Nadia Dahmani

Assistant Professor and Assistant Chair, Department of Information Systems and Technology Management
+971 2 599 3407
 
AUH Campus
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  • Ph.D. in Business Applied Computer Science, in collaboration with the University of Science and Technology of Lille, France, and the Higher Institute of Management Tunis, University of Tunis, Tunisia, 2014.

  • M.Sc. (Honors) in Systems Modeling & Simulation, the Higher Institute of Management Tunis, University of Tunis, Tunisia, 2009. 

  • B.Sc.  (Honors) in Business Applied Computer Science, the Higher Institute of Management, Tunis, University of Tunis, Tunisia, 2007.

Operations Research, Decision-Making Techniques, Systems Modeling & Simulation, Combinatorial Optimization, Logistics and Supply Chain Management, Applications for Blockchain, Cloud Computing, Transportation and Scheduling problems.
  • Assistant Professor and Assistant Chair, Dept of Information Systems and Technology Management, College of Technological Innovation, Zayed University, 2020 – Current 

  • Head of the Academic Partnerships and Industry Networking Community at the Emirates College of Technology, Abu Dhabi, 2016-2020 

  • Assistant Professor, Emirates College of Technology, Abu Dhabi, 2015-2020

  • Member, Abu Dhabi Environmental Research Network (ADERN), 2023
  • Program Committee (PC) member for the 20th ACS/IEEE International Conference on Computer Systems and Applications (AICCSA2023), 2023. 

  • Program Committee (PC) member for the 13th International Conference on Logistics & Transport (ICLT2023), 2023. 

  • Evaluator, Undergraduate Research Conference (URC), Zayed University, 2022

  • N. Dahmani and Adnan Mukattash, (2019): "Modified Grouping Capability Index: A New Measure for Evaluating of Machine-Component Matrices”. Jordan Journal of Mechanical and Industrial Engineering, Vol. 13, No. 1, pp. 15-20. 

  • Al-Zawahreh, N. Dahmani, K. Abu Alethem and A. Mukattash, (2019): "Sensitivity analysis of the impact of part assignment in cellular manufacturing systems". Decision Science Letters, Vol. 7, pp. 323340.  

  • Al-Bashir, A. Mukattash, N. Dahmani, (2018): "Critical Analysis of Modified Grouping Efficacy Measure; new Weighted Modified Grouping Efficiency Measure ‘’, Production & Manufacturing Research (TPMR). 

  • Mukattash, N. Dahmani, A. Al-Bashir and A. Qamar, (2018) : "Comprehensive grouping efficacy: A new measure for evaluating block-diagonal forms in group technology". International Journal of Industrial Engineering Computations, 9. 

  • N. Dahmani, S. Krichen, (2016): « Solving a load balancing problem with a multi-objective particle swarm optimization approach: Application to aircraft cargo transportation », International Journal of Operational Research , 27:62-84. 

  • N. Dahmani, F. Clautiaux, S. Krichen, E-G. Talbi, (2014) : « Self-adaptive metaheuristics for solving a multi-objective packing problem », Applied Soft Computing, 16:124-136. 

  • N. Dahmani, F. Clautiaux, S. Krichen, E.G Talbi, (2013): « Iterative approaches for solving a multiobjective 2-dimensional vector packing problem », Computers & Industrial Engineering, 66(1):158-170. 

  • Fellow (FHEA) status in recognition of attainment against the UK Professional Standards Framework for teaching and learning support in higher education, 2023. 
  • INS 699 Research Thesis: Research Thesis - P1