معرفی
Emilia Mendes is a Full Professor in the Department of Electrical and Computer Engineering at Aarhus University. Her research focuses on Empirical Software Engineering, particularly human-centric approaches, evidence-based decision-making, and the application of machine learning and statistical techniques in software development.
- Current research themes: Human-Centric Software Engineering, Evidence-Based Research, Statistical/Machine-Learning Techniques, and Value-Based Software Engineering.
- Developed tools for team climate forecasting, capability measurement, and value-based decision-making.
Research Trends: Her work bridges software engineering with psychology (personality traits, team dynamics), machine learning (effort estimation, dementia prognosis), and value-based frameworks for decision-making. She emphasizes industrial applications, including agile methodologies, cross-company predictions, and Bayesian network modeling.
Scientific Impact & Awards:
- 10,018 citations, h-index 58.
- Ranked #32 in Empirical Software Engineering Scholars (Google Scholar).
- Ranked #20 in Top Computer Science Scientists in Sweden (2023).
- Top 2% scientist in the world (2019, 2020, 2022; only female in Sweden for SE in 2022.
- Nine best paper awards at international conferences.
- Editorial board member: Information and Software Technology, ACM Computing Surveys, former roles at IEEE Transactions on Software Engineering and others.
Grants & Leadership: Awarded €11.921.603 in research grants. Held leadership roles as General Chair (EASE 2017), PC Co-Chair (EASE 2012, ESEM 2012), and active participant in 200+ academic events.
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