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)
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: https://www.westminster.ac.uk/about-us/our-people/directory/li-shuliang )
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: http://userweb.swjtu.edu.cn/Userweb/yyang/index.htm)
Prof. Alan Eardley
Staffordshire University, United Kingdom
Biography: Professor W. Alan Eardley was born in Stoke-on-Trent, England in 1949. Through part-time study as a mature student, he obtained a B.A. in Business Studies with first class honours in 1984 and a Master’s Degree in Computer Science from Aston University in the U.K. in 1989. His PhD, in Strategic Information Systems from Southampton University in the U.K., supervised by Professor David Avison, was awarded in 2001. Alan is Professor of Enterprise Computing in the School of Computing at Staffordshire University in the U.K. and is an Adjunct Professor at Asia Pacific University of Technology and Innovation in Kuala Lumpur. Professor Eardley researches, publishes and supervises PhD students in knowledge management and IT strategy and teaches research methods. He is a long-standing Member of the British Computer Society and is a Chartered IT professional.
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.
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: http://www.lboro.ac.uk/departments/sbe/staff/profiles/yanglili/yang-lili.html ).
Title of Speech: A Novel Approach for Cascading Disaster Events Modeling
Abstract: Cascading disasters are disasters that occur as a direct or indirect result of an initial disaster. These cascading disasters spread disruptions in complex ways that makes them difficult to comprehend and challenging to deal with. A well-known example of such cascading disasters is the meltdown of Fukushima’s nuclear reactors, after the power plant was hit by a tsunami on 11 March 2011, which in turn was triggered by an earthquake. In order to protect, detect, react and recover effectively from natural disasters it is essential to obtain better modeling of the propagation of the cascading disasters. Many of disaster modeling techniques display weaknesses in terms of scalability, flexibility and usability, and some of them have led to disastrous consequences in practice.
In this talk, we treat cascading natural disasters as a typical Markov Chain process which describes cascading disasters that follow a chain of linked events, where what happens next depends only on the current state of the trigger disaster. We recognized that most of experts would refuse to give or agree on precise ratio-scale event probability estimates due to lack of sufficient evidence, but they feel confident to rank a list of events according to their likelihood of occurrence. The method for eliciting probabilities is named as the rank-order centroid (ROC) method.
We propose here that cascading disasters could be described as a Markov Chain model, with an initial probability being given by a ROC method, and the probability of transition from the current state to a next state being given by the CIA-ISM method. This scenario-based cascading disaster modeling approach is expected to handle social factors, environmental factors and disaster events as well as interacting relationships to estimate the evolution of a natural disaster. Therefore a better understanding and forecasting of the impacts of a sudden environmental hazard on a cascade of crises could be achieved.
Assoc. Prof. Jin Xu
Southwest Jiaotong University, China