The research projects at BDaL are funded by the National Science Foundation, Office of Naval Research, National Institute of Health, and Microsoft Research.
The goal of this project is to develop an optimized human-machine intelligence framework for single and multi-label classification problems through active learning.
The key goal of this project is to enhance the synergy of hybrid human-machine teams to become more effective units, achievable via efficient multi-objective optimization algorithms for agile mission planning.