My Expertise
Dynamic optimization, Constrained optimization, Evolutionary computation.
Fields of Research (FoR)
Optimisation, Neural, Evolutionary and Fuzzy ComputationBiography
NOHA HAMZA received the MSc and PhD degrees in computer science from the University of New South Wales (UNSW) at Canberra, Australia, in 2012 and 2016, respectively. She is currently a Research Associate with the School of Engineering and Information Technology (SEIT), UNSW at Canberra. Her research interest includes the areas of evolutionary algorithms and constrained optimization.
My Qualifications
PhD in Computer Science...view more
NOHA HAMZA received the MSc and PhD degrees in computer science from the University of New South Wales (UNSW) at Canberra, Australia, in 2012 and 2016, respectively. She is currently a Research Associate with the School of Engineering and Information Technology (SEIT), UNSW at Canberra. Her research interest includes the areas of evolutionary algorithms and constrained optimization.
My Qualifications
PhD in Computer Science (UNSW Canberra).
MSc (UNSW Canberra)
My Awards
Awards
- Winner of the IEEE-CEC2016’s Competition “Real-Parameter Numerical Optimization".
- Winner of the IEEE-CEC2014’s Competition “Real-Parameter Numerical Optimization".
Scholarships
- Scholarship for the "Research to Impact" program, Canberra Innovation Network (2019).
My Research Supervision
Areas of supervision
Evolutionary computation and its application.
My Teaching
Courses taught
- Introduction to Programming.
Certificates
- Associate Fellowship, Higher Education Academy (2021).
- Foundations of University Learning and Teaching Program (2020).
- Graduate Teacher Training Program (2011).