The organizers of CAC 2016 are pleased to announce the confirmed plenary and keynote speakers:
Paul Eilers is emeritus professor in genetical statistics. Originally he was trained in electronics, but wandered into many other fields: environmental problems, medical statistics, social statistics, genomics and, of course, chemometrics. For him the common theme is the meaningful analysis of complex data; he loves statistical computation and the development of efficient and useful algorithms
Uncommon penalties for common problems
MM studied chemistry in Basel, Switzerland, where he completed his PhD on kinetics of coordination compounds. This research primed his interest in hard modelling, but Marcel has also been very active developing soft modelling methods, EFA being the most prominent. Some 30 years ago Marcel emigrated to Newcastle in Australia where he has been an active chemist without losing his interest in chemometrics.
Chemistry in Chemometrics – Chemometrics in Chemistry
Born in Rosario, Argentina, 07/28/1958. B.Sc. Argentinean Catholic University, 1982, Ph.D. National University of Rosario, 1986. Currently full professor in the Department of Analytical Chemistry and fellow of the National Research Council of Argentina (CONICET). Ca. 200 scientific papers, several books and book chapters, and nine supervised Ph.D. theses. John Simon Guggenheim Memorial Foundation fellow in 2001-2002.
Recent advances in the estimation of multivariate/multiway analytical figures of merit
From the early 90’s Prof. Beata Walczak has been involved in chemometrics and her main scientific interests are in all aspects of data exploration and modelling (dealing with missing and censored data, dealing with outliers, data representativity, enhancement of instrumental signals, signal warping, data compression, linear and non-linear projections, development of modeling approaches, feature selection techniques etc.). She authored and co-authored ca. 160 scientific papers and delivered many invited lectures at the numerous international chemistry meetings. She acted as an co-editor of four-volume Comprehensice Chemometrics, Elsevier, Amsterdam, 2009. Currently she acts as Editor of the journal Chemometrics and Intelligent Laboratory Systems and of ‘Data Handling in Chemistry and Technology’ (the Elsevier book series), and also as a member of the editorial boards of Talanta, Analytical Letters, J. Chemometrics, Acta Chromatographica and Advances in Analytical Chemistry.
Topological insight into chemical data: a gentle introduction
|Peter D. Wentzell
Peter Wentzell is Professor of Chemistry at Dalhousie University in Halifax, Nova Scotia, Canada. He obtained his BSc from Dalhousie University in 1982 and his PhD from Michigan State University in 1987. His research in chemometrics emphasizes the role of measurement errors and maximum likelihood methods in multivariate analysis. Recent recognitions include the 2013/14 Kowalski Prize from in the Journal of Chemometrics and the 2015 Award for Outstanding Achievements in Chemometrics from the Eastern Analytical Symposium.
Known Unknowns and Unknown Unknowns: Unravelling Multivariate Measurement Errors
|José M. Amigo
He obtained his PhD (Cum Laude) in Chemistry from the Autonomous University of Barcelona, Spain. Since 2007 he has been employed at the Department of Food Science, Spectroscopy and Chemometrics group of the University of Copenhagen, Denmark. Current research interests include hyperspectral and digital image analysis, and their implementation in Food and Forensic Sciences and Pharmaceutical production. He has authored more than 100 publications (75+ peer-reviewed papers, books, book chapters, proceedings, etc.) and given more than 40 conferences at international meetings. Jose has supervised or is currently supervising several Masters, Post Docs and PhD students. He is the editor in-chief of the chemistry section of "MethodsX" and he is editorial board member of "Chemometrics and Intelligent Laboratory Systems" and "Analytica Chimica Acta", among others. Moreover, he has received the "2014 Chemometrics and Intelligent Laboratory Systems Award".
Hyperspectral Image Analysis. Where are we and where should we go?
José is Associate professor in the Department of Signal Theory, Networking and Communications and researcher in the Information and Communication Technologies Research Centre, CITIC for its initials in Spanish, and in the Network Engineering & Security Group (NESG), both at the University of Granada, Spain. Additionally, José belongs to the Scientific Advisory Board of ReKom Biotech and is founding partner of SHYOS, Spin-off of the University of Granada.
Multivariate Big Data Analysis and its application to the Internet
Jeroen Jansen is Assistant Professor in the Chemometrics and Analytical Chemistry group at Radboud University Nijmegen in the Netherlands. His primary research interests are in omics data analysis, Process Analytical Technology and in bridging these concepts together and with other research disciplines.
Multicolour Flow Cytometry: omics on the single cell level, the next big challenge in chemometrics
|John H. Kalivas
Dr. John H. Kalivas completed his doctorate in chemistry with analytical chemistry and chemometric focuses at the University of Washington in 1982 under the direction of Professor Bruce R. Kowalski. He joined the Department of Chemistry at Idaho State University in 1985 as an Assistant Professor and was promoted to Professor in 1994. He is author or coauthor of over 100 professional publications including papers, book chapters, and books. He serves as an Editor for the Journal of Chemometrics and an Associate Editor for Applied Spectroscopy. He also serves on the Editorial Boards of Analytical Letters and Talanta.
Taking a big data approach to local spectral calibration
Paolo Oliveri (PhD in Sciences and Technologies of Chemistry and Materials, 2010) currently works as post-doctoral researcher at the Department of Pharmacy of the University of Genova. His research is mainly focused on spectroscopic analytical methods and chemometrics, with particular regard to signal processing and pattern recognition techniques. Awarded as "Best Young Researcher" by the Division of Analytical Chemistry of the Italian Society of Chemistry (2010).
Class-modelling in food analytical chemistry: why it should be our preferred choice and why it is not
Alexey L Pomerantsev is a Principal Researcher at The Russian Academy of Science. He is a founding member and chair of the Russian Chemometrics Society, being instrumental in organizing the annual Winter Symposium on Chemometrics. He is a peer reviewer and member of Editorial Board of the journal ‘Chemometrics and Intelligent Laboratory Systems.’ Dr. Pomerantsev has over 100 publications, many of them dealing with chemometric investigations
Spectroscopy undercover: investigation of hidden objects
|Sarah C. Rutan
Sarah C. Rutan is Professor of Chemistry at Virginia Commonwealth University, in Richmond, VA, where she has been on the faculty for 31years. She received her B.S. degree from Bates College in Lewiston, ME, and her M.S. and Ph.D. degrees from Washington State University in Pullman, WA. Her research spans a broad range of areas in analytical chemistry and chemometrics, and is currently focused on the development of chemometric methods for improving chromatographic analyses, especially comprehensive two-dimensional chromatography. She has over 100 publications and numerous presentations on these topics. She was the general chair of the Chemometrics in Analytical Chemistry Conference in Richmond, VA in June 2014.
Multivariate Curve Resolution-Alternating Least Squares Analysis of High Resolution Liquid Chromatography-Mass Spectrometry Data