معرفی
Associate Professor Andy Song is affiliated with the School of Computing Technologies at RMIT University, Australia. His research focuses on Artificial Intelligence, Image Processing, Machine Learning, Distributed Computing, and Applied Mathematics. He leads projects such as developing AI-driven circular economy solutions for waste management and obstacle detection systems for the visually impaired.
Research interests include energy-efficient AI models, explainable deep learning, and optimization algorithms. His work bridges theoretical advancements with practical applications, such as smart wearables and healthcare scheduling systems. Supervised projects span fields like neural architecture search, cybersecurity, and urban infrastructure optimization.
Publications emphasize interdisciplinary approaches, combining computer vision, optimization, and sustainability. He collaborates on projects addressing real-world challenges in healthcare, environmental science, and assistive technologies.
