I have wide-reaching research interests in AI including knowledge representation and reasoning, machine learning, plan and activity recognition, natural language understanding, and information retrieval and extraction. Currently, my research is focused enabling autonomous systems to recognize plans and intentions of human team members and/or adversaries from observed and reported behavior. My past research has mostly concentrated on computational analogy, i.e., reasoning with and learning from deep similarity. I have successfully incorporated computational models of analogy into a range of AI applications to enhance their functionality including, information retrieval systems, knowledge extraction systems, model-based reasoning systems, and planning systems.
More details about my current and past research projects can be found here.