At the Anglia Ruskin IT Research Institute, we focus on several key research areas.
Our goal is to improve human health by empowering people to co-manage their own wellbeing by using their mobile devices. With intelligent self-diagnosis they'll generate learning materials to develop understanding about diseases, diagnosis, prognosis and treatment. We develop bio system models, perform data analysis and deliver research-focused IT solutions for individuals and institutions. Our current focus includes our tuberculosis testing research project 'TB-Test' which is funded by the Newton Fund. We also working in areas such as retinal diseases, skin diseases and tongue diseases detection.
We conduct research on a wide range of cyber security problems and provide intelligent solutions to security issues such as cyber attacks, attack detection, protection, secure data transmission, secure protocol design and social engineering. We consider users are the weakest link to the cyber criminals. Our focus is to empower citizens’ confidence in the digital economy by providing real-time need based supports, awareness and training. This includes investigation on how to detect phishing via email, online transaction, gaming, social media activities, social engineering etc., drive-by-download particularly, ransomeware, botnet attack, security protocol design etc. We use artificial intelligence includes, machine learning, fuzzy fusion model for decision, optimisation algorithms to develop our detection, protection and support scheme.
We perform research on how to manipulate, use, store and exploit huge amounts of data using data mining, classification and clustering methods, efficient use of storage, and data sharing between stakeholders. We develop real-time intelligent decision support and knowledge management schemes for big data.
We're focusing on the development of intelligent systems, gaming and learning for areas such as health, business, education and engineering. We look at intelligent decision support systems, Artificial Intelligence, optimal system design, technology enhanced learning and reinforcement learning model development using computational and mathematical algorithms.
We're investigating cost-effective, real-time, 24/7 operable mobile-enabled intelligent solutions for societal, business and engineering challenges. We look at availability, accessibility, increasing mobile power, microscopic lenses, nanotechnology and sensors.
We're focusing on cloud computing, smart connectivity, usability, security, quality control, reliability, data transmission and protocol design. We also research smart cities, smart factories, machine-to-machine connectivity and smart grid etc.
But that's not all. If you think we can work with you, please contact us.