Isa Inuwa-Dutse

  • BSc – Bayero university, Kano, Nigeria
  • Msc – Univeersity of Manchester, UK
Isa Inuwa-Dutse 

Research Contact Teaching

Text mining, Machine Learning and graphical analysis, Social network analysis

Isa Inuwa-Dutse
Department of Computer Science
Edge Hill University
L39 4QP

Phone: 01695 651872
Office: THF09

  • Team project
  • Digital World 1 – Computer Architecture


Isa earned his BSc and MSc degrees from Bayero University, Kano, Nigeria and The University of Manchester, UK respectively. Before joining Edge Hill University as PhD candidate and his role as Graduate Teaching Assistant, Isa worked as full-time Assistant Lecturer in the department of Computer Science, Federal University Dutse, Nigeria. Prior to that he worked for Kano State Polytechnic as lecturer in the Department of Statistics and Computer science. He is a member of the prestigious British Computer Society, Computer Professional Council of Nigeria, IEEE and a fellow of the HEA, UK. His university days were quite eventful. Isa extensively engaged with various students’ societies during his first and second degrees. This has earned him a number of commendations letters including a gold award from the Student Union, the University of Manchester, UK.

His present research work (working with Dr Yannis Korkontzelos as supervisor) is within text mining. Text mining is basically the application of models/algorithms and computing tools to massive collection of unstructured textual data in order to understand important information buried in. The data is believed to conceal vital knowledge and text mining techniques are quite effective at processing such data to ultimately reveal knowledge. The process of text mining is akin to mining for gold or rare gem that requires extensive excavation before getting the treasure. In text mining usually there is no specific answer to what is being looked after and involve series of processes to make it usable for analytic engine. My area of research is exactly the same thing, vital information is our gold, hence our focus in text mining. The social media platforms such as Facebook and Twitter are key mining site that draw the attention of numerous research interest including my present study. Depending on the type of information and the data to look at, social media data is powerful, hence the focus of my research to understand the nature of population movement as witnessed in the present century with specific focus on the refugees crises.

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