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Drew Logsdon Phones & Addresses

  • Leander, TX
  • Round Rock, TX
  • 2519 Durlston Ct, Cedar Park, TX 78613
  • Austin, TX
  • College Station, TX
  • Edmond, OK
  • Midland, TX

Work

Company: Ibm Aug 2011 Position: Software engineer

Education

Degree: MS School / High School: Texas A&M University 2009 to 2011 Specialities: Computer Science

Interests

gesture recognition, human-computer inte...

Industries

Computer Software

Resumes

Resumes

Drew Logsdon Photo 1

Software Engineer At Ibm

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Position:
Software Engineer at IBM
Location:
Austin, Texas
Industry:
Computer Software
Work:
IBM since Aug 2011
Software Engineer

Texas A&M University Aug 2009 - Aug 2011
Research Assistant

Texas Instruments May 2008 - Aug 2008
Software Development Co-op
Education:
Texas A&M University 2009 - 2011
MS, Computer Science
Texas A&M University 2005 - 2009
BS, Computer Science, minor in Mathematics, supporting area in Art
Interests:
gesture recognition, human-computer interaction, software engineering, collaboration, learning

Publications

Us Patents

Processing A Query Via A Lambda Application

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US Patent:
20170039252, Feb 9, 2017
Filed:
Oct 24, 2016
Appl. No.:
15/333024
Inventors:
- ARMONK NY, US
DREW A. LOGSDON - AUSTIN TX, US
CHRISTOPHER J. MARCOCCI - AUSTIN TX, US
COREY A. STUBBS - AUSTIN TX, US
International Classification:
G06F 17/30
Abstract:
An approach is described of query processing via a lambda application including a batch processing layer and a speed processing layer. The approach may improve speed and efficiency with respect to computation of query results associated with the batch processing layer. A method pertaining to such approach may include receiving a query including an initial timeframe and computing partial query results within the initial timeframe. The partial query results within the initial timeframe may include a result for data associated with the speed processing layer and results for a first set of data segments associated with the batch processing layer. The method further may include combining the partial query results within the initial timeframe into a final query result. The method further may include computing partial query results outside of the initial timeframe including results for a second set of data segments associated with the batch processing layer.

Testing And Training A Question-Answering System

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US Patent:
20160314114, Oct 27, 2016
Filed:
Jul 5, 2016
Appl. No.:
15/201953
Inventors:
- Armonk NY, US
David C. Fallside - Nevada City CA, US
Drew A. Logsdon - Austin TX, US
Peter J. Parente - Durham NC, US
International Classification:
G06F 17/27
G06N 5/04
G06F 17/30
Abstract:
An approach is provided for an information handling system that includes a processor and a memory to improve the quality of question-answer sets used as inputs to a question-answering (QA) system. In the approach, a question-answer pair is analyzed using natural language processing (NLP) components. Some of the NLP components may be taken from the QA system whose input is being analyzed The question-answer pair includes a question and an answer to the question. Based on the analysis, one or more shortcomings of the question-answer pair are identified. The shortcomings relate to an ability of the target QA system to analyze the question. A human-readable feedback is provided to a user. The feedback recommends one or more possible actions to address the identified shortcomings.

Testing And Training A Question-Answering System

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US Patent:
20150161106, Jun 11, 2015
Filed:
Dec 9, 2013
Appl. No.:
14/100533
Inventors:
- Armonk NY, US
David C. Fallside - Nevada City CA, US
Drew A. Logsdon - Austin TX, US
Peter J. Parente - Durham NC, US
Assignee:
International Business Machines Corporation - Armonk NY
International Classification:
G06F 17/28
Abstract:
An approach is provided for an information handling system that includes a processor and a memory to improve the quality of question-answer sets used as inputs to a question-answering (QA) system. In the approach, a question-answer pair is analyzed using natural language processing (NLP) components. Some of the NLP components may be taken from the QA system whose input is being analyzed The question-answer pair includes a question and an answer to the question. Based on the analysis, one or more shortcomings of the question-answer pair are identified. The shortcomings relate to an ability of the target QA system to analyze the question. A human-readable feedback is provided to a user. The feedback recommends one or more possible actions to address the identified shortcomings.
Drew A Logsdon from Leander, TX, age ~36 Get Report