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
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Mobile and Software Privacy and Security
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Privacy and Security for Internet of Things (IoT)
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Natural Language Processing - Neural Machine Translation
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Machine Learning and Deep Learning for Privacy in Mobile Applications
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Blockchain in Healthcare
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Regulatory Compliance Software Engineering
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Usable Privacy
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Privacy by Design and Privacy Requirements Analysis
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(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
06/09/2021
Dr. Ghanavati gave a talk at ACM-W Celebrating Technology Leaders: Women in Cybersecurity.
03/12/2021
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.
