Computational & discrete geometry: Paradigms & techniques, approximation algorithms, stochastic models, geometric optimization, kinetic geometry, data structures, arrangements, proximity problems, trangulation, motion planning, geometric sampling.
Shape Analysis: Representation, matching, clustering, similarity searching.
Trajectory data analysis: Trajectory segmentation, matching, clustering, answering queries.
GIS and ecologic modeling: Terrain modeling and analysis, navigation, visibility, flow analysis, ecological modeling.
Sensor networks: Processing sensor data, communication and energy efficient algorithms, sensor network design, sensor networks for ecological modeling.