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Wrong Hendrik Hamann?

Hendrik F. Hamann

Principal Research Staff Member, Senior Manager

IBM Corporation

HQ Phone:  (914) 499-1900

Direct Phone: (914) ***-****direct phone

Email: h***@***.com

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I agree to the Terms of Service and Privacy Policy. I understand that I will receive a subscription to ZoomInfo Community Edition at no charge in exchange for downloading and installing the ZoomInfo Contact Contributor utility which, among other features, involves sharing my business contacts as well as headers and signature blocks from emails that I receive.

IBM Corporation

1 New Orchard Rd

Armonk, New York,10504

United States

Company Description

IBM is a globally integrated technology and consulting company headquartered in Armonk, New York. With operations in more than 170 countries, IBM attracts and retains some of the world's most talented people to help solve problems and provide an edge for busin...more

Background Information

Employment History

Research Manager

Inhal/IBM


Manager, Manager

Thermal Physics , T.J. Watson Research Center for IBM


Research Associate

JILA


Research Assistant

University of Göttingen


Affiliations

New York Academy of Sciences

Board of Governors Member


Optical Society of America

Member


American Physical Society

Member


IEEE

Member


NY Academy of Sciences

Member


Institute of Electrical and Electronics Engineers Inc

Member


OSA

Member


APS

Member


National Academy of Sciences

Governmental Committees


National Science Foundation

Governmental Committees


Education

PhD

University of Goettingen


post doctorate

University of Colorado


Web References(50 Total References)


IBM Wants to Build Machine Learning 'Macroscopes' to Understand the World | Innointel

www.innointel.com [cached]

Hendrik Hamann, the group's research manager describes the work as an intersection between big data and physics - a field that he refers to as "physical analytics.
That's probably a more useful term than macroscopes, a metaphorical reference to something intended to measure very large things. It's the analytics capability, rather than the measurement aspect that is at the heart of the technology. "My team's expertise in physical models, machine-learning, sensors, data curation and big data technologies has been put to use in applications dealing with renewable energy, precision agriculture and energy management," writes Hamann.


IoT Day | 2016 Program Committee | Embedded Systems Week

esweek.org [cached]

Hendrik Hamann
Program Committee IBM Research


IBM Wants to Build Machine Learning 'Macroscopes' to Understand the World | TOP500 Supercomputer Sites

www.top500.org [cached]

Hendrik Hamann, the group's research manager describes the work as an intersection between big data and physics - a field that he refers to as "physical analytics.
That's probably a more useful term than macroscopes, a metaphorical reference to something intended to measure very large things. It's the analytics capability, rather than the measurement aspect that is at the heart of the technology. "My team's expertise in physical models, machine-learning, sensors, data curation and big data technologies has been put to use in applications dealing with renewable energy, precision agriculture and energy management," writes Hamann. Hamann says the biggest hurdle is curation. According to him data scientists can spend 80 to 90 percent of their time cleaning, indexing and formatting the data. He concludes: "At the heart of our vision and development of a platform for collecting, curating and searching global data by space and time, is a set of technologies that include new indexing schemes for data from the physical world, smart cognitive data curation, parallel processing, and both large scale and physics-inspired machine-learning."


Innovation in Industry Awards for Young Scientists | The New York Academy of Sciences

www.nyas.org [cached]

Dr. Hendrik F. Haman, IBM


Upcoming Webinars - IEEE Power Electronics Society

www.ieee-pels.org [cached]

Presenter: Dr. Hendrik F. Hamann, IBM T.J. Watson Research Center
While in the past most information on the internet was generated by humans or computers, with the emergence of the Internet of Things, vast amount of data is now being created by sensors from devices, machines etc, which are placed in the physical world. Here we present a series of example applications enabled by such sensor data and what we call "Physical Analytics", which provides underlying intelligence for smarter applications using a combination of physical and statistical models. The smarter solutions, which are being presented in this talk, range from active energy management and optimization, environmental sensing and controls, to renewable energy forecasting. All these different applications have been built using a single platform, which is comprised of a set of "configurable" technologies components including ultra-low power sensing and communication, big data management technologies, numerical modeling for physical systems, machine learning based physical model blending, and physical analytics based automation and control. Dr. Hendrik F. Hamann is a Distinguished Research Staff Member and 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 Göttingen. In 1995 he joined JILA (Joint institute between the University of Colorado and NIST) as a Research Associate in Boulder, Colorado. Since 2001 he is leading the Physical Analytics program in IBM Research. His current research interest includes the combination of physical model, machine-learning and big data technologies, internet of things, sensor networks, and sensor-based physical modeling with applications to renewable energy, precision agriculture etc. He has authored more than 90 peer-reviewed scientific papers and holds over 90 patents. Dr. Hamann is the winner of the 2016 AIP Prize for Industrial Applications of Physics, he is an IBM Master Inventor, a member of the IBM Academy of Technology and has served on governmental committees such as the National Academy of Sciences, the National Science Foundation 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.


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