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amr.abourayya@ini.rub.de (+49) 234-32-24201

Amr Abourayya, M.Sc.

Trustworthy Machine Learning

Ruhr-Universität Bochum
Institut für Neuroinformatik
Universitätsstraße 150
Building NB, Room NB 02/73

D-44801 Bochum, Germany

amr.abourayya@ini.rub.de

(+49) 234-32-24201

https://www.linkedin.com/in/amrusama/

Since I was a little kid, mathematics and programming have been my passion. I still remember sitting in front of my XP operating system computer, with Visual Basic opened in, making it print "Hello, Amr" for the very first time. It was almost magic, being able to get the computer to do whatever I wanted, just by typing in these funny little symbols, limited only by my own imagination and ingenuity.

Since that time, I finished high school in mathematics with a grade 99% then I hold a BSc in civil engineering with a graduation thesis focused on developing software to calculate the natural frequencies and draw the mode of shapes of high-rise buildings. Recently, I finished a double master's degree program in mathematics and programming with a thesis focused on implementing a deep neural network to solve nonlinear stiff ODE systems faster than the normal traditional solver.

Currently, I am a PhD student at IKIM ( Institute for Artificial Intelligence in Medicine) and a Member of the Trustworthy Machine Learning research group. My current work is developing /investigating novel approaches to privacy-preserving federated learning healthcare applications.

Selected Publications

    2022

  • AIMHI: Protecting Sensitive Data through Federated Co-Training
    Abourayya, A., Kamp, M., Ayday, E., Kleesiek, J., Rao, K., Webb, G. I., & Rao, B.
    In FL-NeurIPS 2022)

    • 2021

  • Artificial Neural Networks Implementation to Predict the Solution of Nonlinear ODE System for the Application to Turbulent Combustion Modeling
    Abourayya, A.
    Master’s thesis, TU Wien
    link

    • 2018

  • Unveiling CO adsorption on Cu surfaces: new insights from molecular orbital principles
    Gameel, K. M., Sharafeldin, I. M., Abourayya, A. U., Biby, A. H., & Allam, N. K.
    Physical Chemistry Chemical Physics, 20(40), 25892–25900

    2022

  • AIMHI: Protecting Sensitive Data through Federated Co-Training
    Abourayya, A., Kamp, M., Ayday, E., Kleesiek, J., Rao, K., Webb, G. I., & Rao, B.
    In FL-NeurIPS 2022)

    • 2021

  • Artificial Neural Networks Implementation to Predict the Solution of Nonlinear ODE System for the Application to Turbulent Combustion Modeling
    Abourayya, A.
    Master’s thesis, TU Wien
    link

    • 2018

  • Unveiling CO adsorption on Cu surfaces: new insights from molecular orbital principles
    Gameel, K. M., Sharafeldin, I. M., Abourayya, A. U., Biby, A. H., & Allam, N. K.
    Physical Chemistry Chemical Physics, 20(40), 25892–25900

    • 2017

  • Theoretical and DFT Analysis of the CO Adsorption Mechanism Late Transition Metal Surfaces
    Abourayya, A., Gameel, K. M., Sharafeldin, I. M., Biby, A. H., & Allam, N. K.
    NanoWorld Conference, Bosten, USA

About the INI

The Institut für Neuroinformatik (INI) is a central research unit of the Ruhr-Universität Bochum. We aim to understand the fundamental principles through which organisms generate behavior and cognition while linked to their environments through sensory systems and while acting in those environments through effector systems. Inspired by our insights into such natural cognitive systems, we seek new solutions to problems of information processing in artificial cognitive systems. We draw from a variety of disciplines that include experimental approaches from psychology and neurophysiology as well as theoretical approaches from physics, mathematics, electrical engineering and applied computer science, in particular machine learning, artificial intelligence, and computer vision.

Contact

Universitätsstr. 150, Building NB, Room 3/32
D-44801 Bochum, Germany

Tel: (+49) 234 32-28967
Fax: (+49) 234 32-14210

sekretariat@ini.rub.de
www.ini.rub.de