John Fulcher is currently a professor of information technology in the School of IT & Computer Science at the University of Wollongong, Australia. He holds a BEE (Honours) from the University of Queensland (1972), a Research Masters in Upper Atmosphere Physics from LaTrobe University, Melbourne (1981), and a Ph.D. in Neural Networks for Pattern Recognition from the University of Wollongong (1999). John is a member of the Association for Computing Machinery, and is a senior member of the Institute of Electrical & Electronic Engineers.
Aside from serving as a reviewer for Computing Reviews, Fulcher is on the editorial board of both Computer Science Education and the International Journal of Intelligent & Fuzzy Systems. Fulcher has also served as Special Guest Editor on two occasions, one being for Computer Standards & Interfaces (July 1994 Special Issue on ANN Standards), and the other for Computer Science Education (August 2000 Special Australasian Issue). Fulcher is also a reviewer for 13 other learned society journals, including IEEE Transactions on Neural Networks, IEEE Transactions on Image Processing, International Journal of Neural Systems, Neural Computing & Applications, Microprocessors & Microsystems, and International Journal of Electrical Engineering Education.
Fulcher has also reviewed book proposals for Kluwer Academic Publishers and Edward Arnold (UK). He has almost 90 refereed publications, including a best-selling textbook (An introduction to computer systems: architecture & interfacing, Addison Wesley, 1989), a recent research monograph on intelligent systems (Applied intelligent systems: new directions, Springer Verlag, 2004, coedited with Prof. L.C. Jain, University of South Australia), three book chapters in the Handbook of neural computing (Oxford University Press, 1997, E. Fiesler & R. Beale, Eds.), and papers in the three previous IFIP World Conferences on Computers in Education (1990, 1995, and 2001).
He was an invited keynote speaker at the Fifth National Thai Computer Science & Engineering Conference, Chiang Mai (Practical (Artificial) Intelligence). Fulcher has attracted over A$2M of research funding over the past 15 years, mostly by way of industrial research and development projects.
His research interests include microcomputer interfacing, computer science education, artificial neural networks (especially higher-order ANNs and evolvable hardware), health informatics, and parallel computing. Fulcher's teaching interests span the gamut from first-year undergraduate (computer systems), through second- year (operating systems and distributed systems) and final-year undergraduate (microcomputer interfacing and real-time computing), as well as an Honours Seminar for graduate subjects (neural networks, parallel computing, data mining, and quantum computing). For the past six years, he has served as Research Postgraduate Coordinator in the School of IT & Computer Science.