Keynote Speakers 专家报告
ICIM2017 Keynote Speakers 
Prof. Shuliang Li

PhD, Life Fellow of the British Computer Society, IEEE member
Reader in Business Information Management & Systems Westminster Business School, University of Westminster, United Kingdom
(Also Sichuan 100-Talent Scheme Visiting Professor at Southwest Jiaotong University, China)

Biography: Prof. Dr Shuliang Li is a Reader in Business Information Management at Westminster Business School, University of Westminster. He acted as BIM&O departmental Research Leader from January 2010 to July 2013. Prof. Li is also Sichuan 100-Talent Scheme Visiting Professor in China for research collaboration purposes. He is a life Fellow of the British Computer Society (FBCS).
(Official Web page:

Title of Speech: Data, Information, Knowledge, Models & Systems for Decision Making in the Digital Age  

Abstract: This keynote speech is concerned with data, information, knowledge, models & systems for decision making in the digital age. In particular, the following topics will be covered.
- Safety supervision of coal mining in China: Adapted evolutionary jungle model, and simulation and analysis of the co-evolution process of the interaction between supervision agents and the enterprise agents, and investigate how the stable coexistence equilibrium point can be reached, with validation conducted using safety supervision data and China coal mine mortality rate per million ton From 1949 to 2015. (Dingxuan Huang, Shuliang Li & David Barnes)
- Density game analysis of supply side symbiosis behaviour of green buildings considering the construction market carrying capacity (Dingxuan Huang & Shuliang Li)
- Agent-based dynamic simulation of the dynamic evolution of enterprise carbon assets, heterogeneity analysis of the management strategies for enterprise carbon assets, and enterprise carbon management from the perspective of carbon asset value space (Yin Zeng, Shuliang Li, et al.)
- Open innovation: intelligent model, social media & complex adaptive system simulation (Shuliang Li, Jim Zheng Li, et al.)
- A framework, model and software prototype for modelling and simulation for deshopping behaviour and how companies respond (Shawkat Rahman & Shuliang Li)
- Integrating multiple agents, simulation, knowledge automation and fuzzy logic for international marketing decision making (Shuliang Li & Jim Zheng Li)
- A Web-based hybrid intelligent system & knowledge automation for combined conventional, digital, mobile, social media and mobile marketing strategy formulation (Shuliang Li, Jim Zheng Li, et al.)
- A hybrid intelligent model for Web & social media dynamics, and evolutionary and adaptive branding (Shuliang Li)
- A hybrid paradigm for modelling, simulation and analysis of brand virality in social media (Shuliang Li & Jim Zheng Li)
- Investigating survivability of configuration management tools in unreliable and hostile networks (Tero Karvinen & Shuliang Li)
- Multi-agent-based simulation study on allowance allocation management of carbon dioxide emissions in China (Nanfeng Liu, Shuliang Li & Lili Fan)
- Project knowledge context extraction (Jin Xu, Zheng Li & Shuliang Li)  


Prof. Yan Yang PhD, IEEE/ACM Member

Vice Dean of School of Information Science & Technology, Southwest Jiaotong University, China
Vice Chair of ACM Chengdu Chapter
Key Lab of Cloud Computing & Intelligent Technology, Sichuan Province

Biography: Prof. Yan Yang is currently Professor and vice dean of Information Science and Technology, Southwest Jiaotong University. She worked as a visiting scholar at the Center of Pattern Analysis and Machine Intelligence (CPAMI) in Waterloo University of Canada for one and half year. She is an Academic and Technical Leader Candidate of Sichuan Province. She has participated in more than 10 high-level projects recently, such as five programs supported by the National Natural Science Foundation of China (NSFC). Prof. Yang has authored and co-authored over 130 papers in journals and international conference proceedings. She also serves as the Vice Chair of ACM Chengdu Chapter, Member of IEEE, Senior Member of CCF and CAAI, Member of CCF Artificial Intelligence and Pattern Recognition, Member of CAAI Machine Learning, Deputy Secretary General of Sichuan Province Computer Society. (Official Web page:

Title of Speech: Multi-view Learning and Clustering for Big Data 

Abstract: Multi-view learning and clustering, which provides a hopeful way to seek a category of the data with multiple views, has attracted considerable attention in recent years. However, many existing methods are not yet adapted to the challenges of big data, which is much more complicated than ever before with multi-view characteristics. By exploiting the complementary and consistency information from multi-view data, the multi-view clustering aims to get better clustering quality rather than rely on the individual view. The main challenge is how to integrate this information and give a compatible clustering solution across multiple views. In this talk, I will discuss multi-view learning and clustering, and also give several examples of mining big data being conducted in my research group. 


Plenary Speaker
Prof. Lili Yang Fellow of BSC, Chartered IT professional, PhD

Visiting professor of Northeastern University in China; visiting professor of China University of Petroleum
Reader in the School of Business and Economics at Loughborough University, United Kingdom.

Biography: Lili Yang Prof. Dr Lili Yang is a Reader in the School of Business and Economics at Loughborough University, UK. She has conducted a significant amount of research both independently and working in team. As the principal investigator she has led 12 projects and carried out 4 projects as co-investigator. The total budget has reached to over £3 million. Her recent publications appear in the top journals such as Information Systems Research, European Journal of Operational Research, Technological Forecasting and Social Changes, to be named. She was invited by the UK Cabinet Office and gave a presentation to their staff in London. Her research has generated impact to the research community in the whole world.
(Official Web page: ).

Title of Speech:  tApp: a real data and information management system for water saving

Abstract: In the history of humanity, water plays a key role in sustaining life and building of social structures. With the climate change and population growth, it has posed potential threats towards water resources sustainability. Conservation of water has a high priority around the globe. How to collect real time data and information for water conservation, what information should be retrieved, and when and where intervention strategies take place has become a challenging research problem. This talk will present the outcomes of our large scale project on water management named as ISS-EWATUS __ Integrated Support System for Efficient Water Usage and Resources Management (
tApp, a new smartphone and tablet app has been developed at Loughborough University as part of Europe-wide initiative motivated by global water shortages. It is a real time data and information management system for water saving. This app system uses wireless sensors attached to water appliances to collect information about usage and improves water consumption behaviour of households. Data about every appliance such as taps, dishwashers, showers, washing machines, is wirelessly recorded and sent to the app installed in a user’s phone/tablet linked to the central database server. The system is then able to analyse and show households which of their appliances is using the most water, and which behaviour or habits of the households are not encouraged, rather than simply giving a total usage figure for the whole household. The tApp system will allow people to manage their consumption more economically.


Invited Speaker
Tero Karvinen

Haaga-Helia University of Applied Sciences, Finland

Biography: Mr Tero Karvinen is author and teacher. He has co-authored five books on rapid prototyping, including Amazon category best sellers "Make: Arduino Bots and Gadgets" and "Make: Sensors". His books have been translated to more than ten languages, including Chinese. He teaches Linux, configuration management and embedded systems in Haaga-Helia University of Applied Sciences in Helsinki, Finland. He previously worked as a CEO of a small advertisement agency.

Title of Speech: Investigating Survivability of Configuration Management Tools in Unreliable and Hostile Networks

Abstract: A configuration management system (CMS) can control large networks of computers. A modern CMS is idempotent and describes infrastructure as code, so that it uses a description of the desired state of a system to automatically correct any deviations from a defined goal. As this requires both complete control of the slave systems and unquestioned ability to provide new instructions to slaves, the private key of the master is highly valuable target for attackers. Criminal malware networks already survive in hostile, heterogeneous networks, and therefore, the concepts from those systems could be applied to benign enterprise CMSs. We describe one such concept, the hidden master architecture, and compare its survivability to existing systems using attack trees.  



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