Dr Naomi Adel

My profile

Biography

Naomi Adel is a Lecturer in Artificial Intelligence and AI Ethics at Manchester Metropolitan University (MMU). She gained a BSc Degree (Hons) in Computer Science from The University of Salford, an MSc in Information Systems from MMU and a PhD in Fuzzy Natural Language Processing with a thesis entitled  “Fuzzy Natural Language Similarity Measures Through Computing with Words” from MMU. She is a member of IEEE, member of IEEE CIS and a member of IEEE WIE UKI and actively participates in STEM activities and public outreach. Her areas of research include fuzzy natural language processing, semantic similarity, fuzzy systems, machine learning, computational intelligence, conversational agents and the ethics of artificial intelligence (AI). She is an active member of the Machine Intelligence and Data and Artificial Intelligence Ethics research themes in the Centre for Advanced Computational Science at MMU.

ACADEMIC QUALIFICATIONS

  • 2022 PhD Fuzzy Natural Language Similarity Measures Through Computing with Words (Manchester Metropolitan University)
  • 2018 Post Graduate Certificate in Learning and Teaching in Higher Education (Manchester Metropolitan University)
  • 2015 MSc Information Systems (Manchester Metropolitan University)
  • 2009 BSc Computer Science (The University of Salford)

  PROFESSIONAL QUALIFICATIONS

  • 2022 Microsoft Certified: Azure AI Fundamentals
  • 2018 Fellow of the Higher Education Academy
  • 2018 Associate Fellow of the Higher Education Academy
  • First Aid Qualified 

CITIZENSHIP

  • Reviewer of three conference papers for the 2022 IEEE World Congress on Computational Intelligence
  • Session Chair of Fuzzy Natural Language Processing at IEEE-Fuzz 2021 Virtual Conference 
  • Presented at IEEE-Fuzz 2021 Virtual Conference 
  • Presented at IEEE-Fuzz 2020 Virtual Conference 
  • Presented at the MMU Machine Intelligence Event 
  • Presented at the 10th MMU Postgraduate Research Conference ‘Provoking Discourse’ 
  • Presented at IEEE-Fuzz 2017 Conference in Naples, Italy 
  • IEEE CIS volunteer at IEEE-Fuzz 2017 Conference in Naples, Italy 
  • Presented at the MMU Journey Through My PhD Event - IEEE WIE UKI 
  • Presented at the MMU Engineering Careers to Shape our Future Event - IEEE WIE UKI 

Teaching

SUBJECT AREAS 

  • The Ethics & Governance of Artificial Intelligence
  • Data Management and Governance
  • Computing Fundamentals (Apprenticeships)
  • Information Systems
  • Graduate Skills
  • Team Project

COURSES

  • MSc Artificial Intelligence 
  • MSc Computer Science
  • MSc Data Science
  • BSc Digital Technology Solutions Degree Level Apprenticeship
  • BSc Computer Science
  • BSc Software Engineering
  • MSc and BSc Final Year Projects 

Research outputs