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 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), Commonwealth Cyber Initiative (CCI), Virginia; Oak Ridge Institute for Science and Education (ORISE), U.S. Office of Navel Research (ONR), U.S. Department of Homeland Security (DHS), 4VA Program and CAHMP Center at Mason, as well as Western Norway Research Institute with Research Council of Norway (RCN):
Selected Publications: (full list: Google Scholar Profile)
Quick Summary: (full CV)