Al-Mehdi M. Ibrahem, PhD, EIT

      University of Gharyan

     College of Engineering 

    Department of Mechanical and Industrial Engineering

    Head of Dept. of Mechanical Eng. – Libyan Academy Gharyan 

   Email: al-mehdi.ibrahem@gu.edu.ly

   Google scholar

   ph. +218913231930

    LinkedIn                                         Scopus link

 

Academic Appointments

  • Assistant Professor: Faculty of Engineering, University of Gharyan Gharyan, Libya

  • Adjunct Professor (Head of Department  of Mechanical & industrial Eng. : Libyan Academy – Gharyan  

  • Supervisor of the website development Team at the  University of Gharyan

  • Accreditation committee: A member of the the National committee of Libyan university ranking and classifications .

Research Interests

  • Quality Engineering: Design of Experiments

  • Production Planning : Scheduling optimization

  • Innovation and Entrepreneurship:  Technology Transfer 

 
 

Taught Courses (Bsc.): 

  • Quality Engineering
  • Work system analysis and Design
  • Innovation and Entrepreneurship 
  • Operation Research 
  •  Probability & Statistics 
 
 

Taught Courses (Msc.): 

  • Research Methods  
  • Advanced  Quality Engineering 
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 Training Certificates 

 Training Certificates 

  •  Entrepreneurship; Theoretical curriculum training seminar Mar.29, 2021- April 2, 2021, Tunis , organized by Lyon University, and Funded by the European Union.
  • SMU Entrepreneurship BootCamp, Training of trainers program, Tunis, South Mediterranean University, Mar.29, 2021- April 2, 2021, Tunis
  •  

Publication

 H. M. Elmehdi, E. Zawam Dalah, A. Bukhatir and A. M. Ibrahem, “Retention at the University of Sharjah: Factors and Strategies,” 2020 Advances in Science and Engineering Technology International Conferences (ASET), Dubai, United Arab Emirates, 2020, pp. 1-6,

 doi: 10.1109/ASET48392.2020.9118195.

Ibrahem, A. El-mekkawy, T., Elmehdi, H, and Peng, Q. (2022) , Solving a Solving the Bi-criteria Scheduling Problem of Flowshop Manufacturing cell with Sequence Dependent Setup Times. Applied Soft Computing (under review).

Ibrahem, A. El-mekkawy, T., and Elmehdi, H. (2019) , A Hybrid Particle Swarm Optimization and Simulate Annealing (PSO-SA) algorithm for scheduling a flowshop Manufacturing cell with sequence dependent setup times. Journal of Engineering, Science and Computing Issue II, Volume I, Pages 23-42.. JESC 

Elmehdi H.M., Ibrahem AM. (2019) Online Summative Assessment and Its Impact on Students Academic Performance, Perception and Attitude Towards Online Exams: University of Sharjah Study Case. In: Mateev M., Poutziouris P. (eds) Creative Business and Social Innovations for a Sustainable Future. Advances in Science, Technology and Innovation (IEREK Interdisciplinary Series for Sustainable Development). Springer, Cham.  {doi.org/10.1007/978-3-030-01662-3-24}}

 H. M. Elmehdi, E. Z. Dalah and A. M. Ibrahem, “Impact of Flipped Physics Classes on the Performance of Engineering Students: University of Sharjah Case Study,” 2019 Advances in Science and Engineering Technology International Conferences (ASET), Dubai, United Arab Emirates, 2019, pp. 1-6. doi: 10.1109/ICASET.2019.8714477

Ibrahem, A. Elmehdi, H. (2017) Using Design of Experiment to Investigate Factors Influencing Students’ Academic Performance in Postsecondary Institutions:Case Study -University of Sharjah- IFEE 2017 conference proceedings.

Ibrahem, A. El-Mekkawy, T. and Peng, Q. (2014), Robust Metaheuristics for Scheduling Cellular Flowshop with Family Sequence-Dependent Setup Times. Procedia journal.  {doi.org/10.1016/j.procir.2014.01.072}}

Samarghandi, H., El-Mekkawy, T, and Ibrahem, A. (2013), Study the effect of combination of timetabling with sequencing algorithms to solve the no-wait job shop problem, International Journal of Production Research, 4942-4965. doi:10.1080/00207543.2013.784410.

Ibrahem, A. Sharifi, M., Wiebe, V., El-Mekkawy, T, and Peng, Q., (2014), A Qualitative Study of Benign Hematology clinic. 56th CORS Annual Conference May 26-28, 2014, Ottawa, Canada.

Ibrahem, A. El-Mekkawy, T, and Peng, Q., (2013), A Multi-Objective Genetic Algorithm for scheduling a Cellular Manufacturing Flowshop. 55th CORS Annual Conference, Vancouver, Canada