معرفی
Professor Hamid Laga leads research in computer vision and machine learning at Murdoch University's School of Information Technology, with cross-disciplinary applications in agriculture, biosecurity, and health. He holds a PhD in Computer Science from Tokyo Institute of Technology and serves as Professor of Information Technology. His work integrates the College of Science, Technology, Engineering and Mathematics and the Centre for Biosecurity and One Health.
Laga's research spans fundamental algorithms in 3D shape analysis and cutting-edge applications of deep learning. Core technical innovations include geometric processing of botanical structures, neural field representations, and weakly-supervised 3D reconstruction methods. Applied research focuses on agricultural technology solutions for disease detection in crops, weed classification systems, and insect phenotyping tools.
Recent publications demonstrate significant advancement in generative AI techniques for 4D shape representation, quantum neural networks, and transformer-based agricultural vision systems. His scholarly output consistently bridges theoretical computer science with practical applications in environmental and biological domains.
