Research Group Lead: Dr Dena Bazazian

The Computer Vision Systems and Intelligence (CVSI) Research Group at the University of Plymouth brings together researchers working at the forefront of computer vision as a foundational scientific discipline that enables machines to interpret and understand visual information. While closely connected to artificial intelligence, computer vision has its own theoretical frameworks, algorithms, and methodological pipelines, and plays a critical role in advancing innovation across marine science, healthcare, renewable energy, manufacturing, climate research, cultural heritage, and the creative industries. CVSI provides a focused and collaborative environment that consolidates Plymouth’s growing expertise in vision research while strengthening interdisciplinary links across engineering, computing, environmental science, and health. 

The group’s research themes span core and applied challenges, including visual recognition, 3D reconstruction, multimodal perception, scene understanding, autonomous inspection, and robust vision systems for complex and data-scarce environments. A key achievement of CVSI has been the integration of doctoral research, externally funded projects, and cross-faculty collaborations under a unified strategic vision that promotes both scientific advancement and real-world impact. CVSI actively supports postgraduate researchers and early-career academics through shared resources, mentorship, and joint initiatives, fostering a vibrant research community centred on methodological innovation and responsible technological development. 

Collectively, these strengths position CVSI as a robust and forward-looking research hub with critical mass, technical depth, and strong collaborative capacity. Its combination of theoretical excellence, applied impact, and sustained researcher development enables the group to deliver resilient, high-quality innovation and maintain a powerful, internationally competitive presence in computer vision research.