School Computing and Information Science
University of Maine
Phone: +1 (207) 581-3218
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.
Find my PGP public key here. a
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
Privacy by Design and Privacy Requirements Analysis
(Goal-Oriented) Requirements Modeling and Requirements Engineering
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.
Our journal paper, RationalGRL: A Framework for Argumentation and Goal Modeling, has been accepted for publication in the Journal of Argument & Computation, 2020.
Our proposal, Advancing Legal-Technological Approaches for Protecting Privacy Rights and Civil Liberties in the Age of Big Data has been awarded as part of AI Initiative seed grant at UMaine.
Our paper, Towards Variability-Aware Legal-GRL Framework for Modeling Compliance Requirements has been accepted at the 7th International Workshop on Evolving Security & Privacy Requirements Engineering (ESPRE) at RE 2020.
Our journal paper, Populating Legal Ontologies using Semantic Role Labeling, has been published in the Springer Journal of Artificial Intelligence and Law, 2020.
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.