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Kristina L Lerman

age ~58

from Los Angeles, CA

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Also known as:
  • Kristina L Ross
  • Kristina L Erman
  • Kristina Larman
  • Lerman Kristina
Phone and address:
2917 Oakhurst Ave, Los Angeles, CA 90034
310 559-8221
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Connected to:

Kristina Lerman Phones & Addresses

  • 2917 Oakhurst Ave, Los Angeles, CA 90034 • 310 559-8221
  • Goleta, CA
  • 2917 Oakhurst Ave, Los Angeles, CA 90034

Work

  • Company:
    Usc viterbi school of engineering
    2012
  • Position:
    Research associate professor

Education

  • Degree:
    Doctorates, Doctor of Philosophy
  • School / High School:
    Uc Santa Barbara
    1989 to 1995
  • Specialities:
    Physics

Skills

Data Mining • Data Analysis • Mathematical Modeling • Social Network Analysis • Machine Learning • Computer Science • Data Science • Statistics • Artificial Intelligence

Industries

Research

Resumes

Kristina Lerman Photo 1

Project Leader

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Location:
4676 Admiralty Way, Marina Del Rey, CA 90292
Industry:
Research
Work:
Usc Viterbi School of Engineering
Research Associate Professor
University of Southern California
Research Assistant Professor
Limbex/Quarterdeck Jan 1996 - Jun 1998
Software Analyst
Quarterdeck 1996 - 1998
Systems Programmer
Information Sciences Institute 1996 - 1998
Project Leader
Education:
Uc Santa Barbara 1989 - 1995
Doctorates, Doctor of Philosophy, Physics Princeton University 1985 - 1989
Bachelors, Bachelor of Arts, Physics Stuyvesant High School 1982 - 1985
Skills:
Data Mining
Data Analysis
Mathematical Modeling
Social Network Analysis
Machine Learning
Computer Science
Data Science
Statistics
Artificial Intelligence

Us Patents

  • Learning Data Prototypes For Information Extraction

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  • US Patent:
    6714941, Mar 30, 2004
  • Filed:
    Jul 19, 2000
  • Appl. No.:
    09/620062
  • Inventors:
    Kristina Lerman - Los Angeles CA
    Steven Minton - El Segundo CA
  • Assignee:
    University of Southern California - Los Angeles CA
  • International Classification:
    G06F 1730
  • US Classification:
    707103, 707100, 707102, 707104, 704254
  • Abstract:
    A method for determining statistically significant token sequences lends itself for use in the recognition of broken wrappers as well as the construction of new wrapper rules. When new wrapper rules are needed as the underlying wrapped data has changed, training examples are used to recognized data rule candidates that are culled with a bias for rule candidates that would be probably more successful. The resulting rule candidate set is clustered according to feature characteristics, then compared to the training examples. Those rule candidates most similar to the training examples are used to create new wrapper rules.

  • Systems And Methods For A Text Mining Approach For Predicting Exploitation Of Vulnerabilities

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  • US Patent:
    20220229912, Jul 21, 2022
  • Filed:
    Aug 22, 2019
  • Appl. No.:
    16/548329
  • Inventors:
    - Tempe AZ, US
    Palash Goyal - Los Angeles CA, US
    Kristina Lerman - Los Angeles CA, US
    Mohammed Almukaynizi - Chandler AZ, US
    Paulo Shakarian - Chandler AZ, US
  • Assignee:
    Arizona Board of Regents on Behalf of Arizona State University - Tempe AZ
    University of Southern California - Marina del Rey CA
  • International Classification:
    G06F 21/57
    H04L 51/216
    G06F 40/279
  • Abstract:
    Various embodiments of a computer-implemented framework for predicting exploitation of software vulnerabilities are disclosed.

  • Techniques To Evaluate And Enhance Cognitive Performance

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  • US Patent:
    20170042461, Feb 16, 2017
  • Filed:
    Jul 15, 2016
  • Appl. No.:
    15/212138
  • Inventors:
    - Richland WA, US
    Kristina Lerman - Los Angeles CA, US
    Lyndsey Franklin - West Richland WA, US
    Dustin Arendt - Richland WA, US
  • Assignee:
    BATTELLE MEMORIAL INSTITUTE - Richland WA
  • International Classification:
    A61B 5/16
    G09B 7/00
  • Abstract:
    In one embodiment of the present application, an operator provides entries into the computer workstation indicative of an evaluation. Assessment of the entries takes place relative to data representative of a corresponding multiple resource neuroenergetic model for the cognitively demanding activity. Generation of an operator instruction results from the assessment that is provided to the operator through the computer workstation. The operator instruction directs the operator to take a break from the cognitively demanding activity based on the assessment.

Youtube

Kristina Lerman

Kristina Lerman
  • Duration:
    1m 20s

Panel Q&A: Future Developments in Research, M...

Panel Q&A: Future Developments in Research, Modera...
  • Duration:
    11m 53s

AI SEMINAR RECAP | KRISTINA LERMAN

AI SEMINAR RECAP | KRISTINA LERMAN

Ethics in Artificial Intelligence: What is ethics? Watch the full vide...

  • Duration:
    5m 20s

IC2S2'20 Keynote talk by Kristina Lerman

IC2S2'20 Keynote talk by Kristina Lerman
  • Duration:
    29m 54s

Biased Data and Other Threats to Validity of ...

Biased Data and Other Threats to Validity of Model...

University of Exeter Computer Seminar Series - 12 Nov 2020. Title: Bia...

  • Duration:
    1h 2m 19s

MEDIATE @ ICWSM-21: 10. Kristina Lerman Geogr...

MEDIATE @ ICWSM-21: 10. Kristina Lerman Geography ...
  • Duration:
    20m 33s

Facebook

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Kristina Lerman

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Myspace

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Kristina Lerman

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Locality:
Scaggsville, MARYLAND
Gender:
Female
Birthday:
1949

Googleplus

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Kristina Lerman

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Kristina Lerman

Education:
York College of Pennsylvania

Classmates

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Kristina Lerman

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Schools:
Yeshiva of Brooklyn Brooklyn NY 1979-1980
Kristina Lerman Photo 8

Yeshiva of Brooklyn, Broo...

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Graduates:
Kristina Lerman (1979-1980),
Froddy Schenk (1988-1991),
Devorah Savitsky (1986-1995),
Martin Bienenfeld (1949-1956)

News

Betaworks to Pay $500000 for Fallen Social Media Star Digg

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  • "They were one of the first social media sites," says Kristina Lerman, an assistant research professor at the University of Southern California who has studied Digg and other social news sharing sites. "They introduced social components like having friends and followers."
  • Date: Jul 12, 2012
  • Category: Business
  • Source: Google
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