GLOBAL - QM-CHINA

全球 - QM-中国

• 批准号: EP/K004484/1
• 负责人: Jeremy Kilburn
• 金额: $ 63.64万
• 依托单位: Queen Mary University of London
• 依托单位国家: 英国
• 项目类别: Research Grant
• 财政年份: 2012
• 资助国家: 英国
• 起止时间: 2012 至 无数据
• 项目状态: 已结题
• 来源: https://gtr.ukri.org/projects?ref=EP%2FK004484%2F1
• 关键词: GLOBAL; QM; CHINA

The context of the researchAs China is set to be the major source of global economic growth for the next decades, it is clearly essential that the UK is linked into and can benefit both from the excellent research that is being fostered in China (China's engineering research is already in the world top three for impact, for example, and second in Physics, with nearly 20% of world papers), and from the potential for the exploitation and implementation of that research. Queen Mary has an outstanding track record of working in collaboration with Chinese partners. Our ability to collaborate successfully with China HEI's is best evidenced in our long-term award-winning partnership with China in teaching providing IET-accredited joint (dual) degree programmes in telecommunications with BUPT, but also through institutional partnerships and research centres, and through numerous individual research collaborations. Our track record of working with industrial partners in China builds on the Innovation China UK (ICUK) programme which was the first UK-China collaboration to promote joint innovation and knowledge transfer. Launched in 2007, the £4.9 million HEFCE and BIS-funded initiative, was led by Queen Mary and with the end of the original funding ICUK has been embedded into Queen Mary's business development unit.Projects aims and objectivesThe overarching aim of the project is to develop sustainable research collaborations with key and significant Chinese partners. We will build on the strengths of both traditions and of the partner organisations to ensure long-term sustainability through appropriate funding streams, while recognising the significant barriers (both cultural and operational) that exist on both sides. The project has two major strands:The expansion of strong existing links with the Beijing University of Posts and Telecommunications (BUPT) into significant research collaborations on wireless, Internet of Things (IoT), sensors, software-defined networking, content-aware network infrastructures, and social media, leading to a sustainable laboratory with legal status capable of participating in mainstream Chinese research.The development of significant, long-term collaborations in Materials with China, centred on a Sino-British Materials Research Institute to be established in 2012 with Sichuan University (SCU), initially focussing on functional materials, including organic electronics and spintronic materials, computational physics, polymer science, materials chemistry and biomaterials.Key features of our strategy for long-term engagement with Chinese partners are:1) a focus on the next generation of research leaders in China, through engagement with postgraduate Chinese researchers;2) close engagement of end users, technology community and policy makers in China for developing industry focused applications and influencing technology strategy development for UK;3) developing understanding of academic culture and practice in both UK and China for the Chinese and UK academic participants, respectively Projects potential applications and benefitsWe believe that there will be very significant benefits to both academic and non-academic communities (detailed in the 'academic beneficiaries' and 'impact' summaries) in:1) developing sustainable models for research collaboration with Chinese universities;2) developing a deeper understanding of, and solutions to, the cultural and operational barriers to such research collaborations;3) significant new outputs in the general areas of telecommunications and materials research;4) developing and promoting knowledge transfer opportunities for Queen Mary's and UK research in China.We fully expect to apply the approaches we develop through this project to further our collaborations with other key and high quality HEI partners in China.

中国研究的背景将成为未来几十年的全球经济增长的主要来源，显然，英国必须从中国促进的优秀研究中融入并可以从中受益（中国的工程研究已经在世界上的前三名，例如，在物理学中获得了第二名，而在世界论文中获得了近20％的企业，以及从世界论文中获得了近20％的剥削和实施。玛丽皇后（Queen Mary）与中国合作伙伴合作，拥有出色的记录。我们与中国成功合作的能力在与中国的长期屡获殊荣的合作伙伴关系中最好地证明了我们在与BUPT的电信中提供IET认可的联合（双重）学位课程，以及通过机构合作伙伴关系和研究中心，以及通过机构合作伙伴关系和研究中心。我们与中国工业合作伙伴合作的记录是建立在中国创新（ICUK）计划的基础上，该计划是英国 - 中国首次合作，旨在促进联合创新和知识转移。 490万英镑的HEFCE和BIS资助的倡议于2007年发行，由玛丽皇后领导，并结束了原始资金，ICUK已嵌入了玛丽皇后的业务发展部门。项目的目标和该项目的Absocivesivesthe总体目的是发展与关键和重要中国合作伙伴的可持续研究合作。我们将基于传统和合作伙伴组织的优势，以通过适当的资金流确保长期可持续性，同时认识双方都存在的重大障碍（文化和运营）。该项目有两个主要方面：与北京大学邮政与电信大学（BUPT）的牢固联系扩展到有关无线，物联网（IoT），传感器，软件定义的网络，内容了解网络基础架构以及社交媒体的中国与中国综合研究中的合作型合作的重要研究的重要研究合作，从而在中国的材料中进行了重要的研究。在2012年与四川大学（SCU）成立的中国材料研究所上，最初关注功能材料，包括有机电子和旋转材料，计算物理学，聚合物科学，材料化学和生物材料的关键。与我们长期参与中国党的策略的策略的策略是中国研究人员的关注：1）在中国的策略中，这是：1），这是由中国研究人员的关注：1。中国最终用户，技术界和政策制定者用于开发行业以行业为中心的应用程序并影响英国的技术战略； 3）在英国和中国对中国和英国学术参与者的学术文化和实践的理解分别分别投射潜在的应用和福利，我们相信，对学术和非学术社区有着非常重大的好处。关于此类研究合作的文化和运营障碍的以及解决方案； 3）在电信和材料研究的一般领域中的重要新产出； 4）为中国的玛丽皇后和英国研究开发和促进知识转移机会。我们完全期望我们通过该项目开发这些方法，以进一步与我们在中国进行其他重要合作和高质量的HEI Partners合作。

项目成果

Field-induced single-ion magnetic behaviour in a highly luminescent Er3+ complex

• DOI: 10.1016/j.matchemphys.2015.04.059
• 发表时间: 2015-06
• 期刊: Materials Chemistry and Physics
• 影响因子: 4.6
• 作者: J. T. Coutinho;L. Pereira;P. Martín‐Ramos;P. Martín‐Ramos;M. R. Silva;You‐Xuan Zheng;X. Liang;H. Ye;Yung-Shu Peng;P. Baker;P. B. Wyatt;W. Gillin;W. Gillin

Dynamic Channel Reservation Based on Forecast in Cognitive Radio

认知无线电中基于预测的动态信道预留

• DOI: 10.1109/vtcspring.2013.6692522
• 发表时间: 2013
• 作者: Deng S

Impurity effects on charge transport and magnetoconductance in a single layer poly(3-hexyl-thiophene) device

杂质对单层聚（3-己基噻吩）器件中电荷传输和磁导的影响

• DOI: 10.1063/1.4950859
• 发表时间: 2016-05
• 期刊: Applied Physics Letters
• 影响因子: 4
• 作者: Hang Gu;Shankui Chang;Haizhou Lu;David F. Holford;Tingting Zhang;Jianxu Hu;William P. Gillin;Theo Kreouzis
• 通讯作者: Theo Kreouzis

Parallelized Jaccard-based Learning Method and MR Implementation for Mobile Devices Recognition from Massive Network Data

基于Jaccard的并行学习方法及海量网络数据移动设备识别的MR实现

• 期刊: China Communications Journal
• 作者: Jun LIU (Co-Author)