معرفی
Eric Weinberg serves as Assistant Professor of Computer Science at Viterbo University, holding a dual teaching role across both Computer Science and History departments. His unique academic profile bridges technical and humanities disciplines through innovative interdisciplinary research.
His educational background includes an MSDS from Texas Tech University, Ph.D. from University of Kentucky, M.A. from Kent State, and B.A. from University of Wisconsin La Crosse. This diverse foundation supports his research at the technology-history intersection.
Weinberg's research interests span multiple domains including computational algorithm development for academic scheduling, digital humanities applications of NLP to historical texts, geospatial crime analysis, and pandemic data modeling. His work demonstrates consistent methodological innovation across these fields.
Weinberg leads several significant research initiatives including development of a Reconstructive Multi-Objective Hybrid Mixed Integer Genetic Algorithm for university course timetabling, the Balefire.info Covid social data explorer platform, and 'Modeling Meaning in the Early Republic' applying transformer-based LLMs to Founding Era political discourse.
