• University of Huddersfield
    HD1 3DH

    United Kingdom

Accepting PhD Students

PhD projects

Click on the Fingerprint icon below to learn more about the research topics, expertise and interests of this academic.

Calculated based on number of publications stored in Pure and citations from Scopus

Research activity per year

If you made any changes in Pure these will be visible here soon.

Personal profile

Research Degree Supervision

If you are interested in studying for a PhD in this research subject area click here 

For more details about the research topics, expertise and interests of this academic, click on the fingerprint icon

Google Scholar h-Index

5 from 217 citations 

Last updated 10th March 2023


Dr Isa Inuwa-Dutse is lecturer in the Department of Computer Science at the University of Huddersfield, UK. He is a visiting lecturer at the University of Hertfordshire. Isa did his postdoc at the University of St Andrews on eXplainable Artificial Intelligence (XAI) project aimed at making ML systems more transparent and improving end-users' engagements through an interactive argumentative framework. Isa’s research lies at the intersection of Natural Language Processing (NLP) and Machine Learning (ML) aimed at developing useful tools with applications across various domains.  

Expertise related to UN Sustainable Development Goals

In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):

  • SDG 1 - No Poverty
  • SDG 3 - Good Health and Well-being
  • SDG 4 - Quality Education
  • SDG 9 - Industry, Innovation, and Infrastructure
  • SDG 16 - Peace, Justice and Strong Institutions

Research Expertise and Interests

  • Artificial Intellegence
  • Machine Learning
  • Data Mining
  • Natural Language Processing
  • Social Network Analysis


Dive into the research topics where Isa Inuwa-Dutse is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
  • 1 Similar Profiles


Recent external collaboration on country/territory level. Dive into details by clicking on the dots or