Prof. Dr. - Ing. Morris Riedel

Prof. Dr. - Ing. Morris Riedel

Morris Riedel 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

  1. [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 ]
  2. [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
    [ MORE ]
  3. [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
    [ MORE ]
  4. [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
    [ MORE ]

Doctoral Theses Completed

  1. [Completed] Automated Data Processing and Analysis with Scalable and Distributed Computing
    Mohammad Shahbaz Memon, Doctoral Thesis
    University of Iceland, School of Engineering and Natural Sciences (SENS), Iceland, 2019
    [ MORE ]
  2. [Completed] Scalable Data Analysis in High Performance Computing
    Markus Goetz, Doctoral Thesis
    University of Iceland, School of Engineering and Natural Sciences (SENS), Iceland, 2017
    [ MORE ]
  3. [Completed] Spectral-Spatial Classification of Remote Sensing Optical Data with Morphological Attribute Proles using Parallel and Scalable Methods
    Gabriele Cavallaro, Doctoral Thesis
    University of Iceland, School of Engineering and Natural Sciences (SENS), Iceland, 2016
    [ MORE ]

Master Theses

[In Progress] Power Plant Time Series Data Validation comparing Traditional Approaches with Long Short-Term Memory Models
Guðmundur Smári Guðmundsson, Master Thesis
University of Iceland, School of Engineering and Natural Sciences (SENS), Iceland

Interesting meeting at @landsvirkjun national power company of Iceland discussing a master thesis using deep learning via Long Short-Term Memory models of time series energy data & Modular Supercomputing driven by @DEEPprojects @Haskoli_Islands @fzj_jsc @fz_juelich @helmholtz_de pic.twitter.com/3wlum1JhYx

— Morris Riedel (@MorrisRiedel) August 30, 2018

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Contact

Juelich Supercomputing Centre
Email: m.riedel[at]fz-juelich.de
Phone: +49 2461 61 – 3653

University of Iceland
Email: morris[at]hi.is

ORCID iD iconhttps://orcid.org/0000-0003-1810-9330

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