2015年模糊系统与数据挖掘国际学术会议
The 2015 International Conference on Fuzzy Systems and Data Mining
2015年12月12日至15日,中国,上海
• 中文版    • English
特邀嘉宾
Bernard De Baets教授

比利时根特大学数学建模、统计和生物信息学系

特邀报告:Monotonicity in fuzzy modelling and data mining
B. De Baets holds an M.Sc. degree in Mathematics (1988), a Postgraduate degree in Knowledge Technology (1991) and a Ph.D. degree in Mathematics (1995), all summa cum laude. He is a Full Professor (2008) in Applied Mathematics at Ghent University, Belgium, where he is leading the research unit Knowledge-based Systems (KERMIT, 2000) at the Faculty of Bioscience Engineering. He is an affiliated professor (2009) at the Anton de Kom Universiteit (Suriname) and an Honorary Professor (2006) of Budapest Tech (Hungary). He was a Government of Canada Award holder (1988-89) at the Intelligent Systems Research Laboratory of the University of Saskatchewan. He was elected Fellow of the International Fuzzy Systems Association in 2011 and has been nominated for the 2012 Ghent University Prometheus Award for Research.

KERMIT is an interdisciplinary team of (bio-)engineers, computer scientists and mathematicians. Its current activities consist of three interwoven threads: knowledge-based, predictive and spatio-temporal modelling. B. De Baets has acted as supervisor of 48 Ph.D. students. At present, more than 20 Ph.D. students are involved in the research activities of KERMIT, either in-house, through affiliations or in the framework of joint projects. Due to its unique position, KERMIT serves as an attraction pole for applications in the applied biological sciences.

The bibliography of B. De Baets comprises more than 370 publications in international peer-reviewed journals, 60 chapters in books and 270 contributions to proceedings of international conferences. He delivered over 200 lectures at conferences and research institutes. He has received several best paper awards (1994, 2006, 2007, 2009, 2010, 2013, 2015). B. De Baets is co-editor-in-chief (2007) of Fuzzy Sets and Systems and member of the editorial board of several other journals.
Amir Hussain教授

英国斯特林大学自然科学学院

特邀报告:Towards Cognitively-inspired Multi-modal Big Data Computation
Amir obtained his BEng (with the highest 1st Class Honours) and PhD (in novel neural network architectures and algorithms) from the University of Strathclyde in Glasgow, UK, in 1992 and 1997 respectively. Following a Research Fellowship at the University of Paisley, UK (96-98), and a research Lectureship at the University of Dundee, UK (98-00), he joined the University of Stirling in 2000, where he is currently Professor of Computing Science, and founding Director of the Cognitive Big Data Informatics (CogBDI) Research Laboratory. He has authored over 260 publications (including over a dozen Books and 80+ journal papers); conducted and led collaborative research with industry; partnered in major European research programs, and supervised more than 20 PhDs. He is an Associate Editor of the IEEE Transactions on Neural Networks and Learning Systems, IEEE Computational Intelligence Magazine, founding Editor-in-Chief of Springer’s Cognitive Computation journal, Springer/BioMed Central’s Big Data Analytics journal, SpringerBriefs in Cognitive Computation and the Springer Book Series on Socio-Affective Computing. He holds several Visiting Professorships and serves as an International Advisor to various Governmental Higher Education and Research Councils, Universities and Companies. He has served as invited/keynote speaker, general/program/organizing (co)chair for over 50 international conferences and workshops, including IEEE WCCI, IJCNN, IEEE SSCI etc. He is a member of several Technical Committees of the IEEE Computational Intelligence Society (CIS), founding publications co-Chair of the INNS Big Data Section and its annual INNS Conference on Big Data, and Chapter Chair of the IEEE UK & RI Industry Applications Society. He is a Senior Fellow of the Brain Sciences Foundation.
Ildar Batyrshin教授

墨西哥国家理工学院计算研究中心

特邀报告: On definition and construction of association measures

Ildar Batyrshin graduated from the Moscow Physical-Technical Institute, Faculty of Control and Applied Mathematics in 1975. He received PhD and Dr. Sci. (habilitation) degrees in 1983 and 1996, respectively. He served as Professor and Head of Department of Informatics and Applied Mathematics of Kazan State Technological University (currently National Research Technological University), Russia, and Leading Researcher of the Institute of Problems of Informatics of Academy of Sciences of the Republic of Tatarstan, Russia. Since 2003 he was with Research Program of Applied Mathematics and Computations of Mexican Petroleum Institute as Invited Distinguished Researcher, Leading Researcher and Project Head. Currently he is a Titular Professor "C" of the Center for Computing Research of Mexican National Polytechnic Institute. He is a Past President of the Russian Association for Fuzzy Systems and Soft Computing, a member of the Council of the Mexican Society for Artificial Intelligence, Senior Member of IEEE Computational Intelligence Society and the member of the Board of Directors of NAFIPS. He is a member of editorial boards of several scientific journals. He served as a Co-Chair of 9 International Conferences on Soft Computing, Artificial Intelligence and Computational Intelligence. He is an author and editor of 20 books and special volumes of journals. He was awarded by the State Research Fellowship of the Presidium of Russian Academy of Sciences for Distinguished Researchers, by the titles of Honorary Researcher of the Republic of Tatarstan, Russia, Honorary Professor of Budapest Tech (currently Obudu University), Hungary, and Member of the National System of Researchers of Mexico.
Jie Lu教授

澳大利亚悉尼科技大学工程和信息技术学院

特邀报告: Recommender Systems for Business Intelligence
Professor Jie Lu is the Associate Dean in Research in the Faculty of Engineering and Information Technology, and the Director of the Decision Systems and e-Service Intelligence Research Laboratory in the Centre for Quantum Computation & Intelligent Systems at the University of Technology Sydney (UTS). Her main research interests lie in the area of decision support systems, recommender systems, prediction and early warning systems, fuzzy transfer learning, and e-Service intelligence. She has published five research books and 400 papers in refereed journals and conference proceedings. She has won seven Australian Research Council (ARC) discovery grants, and 10 other research grants. She received the first UTS Research Excellent Medal for Teaching and Research Integration in 2010. She serves as Editor-In-Chief for Knowledge-Based Systems (Elsevier), Editor-In-Chief for International Journal on Computational Intelligence Systems (Atlantis), Associate Editor for IEEE Transaction on Fuzzy Systems, editor for book series on Intelligent Information Systems (World Scientific) and proceedings series on Computer Engineering and Information Science (World Scientific), and has delivered many keynote speeches at international conferences.
Frans Coenen教授

英国利物浦大学计算机科学系

特邀报告:The practical Application of Knowledge Discovery to Image Data: A Practitioners View in The Context of Image Analysis
Frans Coenen has been working in the field of data mining and Knowledge Discovery in Data (KDD) for the last fifteen years. He is particular interests are: Big Data; Social Network and Trend Mining; the mining of non-standard data sets such as Graph, Image and document collections; and the practical application of data mining in its many forms. He currently leads a small research group (11 PhDs and 3 RAs) working on many aspect of data mining and KDD. He has some 300 refereed publications on KDD and AI related research, and has been on the programme committees for many KDD events. He is pleased to have been the founder of the UK KDD symposia series, which is now in its ninth year. Frans Coenen is a member of the IFIP WG12.2 --- Machine Learning and Data Mining group, The British Computer Society (BCS) and the BCS' Specialist Group in AI (BCS-SGAI). He has been chair and deputy/technical programme chair for the BCS-SGAI AI series of conference for many years. Frans Coenen is currently professor within the Department of Computer Science at the University of Liverpool where he is the director of studies for the department's on-line MSc programmes, and Deputy Head of Department.
Yi Pan教授

乔治亚州立大学计算机科学系

特邀报告: Data Mining on Cloud Computing Platforms - Challenges and Solutions
Biography: Yi Pan is a Distinguished University Professor of the Department of Computer Science and an Interim Associate Dean at Georgia State University, USA. Dr. Pan received his B.Eng. and M.Eng. degrees in computer engineering from Tsinghua University, China, in 1982 and 1984, respectively, and his Ph.D. degree in computer science from the University of Pittsburgh, USA, in 1991. His profile has been featured as a distinguished alumnus in both Tsinghua Alumni Newsletter and University of Pittsburgh CS Alumni Newsletter. Dr. Pan's research interests include parallel and cloud computing, wireless networks, and bioinformatics. Dr. Pan has published more than 180 journal papers with over 50 papers published in various IEEE journals. In addition, he has published over 150 papers in refereed conferences. He has also co-authored/co-edited 40 books. His work has been cited more than 5000 times. Dr. Pan has served as an editor-in-chief or editorial board member for 15 journals including 7 IEEE Transactions. He is the recipient of many awards including IEEE Transactions Best Paper Award, IBM Faculty Award, JSPS Senior Invitation Fellowship, IEEE BIBE Outstanding Achievement Award, NSF Research Opportunity Award, and AFOSR Summer Faculty Research Fellowship. He has organized many international conferences and delivered over 40 keynote speeches at various international conferences around the world.
Contact Person: Senlin Yan
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