Morris Riedel Markov Chain 0

HDS-LEE Lectures on Data Science: Neural Networks & Deep Learning

Lecture 1 – Introduction to Machine Learning and Perceptron Learning Model Slides PDF (8,49 MB) Lecture 2 – Artificial Neural Network Learning Model and Backpropagation Slides PDF (9,49 MB) Lecture 3 – Deep Learning and Convolutional Neural Network Learning Model Slides PDF (14,3 MB) Practical Lecture 4 – Using Artificial Neural Networks and Convolutional Neural Networks Slides PDF (4,23 MB) Practical Lecture 4 – Using Artificial Neural Networks and Convolutional Neural Networks – Notebooks ZIP (3,71 MB)

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 [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 [...

Rocco Sedona 0

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 Lectures (given by R. Sedona since Ph.D. Studies Start 2019-04-01) Plenary Lecture or Keynote Address at an International Academic Conference none Public Guest Lecture at a University outside of Iceland none Lecture at an International Conference SCALING UP A MULTISPECTRAL RESNET-50 TO 128 GPUS, paper presentation, 2020 IEEE International Geoscience and Remote Sensing Symposium (IGARSS), September 26 – October 2, 2020, Virtual Symposium [ EVENT...

Chadi Barakat 0

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 Lectures (given by C. Barakat since Ph.D. Studies Start 2019-08-01) Plenary Lecture or Keynote Address at an International Academic Conference none Public Guest Lecture at a University outside of Iceland none Lecture at an International Conference none Lecture at a Domestic Conference none Lecture at an Academic Symposium, Seminar or Forum for Academic Groups Status Machine Learning in ON4OFF, presentation, ON4OFF Project Meeting, 2020, August 13, Virtual Meeting...

Morris Riedel Biography 0

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 – 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 – 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...

Ahmed Shiraz Memon 0

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 2015 – today) Plenary Lecture or Keynote Address...

Ernir Erlingsson 0

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...