Masoud Mohammadian has completed his Bachelor, Master and PhD in
Computer Science. His research interests lie in adaptive self-learning systems, fuzzy
logic, genetic algorithms, neural networks and their applications in robotics, control,
industrial automation, financial and business problems which involve real time data
processing, planning and decision making. He is a member of over 30 international
conferences and he has chaired several international conferences in computational
intelligence and intelligent agents. He is currently a senior lecturer at the school of
computing at the University of Canberra in Australia. He is a member of many
professional (computing and engineering) organizations . He is also currently the
vice chair of the Institute of Electrical and Electronic Engineering (IEEE) ACT
section.
Ruhul Sarker received his PhD in 1991 from DalTech, Dalhousie University,
Halifax, Canada, and is currently a senior lecturer in Operations Research at the
School of Computer Science, University of New South Wales, ADFA Campus,
Canberra, Australia. Before joining at UNSW in February 1998, Dr. Sarker
worked with Monash University, Victoria, and the Bangladesh University of
Engineering and Technology, Dhaka. His main research interests are Evolutionary
Optimization, Data Mining and Applied Operations Research. He was involved
with three edited books either as editor or co-editor, and has published more than
80 refereed papers in international journals and conference proceedings. He is also
the editor of ASOR Bulletin, the national publication of the Australian Society for
Operations Research.
Xin Yao received the BSc degree in computer science from the University of
Science and Technology of China (USTC), Hefei, the MSc degree in computer
science from the North China Institute of Computing Technologies (NCI), Beijing,
and the PhD degree in computer science from the USTC, Hefei, in 1982, 1985, and
1990, respectively. He is currently a professor of computer science at the University of Birmingham, Birmingham, England. Xin Yao is an associate editor or a member
of the editorial board of six international journals, including IEEE Transactions on
Evolutionary Computation, and an editor/co-editor of nine journal special issues.
His major research interests include combinations between neural and evolutionary
computation techniques, evolutionary learning, co-evolution, evolutionary design
and evolvable hardware, neural network ensembles, global optimization, simulated
annealing, computational time complexity and data mining.