Sina Bagheri Nezhad

About me

Hi! I'm currently a PhD student in Computer Science at Portland State University, working under the guidance of Prof. Ameeta Agrawal in the PortNLP Lab. My research dives into multilingual language models and making AI more fair and accessible across languages. Before starting my PhD, I earned my Master’s in Computer Engineering (Artificial Intelligence) at Iran University of Science and Technology, where I applied machine learning to predict outcomes for COVID-19 patients. Earlier, I completed a Master’s in Technology Management at the University of Tehran and a Bachelor's in Industrial Engineering. Beyond academia, I'm passionate about developing AI that respects cultural and linguistic diversity.

News

  • October 2024 - Received Honorable Mention for the paper "Evaluating Multilingual Long-Context Models for Retrieval and Reasoning" at the 4th Multilingual Representation Learning (MRL) Workshop at EMNLP 2024. Invited to present during the Best Paper Session.
  • October 2024 - Accepted to present the paper "Fair Summarization: Bridging Quality and Diversity in Extractive Summaries" at the Algorithmic Fairness through the Lens of Metrics and Evaluation Workshop at NeurIPS 2024, Vancouver, Canada.
  • October 2024 - Paper "Evaluating Multilingual Long-Context Models for Retrieval and Reasoning" accepted for presentation at the 4th Multilingual Representation Learning (MRL) Workshop at EMNLP 2024, Miami, Florida.
  • June 2024 - Presented the paper "What Drives Performance in Multilingual Language Models?" at the Eleventh Workshop on NLP for Similar Languages, Varieties, and Dialects (VarDial 2024) during NAACL 2024, Mexico City, Mexico.
  • September 2023 - Appointed Graduate Research Assistant at the PortNLP Lab at Portland State University, working on multilingual language models and fairness in NLP under Prof. Ameeta Agrawal.
  • August 2023 - Began collaborative research as a Graduate Research Assistant on fair clustering algorithms under Prof. Sayan Bandyapadhyay.
  • September 2022 - Initiated PhD studies in Computer Science at Portland State University with a research emphasis on Natural Language Processing, fairness, and multilingual modeling.
  • December 2021 - Successfully completed Master’s thesis at Iran University of Science and Technology, focusing on predicting COVID-19 patient outcomes through machine learning, under the mentorship of Prof. Nasser Mozayani.
  • February 2017 - Graduated with a Master’s in Technology Management from the University of Tehran, with a thesis exploring innovation risks in pharmaceutical R&D, supervised by Prof. Nima Garoosi Mokhtarzadeh.