Brijesh Verma

Brijesh Verma is Associate Professor in the School of Computing Sciences at Central Queensland University. His research interests include pattern recognition and computational intelligence. He has authored/co-authored 11 books (1 text book, 10 edited books), 5 book chapters and 101 papers in refereed international journals and conference proceedings. He has supervised 29 research students including 7 PhD students in the areas of pattern recognition and computational intelligence. He has received (chief investigator/co-chief investigator) 11 research grants including ARC and industry linkage grants. He is editors-in-chief of International Journal of Computational Intelligence and Applications (IJCIA) published by World Scientific and an associate editor of IEEE Transaction on Biomedicine in Information Technology. He is serving/has served on organizing, program and advisory committees of over 35 national and international conferences. He is a Senior Member of IEEE, IEEE Computational Intelligence Society and a member of International Neural Network Society (INNS). He is a chair of IEEE Computational Intelligence Queensland Chapter.

Publications

Machine Learning Techniques in Handwriting Recognition: Problems and Solutions
Machine Learning Techniques in Handwriting Recognition: Problems and Solutions
Hong Lee, Brijesh Verma, Michael Li, Ashfaqur Rahman. © 2012. 18 pages.
Handwriting recognition is a process of recognizing handwritten text on a paper in the case of offline handwriting recognition and on a tablet in the case of online handwriting...
Hybrid Data Mining for Medical Applications
Hybrid Data Mining for Medical Applications
Syed Zahid Hassan, Brijesh Verma. © 2009. 21 pages.
This chapter focuses on hybrid data mining algorithms and their use in medical applications. It reviews existing data mining algorithms and presents a novel hybrid data mining...
Pattern Recognition Technologies and Applications: Recent Advances
Pattern Recognition Technologies and Applications: Recent Advances
Brijesh Verma, Michael Blumenstein. © 2008. 454 pages.
The nature of handwriting in our society has significantly altered over the ages due to the introduction of new technologies such as computers and the World Wide Web. With...
Neural Networks for the Classification of Benign and Malignant Patters in Digital Mammograms
Neural Networks for the Classification of Benign and Malignant Patters in Digital Mammograms
Brijesh Verma, Rinku Panchal. © 2008. 21 pages.
This chapter presents neural network-based techniques for the classification of micro-calcification patterns in digital mammograms. Artificial neural network (ANN) applications...
Fusion of Segmentation Strategies for Off-Line Cursive Handwriting Recognition
Fusion of Segmentation Strategies for Off-Line Cursive Handwriting Recognition
Brijesh Verma, Michael Blumenstein. © 2008. 16 pages.
Cursive handwriting recognition is a challenging task for many real-world applications such as document authentication, form processing, postal address recognition, reading...
Neural Networks for Content-Based Image Retrieval
Neural Networks for Content-Based Image Retrieval
Brijesh Verma, Siddhivinayak Kulkarni. © 2007. 21 pages.
This chapter introduces neural networks for Content-Based Image Retrieval (CBIR) systems. It presents a critical literature review of both the traditional and neural network...
Neural Networks for the Classification of Benign and Malignant Patters in Digital Mammograms
Neural Networks for the Classification of Benign and Malignant Patters in Digital Mammograms
Brijesh Verma, Rinku Panchal. © 2006. 22 pages.
This chapter presents neural network-based techniques for the classification of micro-calcification patterns in digital mammograms. Artificial neural network (ANN) applications...