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Dr. Guy M. Lohman is Manager of Disruptive Information Management Architectures in the Advanced Information Management Department at IBM Research Division's Almaden Research Center in San Jose, California, where he has worked for 31 years. He currently manages the Blink research project, which most recently contributed BLU Acceleration to DB2 for Linux, UNIX, and Windows 10.5. From 2007 to 2010, Dr. Lohman’s team invented and developed the Query Engine of the IBM Smart Analytics Optimizer for DB2 for z/OS, V1.1 and the Informix Warehouse Accelerator. Dr. Lohman was the architect of the Query Optimizer of DB2 on the Linux, UNIX, and Windows platforms, and was responsible for its development from 1992 to 1997 (versions 2 – 5), as well as the invention and prototyping of Visual Explain and efficient sampling in DB2. During that period, Dr. Lohman also managed the overall effort to incorporate into that DB2 product the Starburst compiler technology that was prototyped at the Almaden Research Center. More recently, he was a co-inventor and designer of the DB2 Index Advisor (now part of the Design Advisor), and co-founder of the DB2 Autonomic Computing project, part of IBM's company-wide Autonomic Computing initiative. From 2004-2006, he was responsible for the design of the extensions to DB2 to optimize XQuery queries in DB2 9. Dr. Lohman was elected to the IBM Academy of Technology in 2002. He is currently the General Chair for ACM's Symposium on Cloud Computing (http://www.socc2013.org/), to be held 1-3 October 2013 at Santa Clara University, and the General Co-Chair of the 2015 IEEE International Conference on Data Engineering (ICDE) to be held 13-16 April 2015 in Seoul, Korea (http://www.icde2015.org). Previously, he was the Chair of the Workgroup on Self-Managing Database Systems (SMDB) of the IEEE Technical Committee on Database Engineering, and on the editorial boards of the “Very Large Data Bases Journal” and “Distributed and Parallel Databases”. His current research interests involve disruptive machine architectures for Business Intelligence, advanced data analytics, query optimization, self-managing database systems, information management appliances, database compression, and autonomic problem determination.
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Ronald Barber, Christian Garcia-Arellano,Ronen Grosman,Guy Lohman,C. Mohan,Rene Muller,Hamid Pirahesh,Vijayshankar Raman,Richard Sidle,Adam Storm,Yuanyuan Tian,Pinar Tozun,
2019 IEEE International Conference on Big Data (Big Data) (2019): 268-277
Ronald Barber, Christian Garcia-Arellano,Ronen Grosman,René Müller,Vijayshankar Raman,Richard Sidle, Matt Spilchen,Adam J. Storm,Yuanyuan Tian,Pinar Tözün,Daniel C. Zilio, Matt Huras,
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