Dr. Zahra AhmadiJunior Group Leader at PLRI
Areas of expertise
- Machine Learning
- Data Mining
- Data Streaming
- Pattern Recognition
- Data Analysis
Education
- Bachelor of Science (BSc), Computer Engineering – Software Engineering, Sharif University of Technology
- Master of Science (MSc), Computer Engineering – Artificial Intelligence, Sharif University of Technology
- Doctor of Philosophy – PhD, Computer Science, Johannes Gutenberg University Mainz
Recently, she presented the paper “Entity Matching Across Small Networks Using Node Attribute,” co-authored with Zahra Ahmadi, Hoang H. Nguyen, Sergio Burdisso, Srikanth Madikeri, and Petr, at the 13th Conference on Prestigious Applications of Intelligent Systems (PAIS-2024). This conference was held alongside ECAI, providing a platform to discuss innovative applications of intelligent systems.
She is interested in machine learning and data mining methods, with a particular focus on spatio-temporal data analysis, stream and time series analysis, multi-label classification, semi-supervised learning, deep neural networks, and privacy-preserving data mining. To explore the updated list of her publications, you can visit her profiles on Google Scholar and DBLP.
She also had the opportunity to attend Yann LeCun’s talk at the University of Geneva on general intelligence and JEPA. As an advocate and user of large language models (LLMs), she strongly aligned with his view that, while LLMs are highly powerful, they should not dominate machine learning research. They are not a one-size-fits-all solution, and broader exploration is essential for advancing the field.