报告题目：Intelligent Decision Support for Intelligence Data Analysis
报告人：Qiang Shen（Professor，Director of the Institute of Mathematics, Physics and Computer Science，Aberystwyth University，Wales）
Solving complex real-world problems usually requires intelligent decision-making. This typically involves the analysis of a large volume of vague and indiscernible information. For example, intelligence experts have commented that failures in detection of terrorist activity are often due to the difficulty in relating and interpreting the available intelligence, rather than a lack of data. Whilst experienced analysts can suggest plausible scenarios, the sheer amount of possibly relevant data may not be humanly interpretable in a given time-frame. The hypothetical (re-)construction of the events that may have generated the intelligence data, therefore, presents an interesting and significant research topic.
This talk will present a knowledge-based framework for the development of intelligent decision support systems under uncertain environments. This helps to assist (but not to replace) intelligence analysts by: a) identifying plausible scenarios of criminal or terrorist activity, and b) assessing the reliability, risk and urgency of generated hypotheses. In particular, the talk will introduce an integrated use of a number of recent advances in fuzzy systems for the monitoring and interpretation of intelligence data. The work offers an effective means for the generation and assessment of plausible scenarios, facilitating potentially rapid response in devising and deploying preventive measures. The talk will conclude with an outline of opportunities for further development.
Professor Qiang Shen received a PhD in Knowledge-Based Systems and a DSc in Computational Intelligence. He is Director of the Institute of Mathematics, Physics and Computer Science at Aberystwyth University, a Fellow of the Learned Society of Wales, a REF 2014 panel member for Computer Science and Informatics, and a long-serving Associate Editor of two IEEE flagship Journals (IEEE Transactions on Cybernetics and on Fuzzy Systems). Professor Shen has chaired and given keynotes at numerous international conferences. His current research interests include: computational intelligence, reasoning under uncertainty, pattern recognition, data mining, and their applications for intelligent decision support (e.g., crime detection, consumer profiling, systems monitoring, and medical diagnosis). He has authored 2 research monographs and around 320 peer-reviewed papers, including an award-winning IEEE Outstanding Transactions paper. Professor Shen has acted as the first supervisor of over 40 PDRAs/PhDs, including one UK Distinguished Dissertation Award winner.
Professor Shen was a London 2012 Olympic Torch Relay torchbearer, carrying the Olympic torch in celebration of the centenary of Alan Turing. The official nomination stated that “Professor Shen, as a world-leading researcher in computational intelligence and ambassador for computer science, would be a fitting tribute to Alan Turing, and an inspiration to future generations of scientists and engineers.”