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.
Find my PGP public key here. a
Research Interests
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Privacy and Security in Software Engineering
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Privacy and Security for Internet of Things (IoT)
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Regulatory Compliance Software Engineering
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Usable Privacy
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Machine Learning and Deep Learning for Privacy Policy Analysis
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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]
Master's and Undergraduate Students
I am now accepting BSc. and MSc. 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
04/03/2019
Our research project "Privacy Consistency Framework for IoT Applications" has been selected as the awardee for UMaine Research - Faculty Travel Fund.
03/28/2019
Dr. Ghanavati gave a tech talk at Google Sunnyvale.
03/14/2019
Dr. Ghanavati received travel grant from NSF to attend CISE Career Workshop April 8 - 9.
03/08/2019
We received $5,000 in Google Cloud Platform credits for our research proposal.
02/28/2019
Our research project "Privacy Statements’ Recommender System (PSRS) based on Permission Methods of Android Applications" has been funded by Google Faculty Research Award.
01/30/2019
Our extended abstract and poster "Towards Integrating the FLG Framework with the NLP Combinatory Framework" by Amin Rabinia, Mauro Dragoni and Sepideh Ghanavati has been accepted at PAL: Privacy-Enhancing Artificial Intelligence and Language Technologies - AAAI Spring Symposium.
10/29/2018
Dr. Ghanavati has received a travel award from "Bangors Savings Bank/LuRosso".
