Research Awards

National Chinese and Tianjin Federal Government
Professor Durrani was awarded a three year grant under the ‘Foreign Experts ‘ and ’Thousand talent’ Program by the Chinese Government to collaborate with TJNU from January 2017.

Professor Qilian LIANG of TJNU and Professor Durrani were awarded a research contract to work on ‘Oil and Gas Detection and Reservoir Geophysics Analysis Based on Radar and Radar Sensor Networks, from March 2017-2019.

Professor Durrani and Professor Baoju ZHANg were awarded a research contract to work on Cognitive Neuroscience-Inspired Information Integration in Heterogeneous Wireless Sensor Networks, from July 2015-July 2017.

Dr Erfu YANG was awarded a research contract work to on ‘Big Data-Driven Distributed Microseismic Monitoring Method for Hydrofracturing Oil Exploration’ from June 2017-June 2019.

For a joint-project (2014-18) with China’s top ranked Tsinghua University (Beijing), titled: “Cognitive Sciences in Natural Language Processing and Sentiment Analysis” (Stirling co-PIs: Prof Hussain and Dr A Abel)

Professor Amir Hussain, Dr Jozsef Farkas, and Dr Erfu Yang, University of Stirling, awarded a British Council (China) (under 2012 Sino-UK Higher Education Research Partnership) grant for a two-year (2013-2015) joint-research project with Professor Bin Luo, Anhui University, China on “Towards a Cognitive Vision-based Multi-agent Modelling and Control Framework”. This is one of thirty grants funded by the British and Chinese Governments. The Stirling-Anhui project was ranked first by the Experts Panel, following two rounds of peer review in both the UK and China.

For a joint-research project (2012-16), with Anhua University (Hefei), on “Vision-based Coordinated Control of Multiple Autonomous Vehicles” (Stirling PI: Prof Hussain)

Professor Stephan Weiss, Centre for excellence in Signal and Image Processing, University of Strathclyde, and Dr Jian Lu of Southeast University, Nanjing, recipients of a UK Royal Academy of Engineering (RAE) ‘Research Exchange with China Scheme’ Award on the subject of ‘Rate Loss and Its Estimation in Distributed Source Coding’.  The funding facilitated a visit by Dr Jian Lu from Southeast University to the University of Strathclyde for three months during the summer 2012 to strengthen collaborative links.

Professor Steven Marshall and Dr Jinchang Ren, University of Strathclyde, awarded a grant from the Royal Society of Edinburgh and the National Science Foundation of China for an exchange project with Dr Sun Meijun of Tianjin University, China.  The project is to utilize hyperspectral image processing in the analysis of Chinese ink paintings and in the learning of relevant art styles.

Dr Erfu Yang, University of Stirling, and Professor Jun Wang, Beihang University, awarded a joint research project (April 2012 till March 2014) on “Next-generation Neurobiologically Inspired Autonomous Visual Surveillance Systems” from the National Natural Science Foundation of China and the Royal Society of Edinburgh.

The Computer Vision and Image Processing Group, University of Dundee (Emanuele Trucco, Stephen McKenna, and Jianguo Zhang) are to collaborate with Dr Weishi Zheng and his research team in Sun-Yen University, China, on a project ‘Learning from Imperfect Annotations with Applications in Medical Image Analysis’.   The project is jointly sponsored by the Royal Society of Edinburgh and the National Natural Science Foundation of China.

Research grant for a joint-project (2010-13), titled: “Next generation emotion-sensitive document analysis and semantic web mining techniques and applications” (Stirling PI: Prof Hussain). This grant was the first funded research collaboration resulting from SIPRA, with international project partners including MIT Media Lab and industry.

Professor Chenqing ZONG, National Laboratory of Pattern Recognition, CASIA, Beijing, and Professor Amir Hussain, University of Stirling, awarded funding by the Chinese Academy of Sciences and the Royal Society of Edinburgh in July 2010 for a two-year project to conduct research on cognitive signal processing and facilitate student/staff exchanges.

Comments are closed.