Curriculum Vitae

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General Information

Full Name Sabyasachee Baruah
Date of Birth 13th January 1994
Place of Birth Guwahati, India
Languages English, Hindi, Assamese

Education

  • 2018-now

    Los Angeles, USA

    PhD
    University of Southern California
    Computer Science
    • Advisor - Dr. Shrikanth Narayanan
    • Signal Analysis & Interpretation Laboratory
    • Expected Graduation - Summer 2024
    • GPA - 3.95/4
  • 2012-2018

    Kharagpur, India

    Bachelors & Masters
    Indian Institute of Technology Kharagpur
    Computer Science & Engineering
    • Secured 10/10 GPA in second semester
    • CGPA - 9.38/10
  • 2000-2012

    Guwahati, India

    School
    Maharishi Vidya Mandir
    • Grade 1 to 12

Work Experience

  • May-Aug 2022

    Los Angeles, USA

    Student Researcher
    Google
    Perception Team
    • Worked on multimodal coreference in English news videos
    • Designed an annotation interface to label person names of face tracks
  • May-July 2016

    Los Angeles, USA

    Research Intern
    University of Southern California
    • Developed a regression model for continuous valence and arousal prediction in movie clips
    • Trained a model on discrete-emotion video clips and used it as the base model for gradient boosting
  • May-July 2015

    Bengaluru, India

    Research Intern
    Adobe Big Data Experience Lab
    • Quantified sufficiency, relevance, and coverage of time-series data
    • Designed a ranking and recommendation system of data tables for journalists

Projects

  • 2023
    Character Attribute Extraction
    • Explored different prompting methods on large language models to extract attribute frames of characters from movie screenplays
    • submitted to ICASSP 2024
  • 2022
    Multimodal Coreference Resolution
    • Developed an annotation interface to label face tracks with coreferring person names
    • Tested on English news videos of YouTube-8M
    • Work done as part of Student Research internship at Google
  • 2020-2023
    Character Coreference Resolution
    • Curated a coreference-annotated dataset of movie screenplays
    • Developed scalable inference approaches to adapt coreference resolution to long documents
    • Published work at ACL Findings (2020 & 2023)
  • 2022
    Media Representation of Professions
    • Developed a searchable taxonomy of professions for media content
    • Analyzed the frequency and sentiment trends of professions over 7 decades and 136K movies and TV-shows
    • Published work at PLOS ONE (2022) journal