Category / BU2025

IMIV MRI Research Project Scheme 2023 – 2nd call closing 1st Oct

Earlier this year, we were delighted to award 80 hours’ scanning time to a study examining the impact of cold water immersion on depression, under the IMIV MRI Research Scheme 2023.

The second call for applications for the Scheme is currently still open, but closes on 1st October.

Under the scheme, imaging research projects can apply for up to 100 hours of scanning time on the IMIV’s state-of-the-art 3T Siemens Lumina MRI scanner.

  • The focus of the scheme is on multi-disciplinary and cross-institutional projects, and priority will be given to projects with a clinical partnership.
  • All research projects must have a Bournemouth University researcher as lead or co-lead applicant.
  • Projects must be able to demonstrate how they will lead to peer-reviewed academic outputs and external funding applications for further MR imaging studies.

Please note: the award does not cover any additional expenses related to scanning, or other aspects of the project.

For further information and an application form, please email imiv@bournemouth.ac.uk.

Revolutionising Industries: The Significance, Impacts, and Reliability of Nanocoatings

Application

Introduction:

Nanocomposite coatings, a ground-breaking development in materials science, have emerged as a transformative force across various industries. These coatings, with their unique properties and applications, hold immense promise for enhancing performance, reducing maintenance costs, and addressing critical global challenges. In this comprehensive review, we delve into the key significance of nanocoatings in a range of industries, their substantial impacts, and their reliability [1–4]. Furthermore, we explore how Professor Zulfiqar Khan is collaborating with generative AI and predict the potential benefits of this partnership for industry and contributions to new knowledge. This narrative aims to influence UK science and technology policy, attract funding, and foster new partnerships to drive innovation and competitiveness.

Application
  1. The Multifaceted Significance of Nanocoatings:

Nanocoatings in Cavitation and Beyond:

Nanocomposite coatings have brought transformative advantages to industries grappling with issues such as cavitation, corrosion, tribology, and fluid dynamics. They provide enhanced protection and resilience in the face of harsh operational conditions, including extreme temperatures, high pressures, corrosive environments, and minimal lubrication. The significance of nanocoatings lies in their ability to extend the lifespan and reliability of vital components and systems across multiple sectors.

Nanocoatings Addressing Global Challenges:

Industries today are confronted with pressing global challenges, such as energy efficiency, sustainability, and system durability. Nanocoatings offer innovative solutions to these challenges by optimising surfaces and interfaces through surface modifications and coatings. They play a pivotal role in enhancing energy efficiency, ensuring the reliability of systems, and promoting sustainability. These benefits are invaluable in the context of UK science and technology policy, which emphasises the transition to greener technologies and sustainable practices.

  1. The Impact of Nanocoatings:

Academic and Industrial Benefits:

The development and application of nanocoatings have not only enriched academic research but have also provided tangible industrial advantages. Researchers worldwide are actively engaged in studying several types of nanocomposites to create durable and energy-efficient coatings. This collaboration between academia and industry fosters innovation, encourages knowledge exchange, and accelerates the adoption of innovative technologies. It aligns with the UK’s vision of becoming a leader in innovation and technology development.

Experimental Advancements:

Professor Khan’s work exemplifies the impact of nanocoatings on the industry. His experiments with alumina, silicon carbide, zirconia, and graphene nanocomposite coatings have displayed their robustness under different conditions, including exposure to seawater. Such empirical evidence guides industry practitioners in selecting the right coatings for their specific applications, reducing maintenance costs, and ensuring system reliability.

III. Reliability of Nanocoatings:

Advanced Modelling and Predictive Tools:

One key aspect of nanocoatings’ reliability lies in the advanced modelling and predictive tools developed by researchers like Professor Khan. His cathodic blistering model (Khan-Nazir I) [5] and coating failure model (Khan-Nazir II) [6] offer a deeper understanding of coating behaviour under stress, wear, and corrosion. These models enable precise predictions of coating performance, which is crucial for industries seeking dependable solutions.

Lubrication Modelling:

Furthermore, lubrication modelling, which incorporates wear-corrosion and mechano-wear equations, investigates the influence of microstructural properties like porosity and surface stresses on the coefficient of friction (CoF). This is vital in ensuring the reliability of systems operating under various conditions, as reduced friction leads to increased durability.

  1. Collaboration with Generative AI:

Harnessing AI for Materials Discovery:

Professor Zulfiqar Khan’s collaboration with generative AI represents an exciting frontier in materials science. Generative AI can accelerate materials discovery by simulating and predicting the behaviour of nanocomposite coatings with unmatched speed and accuracy. By leveraging AI, researchers can design coatings tailored to specific industry needs, further enhancing their reliability and performance.

  1. Predicted Benefits and Contributions:

Industry Advancements:

The partnership between Professor Khan and generative AI holds the promise of revolutionising industries. Predictive modelling and AI-driven materials discovery will enable the creation of coatings that are not only more reliable but also more cost-effective to produce. This will stimulate innovation, reduce downtime, and boost competitiveness across sectors such as aerospace, automotive, energy, and manufacturing.

Contribution to New Knowledge:

The collaboration will undoubtedly contribute to new knowledge in materials science, computational modelling, and AI-driven materials discovery. This research can inform policy decisions and attract funding for initiatives aimed at harnessing AI for materials development. As the UK government seeks to position the nation as a global innovation hub, investments in cutting-edge research of this nature will be pivotal.

  1. Influencing UK Science & Technology Policy:

Nurturing Technological Leadership:

To influence UK science and technology policy, it is imperative to underscore the role of nanocoatings and AI-driven materials discovery in nurturing technological leadership. Emphasising the potential economic and environmental benefits of these innovations can encourage policymakers to prioritise investments in research and development.

Supporting Sustainable Practices:

Aligning nanocoatings with the UK’s sustainability goals is crucial. Highlighting how these coatings enhance the sustainability and reliability of systems can resonate with policymakers keen on promoting sustainable practices and technologies.

VII. Forging Partnerships:

It is essential to articulate the transformative impact of nanocoatings and AI collaborations on industry and the potential for significant contributions to knowledge. Presenting a clear roadmap for how investments will yield tangible results can attract the attention of funding bodies interested in fostering innovation.

Industry-Academia Synergy:

Lastly, forging partnerships between academia and industry is fundamental. Collaborations that integrate academic research with industry needs can ensure that innovations like nanocoatings find practical applications and drive economic growth.

In conclusion, nanocomposite coatings represent a pivotal advancement with far-reaching significance and impacts across industries. Professor Zulfiqar Khan’s collaboration with generative AI holds immense promise for further enhancing their reliability and performance. This partnership aligns with UK science and technology policy objectives, attracting funding and fostering collaborations that will drive innovation and competitiveness, positioning the UK as a global leader in materials science and technology.

Acknowledgement: This article is written in collaboration with GAI.

References

[1]       Nazir, M.H.; Khan, Z.A.; Saeed; Bakolas, V.; Braun,W.; Bajwa, R. Experimental analysis and modelling for reciprocating wear behaviour of nanocomposite coatings. Wear 2018, 416, 89–102. [CrossRef]

[2]       Nazir, M.H.; Khan, Z.A.; Saeed, A.; Siddaiah, A.; Menezes, P.L. Synergistic wear-corrosion analysis and modelling of nano composite coatings. Tribol. Int. 2018, 121, 30–44. [CrossRef]

[3]       Abdeen, D.H.; El Hachach, M.; Koc, M.; Atieh, M.A. A Review on the Corrosion Behaviour of Nanocoatings on Metallic Substrates. Materials 2019, 12, 210. [CrossRef] [PubMed]

[4]       Nazir, M.H.; Khan, Z.A.; Saeed, A.; Bakolas, V.; Braun,W.; Bajwa, R.; Rafique, S. Analyzing and Modelling the Corrosion Behavior of Ni/Al2O3, Ni/SiC, Ni/ZrO2 and Ni/Graphene Nanocomposite Coatings. Materials 2017, 10, 1225. [CrossRef]

[5]       Nazir, M.H.; Khan, Z.A.; Saeed, A.; Stokes, K. A model for cathodic blister growth in coating degradation using mesomechanics approach. Mater. Corros. 2016, 67, 495–503. [CrossRef]

[6]       Nazir, M.H.; Khan, Z.A. A review of theoretical analysis techniques for cracking and corrosive degradation of film-substrate systems. Eng. Fail. Anal. 2017, 72, 80–113. [CrossRef]

UK’s Carbon Emissions Progress

UK’s Carbon Emissions Progress

UK's Carbon Emissions Progress

UK’s Carbon Emissions Progress [stock image]

Advancing Towards a Sustainable Future: Evaluating the UK’s Carbon Emissions Progress and Energy Portfolio

Introduction:

Professor Zulfiqar Khan has been working in Energy Capture, Conversion and Storage for more than a decade which has led to significant outcomes for UK industry in terms of technological innovations to meet UK net zero targets and UNSDGs by agreed deadline.

In addition, energy efficiency in interacting systems and complex machines have been at the heart of Professor Khan’s research at BU. Machines and interacting systems use lubrication and therefore sustainability context is key to be taken forward into design considerations. Both the above themes have provided a platform for interdisciplinary research in collaboration with major UK and International Industry and HEIs partners.

Professor Khan has been collaborating with Generative AI in terms of clean energy and future goals to reduce our dependency on non-renewable energy technologies. Although, unlike his longstanding industry collaboration, his GAI partnership is in its initial stages, Professor Khan believes that there are opportunities to drive clean energy research forward to realise UK targets and UNSDGs in collaboration with GAI.

The United Kingdom has embarked on a transformative journey towards sustainable energy solutions, marked by its commitment to reducing carbon emissions and aligning with the United Nations Sustainable Development Goals (SDGs). This article presents a comprehensive overview of the UK’s current state of progress in carbon emissions reduction, its contributions to the UNSDGs, and the intricate details of its energy portfolio. The following brief article is written in collaboration with Generative AI.

Progress in Carbon Emissions Reduction:

Carbon Emissions Reduction Targets:

The UK’s resolute commitment to achieve Net Zero by 2050.

Noteworthy reduction of carbon emissions by 51% since 1990 levels by the year 2019.

Renewable Energy Sources:

A remarkable 48% of electricity generated from renewable sources in 2020. Continuous expansion of wind and solar energy capacity.

Energy Efficiency:

Implementing energy-efficient measures in both industrial sectors and households.

Contributions to UN Sustainable Development Goals (SDGs):

Affordable and Clean Energy (SDG 7):

The UK’s renewable energy sector has generated over 100 TWh of electricity, making a significant contribution to SDG 7.

Industry, Innovation, and Infrastructure (SDG 9):

Substantial investments exceeding £2.5 billion have been directed towards innovative energy capture and storage technologies, fostering economic growth while minimizing environmental impact.

Climate Action (SDG 13):

The UK’s remarkable carbon emissions reduction of 51% surpasses the SDG 13 target to combat climate change.

Challenges and Areas for Improvement:

Transportation Sector:

Electrification and the promotion of alternative fuels remain pivotal for addressing emissions in the transportation sector.

Energy Storage:

Enhancing energy storage solutions is imperative to address the intermittent nature of renewable energy sources effectively.

Carbon Capture, Utilisation, and Storage (CCUS) Technologies:

The development and integration of CCUS technologies for heavy industries are crucial for reducing carbon emissions further and aligning with climate goals.

The UK’s Energy Portfolio (2020):

Energy

Type/Technology

Energy Output

(TWh)

Energy Consumption

(TWh)

Natural Gas 338.6 465.3
Oil 143.8 231.5
Coal 2.3 9.1
Nuclear 55.9 61.8
Renewables

(Total)

132.3 283.1
Imports 7.4 N/A (included in total)

Market Share (2020):

Natural Gas: 38.5%

Oil: 16.4%

Coal: 0.3%

Nuclear: 7.9%Renewables (Total): 18.7%Imports: 3.6%

Interpretation:

Non-renewable sources still dominate the UK’s energy portfolio, comprising approximately 63% of energy output in 2020.

Natural gas is the largest contributor to both energy output and consumption.

The transition to renewable energy sources, particularly wind and biomass, is vital for reducing the UK’s carbon footprint.

Conclusion:

The United Kingdom’s commendable progress in carbon emissions reduction, aligned with UN SDGs, signifies a dedicated commitment to a sustainable future. While substantial headway has been made, addressing challenges in transportation, energy storage, and the integration of CCUS technologies is paramount. The UK continues to lead the path towards a low-carbon future by aligning policies with UN SDGs and promoting sustainable energy solutions.

IMIV MRI Research Project Scheme 2023 – Call Re-opens

The Institute of Medical Imaging and Visualisation (IMIV) has re-opened its call for applications for the IMIV MRI Research Project Scheme 2023.

Under the scheme, imaging research projects can apply for up to 100 hours of scanning time on the IMIV’s state-of-the-art 3T Siemens Lumina MRI scanner.

  • The focus of the scheme is on multi-disciplinary and cross-institutional projects, and priority will be given to projects with a clinical partnership.
  • All research projects must have a Bournemouth University researcher as lead or co-lead applicant.
  • Projects must be able to demonstrate how they will lead to peer-reviewed academic outputs and external funding applications for further MR imaging studies.

Please note: the award does not cover any additional expenses related to scanning, or other aspects of the project.

Deadline for applications: 1st October 2023. 

For further information and an application form, please email imiv@bournemouth.ac.uk.

Ageing and Dementia Research Forum – 29th June – Digital Health Coaching DIALOR

Details of the next ADRC ageing and dementia research forum are listed below. The forum is an opportunity for staff and PhD students to get together to chat about research and share experiences in a safe and supportive environment. Specific topics are discussed but there is also time for open discussion to mull over aspects of research such as project ideas and planning, ethical considerations and patient and public involvement.

Date, time, and campus Research areas
29th June 2023

15.00-15.45

BG601, Bournemouth Gateway

Lansdowne Campus

‘Digital health coaching for older people with frailty in Wessex (DIALOR) ’Rachel Christie

If you would like to discuss your research ideas at a future meeting, please email Michelle mheward@bournemouth.ac.uk

We look forward to seeing you there.

Ageing and Dementia Research Centre

BU and University of Cambridge Collaboration on Traffic Prediction

Bournemouth University (BU) has collaborated with the University of Cambridge on network wide road traffic prediction. The work, led by Dr. Wei Koong Chai in BU, address the problem of traffic prediction on large-scale road networks and propose a novel deep learning model, Virtual Dynamic Graph Convolution Neural Network and Transformer with Gate and Attention mechanisms (VDGCNeT), to comprehensively extract complex, dynamic and hidden spatial dependencies of road networks for achieving high prediction accuracy. The work advocates the use of a virtual dynamic road graph that captures the dynamic and hidden spatial dependencies of road segments in real road networks instead of purely relying on the physical road connectivity.

The team designed a novel framework based on Graph Convolution Neural Network (GCN) and Transformer to analyse dynamic and hidden spatial–temporal features. The gate mechanism is utilised for concatenating learned spatial and temporal features from Spatial and Temporal Transformers, respectively, while the Attention-based Similarity is used to update dynamic road graph.

Two real-world traffic datasets from large-scale road networks with different properties are used for training and testing the model. VDGCNeT is pitted against nine other well-known models in the literature. The results demonstrate that the proposed VDGCNeT is capable of achieving highly accurate predictions – on average 96.77% and 91.68% accuracy on PEMS-BAY and METR-LA datasets respectively. Overall, our VDGCNeT performs the best when compared against other existing models.

Reference:

G. Zheng, W. K. Chai, J. Zhang and V. Katos, “VDGCNeT: A novel network-wide Virtual Dynamic Graph Convolution Neural network and Transformer-based traffic prediction model,” Knowledge-based Systems, 110676, June 2023. DOI: https://doi.org/10.1016/j.knosys.2023.110676.

Talk by Prof. Kira Nobre, this Thursday the 25th at 13.00h (Inspire Lecture Theatre, Fusion)

We would like to please draw your attention to a seminar organized by the Department of Psychology this Thursday 25th from 13.00 to 14.00 at the Inspire Lecture Theatre (Fusion Building).

 The guest speaker is Dr Kia Nobre (Oxford University), invited by Dr Ben Parris.

Kia Nobre is a distinguished figure in cognitive neuroscience, renowned for her groundbreaking research contributions. She leads the Brain & Cognition Lab at the University of Oxford. Current research in her group investigates how the brain prioritises and selects information from sensory input and from memories, to build our psychological experience and guide human behaviour. In addition, they examine how these mechanisms develop over the lifespan and how they are disrupted in psychiatric and neurodegenerative disorders.

Her research combines behavioural methods with brain imaging and brain stimulation. During her prolific career, Prof. Nobre contributed to discovering brain areas specialised for word recognition and face processing, describing the functional neuroanatomy of the brain network for controlling spatial attention and characterizing the relationship between attention and memory.

Kia Nobre is one of the most recognised cognitive neuroscientists worldwide, you are all warmly invited to attend her talk.

Kind regards,

Ellen and Emili on behalf of all of us

Knowledge Exchange BU Workshop Supporting refugees, asylum seekers and migrants in Dorset

On May 19, BU researchers in the Centre for Comparative Politics and Media Research | Bournemouth University, Alina Dolea, Tabitha Baker and Dawid Pekalski, are organizing an interactive knowledge exchange workshop with local stakeholders to facilitate sharing of experiences and best practices in supporting refugees, asylum seekers and migrants in Dorset.

Academics researching issues of displacement and forced migration across BU will be joined by representatives from Dorset Council, BCP Council, Citizen advice, Public Health Dorset, International Care Network, British Red Cross, Migrant Help UK, Dorset Race Equality Council, as well as other local groups and stakeholders.

One objective of the workshop is to understand the dimensions of displacement and migration in the BCP and Dorset area, mapping the programs run, but also the issues faced by the councils and the different organisations in their work with refugees, asylum seekers and other migrant communities. Another objective is to understand, also from the beneficiaries’ perspective, their needs, gaps and current issues they are facing. Together we aim to get to know more about each other’s work, discuss and reflect on the national and local policies, programs, networks of support and integration that are in place.

Our overall goal for the day is to identify areas of collaborations so that we as academics and researchers can help and actively contribute to the current infrastructure of support and integration. The collaboration can range from volunteering and exploring placement opportunities for our students, co-creating projects, and organizing joint events, to delivering applied workshops and trainings, as well as providing research insights to inform policy making.

More details about the workshop are available here: Supporting refugees, asylum seekers and migrants in Dorset Tickets, Fri 19 May 2023 at 10:00 | Eventbrite

Neural Networks 2022 Best Paper Award

2022 Best Paper Award

Dr Hari Mohan Pandey is a recipient of the 2022 Best Paper Award (visit: https://www.journals.elsevier.com/neural-networks/awards/announcement-of-the-neural-networks-2022-best-paper-award):

“Cross-modality paired-images generation and augmentation for RGB-infrared person re-identification”

This paper is published in Neural Networks, volume 128, pp. 294-304, August 2020. The paper can be accessed at: https://doi.org/10.1016/j.neunet.2020.05.008

The Neural Networks Best Paper Award recognizes a single outstanding paper published in Neural Networks annually.

IMIV MRI Research Project Scheme 2023

The Institute of Medical Imaging and Visualisation (IMIV) is pleased to announce the launch of the IMIV MRI Research Project Scheme 2023.

Under the scheme, two innovative MRI research projects will each be awarded up to 100 hours of scanning time on the IMIV’s state-of-the-art 3T Siemens Lumina MRI scanner.  Applications for the scheme are now open.

  • The focus of the scheme is on multi-disciplinary and cross-institutional projects, and priority will be given to projects with a clinical partnership.
  • All research projects must have a Bournemouth University researcher as lead or co-lead applicant.
  • Projects must be able to demonstrate how they will lead to peer-reviewed academic outputs and external funding applications for further MR imaging studies.
  • Up to 100 hours of scanning time will be awarded to up to 2 research projects. The award will not cover any additional expenses related to scanning, or other aspects of the project.
  • Projects will be expected to start in the 2023-24 academic year.

Applications close on Friday 7th July 2023. 

For further information and an application form, please email imiv@bournemouth.ac.uk

Post-Doctoral Researchers, Research Assistants, ECR’s, Research Fellows

Post-Doctoral Researchers, Research Assistants, ECR’s, Research Fellows. It’s the final day of the CEDARS survey and not many of you have completed the survey. We would particularly love to hear your thoughts/feedback.

Don’t miss the chance to influence policies and initiatives relating to research at BU. Please complete the BU Vitae CEDARS survey 2023 (Culture, Employment and Development in Academic Research survey)* today. The survey closes today Friday 21st April.

This is an important survey as it benchmarks BU against the rest of the sector. It will, therefore, help us to identify where we are excelling and where there is room for improvement.

Participating in this study will also influence policy. Your input will help us to understand where to focus our efforts and resources – it will give us the data to make the argument for you. (The results of the previous PIRLS and CROS surveys that CEDARS has replaced were used to develop new policies and initiatives, as well as training and development opportunities).

The CEDARS survey is for everyone who is research-active (whether on a full-time, part-time or part-time hourly paid contract). This includes researchers at all stages in your career, those who manage researchers, or are Principal Investigators, or contribute to research by providing professional services for researchers, (i.e. researcher developers, research officers or technical staff).

Your responses will be anonymous; you will not be identified or identifiable in any published results. It will take approximately 20 minutes to complete the survey. BU Vitae CEDARS survey 2023

If you have any questions regarding the survey, please email Rachel Arnold: rarnold@bournemouth.ac.uk

 

Thank you, the Research Development and Support Team

*CEDARS is a national survey that explores the views and experiences of researchers and those supporting researchers across the UK. It is based on the Concordat to Support the Career Development of Researchers, which aims to create the best culture for researchers to thrive. This survey replaces the previous CROS and PIRLS surveys.

Please find more information here on the ‘Concordat to Support the Careers of Researchers’ and what BU is doing to support researchers.

BU-BCP collaborative initiative on sustainable urban parking

BU has collaborated with the Bournemouth-Christchurch-Poole (BCP) local council on the initiative investigating sustainable solutions to urban parking which is a challenging problem to the area especially during peak tourist periods. The study, initiated and led by Dr. Wei Koong Chai in BU, explores the possibilities of exploiting online parking reservation platforms proposed in the last decade to cope with the parking challenge by enlisting parking resources from commercial operators (e.g., lots) and individuals (e.g., driveways) and allowing drivers make online reservations through mobile apps. The platforms facilitate transactions between the two sides and best match parking supply with parking demand. In this way, we increase the supply which may be otherwise unused while maximise value for drivers and parking space providers.
The study analyses real parking data in the Bournemouth city to realistically model the rich spatiotemporal dynamics of parking demand such as the location, start times and duration of parking events. These datasets drive the experimental evaluation of the research, which reports gains of up to 35% compared to the de facto parking resource reservation policy in such platforms.
Reference:
M. Karaliopoulos, O. Mastakas and W. K. Chai, “Matching Supply and Demand in Online Parking Reservation Platforms,” in IEEE Transactions on Intelligent Transportation Systems, vol. 24, no. 3, pp. 3182-3193, March 2023, doi: 10.1109/TITS.2022.3230087.

A New Publication by MSPH researcher on Combat Trauma and Heart Rate Variability in a UK Military Cohort

Rabeea Maqsood is a 2nd year PhD student based in the department of Medical Sciences and Public Health. As a part of her PhD, Rabeea’s original research has been published in BMJ Military Health. Read it #OpenAccess here:

https://militaryhealth.bmj.com/content/early/2023/03/28/military-2022-002316.citation-tools

This is the first study- to the authors’ knowledge- to have comprehensively explored the association between combat trauma (status, severity and mechanism) and ultra-short term HRV in a large sample of 862 participants.
 The co-authors on this paper (in no specific order) are Rabeea’ supervisors: Prof. Ahmed Khattab (MSPH, BU), Prof. Christopher Boos (Department of Cardiology, UHD) and collaborators from the ADVANCE study: Prof. Alex N Bennett (DMRC, Stanford Hall), Prof. Nicola Dear (King’s College London), Prof. Anthony Bull (Imperial College London), Prof. Paul Cullinan (Imperial College London) and Miss Susie Schofield (Imperial College London).