Dr Youcef Gheraibia

Job: Senior Lecturer in Computer science (Transnational Education)

School/department: School of Computer Science and Informatics

Address: De Montfort University, The Gateway, Leicester, LE1 9BH

T: N/A

E: youcef.gheraibia@dmu.ac.uk

 

Personal profile

Dr Youcef Gheraibia is a Senior Lecturer in Computing (Transnational Education) at De Montfort University (DMU), UK, where he supports and manages TNE computing programmes and partner institutions. He has been endorsed by the Royal Academy of Engineering as an exceptional talent and world leader in artificial intelligence, and he received the National Innovation Award in Algeria in 2016. He has over 19 years of academic, industrial and research experience in computer science, artificial intelligence and safety-critical systems, including previous academic and research roles in Algeria and the UK.
His research interests include bio-inspired optimisation, machine learning, data science, operational research, and the safety assurance of AI and autonomous systems. He is the originator of the Penguins Search Optimisation Algorithm (PeSOA), a nature-inspired metaheuristic later applied to optimising safety requirements in automotive software in collaboration with the University of Hull. His previous work at the University of York's Department of Computer Science included research on runtime decision-making under uncertainty in autonomous vehicles and on legal frameworks, standards and verification practices for infrastructure inspection robotics. His more recent work extends to machine learning applications in healthcare, such as voice disorder detection.
Alongside his research and teaching, Dr Gheraibia contributes to transnational education, academic quality assurance, curriculum development and programme validation.

Publications and outputs

Full and updated list of publications can be found here

https://scholar.google.com/citations?user=fXpBLCcAAAAJ&hl=en

Research interests/expertise

  • Bio-inspired and metaheuristic optimization
  • Machine learning and data science
  • Safety assurance of AI and autonomous systems
  • Model-based safety analysis and reliability engineering
  • Operational research

Areas of teaching

  • Data Science
  • Optimization
  • Artificial Intelligence
  • Machine Learning
  • Operational Research

Qualifications

  • Phd in Computer Science 2015
  • Magister in Computer Science 2012
  • Engineer in Computer Science and Distributed System 2008

Courses taught

Artificial Intelligence Data Science Programming

Honours and awards

  • National Innovation Award, Algeria (2016)
  • Endorsed by the Royal Academy of Engineering as an exceptional talent and world leader in artificial intelligence

Professional licences and certificates

FHEA, Fellow of Advance HE

ORCID number

0000-0002-0854-5211