Ron Bekkerman

Ex-LinkedIn, PhD in Computer Science (Machine Learning) with extensive experience in commercial software engineering. Consultant in Big Data and intelligent Web applications. Well connected both within the industrial and academic Data Mining communities. Starting from October 2013, I teach Data Science and Big Data at the University of Haifa, Faculty of Management (Business School). Career highlights so far: • Corresponding editor of a book on large-scale machine learning (published by the Cambridge University Press in January 2012). • Built a data standardization system that is making big $$ for LinkedIn. • Performed data analyses that are affecting LinkedIn’s product and marketing strategy. • Mentored interns and junior researchers. • Published over 20 papers - most in top-tier venues such as PLOS ONE, JMLR, KDD, WWW, ICML, ECML, SIGIR, CVPR, IJCAI, CIKM, and EMNLP. • My papers were cited over 2000 times in scientific literature. • Served on the organizing committees of KDD-2018, KDD-2016, KDD-2015, KDD-2013, and KDD-2012 (the ACM Conference on Knowledge Discovery and Data Mining). • Served on senior program committees of WSDM-2017, SDM-2017, and WSDM-2016. • Served on program committees of KDD-2018, DSAA-2017, KDD-2016, IJCAI-2016, KDD-2015, WSDM-2015, ICML-2014, SIGIR-2014, WSDM-2014, SIGIR-2013, ICML-2013, WSDM-2013, ICML-2012, SIGIR-2012, AAAI-2011, ACL-2011, KDD-2010, ICML-2010, KDD-2009, ECML-2009, SIGIR-2008, ECML-2008, ICML-2007 and other conferences. Reviewed hundreds of data mining and machine learning papers. Have a strong sense of high-quality data mining technology. Specialties: Statistical machine learning, social network analysis, text mining, Web mining, information extraction, natural language processing, business intelligence, product strategy.