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Dr. Mostefa Ghassoul

Assistant Professor

Chemical Engineering
mghassoul@uob.edu.bh

 Educational Qualifications

  • Ph.D., Control Engineering, University of Bradford (1986)
  • M.S., Control Engineering, University of Bradford (1983)
  • B.S., Electrical and Electronic Engineering Bradford University (1982)
Courses Taught
  • PICENG 321 Instrumentation ii
  • PICENG325 microprocessors in process automation
  • PICENG 458 DCS and pLC
  • PICENG 457 Neural network and fuzzy logic
  • PICENG411 instrumentation Lab II
  Research
Dr Ghassoul’s research areas are mainly energy, water desalination, Water leak detection, DCS and PLC and microcontroller applications.
He is the author of over 50 publications between journal papers, conferences in the area of solar energy, water desalination, water leak detection. Dr. Ghassoul has given many short courses to industry and academia in the field of programmable logic controllers, distributed control systems, Scada, industrial electronic workshops. He also gave many seminar to academia as well as industry in PLCs, DCS, microcontrollers and solar energy.
 
Awards & Honors
  • 2019 “Best Track Paper Award” at the 4th North American IEOM Toronto Conference 2019.
  • 2013 “Amcheon Best Paper Award” for the year 2013 at the Department of Chemical and Biomolecular Engineering, Korea Advanced Institute of Science and Technology (KAIST), South Korea.
Selected Publications
    1. Adeel Arif, Muhammad Rizwan, Ali Elkamel, Luqman Hakeem and Muhammad Zaman. Optimal selection of integrated electricity generation systems for the power sector with low greenhouse gas (GHG) emissions. Energies 13 (2020) 4571.
    2. Muhammad Rizwan, Yousef Saif, Ali Almansoori and Ali Elkamel. A multi-objective optimization framework for sustainable design of municipal solid waste processing pathways to energy and materials. International Journal of Energy Research 44 (2020) 771-783.
    3. Muhammad Umer Arshad, Muhammad Zaman, Muhammad Rizwan and Ali Elkamel. Optimization of parallel and series configurations of the double effect absorption refrigeration systems (ARS). Energy Conversion and Management 210 (2020) 112661.
    4. Yousef Saif, Muhammad Rizwan, Ali Almansoori and Ali Elkamel. MINLP model for reverse osmosis network design under time variant operation constraints. Industrial & Engineering Chemistry Research 58 (2019) 22315-22323.
    5. Mohammed Alkatheri, Muhammad Rizwan, Falah Alhameli, Ali Elkamel, Ali Almansoori and Peter Douglas. Data-driven power generation design and operation under demand uncertainty. IEOM Proceedings (2019) 345-355.
    6. Yousef Saif, Muhammad Rizwan, Ali Almansoori and Ali Elkamel. Design and operation optimization for water and power cogeneration system by reverse osmosis and renewable energy technologies. Computer Aided Chemical Engineering 46 (2019) 229-234.
    7. Muhammad Rizwan, Yousef Saif, Ali Almansoori and Ali Elkamel. Environmental performance of municipal solid waste processing pathways. Energy Procedia 158 (2019) 3363-3368.
    8. Yousef Saif, Muhammad Rizwan, Ali Almansoori and Ali Elkamel. Municipal solid waste supply chain optimization to power production under uncertainty. Computers and Chemical Engineering 121 (2019) 338-353.
    9. Yousef Saif, Muhammad Rizwan, Ali Almansoori and Ali Elkamel. A decomposition algorithm for organic solid waste supply chain optimization under uncertainty. Energy Procedia 158 (2019), 3284-3289.
    10. Muhammad Rizwan, Ali Almansoori and Ali Elkamel. An overview on synthesis and design of microalgal biorefinery configurations by employing superstructure based optimization approach. Energy Systems 10 (2019) 941-966.
    11. Muhammad Rizwan, Yousef Saif, Ali Almansoori and Ali Elkamel. Optimal processing route for the utilization and conversion of municipal solid waste into energy and valuable products. Journal of Cleaner Production 174 (2018) 857-867.
    12. Yousef Saif, Muhammad Rizwan, Ali Almansoori and Ali Elkamel. A circular economy solid waste supply chain management based approach under uncertainty. Energy Procedia 142 (2017) 2971-2976.
    13. Muhammad Zaman, Hong Jang, Muhammad Rizwan and Jay H. Lee. Optimal design for flexible operation of the post-combustion CO2 capture plant with uncertain economic factors. Computers and Chemical Engineering 84 (2016) 199-207.
    14. Muhammad Rizwan, Jay H. Lee and Rafiqul Gani. Optimal design of microalgae-based biorefinery: Economics, opportunities and challenges. Applied Energy 150 (2015) 69-79.
    15. Muhammad Rizwan, Muhammad Zaman, Jay H. Lee and Rafiqul Gani. Optimal processing pathway selection for microalgae-based biorefinery under uncertainty. Computers and Chemical Engineering 82 (2015) 362-373.
    16. Muhammad Rizwan, Jay H. Lee and Rafiqul Gani. Synthesis of optimal processing pathway for microalgae based biorefinery under uncertainty. Computer Aided Chemical Engineering 37 (2015) 2303-2308.
    17. Muhammad Rizwan, Jay H. Lee and Rafiqul Gani. Optimal processing pathway for the production of biodiesel from microalgal biomass: A superstructure based approach. Computers and Chemical Engineering 58 (2013) 305-314. Remained in top 10 most downloaded articles of Computers and Chemical Engineering.
    18. Muhammad Rizwan, Jay H. Lee and Rafiqul Gani. Superstructure optimization of biodiesel production from microalgal biomass. IFAC Proceedings Volumes 46 (2013), Issue 32, Pages 111-116.
Office: 14-22B

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