Research Interest: Investigate human behavior in online data streams via interdisciplinary research in Information and Psychological Sciences that informs the design of intelligent/AI systems to augment human capabilities at workplaces, especially realtime information and knowledge management. I create human-centered computing methods for human-AI collaboration to observe, model, and analyze individual behavior in online social environments at scale, using new semantic computing, NLP, and ML techniques guided by socio-psychological theories. This research is employed in the design of information systems for social good applications and future smart city services for a variety of domains, including natural crises (e.g. hurricanes), societal crises (e.g. hate, gender violence), and human crises (e.g. terrorism, cyber attacks).
Technical Interest: Fuse top-down and bottom-up data mining approaches to develop explainable computational models with domain knowledge and cognitive/social theories, which helps in both predicting and explaining implicit behavior in unstructured social, web, and IoT streams at scale.
Check Humanitarian, Semantics & Informatics Lab (Human_Info_Lab) research group page.
Grants and Acknowledgement: We are grateful to the following agencies for supporting our research and its integration into education: U.S. National Science Foundation (NSF), Office of Navel Research (ONR), Department of Homeland Security (DHS), as well as Western Norway Research Institute with Research Council of Norway (RCN):
Selected Publications: (full list: Google Scholar Profile)
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