Mr Nour Eldin Alaa Badr

Research project: Deep fake detection for Human Faces


Social media are playing a big role nowadays in everyone's life. A lot of young people use it to share their daily life on social media besides people get news from social media, which makes it a good target for manipulation and spreading false news or rumors. Deep fake is one technique of video manipulation that helps in spreading false news. It can be a video of someone spreading rumors. These manipulated videos need to be detected to be stopped.

The purpose of this project is to prevent the spread of these misleading synthetic images/videos by developing an effective new model to detect forged images/videos, i.e. Deep fakes in social media.


I am currently a Ph.D. student working on detecting deep fake images/videos. My research mainly focuses on building and creating new, effective, and generalized deep learning models that can detect deep fake images/videos, whatever their source that can work accurately in real-world applications. As I have the ambition to create my startup in the future, I am also an MBA student so I will be in the best possible position to exploit the research produced during my Ph.D. Furthermore, I work as a Python instructor during the evening.

Previously, I completed my master's thesis project as an intern at a well-known German research institute "Fraunhofer Institute IGD". There, I researched techniques, to prevent fraudsters from taking someone's identity in applications where access is provided through face recognition. In parallel, I worked as a research assistant specializing in operational research at another German research institute "Center for Applied Data Science Guetersloh".

Areas of research interest

  • Computer Vision
  • Deep Learning
  • Machine Learning
  • Data Science
  • Operation Research
  • Entrepreneurship
  • Business Administration


  • B.Sc in Electrical and Computer Engineering, HTI, Cairo, Egypt.
  • M.Sc in Intelligent Systems, Bielefeld university, Germany.

Funding or awards received

  • Kingston University PhD Starter Bursary, 2023.
  • Public Engagement Award (Scientific Blogs section), 2023.
  • German Academic Exchange Service (DAAD) Master's Thesis Scholarship, 2021/2022.
  • Best Bachelor Grade (GPA) Award ( Percentage of 97.30%), 2016.


  • A Memetic Algorithm With Reinforcement Learning for Sociotechnical Production Scheduling


Jump to: Article
Number of items: 1.


Grumbach, Felix, Badr, Nour Eldin Alaa, Reusch, Pascal and Trojahn, Sebastian (2023) A memetic algorithm with reinforcement learning for sociotechnical production scheduling. IEEE Access, 11, pp. 68760-68775. ISSN (online) 2169-3536

This list was generated on Wed Apr 17 05:40:01 2024 BST.