• United Kingdom

Accepting PhD Students

PhD projects

Using Machine Learning and Deep Learning in Manufacturing. NLP. Connectivity and 5G. Fake News and Classification and Clustering Documents. Digital Twin.


Research output per year

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Personal profile

Personal Statement

Member of the AFRC (NMIS)'s Digital Manufacturing Team and serves as the AFRC representative on the MIDIH project. The role involves raising awareness of the benefits of digital manufacturing technologies amongst Scottish manufacturing SMEs and supply chains, demonstrating available technologies and solutions, and providing links into appropriate support networks.

The Manufacturing Industry Digital Innovation Hubs (MIDIH) project is funded by the European Union Framework Programme for Research and Innovation Horizon 2020 under Grant agreement number 767498.

MIDIH website: https://midih.eu/

An I4MS initiative: https://i4ms.eu/

Project Factsheet: https://cordis.europa.eu/project/rcn/211689/factsheet/en

Twitter: https://twitter.com/MIDIH_EU

Youtube: https://www.youtube.com/channel/UCeggravnGqkVcflBNn36oGA


Shawki Al-Dubaee holds BEng in Computing Technology, MSc in Computer Engineering, MBA in IT and PhD in Computer Engineering. He currently works as a Partnership Development Leader, Advanced Forming Research Centre- NMIS, at the University of Strathclyde. He worked as a teaching assistant and an Honorary Research Associate at the School of Computing Science at the University of Glasgow.

From 2011 to 2015, Al-Dubaee was an Assistant Professor at the Communication and Computer Engineering Department of the Faculty of Engineering and Information Technology, Taiz University (Yemen), and Head of the Information Technology Department (Nov 2011 to Sep 2014) as well as Head of the Computer Networks and Distributed System Department, CNDS (Sep 2012 to Sep 2014). While at Taiz University, Al-Dubaee also worked as a Team leader within the Quality Improvement Program for Computer Networks and Distributed System program, sponsored by the World Bank and the Ministry of Higher Education (Jul 2013 to Mar 2015).

Al-Dubaee has a good experience as a Full Stack Web Developer using HTML5, CSS, JavaScript, ES6, Nodejs, Express, Passportjs, React, React Native, Docker, NodeRED, TensorFlow and PyTorch frameworks.

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Research Output

  • 1 Chapter
  • 1 Conference contribution book

New information retrieval model

Al-Dubaee, S., 27 Aug 2014, 2014 Science and Information Conference. IEEE, p. 276-281 6 p.

Research output: Chapter in Book/Report/Conference proceedingConference contribution book

  • 1 Citation (Scopus)

    Computational Intelligence Methods for Data Analysis and Mining of eLearning Activities

    Dráždilová, P., Obadi, G., Slaninová, K., Al-Dubaee, S., Martinovič, J. & Snášel, V., 2010, Computational Intelligence for Technology Enhanced Learning. Berlin: Springer, Vol. 273. p. 195-224 30 p. (Studies in Computational Intelligence; vol. 273).

    Research output: Chapter in Book/Report/Conference proceedingChapter

  • 14 Citations (Scopus)


    • 1 Oral presentation

    Collaboration Activities of MIDIH Regional Manufacturing Digital Innovation Hubs (RM DIHs)

    Shawki Al-Dubaee (Speaker)
    28 Jan 2020

    Activity: Talk or presentation typesOral presentation