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Sepideh Ghanavati

Assistant Professor

School Computing and Information Science

University of Maine

Orono, ME

Phone: +1 (207) 581-3218

Email: sepideh[dot]ghanavati[at]maine.edu

About Me

I am an assistant professor in Computer Science at the School of Computing and Information Science (SCIS) at the University of Maine and the director of Privacy Engineering - Regulatory Compliance Lab (PERC_Lab). My research interests are in the areas of information privacy and security, software  and requirements engineering and the Internet of Things (IoT). The interdisciplinary nature of this research requires me to employ a variety of research methods, including requirements and software engineering, natural language processing, machine learning, deep learning and empirical human studies.

We are thankful to Google for funding our project at PERC_Lab by Google Faculty Research Award and Google’s Privacy-related Faculty Award.

Find my PGP public key here. a

Research Interests

  • Mobile and Software Privacy and Security

  • Privacy and Security for Internet of Things (IoT) 

  • Natural Language Processing - Neural Machine Translation

  • Machine Learning and Deep Learning for Privacy in Mobile Applications

  • Blockchain in Healthcare 

  • Regulatory Compliance Software Engineering

  • Usable Privacy

  • Privacy by Design and Privacy Requirements Analysis

  • (Goal-Oriented) Requirements Modeling and Requirements Engineering

Publication Index

[Google Scholar]     [DLBP]     [IEEE Xplore]

PhD, MSc. and Undergraduate Students

I am now accepting PhD, MSc. and BSc. students from UMaine interested in privacy and security research in my research group, Privacy Engineering - Regulatory Compliance Lab (PERC). Please check the Projects page for information on the available projects.

Recent News

      10/12/2021

Our grant proposal, Evaluating Developers' Privacy Comprehension During Mobile Applications Development Process, got funded by Google’s privacy-related faculty award program.

      09/16/2021

Our paper, A Two-Fold Study to Investigate Users' Perception of IoT Information Sensitivity Levels and Their Willingness to Share the Information, got accepted at EISA'21.

      08/11/2021

Our paper, Lattice-based Contextual Integrity Analysis of Social Network Privacy Policies, got accepted for presentation at the 3rd Annual Symposium on Applications of Contextual Integrity.

      07/03/2021

Our paper, Lattice-based Contextual Integrity Analysis of Social Network Privacy Policies, got accepted for publication at ESPRE'21.

      06/09/2021

Dr. Ghanavati gave a talk at ACM-W Celebrating Technology Leaders: Women in Cybersecurity.

      03/12/2021

Our paper, PriGen: Towards Automated Translation of Android Applications' Code to Privacy Captions, got accepted at RCIS'21.

      03/12/2021  

Our paper, PHIN: A Privacy Protected Heterogeneous IoT Network, got accepted at RCIS'21.

      10/22/2020  

Dr. Ghanavati gave a talk at the first virtual cybersecurity conference at the Center for Criminal Justice, Intelligence and Cybersecurity at SUNY Canton.        

More News.

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