Toyotaro Suzumura  Toyotaro Suzumura photo       

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Lead, Scalable Graph Computing, Research Staff Member
Thomas J. Watson Research Center, Yorktown Heights, NY USA

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Professional Associations

Professional Associations:  ACM  |  ACM SIGHPC  |  IEEE   |  IPSJ

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More information:  DBLP  |  ScaleGraph

profile


Dr. Toyotaro Suzumura (Toyo) is currently a research staff member at IBM T.J. Watson Research Center, the headquarter of IBM Research and working on high performance graph analytics platform. He also served as a visiting full professor at Barcelona Supercomputing center in Spain as well as a visiting researcher at University of Tokyo in Japan. 

He holds his Ph.D. in Computer Science from Tokyo Institute of Technology. His Ph.D. thesis focused on Grid
computing and large-scale distributed computing systems. His current research topics include big data processing middlewares, large-scale graph analytics, supercomputing / high performance computing, and microscopic simulation platforms.

He joined IBM Research – Tokyo in 2004 as a research scientist and has also continued to serve professorship in academia since 2009. Since April 2009, he had served as a visiting associate professor at Tokyo Institute of Technology in Japan and led his own research laboratory named Suzumura laboratory. Since October 2013, he has moved to IBM Research – Ireland and its Smarter Tenology Cities Center to lead his traffic simulation project in Dublin, Ireland.  He also served as a visiting associate professor at University College Dublin as well as
an adjunct professor at Tokyo Institute of Technology in Japan.

He is now a co-principal investigator for two Japanese government projects funded by Japan Science Foundation that aim at building next-generation big data processing middlewares and libraries. One of his notable achievements are that he and his team won the first place at the world competition of “Big Data” processing on supercomputers called “Graph500” (http://www.graph500.org) in June 2014, June 2015, and November 2015 by proposing a novel and highly scalable graph search algorithm on massively parallel and distributed computers and successfully implementing it on the Japanese K
supercomputer. He has also led a project “ScaleGraph” (http://www.scalegraph.org) of developing an open source library for billion-scale graph analytics.

He has published more than 50 reviewed paper for top-quality international conferences and workshops, 42 domestic conferences, and 12 international patents, and also served invited speakers, workshop chairs and/or program committee members for top-tier conferences such as ACM/IEEE Supercomputing and ACM International World Wide Web Conference.