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Innovative Researcher in Computer Vision and Digital Forensics

Dr. Li is an accomplished researcher with expertise in image processing, digital forensics, and biometrics. With a strong background in enabling technologies and machine learning, he focuses on developing innovative solutions for medical image processing, activity detection, and information/cyber security.

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Innovative Researcher in Computer Vision and Digital Forensics

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  1. Chang-Tsun Li • BEng in Electrical Engineering: Chung Cheng Inst. Tech. (CCIT), National Defence University, Taiwan • MSc in Computer Science : Naval Postgraduate School, USA • PhD in Computer Science: University of Warwick, UK

  2. Experience • Dept. Electrical Engineering, National Defense University, Taiwan (8 years) • US Naval Postgraduate, USA (as Visiting Professor for 6 months) • Dept. of Computer Science, University of Warwick, UK (14 years) • Industrial Secondments (2010 -2012) • Forensic Pathways Ltd, UK (16 months) • XLAB, Slovenia ( 8 months) • School of Computing and Mathematics, Charles Sturt University (since January 2017)

  3. My Research Areas • Enabling technologies • Machine learning • Image processing • Computer vision • Applications • Digital Forensics • Information / Cyber Security • Biometrics • Activity Detection • Content-Based Image Retrieval • Medical Image Processing • Bioinformatics

  4. Content-Based Mammogram Retrieval Mammogram retrieval with user relevance feedback based on similar features (e.g., calcification, mass, etc)

  5. Medical Image Processing Segmentation of Region of Interest

  6. Medical Image Processing Segmentation of cells with significant overlap

  7. Anomaly & Activity Detection Abnormal activity detection for various applications including assisted living

  8. Current Issues • The aging population is in need of technologies for assisted living • Activity detection • Effective information/image retrieval • Expert systems for training and diagnosis • Image analysis techniques for medical applications • Segmentation of region of interest (e.g., brain tumor) for surgical operations

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