Team Members
Ruhul A Sarker is a Professor with the School of Engineering and IT, and former Director of Faculty PG Research, at UNSW Canberra (located at ADFA), Australia. Prof. Sarker’s broad research interests are decision analytics, CI / evolutionary computation, operations research, and applied optimization.
His details can be found on Ruhul's page.
Email: r.sarker@unsw.edu.au
Dr Daryl Essam is a senior lecturer in the School of Engineering and IT at UNSW Canberra, Australia. He obtained his Ph.D. His research interests include Fractal Image Generation and Compression, Artificial Intelligence, particularly Genetic Programming, Game Playing, Complex Adaptive Systems, Operations Research & Optimisation.
More details can be found on Daryl's page.
Email: d.essam@unsw.edu.au
Dr. Saber is a Senior Lecturer at the School of Engineering and IT, University of New South Wales (UNSW) Canberra, Australia. He was awarded a PhD degree in Computer Science from the UNSW Canberra, in 2012. From 2012-2017, he was a Research Associate then a Research Fellow in this group. His research interests include Automatic configurations of evolutionary algorithms, constrained and unconstrained optimisation, and Scheduling.
More details can be found on Saber's page
Contact: s.elsayed@unsw.edu.au
Dr. Forhad Zaman is a Visiting Lecturer (former Research Fellow with the Group) with the School of Engineering and IT, UNSW, Canberra. His main research areas in evolutionary optimization, power system optimization, and resource constrained project scheduling.
More details can be found on Forhad's page
Email: f.zaman@unsw.edu.au
Dr. Ali Ahrari received his PhD in mechanical engineering from Michigan State University (MSU) in 2016, and subsequently worked as a research associate at MSU until June 2018. Since July 2018, he is working at UNSW-Canberra as a research associate with the School of Engineering and IT, UNSW, Canberra.
More details can be found on Ali's page
Email: a.ahrari@unsw.edu.au
Dr Kyle Harrison is a Research Associate with the School of Engineering and Information Technology at the University of New South Wales (UNSW) Canberra, Australia. Previously, he was a Postdoctoral Fellow at the University of Ontario Institute of Technology (Ontario Tech University), Canada. He received his PhD in Computer Science from the University of Pretoria, South Africa, in 2018, and the M.Sc. and B.Sc. degrees in Computer Science from Brock University, Canada, in 2014 and 2012, respectively. His research interests include computational intelligence, self-adaptive optimization, fitness landscape analysis, operations research, and real-world applications of complex networks.
More details can be found on Kyle's page
Email: kyle.harrison@unsw.edu.au
Noha Hamza received the M.Sc. 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.
More details can be found on Noha's page
Email: n.hamza@unsw.edu.au
Mohamed Radwan obtained his PhD from the School of Engineering and Information Technology, UNSW Canberra in 2019. He received the B.Sc. and M.Sc. degrees in Computer Engineering from Zagazig University, Egypt. His current research interests include large-scale global optimization and decomposition methods for optimization. His PhD topic is "Big Optimization with GPU Environment".
Kangjing Li (Jenny)
Jenny is a PhD student with the school of Engineering and IT at UNSW Canberra. Her PhD thesis is entitled of "Landscape-based Evolutionary Algorithm for Optimization Problem in Dynamic and Uncertain Environments". She completed her master from China with her thesis thesis entitled "DE-based SVM Classifier and Its application on Flexible Integrated Circuit Substrate Manufacturing Process Anomaly Detection".
Marjia Haque
Marjia Haque is a PhD student at the School of Engineering and Information Technology, UNSW, since March 2018. She received both B.Sc. and M.Sc. degree in Industrial & Production Engineering from Bangladesh University of Engineering and Technology (BUET), Dhaka, Bangladesh. She worked as a faculty member at Ahsanullah University of Science & Technology (AUST), Dhaka, Bangladesh for 5 years. Her current research interest is in the area of Bilevel Optimization in Supply Chain.
Juel Rana
Md Juel Rana is a PhD student at the School of Engineering and Information Technology, UNSW Canberra since June 2019. His current research interest is in the area of Evolutionary Optimization.
Email: m.rana@student.unsw.edu.au
Firoz Mahmud
Firoz Mahmud is a PhD student at the School of Engineering and Information Technology, UNSW Canberra since June 2019. His current research interest is in the area of Evolutionary Optimization.
Tahereh Hassan Zadeh
Tahereh Hassan Zadeh Koohi is a PhD student at the School of Engineering and Information Technology, UNSW Canberra since the beginning of 2019. Her current research interests are deep learning, neural network and evolutionary computation with application to medical image processing.
Amany
Amany Mohamed Mamdouh obtained her PhD from the School of Engineering and Information Technology, UNSW Canberra in 2019. Her B.Sc. and M.S. degrees in Operations Research and Decision Support from Cairo University, Faculty of Computers and Information (FCI), Cairo, Egypt. She worked as a Teaching Assistant for five years and Assistant Lecturer for two years at FCI, Cairo University, Egypt. Her current research interest is in the area of Simulation Optimization and Evolutionary algorithms.