Shabnam Tafreshi

Assistant Research Scientist at University of Maryland, Applied Research Laboratory for Intelligence and Security
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Contact Information
us****@****om
(386) 825-5501
Location
Washington DC-Baltimore Area
Skills

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5.0

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John E. Ortega

Shabnam worked with me directly as a teaching assistant. She was always very insightful and has a deep background in natural language processing. Shabnam was not afraid to jump in and begin working with student content. She helped out with presentations and effortless contributed to the overall lectures in a genuine way. I highly recommend her.

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Credentials

  • Certified Running Coach
    Road Runners Club of America
    Mar, 2013
    - Nov, 2024

Experience

  • University of Maryland
    • United States
    • Higher Education
    • 700 & Above Employee
    • Assistant Research Scientist
      • May 2021 - Present

  • Georgetown University
    • United States
    • Higher Education
    • 700 & Above Employee
    • Adjunct Lecturer
      • Jan 2021 - Present

  • Columbia University
    • United States
    • Higher Education
    • 700 & Above Employee
    • Course Associate
      • Jun 2020 - Present

  • IBM
    • United States
    • IT Services and IT Consulting
    • 700 & Above Employee
    • Senior Data Scientist/NLP Researcher
      • Jun 2017 - May 2021

      Information retrieval - NLP and deep learning approach to economic and business events detection in news in multilingual platform. Query-based summarizer to retrieve a summery of business event. Information retrieval - NLP and deep learning approach to economic and business events detection in news in multilingual platform. Query-based summarizer to retrieve a summery of business event.

  • The George Washington University
    • United States
    • Higher Education
    • 700 & Above Employee
    • Graduate Research Assistant - GW NLP lab
      • Sep 2014 - Dec 2020

      Emotion and Emotion Intensity Detection for low-resources languages and across genres. Cross-lingual and cross-genre direct transfer of emotion and emotion intensity for low resource languages by analyzing social media data including tweets, blogs, and news. Advisor: Prof. Mona Diab Emotion and Emotion Intensity Detection for low-resources languages and across genres. Cross-lingual and cross-genre direct transfer of emotion and emotion intensity for low resource languages by analyzing social media data including tweets, blogs, and news. Advisor: Prof. Mona Diab

  • National Library of Medicine (NLM) @ NIH
    • Bethesda, MD
    • Summer Research Student
      • Jun 2016 - Aug 2016

  • American Councils for International Education
    • United States
    • Non-profit Organizations
    • 500 - 600 Employee
    • Senior Web Application Developer
      • Nov 2007 - Feb 2014

      Online Item Bank, Online Exam, Data analysis Online Item Bank, Online Exam, Data analysis

  • The George Washington University
    • United States
    • Higher Education
    • 700 & Above Employee
    • Graduate Research Assistant - Positronic Lab
      • Jan 2013 - Jul 2013

      Research area: robotics and optimization Research area: robotics and optimization

  • Global Land Cover Facilities
    • University of Maryland
    • Web Application Developer
      • Jul 2005 - Jul 2006

  • The George Washington University
    • United States
    • Higher Education
    • 700 & Above Employee
    • Technical Assistant
      • Jul 2005 - Jul 2006

  • Human Computer Interaction Lab, UMD
    • University of Maryland
    • Software Developer
      • Nov 2003 - Jul 2004

  • Digital Idea
    • Tehran, Iran
    • Software Developer, Web Programmer
      • Mar 1999 - Jul 2002

      Web Application Developer Web Application Developer

  • Rajaayi University
    • Tehran, Iran
    • Teaching Assistant
      • Jul 2000 - Aug 2000

      Teach MS Office Teach MS Office

  • ISIRAN
    • Tehran, Iran
    • Software Developer
      • Aug 1998 - Mar 1999

      Software Developer Software Developer

Education

  • The George Washington University
    PhD, Computer Science
    2011 - 2020
  • The George Washington University
    M.S, Computer Science
    2005 - 2007
  • Azad University (IAU)
    B.S, Computer Science
    1994 - 1998

Community

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