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Sepideh Ghanavati

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Sepideh Ghanavati
OccupationProfessor

Sepideh Ghanavati is a computer scientist at the University of Maine, Orono. Her research focuses on software privacy, requirements engineering, and the application of natural language processing methods to the analysis of software systems.[1]

Research

Ghanavati's work centers on privacy behaviors in software, particularly in Android applications, and on the use of large language models and natural language processing techniques to identify, translate, and evaluate privacy-related requirements and developer concerns. According to Semantic Scholar, her publication record includes 74 papers with a combined total of 1,644 citations and an h-index of 18.[2]

She has received two grants from the National Science Foundation totaling $839,773. The first, a CAREER award titled "A Holistic Developer-Centered Approach to Enhance Privacy for Data-Driven Applications," was awarded on February 28, 2023, for $529,773 to the University of Maine.[3] The second, "Collaborative Research: SHF: Small: Enabling Dialogue Systems for Non-Functional Requirements," was awarded on June 16, 2025, for $310,000 to the University of Maine.[4]

Selected publications

  • "Automated Generation of Accurate Privacy Captions From Android Source Code Using Large Language Models" (2026), arXiv.org[5]
  • "Which Code Statements Implement Privacy Behaviors in Android Applications?" (2025), arXiv.org[6]
  • "Requirements Satisfiability with In-Context Learning" (2024), IEEE International Requirements Engineering Conference[7]
  • "Evaluating Privacy Perceptions, Experience, and Behavior of Software Development Teams" (2024), SOUPS @ USENIX Security Symposium[8]
  • "A Language Model of Java Methods with Train/Test Deduplication" (2023), ESEC/SIGSOFT FSE[9]
  • "Evaluating Privacy Questions from Stack Overflow: Can ChatGPT Compete?" (2023), IEEE International Requirements Engineering Conference Workshops[10]
  • "Towards Fine-Grained Localization of Privacy Behaviors" (2023), European Symposium on Security and Privacy[11]
  • "Understanding Developers Privacy Concerns Through Reddit Thread Analysis" (2023), REFSQ Workshops[12]
  • "PriGen: Towards Automated Translation of Android Applications' Code to Privacy Captions" (2023), Research Challenges in Information Science[13]
  • "Privacy-Preserving Natural Language Processing" (2023), Conference of the European Chapter of the Association for Computational Linguistics[14]
  1. ↑ Semantic Scholar author profile, Sepideh Ghanavati
  2. ↑ Semantic Scholar author profile, Sepideh Ghanavati
  3. ↑ National Science Foundation award records
  4. ↑ National Science Foundation award records
  5. ↑ Semantic Scholar author profile, Sepideh Ghanavati
  6. ↑ Semantic Scholar author profile, Sepideh Ghanavati
  7. ↑ Semantic Scholar author profile, Sepideh Ghanavati
  8. ↑ Semantic Scholar author profile, Sepideh Ghanavati
  9. ↑ Semantic Scholar author profile, Sepideh Ghanavati
  10. ↑ Semantic Scholar author profile, Sepideh Ghanavati
  11. ↑ Semantic Scholar author profile, Sepideh Ghanavati
  12. ↑ Semantic Scholar author profile, Sepideh Ghanavati
  13. ↑ Semantic Scholar author profile, Sepideh Ghanavati
  14. ↑ Semantic Scholar author profile, Sepideh Ghanavati
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