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Congress:Member:Richard George
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Dr. Richard Peyton George
Profile page for New Energy Congress member Dr. Richard Peyton George
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Contents |
Overview
- Representation
- http://www.litesolar.com
- http://scitechminer.blogspot.com
- New Energy Congress
- Since May 27, 2007
- Committees
- Business Viability, Mechanical Engineering, Capital Sources Advisory
- Experience in the field of Alt Energy
- (brief synopsis)
- Education
- PhD, Capella University Ph.D. Dissertation Title: Scaling the Technology Opportunity Analysis Text Data Mining Methodology: Data Extraction, Cleaning, OLAP Analysis, and Reporting of Large Multi-Source Datasets; MBA, University of California, Berkeley BS, University of Virginia
- Greatest Strength
- Technical due diligence of alternative energy technologies
Technology Field Specialization
Specific technology specialties
Brief Bio
Dr. George is expert in the evaluation, competitive analysis, and due diligence review of emerging technologies and startup ventures. He developed text data mining technology to extract, clean, analyze, summarize, and report on science and technology research, patents, and funding transactions at the topic, country, organization, and researcher levels. Tech mining research topics include photovoltaics, energy storage, smart materials, nanotechnology, nanotubes, bioinformatics, gene expressions, data fusion, wind turbines, biogas, search engines, and quantum computing.
He spent the past three years doing technical due diligence and competitive intelligence on alternative energy technologies for a variety of clients including NASA, Lite Solar, and the Post Carbon Institute. His primary areas of research are photovoltaics, solar thermal (both hot water and steam), and ethanol. He recently helped Lite Solar evaluate potential photovoltaic and inverter vendors and negotiate supply contracts for their first 1 MW of installations.
- Ph.D. Dissertation Abstract
- Because the existing applications of Technology Opportunity Analysis (TOA) text data mining framework developed by Alan Porter et al used small datasets, previous research never pushed the limits of the methodology and failed to identify areas for future research associated with using larger datasets. This dissertation proposes data importing, data cleaning, OLAP visualization and analysis, and reporting extensions to the TOA framework to improve its performance and scalability when analyzing large datasets.
Other Profile Pages
Contact
Dr. Richard George
412 Huntfield CT NE
Leesburg, Virginia 20176 USA
phone: +1-703-880-5154 (EST)
email: george {at} scitechminer.com
