RIVER - The EU recently adopted rules requiring limits to carbon emissions and type-approval of internal combustion engines for Non-Road Mobile Machinery (Directive 97/68/EC, 01/2017). This set more stringent limits for emissions from inland waterway (IW) vessels. There is an urgent need for emission reduction due to stronger environmental standards aims. Replacing NWE’s ageing fleet with RIVER technology offers the potential for emission reduction. The objective of RIVER is to reduce or eliminate the pollutants from the polluting engines. It is expected that 6600 engines on existing vessels will need to be replaced in 2018-50 and 2400 new vessels will come into operation. RIVER aims to address these issues and to apply an Oxy-fuel combustion technology for Diesel engines that eliminates NOx (part of the GHG), and to capture, store all CO2 emissions and reduces fuel consumption by up to 15%. Partners experienced in CCS, Oxyfuel engine, treatment of CO2, Engine’s control and IWT. Partners will use the research into engine control from the Interreg 2 Seas project SCODECE and results on IWT from PROMINENT EU project to support their work in RIVER. This technology will then be tested, demonstrated and embedded on an existing vessel operating in the UK. A small-scale lab transforming CO2 into bio-solvent will be implemented and a feasibility study for a large vessel will be carried out during the project.
Project information: EC funded (via Interreg NWE), over 1.9 Million Euro funding (University of Bedfordshire about 400K Euro), 10 partners and 5 associates, grant agreement no: Interreg NWE 553, 3 years, 2017 – 2020
FCHCV - The key objectives of this project are to assess emission benefit and driving range of fuel cell hybrid vehicle technology after selecting proper component sizing. Two different hybrid vehicle architectures are considered: range-extender electric vehicle (REEV) and hybrid electric vehicle (HEV). Among commercial vehicles, light-duty commercial vehicle (e.g. delivery van), heavy goods vehicle (HGV) and bus are selected since different vehicle type would need a different system and component sizing. Two fuel cell type (PEMFC and DMFC) will be investigated to understand which fuel cell provides the best performance for each system and vehicle type. The outcome of this project would contribute accelerating the electrification of a commercial vehicle. Commercial vehicle OEMs would be able to meet the government policy by providing zero emission while offering enough driving ranges to the customer. In the end, government and council would be able to reduce emission from transportation while maintaining social benefit.
Project information: Innovate UK funded, £250k funding (University of Bedfordshire £100K), another partner – AVL Powertrain UK, grant agreement no: 133618, 1 years, 2018 – 2019
QUARTZ (Quantum Information Access and Retrieval Theory) is a Horizon 2020 Innovative Training Network (ITN) that aims to educate its Early Stage Researchers (ESR) to adopt a novel theoretically and empirically motivated approach to Information Access and Retrieval based on the quantum mechanical framework that gives up the notions of unimodal features and classical ranking models disconnected from context.
Project information: EC funded (~£3 million, 13 ESRs fully funded for 3 years, University of Bedfordshire: 2 ESRs, >£400k). 7 European partner organisations. 48 months, 2017 - 2020. Marie Skłodowska-Curie grant agreement No 721321.
MyHealthAvatar - This research project studies the feasibility of advancing future healthcare services by providing a patient empowerment service to promote patients’ participation in self-management for general health and long-term conditions, to raise self-awareness, knowledge and motivation for treatment compliance via risk appraisal and information provision, and to build and improve health literacy. The platform offers a set of tools to facilitate the management of long-term conditions, and to keep long-term health records of individual patients with the potential of direct linkage with future hospital information systems. MyHealthAvatar features technology innovation for healthcare, including a range of tools to automatically collect personal health data; techniques to assist self-knowledge discovery through the analysis and mining of personal health and activity data, including those identifying important events in personal life, recognising personal life patterns and detecting sudden lifestyle change, assessing health status, summarising individual performance, and supporting community activities.
Project information: EC funded, over 2.4 Million Euro funding (University of Bedfordshire >500K Euro), 9 partner institutions, grant agreement no: 600929, 3 years, 2013 – 2016
MyLifeHub - This project develops innovative technologies for self-monitoring of daily activities, diet, sleep, mood, blood pressure, pulse, etc., which is then utilised to assess the impact of visual impairment on the quality of life of ophthalmic patients both in general health terms and in vision specific terms. The research is conducted with direct exposure to potential beneficiaries through a close collaboration with the UK Moorfields Eye Hospital.
Project information: EPSRC funded, about £310K (University of Bedfordshire >£190K), 3 partner institutions, EPSRC, EP/L023830/1, 2014 – 2016
iManageCancer - Chronic cancer treatment places new demands on patients and families to manage their own care. The iManageCancer project supports this challenge and provides a cancer disease self-management platform designed according to the specific needs of patient groups. It focuses on the wellbeing of the cancer patients with special emphasis on psycho-emotional evaluation and self-motivated goals. The platform is designed based on clinical evidence through close collaboration between clinical experts, IT specialists and patients and will be assessed in clinical pilots for adult and paediatric cancer patients.
Project information: EC funded, about 4 Million Euro funding (University of Bedfordshire >600K Euro), 9 partner institutions, 3.5 years, 2015 – 2018
CHIC - CHIC proposes the development of clinical trial driven tools, services and infrastructures that supports the creation of multiscale cancer hypermodels (integrative models). CHIC aspires to make a breakthrough in multiscale cancer modelling through greatly facilitating multi-modeller cancer hyper-modelling and its clinical adaptation and validation. Standardization of model description and model “fusion” are two of the core means to achieve this goal. The creation of such elaborate and refined hypermodels is expected to sharply accelerate the clinical translation of multi-scale cancer models and onco-simulators following their prospective clinical validation.
Project information: EC funded, over 10 Million Euro funding(University of Bedfordshire >600K), 16 partner institutions, grant agreement no: 600841, 4 years, 2013 – 2017
Dr Inventor – Dr Inventor is the first web-based system that supports the exploration of scientific creativity via a computational approach, which overcomes human limitations in creativity through the retention of potentially useful comparisons between relevant works due to a broader awareness of the state-of-the-art. It features interesting functionalities that provide computer-generated research concepts and workflows that would be thought as creative if performed by a human.
Project information: EC funded, about 2.6 Million Euro funding (University of Bedfordshire >400K), 8 partner institutions, grant agreement no: 611383, 3 years, 2014 – 2017
GPSME – A General Toolkit for “GPUtilisation” to speed up computing performance in SME applications.
Project Information: EC, FP7-SME, grant agreement no: 286545, Total EC contribution:>1.1 million EUR, contribution to University of Bedfordshire: >500K EUR. 2011 – 2013
Project Information: EPSRC funded project, EP/F066473/1, Standard Research (Principal Investigator), 2008 – 2009
Project Information: EPSRC funded project, EP/C006623/1, Standard Research (Principal Investigator), 2005 – 2008
CARRE - The project investigates technologies for empowering patients with comorbidities (multiple co-occurring medical conditions), or persons with increased risk of such conditions, especially in the case of chronic cardiac and renal disease patients.
Project information: EC funded, about 2.6 Million Euro funding, 6 partner institutions, 3 years 2013 – 2016
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