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The following plenary speakers have been confirmed:
Stefan Nickel is a full professor at the Karlsruhe Institute of Technology - KIT (Germany) and one of the directors of the Institute of Operations Research.
He obtained his PhD in mathematics at the Technical University of Kaiserslautern (Germany) in 1995. From 1995 to 2003 he was assistant and associate professor in mathematics at the Technical University of Kaiserslautern. After a full professor position at the Saarland University (Chair of Operations Research and Logistics) from 2003 to 2009, he joined the Karlsruhe Institute of Technology as the Chair in Discrete Optimization and Logistics in April 2009. Since 2014 he is the dean of the Department of Economics and Management at KIT. Stefan Nickel was also member of the scientific advisory board as well as of the management board of the Fraunhofer Institute for Applied Mathematics (ITWM) in Kaiserslautern from 2004-2016. Since 2011 he additionally holds the positions of one of the directors of the Karlsruhe Service Research Institute (KSRI) and of the Research Center for Computer Science (FZI). From 2006-2015 he was editor-in-chief of Computers & Operations Research and is still consulting editor. Moreover, he is editor-in-chief of Operations Research for Health Care. He has coordinated the Health Care working group within the German OR society (GOR) and has been the president of GOR from 2013-2014.
Stefan Nickel has authored or co-authored 5 books as well as more than 100 scientific articles in his research areas Locational Analysis, Supply Chain Management, Health Care Logistics, and Online Optimization. He has been awarded the EURO prize for the best EJOR review paper (2012) and the Elsevier prize for the EJOR top cited article 2007-2011. In addition he conducted several industry projects with well-known companies such as BASF, Lufthansa, Miele, or SAP.
Ilze Ziedins works on modelling and analysis of stochastic networks, with applications to
health care, transportation, and communications networks. She was an undergraduate
at Waikato, then a PhD student and junior research fellow at Cambridge, and a lecturer at
Heriot-Watt University in Edinburgh, before joining the University of Auckland. Her recent work has
concentrated on models of networks with selfish routing, and modelling and optimization of
health care delivery.
Alan Welsh holds the E.J. Hannan Professorship in Statistics at the Australian national University. He has contributed to statistical methodology and theory, including robustness and model selection in linear models, robustness and bootstrapping in linear mixed models, semiparametric estimation, modelling zero-inflated data, modelling compositional data and the analysis of data from sample surveys. He has written a major monograph on Aspects of Statistical Inference (Welsh 1996) and jointly authored another on Maximum Likelihood Estimation for Sample Survey Data (Chambers et al 2012). He was the Editor-in-Chief of the Australian and New Zealand Journal of Statistics from 2012-2015. Alan was elected a Fellow of the Australian Academy of Science in 2007, Fellow of the Institute of Mathematical Statistics in 1990, and Fellow of the American Statistical Association in 2002. He was awarded the Moran Medal of the Academy of Science for outstanding research in statistics by a person under the age of 40 in 1990, the Pitman Medal of the Statistical Society of Australia in 2012 and the E.A. (Alf) Cornish Award of the Australasian Region of the International Biometric Society in 2017.
Professor Jean Yang is an applied statistician with expertise in statistical bioinformatics. She was awarded the 2015 Moran Medal in statistics from the Australian Academy of Science in recognition of her work on developing methods for molecular data arising in cutting edge biomedical research.Her research stands at the interface between medicine and methodology development and has centered on the development of methods and the application of statistics to problems in -omics and biomedical research. Shehas made contributions to the development of novel statistical methodologyand software for the design and analysis of high-throughput biotechnological data including that from microarrays, mass spectrometry and next generation sequencing.Recently, much of her focus is on integration of multiple biotechnologies with clinical data to answer a variety of scientific questions. This includes developiong various approches and methodolgies in statistical machine learning and network analysis. As a statistician who works in the bioinformatics area, she enjoys research in a collaborative environment, working closely with scientific investigators from diverse backgrounds.
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Last updated on Wednesday 11 July 2018