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International Business Machines Corporation (IBM), is an information technology (IT) company. s major operations include Global Technology Services segment (GTS), Global Business Services segment (GBS), Software segment, Systems and Technology segment, an
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Dr. Hendrik F. Hamann | Blue Tech Water Summit
Dr. Hendrik F. Hamann
Dr. Hendrik F. Hamann is currently a Research Manager in the Physical Sciences Department at the IBM T.J. Watson Research Center, Yorktown Heights, NY.
He received his PhD from the University of Goettingen in Germany.
In 1995 he joined JILA (Joint institute between the University of Colorado and NIST) as a Research Associate in Boulder, Colorado.
tenure at JILA he
developed novel near-field optical microscopes to study single molecules at high spatial resolution.
Since 2001 he is leading the Physical Analytics program in IBM Research, first as a Research Staff Member and currently as a esearch Manager.
Between 2005 and 2009 he
worked on energy and thermal management all the way from the device level to large scale computing systems.
current research interest includes sensor networks, sensor-based physical modeling, renewable energy, energy management and system physics.
has authored and co-authored more than 70 peer-reviewed scientific papers and holds over 55 patents and has over 25 pending patent applications.
Dr. Hamann is an IBM Master Inventor and has served on governmental committees such as the National Academy of Sciences and as an industrial advisor to Universities.
He is a member of the American Physical Society (APS), Optical Society of America (OSA), The Institute of Electrical and Electronics Engineers (IEEE) and the NY Academy of Sciences.
Agenda | Blue Tech Water Summit
Dr. Hendrik F. Hamann, Research Manager, Physical Science Depart., IBM
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**Dr. Hendrik F. Hamann, IBM T. J. Watson Research Center
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Dr. Hendrik F. Hamann, IBM T. J. Watson Research Center
Solar and wind forecasts produced by ...
Solar and wind forecasts produced by IBM's technology are as much as 30% more accurate than conventional forecasts, according to Hendrik Hamann, a research manager at IBM.
Such precision could make it possible to avoid generating hundreds of megawatts of excess power every year and reduce the need for new "peaker" plants to supply power in times of peak demand, potentially lowering carbon emissions and saving utilities and ratepayers millions of dollars.
An NREL study of the independent system operator for New England found that making solar forecasting 25% more accurate would offer potential cost savings of $46.5 million a year across the region
"What we are doing is combining multiple models together into one 'supermodel,'" says Hamann