معرفی
Helga Naessens serves as Associate Professor in the Department of Information Technology within the Faculty of Engineering and Architecture at Ghent University. She is an active researcher affiliated with the Internet Technology and Data Science Lab, where she conducts work at the intersection of theoretical computer science and practical information systems.
Her research program spans two distinct but connected phases. Early in her career (1999-2002), she focused on foundational work in fuzzy logic, developing algorithms for T-transitive closures, rational similarity measures, and fuzzy preorder relations. This theoretical work established mathematical frameworks that later enabled her applied research. From 2008 onward, she shifted toward practical applications in academic information systems, investigating research paper similarity metrics, metadata utilization, and personalized recommendation systems for scholarly resources.
Analysis of her publication trajectory reveals a clear evolution from pure mathematics to applied computer science, with her recent work (2010-2013) demonstrating sophisticated integration of language models, semi-structured data, and content-based filtering techniques for academic search systems. Her research consistently bridges theoretical rigor with practical implementation challenges in scholarly communication.
Dr. Naessens has maintained significant collaborative relationships throughout her career, most notably with Hans De Meyer and Bernard De Baets (7 publications each), Chris Cornelis (6 publications), and Germán Hurtado Martín (6 publications). She successfully supervised Germán Hurtado Martín's 2013 PhD dissertation on intelligent information filtering methods.
Within the Internet Technology and Data Science Lab, she contributes to research initiatives focused on data-driven approaches to information management, with particular emphasis on improving how researchers discover and interact with academic literature through advanced computational techniques.
