Information Technology staff

Ickjai's research interests include geospatial data mining, multiple classifiers, conceptual spaces, Web 2.0, map segmentation, clustering, geo-visualisation, internet of things, and Voronoi tessellations.

Dr Ahn’s research interests are deep learning, artificial intelligence, computer vision, medical image computing, health informatics, translational health technology, and telehealth.

Iti's research focuses on Sentiment detection from written text and emotion identification from face images, recurrent neural networks and Fuzzy classifiers. She has worked on Deep learning with application to text, audio and video.

Dr Chen's main research focus is cybersecurity and artificial intelligence (AI), such as AI for cybersecurity and security issues in AI models.

Hossein Ghodosi's research interests include: theoretical aspects of modelling and system design; Cryptography; Multi-Party Computations; Oblivious Transfers and Secret Sharing Schemes.

Jason's research interests include Machine Learning, Remote Sensing Consumption, Design Thinking, Project Management, Mobile Computing and advanced mobile technology.

Dmitry received his Ph.D in Theoretical Atomic Physics from the Flinders University of South Australia before joining JCU. He is currently focusing on Deep Learning AI applications to Australian industries.

Joanne's research interests include machine learning, algorithm optimisation, neural networks, data mining, and applied artificial intelligence.

Prior to JCU, Dr Lu was a Postdoctoral Research Fellow with the Macquarie University Cyber Security Hub. His main research interests are cybersecurity, machine learning and privacy preservation.

Art employs Artificial Neural Networks, Support Vector Machines, and Hidden Markov Models in her research. She is currently exploring biometrics, Network Security and deep learning.

Lindsay's current research is investigating the gap between university and industry for Information Technology graduates in regional and metropolitan Australia, to improve employment outcomes.

Trina is a Computer Scientist and Vice President of the Australian Council of Deans of ICT (ACDICT) that aims to promote and advance ICT education, research and scholarship.

Mangalam's research focuses on developing software tools for automating long-term environmental monitoring using machine-learning techniques, such as neural networks and clustering algorithms.