Brijesh Verma is a Professor and the Director of the Centre for Intelligent Systems (CIS) in the School of Engineering and Technology (SET) at Central Queensland University (CQUni) in Brisbane, Australia. He is the President of INNS (International Neural Network Society) Australia Chapter. He was the Chair of the IEEE Computational Intelligence Society's Queensland Chapter and under his leadership the Chapter won Outstanding Chapter Award. He is a member of the Australian Research Council (ARC) College of Experts (2018-2020).
His main research interests include Computational Intelligence and Pattern Recognition. He has authored/co-authored/co-edited 13 books (most recent books: Roadside Video Data Analysis: Deep Learning, Pattern Recognition Technologies and Applications: Recent Advances), 9 book chapters and over 150 papers [Download Papers via Google Scholar, Download Papers via CQU's Acquire Database] in areas such as neural networks, evolutionary algorithms, deep learning, pattern recognition, computer vision, image processing, data mining, digital mammography and web information retrieval. He has developed a number of novel techniques for segmentation and classification of images, roadside fire risk assessment, training of neural networks, creation of ensemble classifiers, optimisation using multi-objective evolutionary algorithm, segmentation of cursive handwriting, facial feature selection, detection and classification of microcalcification and web search. His publications and techniques have been widely cited (Citations in Google Scholar).
He is an Associate Editor of IEEE Transactions on Neural Networks and Learning Systems (Tier A* Journal in ERA 2010) and an Editor in Chief of International Journal of Computational Intelligence and Applications (IJCIA) (Tier A Journal in ERA 2010). He was also an Associate Editor of IEEE Transaction on Biomedicine in Information Technology (2004-2007) - Tier A* Journal. He is an editorial board member of 5 other international journals (Tier B/Tier C Journals). He is a Co-Chair of Symposium on Computational Intelligence in Feature Analysis, Selection, and Learning in Image and Pattern Recognition at IEEE SSCI 2019 and was the Chair of Special Session on Ensemble Models for Pattern Recognition and Data Mining at IEEE WCCI 2018. He was the Chair of Special Session on Machine Learning for Computer Vision at IEEE WCCI 2014 and IEEE WCCI 2016. He is/was a Program Committee Member of over 90 international conferences including IEEE Joint International Conference on Neural Networks (IJCNN 2019) and International Conference on Image and Vision Computing New Zealand (IVCNZ 2019).
He has received many competitive research grants including many ARC (Australian Research Council) grants and collaborative industry grants. His most recent ARC grants are ARC Linkage Project (2018-2021) which is focused on developing an automated system for the analysis of road safety and conditions, ARC Discovery Project (2016-2019) which is focused on developing a novel framework for optimised ensemble classifiers and ARC Linkage Project (2014-2017) which is focused on developing novel tools for roadside fire risk assessment using computational intelligence and pattern recognition techniques.
His teaching interests include programming (Java, C++), data structures and algorithms, software development, operating systems, computer architecture, emerging technologies, pattern recognition, digital image processing, neural networks and neural evolutionary computing. He is also involved in supervising research students. Currently he is supervising 4 research higher degree students. Overall, 35 research students have completed a research degree under his supervision.
If you are looking for a PhD/Masters research topic, please send your brief CV to Prof. Verma by e-mail.
I am currently accredited for supervision in the following:
At the level of Principal Supervisor