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International Journal of Business Research and Management (IJBRM)
An International peer-review journal operated under CSC-OpenAccess Policy.
ISSN - 2180-2165
Published - Bi-Monthly   |   Established - 2010   |   Year of Publication - 2021

SUBMISSION
September 30, 2021

NOTIFICATION
October 31, 2021

PUBLICATION
November 2021

 
         
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IJBRM CITATION IMPACT
8.096

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IJBRM - Editorial Board Member (EBM)

Dr. Ammar Al-Bazi
Coventry University - United Kingdom
Contact Details
Email - aa8535@coventry.ac.uk
School of Mechanical, Aerospace and Automotive Engineering FACULTY OF ENGINEERING, ENVIRONMENT AND COMPUTING Coventry University Gulson Road Coventry CV1 2JH UK
United Kingdom
Institutional/Personal page
https://pureportal.coventry.ac.uk/en/persons/ammar-al-bazi

About Dr. Ammar Al-Bazi

Dr Ammar Al-Bazi is an assistant professor in the faculty of Engineering, Environmental and Computing at Coventry University and a research associate at the Institute of Future Transport and Cities (IFTC), Coventry University. His main research work has been in the area of simulation and optimisation of complex systems using hybrid approaches of discrete event, agent-based modelling, heuristics and meta-heuristics modelling in domain including renewable energy network management, production scheduling, warehouse and transportation management and inventory control.

He successfully completed a Knowledge Exchange & Enterprise Network (KEEN) project, partially funded by the European Regional Development Fund (ERDF) and has recently been awarded 2 Knowledge Transfer Partnerships (KTPs) partially funded by Innovate UK.

Dr Al-Bazi published nearly 40 papers in peer reviewed journals and conferences. He supervised 6 PhD students in the area of simulation, fuzzy and optimisation. He has been appointed by the University of Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU), Germany as an external supervisor (2nd) of a PhD student working in the area of renewable energy network management and its possible implementation in the Republic of Iraq. He is an editorial member of a number of refereed journals as well as being a reviewer for a number of the first quartile journals in the area of simulation, industrial engineering, fuzzy modelling and optimisation modelling.

Dr. Ammar Al-Bazi handles review of manuscripts that are submitted under the following topics.

  • Operational Research
  • Business Simulation
  • Machine Learning
  • Business Computing
  • Applied Statistics