Vlado Keselj
Vlado Keselj
Professor of Computer Science; Director, Master of Digital Innovation (MDI) Program
Faculty of Computer Science, Dalhousie University
About
Dr. Keselj’s general areas of research interest include understanding, exploring, improving, and applying methods for text processing for natural languages and other human-friendly format; and mathematical metods for machine learning and AI in general. A particular target areas of applications have been financial prediction within FinTech, and digital innovation, particularly instances of text-based rapid prototyping tools.
One line of research has been in the authorship attribution area and in a wider area of related stylometric analyses based on character n-gram analysis, and in particular on a simple and effective method known as the CNG method (Common N-gram Analysis), invented by Dr. Keselj and published with the colleagues in 2003.