Salman Farsi

Salman Farsi

Software Engineer @ Samsung Research | Lecturer @ Premier University, CTG | Passionate to Problem Solving | Natural Language Processing Enthusiast

Research Interest

My broad research interests are in Natural Language Processing and Explainable AI. Some of the areas I wish to work are,

  • Information Extraction, Multilingual and low‐resource NLP, Social Computing [fake, hate, abusive, stance related content classification]
  • Multimodal NLP [utilizing linguistic, acoustic, and visual features to build intelligent systems]
  • Explainable AI
  • Application of Computer Vision in Goescience & Medical Science

Publications

Works in Progress

BanglaMM-FNX: A Multimodal Framework for Bengali Fake News Classification

Ongoing

Journals

  1. EAI
    EcomFraudEX: An Explainable Machine Learning Framework for Victim-Centric and Dual-Sided Fraud Incident Classification in E-Commerce
    Salman Farsi, & Mahfuzulhoq Chowdhury
    EAI Endorsed Transaction on Scalable Information System, vol. 12, Jan. 2025
    Indexed By: Scopus, Web of Science, etc. IF: 1.98, Quartile: Q2
    [Schimago Journal Rank] | [Paper]

Conferences

  1. IEEE-COMP-SIF 2025
    Endeavour: A Migrant Worker Assistance Mobile Application with Recruit Agency Search, Emigration, Overseas Employment Help Features
    Mahfuzulhoq Chowdhury, & Salman Farsi
    2025 International Conference on Computing for Sustainability and Intelligent Future (COMP-SIF)
    [Conference Link] | [Paper]
  2. IEEE-ICACCTech 2024
    E-Vigilant: An e-commerce assistant smartphone application with customer and seller fraud detection, seller identity check, legal help, e-shopping features
    Salman Farsi, & Mahfuzulhoq Chowdhury
    In Proceedings of the 2024 Second International Conference on Advanced Computing & Communication Technologies (ICACCTech)
    [Conference Link] | [Paper]

Workshops

  1. EACL-2024
    Hate and Offensive Language Detection in Telugu Code-Mixed Text Using Sentence Similarity BERT
    Salman Farsi, Asrarul Hoque Eusha, & Mohammed Moshiul Hoque
    In Proceedings of the Fourth Workshop on Speech, Vision, and Language Technologies for Dravidian Languages (DravidianLangTech-2024)
    [Conference Link] | [Paper] | [Code]
  2. EACL-2024
    Fake News Detection in Malayalam Language Leveraging Fine-Tuned MuRIL BERT
    Salman Farsi, Asrarul Hoque Eusha, Ariful Islam, Hasan Mesbaul Ali Taher, & Mohammed Moshiul Hoque
    In Proceedings of the Fourth Workshop on Speech, Vision, and Language Technologies for Dravidian Languages (DravidianLangTech-2024)
    [Conference Link] | [Paper] | [Code]

    🥇 Top model in fake news detection challenge

  3. EACL-2024
    A Comprehensive Evaluation and Superior Performance of Transformer-Based Models in Hate Speech Event Detection and Stance Classification for Climate Activism
    Salman Farsi, Asrarul Hoque Eusha, & Mohammed Shamsul Arefin
    In Proceedings of the 7th Workshop on Challenges and Applications of Automated Extraction of Socio-political Events from Text (CASE-2024)
    [Conference Link] | [Paper] | [Code]

    🥇 Top model in hate speech event detection challenge

  4. EACL-2024
    Sentiment Analysis using Transformer-Based Models in Code-Mixed and Transliterated Tamil and Tulu
    Asrarul Hoque Eusha, Salman Farsi, Ariful Islam, & Mohammed Moshiul Hoque
    In Proceedings of the Fourth Workshop on Speech, Vision, and Language Technologies for Dravidian Languages (DravidianLangTech-2024)
    [Conference Link] | [Paper] | [Code]

    🥇 Top model in sentiment analysis challenge