Alina Zare conducts research and teaches in the area of pattern recognition and machine learning in the Electrical and Computer Engineering Department at the University of Florida. Dr. Zare develops algorithms for automated analysis of large data sets from a variety of (usually, non-visual) sensors including multi- and hyperspectral imagery, LiDAR, ground penetrating radar, mini-rhizotron imagery, synthetic aperture sonar, wide band electromagnetic induction data, synthetic aperture radar, and others.  Her current research work includes applications in plant phenotyping, plot root imaging and analysis, forestry, remote sensing, landmine and explosive hazard detection, sub-pixel target characterization and detection, and underwater scene understanding.

Research Areas:

Current Affiliations
Experience & Education