Machine learning is a branch of artificial intelligence that focuses on leveraging the large repositories of data to find patterns of interest. With the potential of transforming businesses and accelerating scientific discoveries, machine learning systems are set to play an increasingly important role in the foreseen future.
The group brings a strong track record in conducting research developing novel machine learning methods, and adopting state-of-the-art techniques in a number of healthcare and smart city related applications.
Areas of Activity
- Ensemble learning
- Deep learning
- Data stream mining
- Time series analysis
- Mobile and embedded machine learning
- Text mining
Staff Working in this Group
- Professor Mohamed Gaber
- Dr Atif Azad
- Dr Yevgeniya Kovalchuk
- Dr Shadi Basurra
- Dr Shereen Fouad
- Dr Zahraa Abdallah
- Dr Mariam Adedoyin-Olowe
- Salameh Abu Rmeileh