February 29, 2020 Sieh dir diesen Beitrag auf Instagram an Talk on International #AI Activities @nsfgov Smart CyberInfrastructures workshop mentioning @helmholtz.ai AI4EU & Joint #ArtificialIntelligence Machine Learning Lab (JoAIML) DEEP Projects @forschungszentrum_juelich #julichsupercomputingcenter @haskoli_islands @verkfraedi_og_natturuvisindi . Talk available at:...
PRACE Tutorial: Parallel and Scalable Machine Learning – Introduction
PRACE Tutorial: Parallel and Scalable Machine Learning – Introduction Invited Tutorial PRACE Advanced Training Center, Juelich Supercomputing Centre, Germany 2020-02-17 – 2020-02-19 [ EVENT ] Lecture 1 – Parallel and Scalable Machine Learning driven by HPC (pdf, ~14,3 MB) Lecture 2 – Introduction to Machine Learning Fundamentals (pdf, ~5,58 MB) Lecture 3 – Supervised Learning with a Simple Learning Model (pdf, ~8,05 MB) Lecture 4 – Artificial Neural Networks – ANNs (pdf, ~2,73 MB) [Gabriele Cavallaro] Lecture 5 – Introduction to Statistical Learning Theory (pdf, ~2,73 MB) Lecture 6 – Validation and Regularization (pdf, ~5,97 MB) Lecture 7 – Pattern...