Scholar
Michael Factor
Google Scholar ID: TWSJFCoAAAAJ
IBM Fellow -- Storage and Systems
Citations & Impact
Citations
1,220
H-index
16
i10-index
36
Publications
20
Co-authors
9
list available
Contact
No contact links provided.
Publications
Resume (English only)
Academic Achievements
- Published several papers such as 'Hybrid Cloud Connector: Offloading integration complexities' (SYSTOR 2024) and 'Length preserving compression - Marrying encryption with compression' (SYSTOR 2021). Has multiple patents, details not provided. Co-advised students at the Technion, Israel Institute of Technology, with Prof. Dan Tsafrir and Prof. Assaf Schuster, including Gala Yadgar and Konstantin Shagin.
Research Experience
- Since graduating, Dr. Factor has been working at IBM Research -- Haifa. He is currently the global lead for all work on Hybrid Data from IBM Research, responsible for defining future directions to ensure easy access to the right data, secure and governed use of data, and high-performance, secure, highly-functional, and cost-efficient data stores and processing engines. He also serves as a key point of contact for moving IBM Research innovations into the IBM public cloud, contributing to services like IBM Cloud Object Storage, IBM SQL Query Service, and various Spark-related services. Additionally, he collaborates closely with the IBM Public Cloud and IBM Data and AI teams on serverless computation, data lakes, and future enhancements to object storage.
Education
- B.Sc., Valedictorian (1984) in Computer Science from Union College, Schenectady, NY; M.Sc. (1988), M.Phil. (1989), and Ph.D. (1990) in Computer Science from Yale University.
Background
- IBM Fellow focusing on cloud data, storage, and systems. His research interests include hybrid cloud data, data security and governance, high-performance data stores, and processing engines.
Miscellany
- Former chair of the SYSTOR steering committee and program committee co-chair for both SYSTOR 2009 and MSST2010: Research Track. Served on numerous program committees.
