Mihaela Elena Breaban

Mihaela Elena Breaban serves as Professor and Director of the Doctoral School at the Faculty of Computer Science, Alexandru Ioan Cuza University of Iasi, Romania. Her academic leadership extends to coordinating doctoral studies while maintaining active research in computational intelligence and data analysis. She holds office C416 at General Berthelot 16, 700483 - Iasi, and maintains international research collaborations, notably as a member of the Data Science & Soft Computing Group at Goldsmiths, University of London.

Her research spans Evolutionary Computation (as part of ECODAM research group), Machine Learning and Big Data Analytics, Databases, and Constraint satisfaction. Breaban's work focuses on developing evolutionary algorithms for projection pursuit, clustering techniques, and optimization problems. Her methodological contributions include PSO-kMeans hybridization, nonlinear projection pursuit for outlier detection, and multi-objective evolutionary approaches for feature selection. These techniques have found applications in medical imaging, real estate dynamics modeling, and vehicle routing problems.

Analysis of her publication record reveals a consistent trajectory from foundational work in evolutionary algorithms and constraint satisfaction toward increasingly sophisticated applications in medical diagnostics and big data analytics. Her recent publications demonstrate a strong emphasis on deep learning approaches for brain tumor segmentation and lung disease detection from CT scans, representing a significant shift toward biomedical applications of computational intelligence techniques.

Scientific recognition includes:

• Winner of the ImageCLEFmed Tuberculosis competition

As Director of the Doctoral School, Professor Breaban oversees doctoral education across the Faculty of Computer Science. Her teaching portfolio spans undergraduate and graduate levels, including Probability and Statistics (Info 1), Databases (Info 2), Genetic Algorithms (Info 3), Nature-inspired Optimization Models (Master OC), Data Mining (Master OC), and Big Data Analytics (Master ISS, OC, SD). While specific grant information isn't detailed in available sources, her international collaborations and competition wins suggest successful research funding.

She actively participates in research communities through membership in the ECODAM research group at the Faculty of Computer Science, Iasi, and the Data Science & Soft Computing Group at Goldsmiths, University of London. These affiliations facilitate cross-institutional research on evolutionary computation and data science applications.