Research Themes
- Smart and Sustainable Agriculture
- Digital twining and 3D point cloud scanning
- Predictive Maintenance in Industry
- AIoT for Smart healthcare and personalized patient decision
Current Projects
Project 1: Leveraging Data Analytics to Measure Elevator Car Performance
Objective: The purpose of this project is to design an advanced elevator monitoring system that leverages artificial intelligence (AI), IoT sensors, and data analytics to track elevator usage, detect operational incidents, and predict maintenance needs.
Partner: Industry
Project 2: Using machine learning to detect assets within 3D depth scans
Objective: The purpose of this project is to investigate and improve edge detection, object detection, and object identification algorithms for efficient and accurate automated asset management in industrial plants such as refineries and petrochemical plants. This will result in Antea’s ability to expand its services to the industrial sector.
Partner: Industry
Project 3: Bringing Bins to Life
Objective: The issue surrounding the litter problem is societal, long-standing, ongoing, and difficult to combat. litter negatively affects the environment, people’s health, and the local economy, and has numerous ripple effects within each. The purpose of this project is to develop a smart bin system that prompts a response in preventing littering behaviors; and reward or recognize ideal litter management behaviors.
Partner: Academic, City
Publications
- List of papers, journals, and articles with download links
