Dr. Khanh Binh Nguyen is an Associate Research Fellow at Deakin University, specializing in artificial intelligence and computer vision. His research explores advanced deep learning methodologies, including few-shot learning, multimodal AI, and semantic vision, with a strong focus on ecological monitoring and conservation. At Deakin, he has developed innovative frameworks that detect and recognize animal species from camera trap data, enabling scalable solutions for biodiversity assessment and environmental science.

He earned his Ph.D. in Electrical and Computer Engineering from Sungkyunkwan University, South Korea, where he advanced efficient learning strategies for deep neural networks in computer vision tasks. Dr. Nguyen has published extensively in leading venues such as ICCV, CVPR, and WACV, and has been recognized in international AI challenges, achieving runner-up positions at ICCV 2023 and CVPR 2024.

Beyond his research, Dr. Nguyen contributes actively to the global AI community as a reviewer for prestigious conferences and journals, including CVPR, ICCV, AAAI, and NeurIPS. His career spans medical AI research, multimodal engineering, and ecological applications, reflecting a commitment to translating technical innovation into solutions with tangible social and environmental impact.

As a mentor, he supports aspiring researchers and early-career professionals in refining their academic profiles, preparing for interviews and presentations, and strengthening technical skills in computer vision and deep learning. His mentoring approach is collaborative and encouraging, designed to help individuals grow with confidence while navigating the challenges of a career in AI.