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Dr Moammer Ali Saud Al Tubi

Assistant Professor and Deputy Head of Department

Artificial intelligence, machine condition monitoring, vibration analysis, genetic algorithm, maintenance management and strategies, and engineering projects.

Key Achievements in Teaching and Research

  • Organization: Caledonian College of Engineering, Oman
    Description: Best winner technical paper (Caledonian college of engineering, Oman, Jun 2008).
    Outcome: Improvement of the research skills
    Date: 04/06/2008 - 04/06/2008
  • Organization: Omani Student Advisory Council ¿ UK, Embassy of The Sultanate of Oman- London
    Description: Outstanding performance certificate for the academic year 2017/18.
    Outcome: Outstanding PhD and academic performance
    Date: 31/12/2016 - 30/12/2018
  • Organization: World Academy of Science, Engineering and Academy
    Description: Best paper award (19th international conference on aerospace, mechanical, automotive and materials engineering, Italy, Rome, March 2017).
    Outcome: Outstanding PhD outcomes
    Date: 04/03/2017 - 05/03/2017

Skills

I have deep knowledge on the area of machine condition monitoring with the application of artificial intelligence, advanced algorithms and good knowledge on using software like MATLAB and Lab VIEW. As a technology transfer, I have published 21 research works in the international journals and conferences. I believe that my management and leadership experience has also built my strong ability in leading the educational and engineering matters and chairing a number of committees.

Responsibilities

I have more than 12 years of experience as an academician and a researcher including more than 5 years in educational administration as a Deputy Head of Mechanical and Industrial Engineering Department, College of Engineering, National University of science and Technology, Muscat. Since I did research work related to artificial Intelligence and Condition monitoring in my Doctoral thesis, I have rich knowledge in unique engineering field of artificial intelligence applications on mechanical engineering.