Hassan Moin
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Email
hm22803@essex.ac.uk -
Location
Colchester Campus
Profile
- Computer Vision
- Machine Learning
- Artificial Intelligence
- Web Development
- Python
- Image Segmentation
- Natural language Processing (NLP)
Biography
I hold a Bachelors degree in Software Engineering, where my primary focus was on web application development and full-stack application design. I further specialised in Artificial Intelligence during my Masters degree at the University of Essex, gaining extensive knowledge and hands-on experience in Machine Learning, Computer Vision, Natural Language Processing (NLP), Neural Networks, as well as Image Segmentation and Processing. Currently, I am working as a KTP Associate, managing a collaborative innovation project between the University of Essex and &Element. This project leverages AI-powered cameras to monitor customer engagement in the retail sector, providing real-time analytics via a dynamic dashboard. In parallel with my professional role, I am pursuing a PhD in Computer Science at the University of Essex. My research is focused on Computer Vision and Image Processing, with an emphasis on advancing real-time videow analysis techniques. My technical expertise spans Computer Vision, NLP, Python, and full-stack web development, including proficiency in the MERN stack (MongoDB, Express.js, React.js, Node.js). I am particularly passionate about the intersection of AI and practical applications, aiming to develop solutions that drive innovation and improve user experiences across various domains.
Qualifications
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Bachelors of Science in Software Engineering Ned University of Engineering & Technology (2021)
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Master of Science in Artificial Intelligence University of Essex (2023)
Research and professional activities
Thesis
SmartVision Retail Analytics: Enhancing Customer Experience and Operational Efficiency through Real-Time Advanced Video Analytics
This PhD research project aims to develop a comprehensive, real-time video analytics system tailored for retail environments, utilising the latest advancements in object detection and tracking technologies. By deploying on AWS EC2 GPU instances, the system will handle complex data streams from multiple cameras to optimise store operations, enhance customer experience, and improve product management through detailed analytics such as occupancy tracking, queue management, heat mapping, and product
Supervisor: Dr Vahid Abolghasemi , Dr Hossein Anisi
Research interests
Computer Vision in Retail
Applying advanced computer vision techniques to enhance the retail sector. I am particularly focused on leveraging real-time image analysis, object detection, and human activity recognition to improve customer engagement and optimize in-store experiences. By integrating AI-powered cameras and developing robust image processing algorithms, I aim to capture and analyse customer behaviour patterns, offering actionable insights for retailers. Additionally, my work explores the use of deep learning m
