Designed Experiments: Recent Advances in Methods and Applications
University of Technology Sydney, Australia
14 - 17 December 2015
Professor C. F. Jeff Wu is Coca Cola Chair in Engineering Statistics at the School of Industrial and Systems Engineering, Georgia Institute of Technology, USA. He was the first academic statistician elected to the National Academy of Engineering (2004) and is also a Member (Academician) of Academia Sinica (2000), and a Fellow of the American Society for Quality, the Institute of Mathematical Statistics, INFORMS, and the American Statistical Association. He received the COPSS (Committee of Presidents of Statistical Societies) Presidents’ Award in 1987, and gave the COPSS Fisher Lecture in 2011 and Deming Lecture in 2012, among numerous other awards and honours. Professor Wu has published more than 160 research articles and supervised 40 PhD students. He has published two books "Experiments: Planning, Analysis, and Parameter Design Optimization" (with Mike Hamada) and “A Modern Theory of Factorial Designs” (with Raul Mukerjee).
Professor R. A. Bailey is Professor of Mathematics and Statistics at the University of St Andrews, UK. After a doctorate in finite group theory at the University of Oxford, she worked at the Open University for a few years. She embraced statistics while working on restricted randomization and factorial designs as a post-doctoral research fellow at the University of Edinburgh. She spent ten years at Rothamsted Experimental Station designing and analysing agricultural experiments before returning to academia at the University of London. She moved to St Andrews in 2013. She has also held visiting positions and fellowships in France, Australia, New Zealand, the USA and Brazil.
Professor Ping Ma is a Professor of Statistics and directs a big data analytics lab at the University of Georgia, USA. He was Beckman Fellow at the Center for Advanced Study at the University of Illinois at Urbana-Champaign, Faculty Fellow at the US National Center for Supercomputing Applications, and a recipient of the US National Science Foundation CAREER Award. His paper won the best paper award of the Canadian Journal of Statistics. He serves on multiple editorial boards including the Journal of the American Statistical Association and Statistical Applications in Genetics and Molecular Biology.
Dr Kathy Ruggiero is a Senior Lecturer in the Department of Statistics at the University of Auckland, New Zealand. Her doctoral research resulted in the development of the construction methodology and theoretical properties of αn-designs, a family of resolvable incomplete block designs for factorial experiments. She has spent the last 12 years working at the interface of statistics and biology, beginning as a research scientist with the Bioinformatics for Agribusiness Stream of CSIRO’s Division of Mathematical and Information Sciences (Canberra, Australia), followed by a post-doctoral research fellowship with the Proteomics and Biomedicine Group in the School of Biological Sciences, University of Auckland, and now in her current position in which has extensive involvement in the design and analysis of experiments involving high-throughput technologies. Her current research focuses on the design of two-phase experiments, where the second phase experiment involves a high-throughput multiplexing technology and optimal block designs for experiments from which the measurements are counts.