Damir Cavar: "Automated Content Detection: The Basics”

(2024 Datathon & Machine Learning Competition)

What computing techniques can be used to analyze online content with machine learning algorithms? How do you build these programs?

Sunday, October 20, 2024

Damir Cavar is an Associate Professor at Indiana University Bloomington (http://damir.cavar.me/). At IU, he is teaching and researching the domains of computational linguistics, natural language processing (NLP), and AI using classical and quantum computing. At Indiana University, he directs the NLP lab (https://nlp-lab.org/) and the Quantum NLP Study Group (https://nlp-lab.org/quantumnlp/). He is a core AI faculty member in the Luddy Artificial Intelligence Center, a voting faculty member in the Cognitive Science Program, an adjunct in the Department of Slavic and East European Languages and Cultures in the College of Arts and Sciences, and a faculty of the Data Science Program in the Luddy School of Informatics, Computing, and Engineering. He is also involved with the Russian and East European Institute in the Hamilton Lugar School of Global and International Studies. Dr. Cavar is engaged in collaborative research efforts on Quantum NLP and ML with the Center of Quantum Technologies and the Quantum Science and Engineering Center. His work focuses on NLP and AI as applied to financial, legal, medical, and cybersecurity applications, based on technologies like Large Language Models and Generative AI, Knowledge Graphs, and Ontologies. In the past, Dr. Cavar has worked in most areas of NLP at various institutions in Europe and the USA.