Sonny Pham

Associate Professor Sonny Pham leads research in artificial intelligence at Curtin University's School of EECMS. His work balances theoretical foundations with practical applications in computer vision, data mining, and deep learning. As head of the IAMAI research group, he collaborates with industry partners on security systems, healthcare AI, and sustainable technologies.

His research explores:

• Computationally efficient deep learning architectures
• Compressed sensing for high-dimensional data
• Robust statistical methods for real-world problems
• Applications in computer vision and industrial automation

Recent publications demonstrate a focus on medical imaging interpretation and efficient neural networks, with applications spanning radiology report generation, semantic segmentation for autonomous systems, and cybersecurity. His team's work consistently bridges theoretical AI advancements with industrial applications.

Honors include:

• Multiple WANMA Awards (2021-2024) for industry-impactful research
• INCITE Award for social impact technology (2024)
• IEEE Young Author Best Paper Award (2010)
• Over $5M in competitive research funding including MRFF and DFAT grants

He leads the IAMAI research group with 12+ graduate students and coordinates Curtin's Master of Artificial Intelligence program. Industry collaborations include Alcoa Australia, iCetana, and HyprFire.