Farjana Sultana Samia

Iowa State University · Ames, Iowa, USA

Farjana Sultana Samia

Ph.D. Student in Computer Science

  • Graduate Research Assistant, Department of Computer Science, Iowa State University
  • Graduate Teaching Assistant, Department of Computer Science, Iowa State University
  • Former Software Engineer (Natural Language Processing), Technometrics Limited
Research Interests
  • NLP
  • LLM
  • Entity Linking
  • Information Extraction
  • Knowledge Graphs
  • Data Science

Professional Service


  • Session Chair — Efficient Methods for NLP
    Oct 2026

    EMNLP 2026 · Conference on Empirical Methods in Natural Language Processing (virtual session)

    • Chaired a virtual session of nine research presentations on making NLP models more efficient, covering speculative decoding, compute allocation, quantization and memory-efficient training.
    • Introduced the speakers and moderated the question-and-answer discussion after each talk.
    LinkedIn post about serving as Session Chair for the Efficient Methods for NLP session at EMNLP 2026
    LinkedIn post about the session. Click to view full size.

Leadership & Outreach


  • Campus Ambassador
    Aug 2018 – Dec 2018

    Microsoft · Young Bangla

    • Represented Microsoft’s youth outreach programme on campus, promoting its platforms and programmes to students. Certificate of Recognition.
    • Promoted and shared Young Bangla’s youth development initiatives across the university community, under its “Connecting the Dots” programme.
  • Volunteer
    Dec 2017 – Dec 2018

    Women Techmakers

    • Supported community activities aimed at strengthening women’s participation and technical skills in computing.

Competitions & Presentations


  • NSU Inter Girls Programming Contest
    2018

    North South University

    • Participated in the inter-university programming contest. Certificate.
  • Anti Smartphone Addiction Application — poster presentation
    2020

    CSE Fest 2020, Manarat International University

    • Designed a concept application that tracks screen time and per-app usage to help users recognise and manage phone addiction.
    • Proposed features covered usage tracking and scheduling, overuse notifications and break reminders, progress sharing and community support.
    • Motivated by a survey run through Google Forms, in which most respondents reported anxiety without their phone and agreed that smartphone addiction is a real problem.
    Anti Phone Addiction application poster, CSE Fest 2020
    Poster presented at CSE Fest 2020. Click to view full size.