Phuong T. Nguyen

Registered user since Thu 13 Dec 2018

Name:Phuong T. Nguyen
Bio:

I obtained a Ph.D. in Computer Science from the University of Jena, Germany. Now I am a researcher at the University of L’Aquila, Italy. My research interests include Computer Networks, Semantic Web, Recommender Systems, and Machine Learning. Recently, I have been working to develop recommender systems in Software Engineering for mining open source code repositories.

Country:Italy
Affiliation:University of L’Aquila
Research interests:Computer Networks, Recommender Systems, Machine Learning

Contributions

WEARS 2021 Co-chair in Organizing committee within the WEARS 2021-track
EASE 2021 Author of A Multinomial Naive Bayesian (MNB) network to automatically recommend topics for GitHub repositories within the EASE 2020-track
Author of Adversarial Machine Learning: On the Resilience of Third-party Library Recommender Systems within the Vision and Emerging Results Track-track
MODELS 2021 Author of A GNN-based Recommender System to Assist the Specification of Metamodels and Models within the Technical Papers-track
ASE 2021 Author of Adversarial Attacks to API Recommender Systems: Time to Wake Up and Smell the Coffee? within the Research Papers-track
ESEC/FSE 2021 Session Chair of Analytics & Software Evolution—Libraries and APIs 2 (part of Research Papers)
Session Chair of Analytics & Software Evolution—Recommender Systems (part of Research Papers)
Session Chair of Analytics & Software Evolution—Mining Software Repositories (part of Research Papers)
Session Chair of SE & AI—Machine Learning for Software Engineering 2 (part of Research Papers)
Session Chair of SE & AI—Machine Learning for Software Engineering 1 (part of Research Papers)
Session Chair of SE & AI—Search Based Software Engineering (part of Research Papers)
MODELS 2020 Author of Using the Low-code Paradigm to Support the Development of Recommender Systems within the Posters-track
ICSE 2019 Author of FOCUS: A Recommender System for Mining API Function Calls and Usage Patterns within the Technical Track-track