Prof. Dr. - Ing. Morris Riedel

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 [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 [ MORE ] [In Progress] Design and Evaluation of a Joint Model of Service Access including Service Discovery and Federated Identity Management in e-infrastructures Ahmed Shiraz Memon, Doctoral Thesis University of Iceland, School of Engineering and Natural Sciences (SENS), Iceland [...

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 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 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 Teaching 0

Teaching

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, REI504M, School of Engineering and Natural Sciences, University of Iceland, Iceland, Fall 2020 [ MORE ] 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:...

Morris Riedel Service 0

Service

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...

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

Rocco Sedona 0

Theses

Rocco Sedona

Doctoral Student Rocco Sedona [In Progress] Investigation on Machine and Deep Learning Methods using Large Quantities of Remote Sensing Data Rocco Sedona, Doctoral Thesis University of Iceland, School of Engineering and Natural Sciences (SENS), Iceland

Chadi Barakat 0

Theses

Chadi Barakat

Doctoral Student Chadi Barakat [In Progress] Investigation on Machine and Deep Learning Methods in Medicine and Retail Chadi Barakat, Doctoral Thesis University of Iceland, School of Engineering and Natural Sciences (SENS), Iceland

Ahmed Shiraz Memon 0

Theses

Ahmed Shiraz Memon

Doctoral Student Ahmed Shiraz Memon [In Progress] Design and Evaluation of a Joint Model of Service Access including Service Discovery and Federated Identity Management in e-infrastructures Ahmed Shiraz Memon, Doctoral Thesis University of Iceland, School of Engineering and Natural Sciences (SENS), Iceland Final Lecture 16 – Epilogue of Big Data & Cloud Computing course at @Haskoli_Islands @uni_iceland @uisens @fzj_jsc @fz_juelich & job review & invited lecture of phd student Shiraz Memon on European Open Science Cloud @EOSC_eu @eoscpilot @EoscPortal slides: https://t.co/NM29spbtaV pic.twitter.com/eVil8RCAgn — Morris Riedel (@MorrisRiedel) December 2, 2018 Lectures (from Sep 2019 – today) Plenary Lecture or Keynote Address...

Ernir Erlingsson 0

Theses

Ernir Erlingsson

Doctoral Student Ernir Erlingsson [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 [ PERSONAL WEB PAGE ] 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 I’ll be presenting how we’ll use the @DEEPprojects modular supercomputing architecture to enhance deep learning #EASC18 @MorrisRiedel pic.twitter.com/JfveJWHV9l — Ernir Erlingsson (@ernire) April...

2020 Cloud Computing and Big Data Course Outline 0

Teaching

Cloud Computing and Big Data – Course Fall 2020

Cloud Computing and Big Data – Course Fall 2020 Parallel & Scalable Machine Learning & Deep Learning 16 university lectures with additional practical lectures for hands-on exercises in context University of Iceland, School of Engineering and Natural Sciences Faculty of Industrial Engineering, Mechanical Engineering and Computer Science Fall 2020 Lecture 0 – Prologue Slides PDF (9,90 MB) Lecture 0 – Prologue – Recording Part 1 Lecture 0 – Prologue – Recording Part 2 Teaching Lecture 0 – Prologue of #CloudComputing & #BigData – Parallel & Scalable #MachineLearning & #DeepLearning Course @Haskoli_Islands @uni_iceland @uisens . slides: https://t.co/gCCeXpZM0v@DEEPprojects @fzj_jsc @fz_juelich @helmholtz_ai @EOSC_Nordic...

2020-07-02 ON4OFF Demo Collaborative Filtering Singular Value Decomposition (SVD) Example Morris Riedel 0

Talks

ON4OFF Demo Collaborative Filtering – Singular Value Decomposition (SVD) Example

ON4OFF Demo Collaborative Filtering – Singular Value Decomposition (SVD) Example Online Webinar ON4OFF Project Meeting 2020-07-02 [ Slides ~2.95 MB (pdf) ] [ Jupyter Notebook and Movie Rental Demo Datasets ~3.82 KB (zip) ] Talk & Live demo of recommender systems & collaborative filtering @ProjectJupyter @fzj_jsc @fz_juelich – #ON4OFF online meeting @PieperBeauty @adesso_SE @DEEPprojects @Haskoli_Islands @uni_iceland @uisens @helmholtz_ai . slides & Jupyter notebook & data: https://t.co/Ui3V4ex8VN . pic.twitter.com/89860BJjN8 — Morris Riedel (@MorrisRiedel) July 3, 2020 Talk & Live demo of recommender systems & collaborative filtering Jupyter Jülich Supercomputing Centre Forschungszentrum… Posted by Morris Riedel on Friday, July 3, 2020 Sieh dir...