Research Scientist, Ocala
Dr. Milenko Petrovic specializes in creating big data systems for extracting knowledge, insights and patterns. His research addresses the challenges of scalable data acquisition and storage, parallel processing algorithms and data visualization in a variety of domains including medicine, natural sciences, unstructured and graph data. He is particularly interested in approaches that efficiently exploit state-of-art hardware and cloud computing technologies.
- Rapid Learning System for Cancer Research: Hypothesis discovery in very large clinical and genetic oncology databases
- EdenDB: Ecosystem analysis using large scale fusion of hyperspectral imagery and unstructured data
- Scalable Semantic Memory: Efficient “spreading activation” over large semantic graphs
- Knowledge base Acceleration: Streaming information extraction from web data
Liu, H., Wu, Z., Petrovic, M., Jacobsen, H.-A., Optimized cluster-based filtering algorithm for graph metadata. Information Sciences. 181(24): 5468-5484. January 2011.
Wun, A., Petrovic, M., Jacobsen, H.-A., A system for semantic data fusion in sensor networks. In Proceedings of International Conference on Distributed Event-Based Systems (DEBS) p75-79. June 2007. (Software demo)
Muthusamy, V., Petrovic, M., Jacobsen, H.-A., Effects of Routing Computations in Content-Based Routing Networks with Mobile Data Sources. In Proceedings of 11th Annual International Conference on Mobile Computing and Networking (MOBICOM) p103-116. August 2005.
Petrovic, M., Liu, H., Jacobsen, H.-A., G-ToPSS: Fast Filtering of Graph-based Metadata. In Proceedings of 14th International World Wide Web Conference (WWW) p539-547. May 2005. Best Paper Finalist.
Petrovic, M., Muthusamy, V., Jacobsen, H.-A., Content-Based Routing in Mobile Ad Hoc Networks. In Proceedings of 2nd International Conference on Mobile and Ubiquitous Systems (Mobiquitous) p45-55. July 2005.
15 SE Osceola Avenue, Ocala, Florida 34471