Amany AKL

Research Associate

Dr. Amany Akl is experienced in Operations Research. Her research interests cover operations research, decision support, simulation-optimization, evolutionary computaion, machine learning, development of optimization models such as those of cybersecurity and power systems. She has a solid background and long-established experience and capability of building mathematical and statistical models and developing software programs for such systems. She has 7 years of professional experience as an Assistant Lecturer, a Research Assistant in the Centre of Excellence in Data Mining and Computer Modeling (CoE), Cairo University, PhD researcher, and currrently Research Associate at the Capability Sytems Centre, SEIT, UNSW at ADFA.


Conference Papers
Akl A; Sarker R; Essam D, 2019, 'A Study of Robustness in Evolutionary Simulation Optimization Algorithm', in Proceedings - 2018 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2018, pp. 2806 - 2813,
Akl AM; Sarker RA; Essam DL, 2017, 'Simulation optimization approach for solving stochastic programming', in 2017 2nd IEEE International Conference on Computational Intelligence and Applications, ICCIA 2017, Beijing, China, pp. 161 - 165, presented at 2017 2nd IEEE International Conference on Computational Intelligence and Applications (ICCIA), Beijing, China, 08 September 2017 - 11 September 2017,
Mamdouh AM; Ahmed AEHN; Saleh MM; Agami NE, 2015, 'Dynamic Cross Impact Analysis with Markov Chain', in IEOM 2015 - 5th International Conference on Industrial Engineering and Operations Management, Proceeding,
Journal articles
Akl AM; Sarker RA; Essam DL, 2019, 'Adaptive simulation budget allocation in Simulation assisted Differential Evolution algorithm', Applied Soft Computing Journal, vol. 83,
Working Papers
AKL AMM; Sallam K; Chakrabortty R; Moustafa N; Ryan M; Raymond K-K, 2021, A Novel Multi-level Optimization Framework forEnhancing Cyber-Physical Defenses in Smart PowerSystems,

High Impact Publication Award, UNSW Canberra 2019



  • Grant name: signals workforce modelling
  • UNSW Grant number: RG201668
Organisational units
lensCapability Systems Centre
Sub Theme
lensOptimization & Design