Responsible application of state-of-the-art AI tools to solve problems in Industry and Society
working with academics from all disciplines and stakeholders, with a commitment to innovation and sustainability
A passion for enhancing society and adhere to the responsible use of AI
We have an extensive network of cross-discipline and international academic and industrial collaborations
Every single one of our projects involves active stakeholders who expect usable outcomes
By working with stakeholders, we guarantee that our research has context and impact.
Dissemination at events and top journal publications and conferences
Our academic team has a rich portfolio of papers in Q1 journal and other prestigious international conferences.
We are regularly invited to present our work as keynote speakers at academic and industry events.
RiSE is continuously involved in collaborative grant proposals with International and Industry partners
We have work supported by the Royal Academy of Engineering and other funding bodies.
Projects
Our projects support real needs from commited stakeholders
Artificial Intelligence models to support sustainability in agriculture
In collaboration with 2 Universities and one of the largest Oil Palm plantations in Colombia we work in optimising sustainability, management and financial aspects. The projects have been supported by various grants including a Newton Fund IAPP and 2 Distinguished International Associates (DIA) grants from the Royal Academy of Engineering.
AgroRisk
This project has resulted in augmented intelligent platforms to improve the environmental and financial sustainability of small and medium farmers… see details for AgroRisk
Supporting Humanitarian de-mining for post-conflict land recovery
We have been developing innovative technologies for the detection of improvised and artisanal landmines since 2019. In collaboration with Colombian universities and the Colombian Navy, we are working to support the post-conflict recovery of agricultural land in areas affected by guerrilla warfare. By combining ground-penetrating radar, infrared, thermal, and multispectral imaging, we’ve built an AI-powered system capable of accurately detecting buried landmines, even under dense vegetation. Early field trials using model mines—left in place to be naturally overgrown—have helped simulate real-world conditions and refine our sensor fusion approach.
Landmines left behind by guerrilla groups, which are undocumented hidden threats, continue to endanger the lives of children and farmers returning to reclaim and work their land.
Artificial Intelligence to support primary care and public health
Effective collaborations to improve health are essential: Combining expertise enhances the opportunities and likelihood for achieving positive health outcomes. To address health inequalities requires time, resources, and expertise, as well as a shared vision among stakeholders.
Working with stakeholders, De Montfort University and RiSE bring expertise in clinical science and researching the use of artificial intelligence technologies in Healtchare.
Our main healthcare partner, Willows Health is a delivery partner and is the largest primary care organisation in Leicestershire serving over 44,000 patients over nine healthcare sites. Willows Health are the on the ground partners, working to understand frontline patientcare works, and liaising with clinicians.
Supporting transparency in stop and search police activities
We use semantic search pretrained sentence-transformers models to work with our own DNN model.
Both are enabled for training using around 2K hand labelled police records.
The project gained an international award in protecting human rights and security.
Identifying barriers for student attendance and engagement: mitigation through strategies using emergent AI technologies
In collaboration colleagues across DMU, partner schools and International collaboration with Asia Pacific University (Malaysia) and their UNESCO chair, we are working in improving students attendance, engagement and attainment.
Generative AI and Education
A collaborative project between RiSE, cross-faculty staff at DMU, and the AIDE (AI in Education research) group at APU (Malaysia) to optimise the equality in learning and maximise the level of STEM and transferrable skills in the current generation of students forming to be the researchers of the future.
