Siyuan Lu  Siyuan Lu photo         

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Manager and Principal Research Staff Member - Data Intensive Physical Analytics
Thomas J. Watson Research Center, Yorktown Heights, NY USA
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Professional Associations

Professional Associations:  American Geophysical Union  |  American Physical Society (APS)  |  Materials Research Society (MRS)

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Dr. Siyuan Lu is currently a Manager and Principal Research Staff Member at the IBM Thomas J. Watson Research Center, Yorktown Heights, NY.

Dr. Siyuan Lu obtained his PhD (Physics) in 2006 from the University of Southern California. Between 2007 and 2012, he was an Assistant Research Professor jointly appointed in the Department of Physics & Astronomy and the Department of Ophthalmology. At USC, he conducted highly multi-disciplinary research focused upon the synthesis and characterization of hybrid nanostructures as well as their applications for manipulating neuronal cell response. He first demonstrated the integration of and nonradiative resonant energy transfer between the two distinct classes (epitaxially grown and solution synthesized) of quantum nanostructures.

In 2012, He joined IBM T. J. Watson Research Center. His research interest at IBM includes architectures of big geospatial data platform and the union of physics and data-driven approaches for modeling complex systems. He technically led the DoE funded solar forecasting project in which he developed the machine-learning based situation-dependent model blending methodology for accurate solar power forecasting. Currently he leads the Data Intensive Physical Analytics research group. The work of the group spans big geospatial data services, renewable energy forecasting, climate forecasting, and remote-sensing based land surveying, agricultural and environmental monitoring.

Dr. Siyuan Lu has co-authored over 40 peer-reviewed articles and has served as journal reviewers and members on governmental committees. He is members of the American Physical Society, the Materials Research Society, and the American Geological Union.