Mr Zhe Wang

Research student

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Edinburgh Napier University Graduation Ceremony, June 2016.

1. Chair of the P2P and Grid Data Technology Track of The 8th International Conference on Complex, Intelligent, and Software Intensive Systems.July 2nd - July 4th, 2014, Birmingham City University, Birmingham, UK.

2. Chair of the Intelligent Digital Oil Field Forum 2014 Xi'an, China

3. Chair of the International Digital Oil Field Conference 2014 Beijing, China

4. Cloud & Big Data Speaker of Global Congress of Knowledge Economy-2014 (GCKE-2014), Qingdao, China

5. Case Study Researcher of Advanced Technological Solutions for Dementia Patient Monitoring, For release in the Advances in Medical Technologies and Clinical Practice (AMTCP) Book Series, IGI Global, Hershey PA, USA:2014

6. Case Study Researcher of Xi’an Petroleum University ,Xi’an China. 2014

7. Case Study Researcher of Shanghai University of Political Science and Law,Shanghai, China .2014

8. Attended and done a paper presentation about the PhD Project in the International Conference on Information Society (i-Society 2013). University of Toronto, Canada.June 24-26, 2013,  Toronto, Canada

9. Attended and done a paper presentation about the PhD Project in The 4th International Conference on Ambient Systems, Networks and Technologies, June 25-28, 2013, Halifax, Canada

10. Attended and done a paper presentation about the PhD Project in The 7th International Conference for Internet Technology and Secured Transactions (ICITST-2012),10-12, December 2012, London, UK

11. Invited Attender of the Conference of Computing Thought and University IT Teaching 2012, Xi’an JiaoTong University, Xi’an,China

 

 


 

Publications

Book Chapter:

Wang, Z., Chalmers, K. (2014). Service Evolution in Clouds for Dementia Patient Monitoring System Usability Enhancement(Book Chapter). In: (Ed.) Advanced Technological Solutions for Dementia Patient MonitoringFor release in the Advances in Medical Technologies and Clinical Practice (AMTCP) Book Series, , () ( ed.). (pp. ). IGI Global, Hershey PA, USA: . IGI Global, Hershey PA, USA.

Journal Paper :

Wang, Z., Chalmers, K. (2014). An appproch to Synergistic and Dynamic Service Evolution in Clouds. International Journal of Cloud Computing,Inderscience Publishers,Switzerland, , (), .

Wang, Z., Chalmers, K., Liu, X. (2014). Evolution Pattern Verification for Services Evolution in Clouds with Model Driven Architecture. the International Journal for e-Learning Security (IJeLS), Infonomics Society, UK, 3, (3/4), .

Tian, Y., Liu, Y., Cheng, G., Wang, Z. (2014). PCA-FNN Based Performance Prediction for Water Injection in Oilfields. In: (Ed.) Advanced Materials Research (ISSN: 1022-6680)2014 2nd International Conference on Manufacturing (Manufacturing 2014),February 9-10,2014, Singapore, , () ( ed.). (pp. ). : . .

Wang, Z., Chalmers, K., Liu, X. (2013). Evolution Feature Oriented Model Driven Product Line Engineering Approach for Synergistic and Dynamic Service Evolution in Clouds. Journal of Industrial and Intelligent Information,The 2013 2rd International Conference on Database and Data Mining,Seoul, Korean, May 11-12, 2013, , (), .

Wang, Z., Chalmers, K. (2013). Evolution Feature Oriented Model Driven Product Line Engineering Approach for Synergistic and Dynamic Service Evolution in Clouds:Four Kinds of Schema. Journal of Procedia Computer Science, In: (Ed.) Acadia University,Canada,The 4th International Conference on Ambient Systems, Networks and Technologies, June 25-28, 2013, , () ( ed.). (pp. ). Halifax,Canada: . Procedia Computer Science 00 (2013) 000–000.

Conference Paper:

Tian, Y., Liu, Y., Cheng, G., Wang, Z. (2014). PCA-ANFIS Based Prediction for Water Injection Effectiveness Cycle in Oil Fields. In: (Ed.) 2014 2nd International Conference on Energy Engineering and Environment Engineering, , () ( ed.). (pp. ). Hong Kong, China: . Proceedigs of ICEEEE 2014.

Wang, Z., Chalmers, K., Liu, X. (2013). Evolution Feature Oriented Model Driven Product Line Engineering Approach for Synergistic and Dynamic Service Evolution in Clouds:AO4BPEL3.0 Proposal. In: (Ed.) International Conference on Information Society (i-Society 2013). University of Toronto, Canada.June 24-26, 2013, , () ( ed.). (pp. ). Toronto, Canada.: . IEEE.

Wang, Z., Chalmers, K. (2013). Evolution Feature Oriented Model Driven Product Line Engineering Approach for Synergistic and Dynamic Service Evolution in Clouds:Pattern Data Structure. In: (Ed.) The 7th International Conference on Complex, Intelligent, and Software Intensive Systeme (CISIS 2013) July 3rd - July 5th, 2013, Taiwan, China, , () ( ed.). (pp. ). : . IEEE Computational Intelligence Society.

Wang, Z., Chalmers, K., Liu, X. (2012). Evolution Pattern for Service Evolution in Clouds. In: (Ed.) The 7th International Conference for Internet Technology and Secured Transactions (ICITST-2012),10-12, December 2012, , () ( ed.). (pp. ). London, UK: . Copyright © ICITST-2012 Published IEEE UK Computer Chapter.

 

Cheng, G., An, Y., Wang, Z., Zhu, K. (2012). Oil Well Placement Optimization using Niche Particle Swarm Optimization. In: (Ed.) In Proceedings of CIS'2012 (International Conference on Computational Intelligence and Security), , () ( ed.). (pp. ). GuangDong, China.: . .

 

Research Report:

 

Wang, L., Chalmers, K., Wang, Z. (2014). Improving of the University Course Teaching Methodology A Case Study. Shanghai University of Political Science and Law,Shanghai, China, , (), .

 


 
I hereby sincerely thank for all people in School of Computing, Edinburgh Napier University for your supporting on me in every progress of the PhD project, especially for Professor Jessie Kennedy and Dr Kevin Chalmers, your support is very important and essential for this PhD project. I also thanks for my Parents, Lu yanjing and Dr Cheng guojian for your continuous support on me during the PhD project.
 
This PhD project has received many excellent comments from academic and industry which shows its value for our society. I also should thank the research community that encourages me improving step by step.
 
I also thanks for all those who working in the University Library, it is your contribution that make me can reading the most advance research literature at anytime and anyplace.
 
This PhD project is sponsored by the British Royal Society of Edinburgh (RSE-Napier E4161) and the Natural Science Foundation of China (Ref: 61070030).
 

 
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    The institute's expertise in software engineering encompasses the entire development lifecycle, and we focus on developing the approaches and tools to improve the engineering process of both emerging and widely used software systems.
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z.wang2@napier.ac.uk

+44 (0)131 455 2303

Room C51
Merchiston Campus
10 Colinton Road
Edinburgh
EH10 5DT

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    Recent Projects

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    PhD Project Involvement

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    Zhe Wang (PhD 2010-)
    An approach to synergistic and dynamic service evolution in clouds.
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    Recent Publications

    Wang, L., Wang, Z. (2015). A University e-learning System to enhance higher education teaching environments ( A model-based innovative service-oriented clouds intensive evolution approach ). In: (Ed.) Advanced Materials, Structures and Mechanical Engineering: Proceedings of the International Conference on Advanced Materaials, Structures and Mechanical Engineering, , () ( ed.). (pp. ). Incheo, South Korea, May 29-31,2015.: . CRC Press.

    Wang, L., Wang, Z. (2015). Analysis on the Connotation of Probability in the Artifical Intelligence Algorithm for Economic Decision Making. In: (Ed.) Advanced in Computer Science Research, Volume 16, 2015 Atlantis Press, , () ( ed.). (pp. ). 18-19 July,2015, Zhengzhou, China: . Atlantis Press.

    Wang, L., Liu, W., Wang, Z. (2015). Research on the Mini-Enterprise Business Process Management Optimization. In: (Ed.) in the E-Business topic of the International Conference on Information Society(I-Society 2015), , () ( ed.). (pp. ). London,United Kingdom.: . Technical Co-soponsored by IEEE UK/RI Computer Chapter.

    Wang, L., Liu, W., Wang, Z. (2015). The Implementation of Mini-Enterprise Business Process Management. Volume 1, Issue 2, International Journal of Innovative Business Strategies,Infonomics Society,London,United Kingdom, 1, (2), .

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    Supervised dissertations

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