Real-Time User Sentiment Prediction for Ambient Aware Personalised Recommendation Systems using Deep Learning Spatial-Temporal Models
Award Details: No award (self-funding)
Duration: Full Time - 3 years 6 months fixed term; Part Time - 5 years fixed term
Application deadline: Ongoing
Informal enquiries are essential before application; contact Dr. Rahat Igbal to discuss this opportunity.
Congratulations on taking your first steps toward a Research Degree with Coventry’s Faculty of Engineering, Environment and Computing. As an ambitious and innovative University, we’re investing an initial £100m into our new research strategy, ‘Excellence with Impact’. Through original approaches from world-leading experts, we’re aiming for our research to make a tangible difference to the way we live. As a research student you are an integral part of Coventry’s lively and diverse research community and contribute to our reputation for excellence. With our exceptional facilities and superb support mechanisms you are afforded every opportunity for academic success.
The ever growing number of embedded and networked enabled physical devices collectively termed as the ‘Internet of Things (IoT) has become an enabler for facilitating richer context awareness, personalisation through integration of intelligence, into everyday consumer devices. The global IoT market is expected to hit $7.1 trillion by 2020 (IDC) and is projected to drive the circulation and use of some 50 billion connected devices. This influx of personal, mobile and wearable devices requires human centered technologies to more effectively understand user behaviour, preferences, though interpreting their behaviours and sentiments in order to provide appropriate, timely and effective recommendations pertaining to the users context and needs. This level of user awareness and personalisation can benefit ubiquitous connected ecologies of people, artefacts and the environment as can found with the emergence of smart cities and wider digital economies and societies. The proposed research aims to monitor and model of user level sentiment influencing their behaviours through the use of personal and pervasive computing artefacts and novel computational intelligence techniques. Generate more effective recommendation delivery based on identifying users current needs, activity and usage patterns of ubiquitous computing artefacts.
About the Centre/Department
The Research Institute for Future Transport and Cities has a thriving student community who are integral to the success of the Institute and contribute to our wide-ranging research portfolio.
We take a fresh approach to the challenges facing society by bringing together world-class experts from art and design, human factors, engineering, computer systems and business studies into one focussed Institute. Our work covers automotive, aerospace, maritime and rail transport modes and allows us to take the lead in cross cutting research developing new forms of transport, new forms of manufacturing and new forms of information provision and security. Our research focusses on six key themes:
- Materials & Structures
- Supply Chain
- Business Environment
We have a unique position in UK universities – with over 140 research staff and 120 PhD research students in the Institute capitalising on our links with Coventry City and its status as a European Living Lab for transport and our close collaboration and joint initiatives with major stakeholders.
- A minimum of a 2:1 first degree in a relevant discipline/subject area with a minimum 60% mark in the Project element or equivalent with a minimum 60% overall module average, or
- A Masters Degree in a relevant subject area will be considered as an equivalent. The Masters must have been attained with overall marks at merit level (60%). In addition, the dissertation or equivalent element in the Masters must also have been attained with a mark at merit level (60%).
- The potential to engage in innovative research and to complete the PhD within a prescribed period of study
- Language proficiency (IELTS overall minimum score of 7.0 with a minimum of 6.5 in each component).
Eligibility & Application Procedure
All UK/EU/International students are eligible to apply that meet the academic requirements, the eligibility criteria can be found making an application page.