Prof. Dr. - Ing. Morris Riedel

2020-02-17 PRACE Tutorial Parallel and Scalable Machine Learning Introduction Morris Riedel 0

Teaching

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...

Morris Riedel Biography 0

Biography

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...

Morris Riedel Teaching 0

Teaching

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...

Morris Riedel Research 0

Research

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 Publications

Publications

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...

Morris Riedel Service 0

Service

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 The 21st IEEE International Conference on High Performance Computing and Communications (HPCC-2019), August 10-12, 2019, Zhangjiajie, China [ 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...

Morris Riedel Theses 0

Theses

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

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 utmessan conference 2020 0

Biography

UTMessan Conference 2020

UTMessan Conference 2020 February 08–09, 2020 Harpa Convention Center Reykjavik, Iceland Demo @UTmessan 2020 conference created by PhD student Ernir Erlingsson @ernire & informing the society of #DeepLearning chances & risks @DEEPprojects @fz_juelich @fzj_jsc @Haskoli_Islands @uni_iceland @uisens @helmholtz_ai @ernire .more of #UTmessan: https://t.co/FKMt1jsTtY. pic.twitter.com/cTRR2vs8nz — Morris Riedel (@MorrisRiedel) February 10, 2020 Scenes from our booth in Reykjavik, @UTmessan, where we presented the @DEEPprojects and our university's involvement @uni_iceland @Haskoli_Islands @uisens (my supervisor always has the best T-shirts).#UTmessan pic.twitter.com/4wkbgjoWE2 — Ernir Erlingsson (@ernire) February 8, 2020 Sieh dir diesen Beitrag auf Instagram an Morris Riedel, nýráðinn lektor í HÍ, talar um...

2020-02-07 Demystifying Quantum Computing Morris Riedel 0

Talks

Demystifying Quantum Computing

Demystifying Quantum Computing UTmessan – Icelandic IT Conference Harpa, Reykjavik, Iceland 2020-02-07 [ Slides ~26.4 MB (pdf) ]

2020-01-30 ON4OFF Status Kuenstliche Intelligenz Morris Riedel 0

Talks

ON4OFF – Status Kuenstliche Intelligenz

ON4OFF – Status Kuenstliche Intelligenz ON4OFF Partner Meeting, German Language In-Telegence, Koeln, Germany 2020-01-30 [ Slides ~10.1 MB (pdf) ] Last week #ON4OFF project meeting: PhD Student Chadi Barakat explains how #DeepLearning & RESNET-50 identifies shapes of perfume bottles – customers in retail ask for it @DEEPprojects @fzj_jsc @fz_juelich @Haskoli_Islands @uisens @helmholtz_ai.slides: https://t.co/xAzhQuDONu. pic.twitter.com/Ur9ukDDTLE — Morris Riedel (@MorrisRiedel) February 6, 2020 Sieh dir diesen Beitrag auf Instagram an Last week #ON4OFF project meeting: PhD Student Chadi Barakat explains how #DeepLearning & RESNET-50 identifies shapes of perfume bottles – customers in retail ask for it DEEP projects #julichsupercomputingcenter @forschungszentrum_juelich @haskoli_islands @von_hi...

2020-01-20 Artificial Intelligence Data Analysis School for Heliophysicists Morris Riedel 0

Teaching

Artificial Intelligence Data Analysis School for Heliophysicists

Artificial Intelligence Data Analysis School for Heliophysicists Invited Training Course organized by the EC Project Artificial Intelligence Data Analysis (AIDA) CINECA, Bologna, Italy 2020-01-20 – 2020-01-22 [ EVENT ] Materials [ Lecture 1: Introduction and Differences between AI, ML, NN, and Big Data – Slides ~10.2 MB (pdf) ] [ Lecture 2: Unsupervised Learning – Clustering – Slides ~7.08 MB (pdf) ] [ Lecture 3: Unsupervised Learning – Computing – Slides ~10.2 MB (pdf) ] [ Lecture 4: Supervised Learning – Multi-Class Classification and Generalization – Slides ~8.99 MB (pdf) ] [ Lecture 5: Supervised Learning – Artificial Neural Networks...

Morris Riedel Cloud Computing 0

Research

Cloud Computing

Cloud Computing Gaia-X Cloud Official English Material