ASR
Funder: the European Union
Duration: May 2026 - December 2026
We are confronted today with a strong change in paradigms relevant to the emergence of LLM (Large Language Model) technologies that are taking up the scenes and presenting themselves as a big part of the future of the digital space. It is evident that, on a regulatory level, the EU is launching strategic and legislative initiatives that aim to regulate and emphasise the role of these solutions. However, the technical powerhouse of the technology is still the American ecosystem. With ELOQUENCE, we try to better understand unstructured dialogues and translate them into explainable, safe, knowledge-grounded, trustworthy and bias-controlled language models in accordance with the strategies and future legislations of the EU. ELOQUENCE will thus work upon the solutions that paved the way for a robust ecosystem in the domain of conversational agents such as the chatGPT, LaMDA2, or LLaMA3. The project will thus exploit pre-trained LLMs and tailor them to specific domains, with considerations given to green computing and eventual regulations on AI. This will result in a more trust-worthy LLM with mitigated impact from the usual memory distortion. ELOQUENCE is set to achieve its goal by putting in place use cases to validate the technologies it will produce. These will be segmented into four settings, the first being a language model learning through decentralised training in smart homes. This setting will pay close attention to the fundamental rights of privacy and data protection. The project will also delve into context-aware language model detecting biases. The project will also aim at retrieval-augmented LLMs as virtual agents, capable of understanding the user’s goals, making calls and responding. And finally the project will aim to develop support call centres through AI-based supervision of multimodal dialogues. By integrating conversational AI agents in contact centres or smart home assistants we can improve outcomes of AI technologies to better identify and resolve the reason of a call, or any request of action.
Funder: Research Councils UK
Duration: June 2025 - September 2025
UKFin+ grant
Funder: InnovateUK
Duration: April 2024 - March 2025
This project seeks to eliminate GHG emissions for vessels by carrying out pre- deployment trials of a novel ultra-efficient Shoreside Power from Optimised Hydrogen Lifecycle (SPOHL) system for cold-ironing with long-duration, bulk energy storage to balance the seasonal variation in renewable energy systems. The project targets the specific themes of "shoreside storage and bunkering of low and zero carbon fuel" and "charging infrastructure and management for electric vessels" , "shore power solutions, such as enabling docked vessels to turn off their conventional power supply for ancillary systems" , "shoreside renewable energy generation at the port to supply vessels" , and "low carbon fuel production, such as hydrogen, methanol, ammonia" . This project will solve critical challenges of providing flexible, reliable, resilient, highly varying electrical power supply to vessels and port infrastructure for docked vessels rather than having them powered by onboard auxiliary and main diesel or carbon producing combustion engines. The project aims to showcase the best possible end-to-end electrical and cost efficiency basis for the use of hydrogen as a medium to long-term energy flow pathway, in part through lab demonstration of best-in-class hydrogen production, storage and conversion technologies (as above) but also through analysis and optimisation of potential energy flow scenarios underpinned by data collection at a number of ports (including but not limited to Belfast, Felixstowe, Rochester).
Funder: InnovateUK
Duration: April 2024 - March 2025
Thanks to the commercial availability of future fuel technologies, as well as innovative Energy Saving Devices (ESDs) which are driving a reduction of power required for ships, it is now realistic to design a zero-emission vessel that is ready for adoption by the Offshore Renewable Energy (ORE) Industry. This industry requires additional, more versatile & emission-free vessels to keep up with the growing workload, increasingly varying work scopes, and to help the industry move closer to realising the goals of the Clean Maritime Plan, Operation Zero, and other COP26 targets. This project aims to design and plan for the construction of a zero-emission Offshore Service Vessel, that has the versatility to perform services over multiple sectors of the ORE & aquaculture industries, (e.g., maintenance, research surveys, installation, decommissioning, crew transfer etc.).
Funder: the European Union / Innovate UK
Duration: January 2024 - December 2026
We are confronted today with a strong change in paradigms relevant to the emergence of LLM (Large Language Model) technologies that are taking up the scenes and presenting themselves as a big part of the future of the digital space. It is evident that, on a regulatory level, the EU is launching strategic and legislative initiatives that aim to regulate and emphasise the role of these solutions. However, the technical powerhouse of the technology is still the American ecosystem. With ELOQUENCE, we try to better understand unstructured dialogues and translate them into explainable, safe, knowledge-grounded, trustworthy and bias-controlled language models in accordance with the strategies and future legislations of the EU. ELOQUENCE will thus work upon the solutions that paved the way for a robust ecosystem in the domain of conversational agents such as the chatGPT, LaMDA2, or LLaMA3. The project will thus exploit pre-trained LLMs and tailor them to specific domains, with considerations given to green computing and eventual regulations on AI. This will result in a more trust-worthy LLM with mitigated impact from the usual memory distortion. Objectives ELOQUENCE is set to achieve its goal by putting in place use cases to validate the technologies it will produce. These will be segmented into four settings, the first being a language model learning through decentralised training in smart homes. This setting will pay close attention to the fundamental rights of privacy and data protection. The project will also delve into context-aware language model detecting biases. The project will also aim at retrieval-augmented LLMs as virtual agents, capable of understanding the user’s goals, making calls and responding. And finally the project will aim to develop support call centres through AI-based supervision of multimodal dialogues. By integrating conversational AI agents in contact centres or smart home assistants we can improve outcomes of AI technologies to better identify and resolve the reason of a call, or any request of action.
Funder: Royal Society
Duration: March 2023 - March 2025
Funder: Horizon Europe Guarantee
Duration: January 2023 - December 2026
ReCharged is a transformative project that has the vision to develop a new integrated framework toward a practical visualisation platform in order to optimise and streamline climate resilience and whole-life carbon emission assessments for interdependent Transport and Energy Systems, Lifelines and Assets (iTESLA). To achieve this, ReCharged harnesses the power of digital technologies and data to quantify the functionality and recovery of iTESLA after hazards. This is in response to the lack of methods of assessment and communicable visualisations of consolidated climate resilience and whole-life carbon emission metrics for iTESLA. ReCharged will account for interdependencies that lead to failure propagation in transport and energy systems, to accelerate post-hazard recovery, mitigate losses and societal ramifications due to climate change. In doing so, ReCharged underpins synergies and participatory decision-making to combat siloed thinking in infrastructure management. This project will lead to 50% faster decision-making in iTESLA management, 50% reduction of carbon emissions for the two case studies analysed, create new jobs, and make Europeans fit for the Digital Age. ReCharged is a synergy that combines the exchange of interdisciplinary knowledge and tailored training of staff, through an alliance between leading academic institutions, industrial partners, SMEs, and a research and technology center. All beneficiaries are committed to exploiting and transferring their skills and knowledge, to incentivise data-driven resilience toward climate adaptation and reduce emissions in critical infrastructure. ReCharged will augment researchers' skills and career perspectives, create a community of practitioners, improve critical infrastructure, and ultimately make people feel safer
Funder: Engineering & Physical Sciences Research Council
Duration: October 2022 - September 2028
Funder: Engineering & Physical Sciences Research Council
Duration: October 2022 - September 2027
Funder: Economic & Social Research Council
Duration: February 2022 - January 2023
Funder: Department for Business Energy & Industrial Strategy
Duration: October 2021 - March 2023
Funder: Arts & Humanities Research Council
Duration: October 2021 - March 2022
Funder: London Mathematical Society
Duration: September 2021 - September 2021
Visit to U of Liverpool
Funder: British Council
Duration: February 2021 - February 2023
The aim of this project is to increase welfare of low-income population in Southeast Turkey by achieving savings in the distribution network that serves them. This will come from digitalizing the energy systems and decreasing power losses. It will allow more renewable energy installations, leading to long term economic benefits.
Funder: Engineering & Physical Sciences Research Council
Duration: January 2021 - June 2026
Funder: Engineering & Physical Sciences Research Council
Duration: January 2021 - December 2023
Funder: Engineering & Physical Sciences Research Council
Duration: January 2021 - December 2024
Funder: Innovate UK
Duration: January 2021 - June 2021
Funder: European Commission
Duration: January 2021 - December 2023
Funder: UK Research and Innovation (UKRI)
Duration: January 2021 - June 2022
Funder: Natural Environment Research Council
Duration: November 2020 - October 2022
Funder: Innovate UK
Duration: November 2020 - April 2021
Funder: Engineering & Physical Sciences Research Council
Duration: October 2020 - September 2025
Funder: Engineering & Physical Sciences Research Council
Duration: October 2020 - September 2025
Funder: Engineering & Physical Sciences Research Council
Duration: October 2020 - October 2025
Funder: Innovate UK
Duration: October 2020 - February 2021
Funder: European Commission
Duration: October 2020 - March 2024
Funder: Small Robot Company Limited
Duration: October 2020 - September 2023
Funder: British Heart Foundation
Duration: October 2020 - September 2023
Funder: Air Force Office of Scientific Research
Duration: September 2020 - February 2022
Funder: British Council
Duration: June 2020 - September 2022
The 24-month collaborative project, funded under the Newton Fund Institutional Links route with Turkey, will bring together research teams from the UK and Turkey to extend new knowledge, specifically in the field of additive manufacturing and rheological optimisation of raw materials that are tailored for 3D printing. The project ambition is to develop an understanding of material science to manufacture complex microarchitectures that will be produced using Material Extrusion as an Additive Manufacturing process. Calcium phosphate cement will be utilised and its physical properties will be engineered.
Funder: European Commission
Duration: May 2020 - April 2024
Funder: European Commission
Duration: May 2020 - April 2024
Funder: British Council
Duration: February 2020 - January 2022
Funder: Tata Motors European Technical Centre
Duration: January 2020 - July 2023
Funder: European Commission
Duration: January 2020 - December 2023
Strengthening research and innovation capacities in Kyrgyzstan through promotion of PhD degrees . • Established training teams at PC universities • Strengthened PhD programmes in KG • PhD students enrolled in new / modernised programmes in KG • Improved research & teaching competences of academic staff in KG • Increased innovative research expertise in KG
Funder: Intel Corporation
Duration: January 2020 - June 2020
Investigation on design and implementation of autonomous supply chain.
Funder: G-volution Ltd
Duration: January 2020 - December 2022
Funder: Guangxi Yuchai Machinery Company Ltd
Duration: October 2019 - October 2022
Funder: Ford Motor Co Ltd
Duration: October 2019 - September 2022
Funder: European Commission
Duration: September 2019 - August 2023