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


Chadi Barakat

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

  1. Design and Evaluation of an HPC-based Expert System to speed-up Retail Data Analysis using Residual Networks Combined with Parallel Association Rule Mining and Scalable Recommenders, 44th IEEE International Convention on Information and Communication Technology, Electronics and Microelectronics (MIPRO 2021), October 1, 2021, Opatija, Croatia
    [ Slides ~0.99 MB (pdf) ]
  2. An HPC-Driven Data Science Platform to Speed-up Time Series Data Analysis of Patients with the Acute Respiratory Distress Syndrome, 44th IEEE International Convention on Information and Communication Technology, Electronics and Microelectronics (MIPRO 2021), September 29, 2021, Opatija, Croatia
    [ Slides ~0.78 MB (pdf) ]
Lecture at a Domestic Conference


  • Simulation and Data Lab – Health and Medicine, 3rd Icelandic HPC Community Workshop, December 15, 2021, University of Iceland, Groska, Room Ada, Reykjavik, Iceland
    [ Slides ~2.78 MB (pdf) ]


  • Lecture at an Academic Symposium, Seminar or Forum for Academic Groups

    1. Virtual Patient Model Optimisation and Parallelisation, presentation, RWTH Aachen University Science Day, 2021, December 22, Virtual
      [ Slides ~1.60 MB (pdf) ]
    2. Big Data Analytics and Cloud Data Mining, presentation, University of Iceland, 2021, November 2, Virtual
      [ Slides ~4.43 MB (pdf) ]
    3. Design and Evaluation of Parallel and Scalable Machine Learning Applications in Biomedical Modelling Applications, presentation, PHD Mid-Term Evaluation Seminar, The University of Iceland, Groska, 2021, December 16
      [ Slides ~4.39 MB (pdf) ]
    4. Smart Medical Information Technology for HealthCare (SMITH) Virtual Patient Model Optimisation and Parallelisation, presentation, SMITH ASIC Seminar, 2021, November 17, Virtual
      [ Slides ~0.2 MB (pdf) ]
    5. Smart Medical Information Technology for HealthCare (SMITH) AG2 Update on Progress, presentation, SMITH ASIC Seminar, 2021, May 19, Virtual
      [ Slides ~0.88 MB (pdf) ]
    6. ON4OFF – Recommender Service Progress, presentation, ON4OFF Project Seminar, 2021, April 19, Virtual
      [ Slides ~0.74 MB (pdf) ]
    7. Recurrent Neural Networks for Multivariate Time Series with Missing Values, presentation, RWTH University of Aachen, 2021, April 6, Virtual
      [ Slides ~1.06 MB (pdf) ]
    8. HPC Applications in Health and Neurosciences, presentation, University of Iceland, 2021, March 15, Virtual
      [ Slides ~4.15 MB (pdf) ]
    9. Virtual Patient Simulator – Understanding the Warwick Model, presentation, Aachen Science Day 5, 2021, February 23, Virtual
      [ Slides ~1.44 MB (pdf) ]
    10. Smart Medical Information Technology for HealthCare (SMITH) AG2 Update, presentation, SMITH ASIC Seminar, 2021, February 10, Virtual
      [ Slides ~0.76 MB (pdf) ]

    11. Status Machine Learning in ON4OFF, presentation, ON4OFF Project Meeting, 2020, August 13, Virtual Meeting
    12. Ph.D. Studies of Chadi Barakat, presentation, Aachen Science Day 2, 2020, July 15, Virtual
      [ Slides ~0.12 MB (pdf) ]
    13. Application Co-Design of a Modular Computing Architecture for cellular BigBrain connecting the Canadian CBRAIN and German Supercomputing Infrastructures, presentation, HIBALL Project Seminar, Fourth BigBrain Workshop, 2020, June 26, Virtual Meeting
      [ Slides ~0.99 MB (pdf) ]
    14. Paper Presentation of Chadi Barakat, presentation, RWTH Aachen University Journal Club, 2020, May 11, Aachen, Germany
      [ Slides ~0.58 MB (pdf) ]
    15. Ph.D. Studies of Chadi Barakat, presentation, Aachen Science Day 1, 2020, April 30, Aachen, Germany
      [ Slides ~0.96 MB (pdf) ]
    16. Image Analysis in ON4OFF – Status, presentation, ON4OFF Project Meeting, 2020, February 18, Koeln, Germany
      [ Slides ~1.13 MB (pdf) ]
    17. Data Analysis and Machine Learning Update in SMITH – ASIC Use Case, presentation, ASIC SMITH Project Meeting, 2020, February 5, Duesseldorf, Germany
      [ Slides ~2.58 MB (pdf) ]
    18. Machine Learning in ON4OFF – Status, presentation, ON4OFF Project Meeting, 2019, December 5, Koeln, Germany
    19. Parallel and Scalable Machine Learning Update in SMITH – ASIC Use Case, presentation, ASIC SMITH Project Meeting, 2019, December 3, Duesseldorf, Germany

    Poster at an International Conference

    none

    Poster at a Domestic Conference

    none