Peter Radchenko

Biography

Dr. PETER RADCHENKO is currently working as a Associate Professor in the Department of Department of Business, University of Sydney , Australia. His research interests includes Peter Radchenko’s research focusses on developing and analysing novel methodology for dealing with massive and complex modern data. Fields ranging from finance, marketing and economics to image analysis, signal processing, data compression and computational biology nowadays share the common feature of trying to extract information from vast noisy data sets. The age of Big Data has created an abundance of interesting problems, posing new challenges, not present in conventional data analysis. Such large scale problems fall under the general framework of High Dimensional Statistics and Statistical Machine Learning, which are the primary areas of Peter Radchenko’s research. His main focus has been on the problems in high-dimensional regression, convex clustering and functional data analysis.. He /she is serving as an editorial member and reviewer of several international reputed journals. Dr. PETER RADCHENKO is the member of many international affiliations. He/ She has successfully completed his Administrative responsibilities. He /she has authored of many research articles/books related to Peter Radchenko’s research focusses on developing and analysing novel methodology for dealing with massive and complex modern data. Fields ranging from finance, marketing and economics to image analysis, signal processing, data compression and computational biology nowadays share the common feature of trying to extract information from vast noisy data sets. The age of Big Data has created an abundance of interesting problems, posing new challenges, not present in conventional data analysis. Such large scale problems fall under the general framework of High Dimensional Statistics and Statistical Machine Learning, which are the primary areas of Peter Radchenko’s research. His main focus has been on the problems in high-dimensional regression, convex clustering and functional data analysis..

Research Interest

Peter Radchenko’s research focusses on developing and analysing novel methodology for dealing with massive and complex modern data. Fields ranging from finance, marketing and economics to image analysis, signal processing, data compression and computational biology nowadays share the common feature of trying to extract information from vast noisy data sets. The age of Big Data has created an abundance of interesting problems, posing new challenges, not present in conventional data analysis. Such large scale problems fall under the general framework of High Dimensional Statistics and Statistical Machine Learning, which are the primary areas of Peter Radchenko’s research. His main focus has been on the problems in high-dimensional regression, convex clustering and functional data analysis.