معرفی
Anita Wasilewska is an Associate Professor in the Department of Computer Science at SUNY Stony Brook University. Her research spans foundational areas in data mining, bioinformatics, automated theorem proving, and rough sets, with applications in knowledge discovery and computational logic.
- Education: Ph.D. in Mathematics (1975) and M.S. in Computer Science (1967), both from Warsaw University, Poland.
- Employment: 1989–present at Stony Brook, with adjunct roles at Dowling College (1998–2001) and sabbaticals including Fulbright Scholar (1993–1994).
Her research focuses on Data Mining (classification, clustering, association rules), Bioinformatics (protein structure prediction), and Automated Theorem Proving in non-classical logics. Her recent publications emphasize granular models, meta-classifiers, and hybrid systems for knowledge discovery.
She has collaborated extensively with institutions in Spain, France, and China, supervised multiple Ph.D. students, and served on program committees for conferences like ICMLA, NAFIPS, and RSCTC. Grants include NCIIA Sustainable Vision (2007–2009) and Fulbright support for research in Poland.
