Profile: Kalev H. Leetaru
Kalev H. Leetaru
University of Illinois2001 S. First Street, Suite 207
Champaign, IL 61820
leetaru@illinois.edu
Short Biographical Sketch
Kalev H. Leetaru is Assistant Director for Text and Digital Media Analytics at the Institute for Computing in the Humanities, Arts, and Social Science at the University of Illinois and Center Affiliate of the National Center for Supercomputing Applications. His award-winning work centers on the application of high performance computing to grand challenge problems using global information. He holds three US patents and more than 50 University Invention Disclosures and has been an invited speaker, panelist, and discussant at venues including the Library of Congress, Harvard, Columbia, Stanford, and UC Berkeley, while his work has been profiled in venues as diverse as Nature, the New York Times, BBC, Discovery Channel, The Atlantic, Fortune Magazine, Columbia Journalism Review, MSNBC, Que Leer, La Stampa, US News & World Report, Politico, Huffington Post, Library Quarterly, AAPG Explorer, and the American Council on Education's The Presidency, along with media outlets in more than 100 countries.Research
Kalev's research focuses on a wide range of topics including international media flows, open source intelligence and the understanding and interaction of world events with the media, how news captures the world around us. Kalev's research area is highly interdisciplinary, combining a wide range of technologies, approaches, and disciplines. Through the synthesis of these fields and the unique opportunities posed by their collaboration, truly unique solutions can be delivered.- Big Data / Supercomputing
- Digital History
- Digitization
- Education Trends
- Funding Analysis
- Gender Diversity in Engineering
- GIS / Geocoding / Geographic Intelligence (GEOINT) / Spatial Representation
- Intelligence and Corporate Intelligence / Media Analysis / Industry Monitoring / Brand Mining / Public Perception / Social Media / Event Mining
- Knowledge Management
- Measurements and Metrics from Non-Traditional Sources
- Media Management
- Natural Language Processing / Text Mining / Classification / Unstructured Text / Learning Systems
- Network Analysis / Relationship Extraction
- Records Management
- Sentiment Analysis
- Translation
- Virtual Reality
