Dr Ange ALY

Senior Lecturer

Digital, Tech, Innovation & Business

Dr Ange Aly is leading the MSc cyber security award as well as an active researcher in Artificial Intelligence and Machine Learning. Her main area of interest is the application of Physics-informed Machine Learning to Forensic and Cyber Security.

With over 10 years of experience in academia, I have been leading and delivering undergraduate and postgraduate cyber security, digital forensic and computer networking modules in the United Kingdom as well as China.

Currently, I am the course leader for the MSC cyber security award at Staffordshire University. I am teaching Cyber Security and Digital Forensic tools such as EnCase, Forensic Tool Kit imager, XAMN mobile forensic, Autopsy and network simulation tools such as Cisco Packet Tracer.

Last academic year, 2020/21, as a member of the Cyber Security teaching team, we have achieved 100% overall student satisfaction in the National Student Survey (NSS). I am a fellow of the Higher Education Academy (HEA). I have completed the Post Graduate Certificate (PGC) in Teaching in

Higher and Professional Education (PGCHPE) as well as the PGC in Research Supervision. My PhD research involved developing biologically inspired deep hierarchies machine learning techniques for image enhancement applications.

Professional memberships and activities

  • Fellow of the Higher Education Academy

Academic qualifications

Doctor of Philosophy, Staffordshire University, UK, Computer Vision.

{Thesis: Retina-Inspired and Physically Based Image Enhancement

Post Graduate Certificate, Staffordshire University, UK, Research Supervision. Post Graduate Certificate, Staffordshire University, UK, Teaching in Higher and Professional Education.

Post Graduate Certificate, Staffordshire University, UK, Research Methods.

Master of Science, Arab Academy for Science and Technology, Alexandria, OptoElectronics.

{Dissertation: Erbium doped wave-guide amplifier with different Erbium concentration profiles

Bachelor of Science, Arab Academy for Science and Technology, Alexandria, Communications and Electronics.


  • Cyber security
  • Digital forensic
  • Network security

Research interests

  • Video analytics
  • Image processing
  • Video/image enhancement


I have won the following grants

  • The Sustainability Challenge, Staffordshire University, Wild Staffs.
  • Higher Education Innovation Fund Innovation (HEIF) and Collaboration Voucher, Staffordshire University, Feasibility Study of an Experimental Facility for the Development of Intelligent Textile by Integrating Miniature Flexible Electronics.

Enterprise and commercial interests

From 2011 till 2013, I was involved in a research project that includes the fabrication and testing of organic solar cells. I have worked as a product specialist in AVA Technologies, a software company. My role was to research and develop video analytic products for security application. I have four years of industrial experience, as I have worked in ‘Sony Ericsson’ service centre, as a mobile maintenance engineer, which gave me good experience in the application side of engineering.



  • Study Skills and Professional Development (COMP30003)
  • Networking Concepts and Cyber Security (COMP40002)
  • Fundamental Mathematics for Engineers
  • Cyber Security (COMP50003)
  • Operations in The Cyber Domain: Ethical Hacking 2 (BLENDED LEARNING) (COCS60533)
  • Digital Forensics for Intelligence: Advanced Practice (COCS60402)
  • Advanced Network Security (COCS60608)
  • Professional Forensic Computing (COCS60718)


  • Digital Forensic Fundamentals (DL and on Campus) (COCS70704)
  • Research Methods (COIS71040)
  • Research Methods (COIS71195) (Distance Learning)


  1. Aly, T. BOSAKOWSKI, M. SEDKY, ‘Physics-Based and Retina-Inspired Technique for Image Enhancement’, the 9th International Joint Conference on Biomedical Engineering Systems and Technologies, pp. 1-7, Rome, Italy, 2016.
  2. A. Aly, M. Hussein ‘Erbium doped waveguide amplifier gain for different Erbium concentration profiles: Effect of chip area and pump power,’ the 7th International conference on computer theory and applications (ICCTA’ 2007), Alexandria, Egypt, September 2007.
in the UK for Quality Education

Sustainable Development Goal 4, Times Higher Education Impact Rankings 2023

for Career Prospects

Whatuni Student Choice Awards 2023

for Facilities

Whatuni Student Choice Awards 2023

for Social Inclusion

The Times and The Sunday Times Good University Guide 2023

of Research Impact is ‘Outstanding’ or ‘Very Considerable’

Research Excellence Framework 2021

of Research is “Internationally Excellent” or “World Leading”

Research Excellence Framework 2021

Four Star Rating

QS Star Ratings 2021