Dr Amin Amini

Advancing Innovation in Computer Science: Research, Insight, Impact

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Roll-to-roll printing process with silver conductors on flexible plastic substrates, inspected by computer vision cameras in a modern manufacturing facility.

Computer Vision for Quality Assessment of Printed Silver Conductors

This research paper, authored by Dr. Amin Amini and colleagues, presents a novel computer vision-based technique for assessing the quality of roll-to-roll (R2R) printed silver conductors on flexible plastic substrates. The rapid development of flexible electronics, such as wearable devices and smart packaging, has highlighted the importance of precise quality control in manufacturing processes. Traditional
Mobile robots equipped with sensors navigating a complex warehouse environment, avoiding obstacles, and following glowing AI-optimised paths.

Exploring AI Techniques for Path Planning in Mobile Robots

This research paper, authored by Dr. Amin Amini and colleagues, examines the role of Artificial Intelligence (AI) in enhancing path planning for mobile robots. Path planning is a critical function for robots operating in dynamic environments, such as warehouses, healthcare facilities, or outdoor terrains. The study investigates how AI-driven algorithms can optimise this process, enabling
A 3D sensing camera assisting a Parkinson’s disease patient walking confidently with visual cues projected on the ground in a modern rehabilitation centre.

Improving Mobility in Parkinson’s Disease Patients Using 3D Sensing and Projection Technology

This research paper, authored by Dr. Amin Amini and colleagues, explores an innovative approach to improving mobility in patients with Parkinson’s disease using 3D sensing and projection technology. Parkinson’s disease often causes gait disturbances, such as freezing of gait (FoG), which significantly impact the quality of life. Traditional interventions have provided limited relief, but this