About Me

I am a researcher and academic in Artificial Intelligence and Machine Learning, with expertise in speech and text processing, computer vision, and 3D geospatial remote sensing data analysis. I completed my PhD in Information Technology at Federation University Australia, where my research focused on identifying Malleefowl incubator mounds using airborne 3D Light Detection and Ranging (LiDAR) data and machine learning techniques for ecological conservation.

I have more than six years of experience in teaching, research, and software development across academia and industry. My research interests include machine learning, deep learning, computer vision, LiDAR data processing, feature engineering, transfer learning, and explainable AI. My work has been published in internationally recognised ACM and IEEE conferences, and journals.

I am passionate about teaching, research, and mentoring students in computer science and information technology. Over the years, I have taught undergraduate and postgraduate courses including big data and visualisation, algorithms, theory of computation, object-oriented programming, databases, and game development.

I am currently open to research collaborations and academic opportunities in AI, computer vision, geospatial analytics, and data-driven environmental applications.