Research and Innovation
Britannia College is a research-focused distance learning institution where faculty, students and researchers continuously challenge the boundaries of knowledge and create state of the art research and technologies. Our faculty includes world-renowned academics and lead industry experts with several decades joint experience in conducting high quality research in the areas of Artificial Intelligence, Big Data Analytics and IoT Technologies.
Our team has published over 200 articles in high profile journals and conferences and produced 4 patents in challenging application areas.
R&D – individual and collaborative, funded and non-funded – is a priority for our college and aims at:
- Contributing to the implementation of high impact research projects at the highest level in collaboration with other institutions in the UK and abroad.
- Leading or partnering in UK, European and International collaboration research projects.
- Supporting our students develop research skills and actively engage in real world research.
- Increasing engagement with modern businesses and industries, identifying the needs of society and industry, developing industry-oriented research outputs, promoting exploitation of research results and dissemination of knowledge and safeguarding the generated IP through patents and the creation of dedicated spinoff companies.
Our team’s research is in accordance with the research excellence framework published by Research England: www.ref.ac.uk.
R&D Projects
Scientific Articles
GB/International Patents
Explore the processes of turning data into meaningful insights and create new AI techniques able to achieve state of the art performance in classification, forecasting and optimization tasks.
- Time series forecasting
- High performance big data analytics
- AI model parameter optimization
AI for Financial Applications and Digital Economy
Develop novel computational intelligence algorithms for cryptocurrency analysis and financial time series applications and outperform classical statistical and financial models.
- Deep Learning-based time series financial analysis
-
Cryptocurrency price trend and exchange rate forecasting
-
Big Data analytics and Sentiment analysis for financial applications
Develop new hardware architectures, algorithms, signal processing techniques and communication protocols to help computers interact directly and effectively with the physical world.
- Automated fault detection for modern industrial production lines
- Agent-based smart home environments
- Remote patient monitoring
Advanced Driving Assist Systems
Develop new innovative solutions based on advanced computer vision and AI technologies to enhance driving safety and improve driving experience for modern drivers.
- Accurate hazard identification in competitive delivery times
- Real time warning and intelligent feedback mechanisms
- Driver intent prediction
Exploit AI and IoT technologies to develop new solutions able to transform the world by fundamentally altering the way people and goods are moved.
- V2V and V2I communication
- Telematic operations for autonomous vehicles
- Testing platform for AV technologies
Integrate information, IoT and communication technologies to optimize the efficiency of city operations and services to citizens.
- Traffic management and congestion forecasting
- Urban flood monitoring and forecasting
- Energy grid optimization and demand forecasting
Explore and develop new technologies to enable computers gain understanding and extract knowledge from digital images or videos.
- Accurate object classification within a scene
- GDPR compliant computer vision
- Intelligent data annotation algorithms
Develop frameworks, methodologies and technologies able to recognize and translate natural language.
- NLP – Natural Language Processing
- Intelligent speech synthesis tools and chatting bots
- Language based sentiment analysis
Utilize advanced data analytics to uncover hidden patterns in security data and respond with countermeasures to prevent breaches and malicious attacks.
- Data driven risk assessment schemes
- Deep learning-based security threat identification
- Intelligent IoT network security
