Antonela

Antonela is a researcher at CONICET and an Adjunct Professor at Universidad Nacional del Centro de la Provincia de Buenos Aires (UNICEN), affiliated with the ISISTAN Research Institute in Tandil, Argentina. She holds a PhD in Computer Sciences and is actively engaged in research at the intersection of social computing, recommender systems, and software engineering.

Her research interests include:

• Social Computing and Machine Learning Applications
• Recommender Systems and Echo Chamber Mitigation
• Technical Debt and Architectural Smells in Software Systems
• Sensitivity Analysis for Software Quality Metrics
• Graph-based Text Representations (Graph-of-Words)

Her recent work shows a strong trend in applying computational methods to both social systems and software engineering challenges, with publications and tools focusing on empirical analysis, reproducibility, and practical tooling for developers. Notable projects include Sen4Smells for technical debt prioritization and graphoW for NLP applications.

Scientific contributions include:

• Paper on evolutionary analysis of technical debt (2019)
• RecSys 2021 paper on diversifying friend recommendations
• Development of open-source tools in Java, Python, and Kotlin

She has contributed to software engineering and AI research through GitHub-hosted projects and reproducible research kits. While no formal advising or grant information is available, her role as a researcher and educator suggests involvement in student mentorship and collaborative research. She is part of dynamic research teams at ISISTAN, focusing on intelligent systems and software quality.