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.
Dr. Ghanavati gave a tech talk at Google Sunnyvale.
Dr. Ghanavati received travel grant from NSF to attend CISE Career Workshop April 8 - 9.
We received $5,000 in Google Cloud Platform credits for our research proposal.
Our research project "Privacy Statements’ Recommender System (PSRS) based on Permission Methods of Android Applications" has been funded by Google Faculty Research Award.
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.
Dr. Ghanavati has received a travel award from "Bangors Savings Bank/LuRosso".
Started a position at UMaine.
Our paper, Privacy Consistency Analyzer for Android Applications, got accepted at ESPRE workshop.
Our paper, the FOL-based Legal-GRL (FLG) Framework: Towards an Automated Goal Modeling Approach for Regulations got accepted at MODRE workshop.
Dr. Ghanavati has received NSF Support Grant for Junior Researchers - CNS-1257011 - Schloss Dagstuhl for attending Dagstuhl Seminar 18171, "Normative Multi-Agent Systems", 2017.