Summary
Dr. Zari Farhadi is a dedicated lecturer and researcher with a Ph.D. in Data Science, specializing in machine learning, predictive modeling, and deep learning. She has developed innovative hybrid models such as ADeFS, RARTEN, ERDeR, and ECAPRAF, contributing to advanced data analysis. Her work includes impactful publications in esteemed journals and a commitment to interdisciplinary research.
Education
- Ph.D. in Data Science
- Academic focus on statistical learning and ensemble methods
Professional Experience
- Lecturer, University of Tabriz, Iran
Focused on teaching and research in data science and artificial intelligence
- Reviewer for leading journals: PLOS ONE, IEEE Access, Frontiers, and Ain Shams Engineering
Research Interests
- Machine Learning and Deep Learning
- Predictive Modeling and Ensemble Learning
- Development of hybrid models for advanced data analysis
- Statistical Learning and innovative applications in data science