Sepideh Ghanavati

Assistant Professor

School Computing and Information Science

University of Maine

Orono, ME

Phone: +1 (207) 581-3218

Email: sepideh[dot]ghanavati[at]

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

  • Mobile and Software Privacy and Security

  • Privacy and Security for Internet of Things (IoT) 

  • 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]

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


We received $5,000 in Google Cloud Platform credits for our research proposal.



Our paper, Populating Legal Ontologies using Semantic Role Labeling, has been accepted at the 12th Language Resources & Evaluation Conference, 2020.


Our paper, Towards a heterogeneous IoT privacy architecture has been accepted at the 35th Annual ACM Symposium on Applied Computing, 2020.



Our paper, A Methodology for Implementing the Formal Legal-GRL Framework: A Research Preview  has been accepted at Int. Working Conference on Requirements Engineering: Foundation for Software Quality, 2020.


Our Workshop on PrivateNLP held in Houston, TX collocated with WSDM20.


Our paper, Is It Possible to Preserve Privacy in the Age of AI? has been accepted at PrivateNLP Workshop.



Dr. Ghanavati gave a talk at IEEE COM/CS Chapter, at Husson University.


Our project, Privacy Consistency Framework for IoT Applications has been selected as the awardee for UMaine Research - Faculty Travel Fund.   

More News.

Copyright © Sepideh Ghanavati - 2020

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