Research
Research areas and projects
The themes the lab works on, and the projects its researchers are carrying out.
Research areas
Machine Learning and Artificial Intelligence
Supervised learning, neural networks and ensemble methods applied to prediction problems, from disease classification and sentiment analysis to flash-flood forecasting, renewable-energy systems and the role of AI in education.
Computer Vision and Image Processing
Robot vision, reverse image search, X-ray image enhancement, face-mask detection and aerial-imagery analysis for precision agriculture, combining classical local features with deep convolutional models.
Embedded Systems, Wireless Networks and IoT
Anomaly detection in IoT/MQTT networks, 5G resource allocation and LoRa, energy-efficient heterogeneous networks, RFID and WSN systems, dielectric-resonator antenna design, and wireless location estimation.
Intelligent Decision Support Systems
Decision support for healthcare, agriculture and business: survivability prediction, explainable AI in healthcare, smart-agriculture monitoring and control, and machine-learning risk models for firms.
Systems and Software Engineering
Risk prediction and management in global software development, fault tolerance and load balancing in cloud computing, and reliable, AI-driven load balancing for software-defined networks.
Projects
No projects published yet
Projects added by the lab and its approved researchers will be listed here.