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