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Amir Pourabdilla

Amir Pourabdollah

Senior Lecturer

Computer Science

Staff Group(s)
Computer Science


Dr Amir Pourabdollah (PhD, FHEA, MSc, MEng, BEng) is the Course Leader of the BSc Computer Science (Artificial Intelligence).

He joined NTU in 2017, and currently leads the following modules: Artificial Intelligence (final year BSc) and System Analysis and Design (MSc).

Amir is with Computational Intelligence and Applications Research Group (CIA). His active areas of research include Quantum Computing, Fuzzy Logic Systems, Deep Learning, and Ambient Intelligence.

New: A fully funded PhD studentship on Quantum Intelligence Deadline approaching (16 June 2023)

Other activities include:

  • Editor of the Springer's Journal of Quantum Intelligence
  • Member of IEEE CIS Standard Working Group on Fuzzy Markup Language, and member of IEEE CIS Education Subcommittee
  • External collaboration with Microsoft: Amir is a Microsoft Certified Educator, and is Microsoft Program Advisor at NTU, facilitating Microsoft certifications for NTU students in the areas of AI, Cloud Computing and Cyber Security
  • External Examiner: BSc Artificial Intelligence Course, De Montfort University
  • External Subject Matter Expert: MSc Data Science Apprenticeship Course, Cranfield University (MK:U)
  • PhD Supervision: Distributed Fuzzy Systems for Ambient Intelligence (Bhavesh Pandya) and various co-supervisions.

Career overview

Since 2009, Amir has been appointed as:

  • Research Fellow in Data Analytics, Advanced Data Analysis Centre, University of Nottingham.
  • Research Fellow in computer science, IMA and LUCID research groups, University of Nottingham.
  • Research Fellow in Horizon Digital Economy, University of Nottingham.
  • Research Fellow in geospatial science, Nottingham Geospatial Institute, University of Nottingham.
  • Honorary Lecturer in MSc IT, Liverpool University Online Programs.

Prior to 2009, Amir had been a ICT systems designer and developer in broadcasting and telecommunication industries for over 10 years.

Research areas

  • Artificial Intelligence: Fuzzy Logic Systems, Uncertainty Decision Making, Cloud-based AI.
  • Quantum Computing with a focus on AI applications: Quantum intelligence/optimisation through both adiabatic and circuit models, quantum computer simulation through accelerated hardware.
  • Geospatial Intelligence: Web Mapping, Positioning technologies and Location-based Services.
  • Bioinformatics: Medical Ontologies, Medical Data Management
  • Unstructured and semi-structured information models, Linked Data, Semantic Web & RDF
  • System Analysis and Object-Oriented Design, UML
  • Computer Communication and Networking