Alianna J Maren from Algonquin, IL, age 70

Resumes

Alianna Maren

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Work:

Elgin Community College

Aug 2014 to 2000
Adjunct Faculty Author's Sabbatical

Jan 2014 to 2000 Author's Sabbatical

Jan 2014 to 2000
Principal Mourning Dove Press

Jul 2010 to 2000
Principal Unveiling

Jul 2011 to Dec 2013
Independent marketing Author's Sabbatical

Jan 2010 to Jul 2011 Dept. of Applied IT
Fairfax, VA
Aug 2009 to Dec 2010
Adjunct Faculty, George Mason University Dept. of IT
Arlington, VA
May 2009 to Dec 2009
Adjunct Faculty, Marymount University Themasis Associates

Apr 2008 to Jul 2008 Viziant
McLean, VA
Dec 2001 to Jun 2008
Chief Scientist and Initiating Co-Founder Viziant

Dec 2001 to 2006 Viziant

Feb 2004 to Feb 2004
Hamilton on two projects, scientific consultant Georgetown University

Aug 2002 to May 2003
Adjunct Associate Professor WR Systems, Ltd
Fairfax, VA
Apr 2001 to Nov 2001
Senior Proposal Specialist EagleForce Technology
New York, NY
Apr 2000 to Mar 2001
Principal XonTech, Inc
Huntsville, AL
Jul 1999 to Mar 2000
Technology Manager Accurate Automation Corporation
Chattanooga, TN
1993 to 1999
Senior Scientist Accurate Automation Corporation

1994 to 1994
Business Development / Client Interface Radford University
Radford, VA
1992 to 1993
Visiting Associate Professor, Computer Science Department of Computer Science, University

1987 to 1992
Visiting Associate Professor Independent Research Laboratory

1986 to 1986
Scientist, PRL Honeywell Systems and Research Center
Minneapolis, MN
1984 to 1985
Research Scientist Argonne National Laboratory

1983 to 1984
Faculty Research Participant Univ. of Wisconsin
River Falls, WI
1979 to 1984
Instructor / Visiting Ass't Professor

Education:

Arizona State University
1983
Ph.D. in Physical Chemistry University of North Dakota
1976
B.S. in Mathematics

Us Patents

Knowledge Discovery Method With Utility Functions And Feedback Loops
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US Patent:

7333997, Feb 19, 2008
Filed:

Aug 12, 2003
Appl. No.:

10/604705
Inventors:

Alianna J. Maren - Woodbridge VA, US
Stanley V. Campbell - Fairfaxd VA, US
Assignee:

Viziant Corporation - McLean VA
International Classification:

G06F 17/30
US Classification:

707101, 707 6, 706 45
Abstract:

A knowledge discovery apparatus and method that extracts both specifically desired as well as pertinent and relevant information to query from a corpus of multiple elements that can be structured, unstructured, and/or semi-structured, along with imagery, video, speech, and other forms of data representation, to generate a set of outputs with a confidence metric-applied to the match of the output against the query. The invented apparatus includes a multi-level architecture, along with one or more feedback loop(s) from any Level N to any lower Level so that a user can control the output of this knowledge discovery method via providing inputs to the utility function.

System And Method For Predictive Analysis And Predictive Analysis Markup Language
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US Patent:

7389282, Jun 17, 2008
Filed:

Nov 2, 2005
Appl. No.:

11/264748
Inventors:

Alianna J. Maren - McLean VA, US
Assignee:

Viziant Corporation - McLean VA
International Classification:

G06N 5/00
US Classification:

706 52, 706 45, 703 2
Abstract:

A predictive architecture system and method that supports predicting likely future evolutions by aggregating and analyzing large amounts of data. The invented system includes a multi-level architecture, along with one or more feedback functions that drive search and discovery for information in support of a “hypothesis” or discovery of significant information in advance of clear hypothesis formation and passing on higher-level predictive support or lack of support for existing and/or new hypotheses.

System And Method For Evidence Accumulation And Hypothesis Generation
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US Patent:

7421419, Sep 2, 2008
Filed:

Apr 12, 2006
Appl. No.:

11/279465
Inventors:

Alianna J. Maren - McLean VA, US
Assignee:

Viziant Corporation - McLean VA
International Classification:

G06F 9/44
G06N 7/02
G06N 7/06
US Classification:

706 52
Abstract:

A methodology, a system, and an apparatus is defined for performing evidence-based decision-making about matching a given entity against one or more of a set of known or reference entities. A satisfactory decision is achieved as a function of both potentiality and plausibility, where plausibility refers to the full set of values garnered by the evidence accumulation process in the process of generating belief/disbelief/uncertainty/conflict masses. Potentiality is a mechanism to set the various match threshold values, where the thresholds define acceptable confidence levels for decision-making. Evidence is computed on the basis of partial matching of feature vector elements, where separate and distinct feature vectors are associated with both the given entity and each of the reference entities. Following evidence-combination methods, evidence is accrued for both the positive and negative decisions regarding a potential match.

Knowledge Discovery System
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US Patent:

20050278362, Dec 15, 2005
Filed:

Feb 17, 2005
Appl. No.:

11/059643
Inventors:

Alianna Maren - McLean VA, US
Stanley Campbell - Fairfax Station VA, US
Dennis Perry - Annandale VA, US
Bao Nguyen - Vienna VA, US
International Classification:

G06F007/00
US Classification:

707100000
Abstract:

A knowledge discovery apparatus and method that extracts both specifically desired as well as pertinent and relevant information to query from a corpus of multiple elements that can be structured, unstructured, and/or semi-structured, along with imagery, video, speech, and other forms of data representation, to generate a set of outputs with a confidence metric applied to the match of the output against the query. The invented apparatus includes a multi-level architecture, along with one or more feedback loop(s) from any level n to any lower level n−1 so that a user can control the output of this knowledge discovery method via providing inputs to the utility function.

System For Hypothesis Generation
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US Patent:

20070156720, Jul 5, 2007
Filed:

Aug 31, 2006
Appl. No.:

11/513358
Inventors:

Alianna Maren - McLean VA, US
International Classification:

G06F 7/00
US Classification:

707100000
Abstract:

A system for performing hypothesis generation is provided. An extraction processor extracts an entity from a data set. An association processor associates the extracted entity with a set of reference entities to obtain a potential association wherein the potential association between the extracted entity and the set of reference entities is described using a vector-based belief-value-set. A threshold processor determines whether a set of belief values of the vector-based belief-value-set exceed a predetermined threshold. If the belief values exceed a predetermined threshold the threshold processor adopts the association.

Sensor Fusion Apparatus And Method
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US Patent:

58506250, Dec 15, 1998
Filed:

Mar 13, 1997
Appl. No.:

8/819980
Inventors:

Alianna J. Maren - Hixson TN
Richard M. Akita - Carlsbad CA
Bradley D. Colbert - Oakton VA
David J. Donovan - Hixson TN
Charles W. Glover - Knoxville TN
Karl Mathia - Chattanooga TN
Robert M. Pap - Chattanooga TN
Kevin L. Priddy - Signal Mountain TN
Timothy W. Robinson - Chattanooga TN
Richard E. Saeks - Chattanooga TN
Assignee:

Accurate Automation Corporation - Chattanooga TN
International Classification:

H04N 5272
US Classification:

702 93
Abstract:

The invented apparatus fuses two or more sensor signals to generate a fused signal with an improved confidence of target existence and position. The invented apparatus includes gain, control and fusion units, and can also include an integration unit. The integration unit receives signals generated by two or more sensors, and generates integrated signals based on the sensor signals. The integration unit performs temporal and weighted spatial integration of the sensor signals, to generate respective sets of integrated signals supplied to the gain control and fusion units. The gain control unit uses a preprogrammed function to map the integrated signals to an output signal that is scaled to generate a gain signal supplied to the fusion unit. The fusion unit uses a preprogrammed function to map its received integrated signals and the gain signal, to a fused signal that is the output of the invented apparatus. The weighted spatial integration increases the fused signal's sensitivity to near detections and suppresses response to detections relatively distant in space and time, from a detection of interest.