Graham Leedham
Professor, Head of School, School of Science and Technology
Qualifications
BSc (Leeds), MSc, PhD (Southampton), C.Eng
Contact
| Email: | hos-st@une.edu.au |
| Room: | McClymont Building (W34) 380 |
| Phone: | 02 6773 3118 (or +61 2 6773 3118 overseas) |
| Fax: | 02 6773 5011 |
Graham Leedham is a Chartered Electrical Engineer, a Fellow of the Institution of Engineering Technology and a Senior Member of the Institution of Electrical and Electronic Engineering. He obtained his BSc in Electrical and Electronic Engineering from Leeds University, UK followed by an MSc in Electronics and PhD in Computer Engineering from Southampton University, UK.
After a period as a Student Apprentice and Electronics Engineer with the General Electric Company designing systems and programming some of the first Intel microprocessors for use in power line signalling applications, he began his academic career in 1984 as a Lecturer in Electronic Engineering in the Department of Electronic Systems Engineering at Essex University. In 1994 he moved to Nanyang Technological University, Singapore where he spent 12 years as Senior Lecturer, Associate Professor and subsequently Head, Division of Computing Systems followed by a year as Professor and Head of Computer Engineering and Information Technology at the University of New South Wales in Singapore.
He joined the University of New England as Professor and Head, School of Science and Technology in October 2008.
He has held visiting positions at the University of Western Australia, the State University of New York at Buffalo, USA, the Ecole Polytechnique de Montreal, Canada and is an Adjunct Professor at Griffith University.
He is an active member of the International Association for Pattern Recognition as a member of the Technical Committees TC-11 (Reading Machines) and TC-20 (Pattern Recognition for Bioinformatics) and President Elect (2009-2011) of the International Graphonomics Society. He is an Associate Editor of the Journal Pattern Recognition and a member of the Advisory Board of the International Journal in Advances in Engineering Science.
Affiliations
FIET, SMIEEE
Research interests
His research is primarily concerned with the definition and real-time embedded implementation of image processing, computer vision and pattern recognition algorithms. He also has research interests in human-computer interaction and computer animation. His work covers both software and hardware implementations of algorithms, encompassing his interest in embedded real-time systems. His recent research has focused on the use of computers and novel sensors in forensic analysis, biometrics and intelligent surveillance for security and multi-media applications.
He has published over 160 peer reviewed research articles in top international journals, conferences and edited books, co-edited 2 research books on image processing and analysis of handwriting and supervised 19 successful research student theses in the areas of image and speech processing, biometrics, pattern recognition, parallel processing and computer animation.
Selected publications
Lingyu Wang, Graham Leedham and Siu-Yeung Cho, Minutiae feature analysis for infrared hand-vein pattern biometrics, Pattern Recognition, Volume 41, No. 3, pp. 920-929, 2008.
Graham Leedham, Vladimir Pervouchine and Zhong Haishan, Seeking patterns in the forensic analysis of handwriting and speech, In Pattern Recognition Technologies and Applications: Recent Advances Brijesh Verma and Michael Blumenstein (Eds.), Information Science Reference, ISBN 978-1-59904-807-9, pp. 110 – 139, April 2008.
Lingyu Wang, Graham Leedham, and Siu-Yeung Cho, A physiological vein pattern biometric system, Transactions of the Hong Kong Institution of Engineers Vol. 15, Issue 4, 2008.
Ma Yang, Graham Leedham, Colin Higgins and Swe Myo Htwe, Segmentation and recognition of phonetic features in handwritten Pitman shorthand, Pattern Recognition, Volume 41, No. 4, pp. 1280-1294, 2008.
Lingyu Wang and Graham Leedham, A watershed algorithmic approach to grey-scale skeletonisation in thermal vein pattern biometrics, Lecture Notes in Artificial Intelligence Vol. 4456, Y. Wang, Y. Cheung and H. Liu (Eds.), pp. 935–942, 2007.
Lingyu Wang and Graham Leedham, Infrared imaging of hand vein patterns for biometric identification purposes, IET Proceeedings on Vision, Volume 1, Issue 3-4, pp. 113-122, December 2007.
Vladimir Pervouchine and Graham Leedham, The validity and usefulness of forensic document examiner features for automatic writer identification, Pattern Recognition, 40(3) pp. 1004-1013, 2007.
Ma Yang and Graham Leedham, On-line recognition of handwritten Renqun shorthand for fast mobile Chinese text entry, Pattern Recognition Letters, Volume 28, Issue 7, pp. 873-883, 2007.
Vladimir Pervouchine and Graham Leedham, Extraction and analysis of document examiner features from vector skeletons of grapheme `th', Lecture Notes in Computer Science 3872, Springer, Horst Bunke and Lawrence Spitz (Eds.), pp.196-207, 2006.
Graham Leedham and Kiam-Tian Seow (Authors), Embedded real-time systems: introductory concepts and tools, Pearson-Prentice Hall, ISBN 981-244-737-7, 2004 (Second Edition published June 2005, Third edition published July 2006).