Research Interest: study human behavior on the web via an interdisciplinary approach of Computer and Social Sciences. I model individual and group behavior (e.g., intent, comprehension, attitude and engagement) in online communities to design cooperative information systems that mine crowd-generated and opensource data to support organizational decision making. This research is employed into a variety of humanitarian informatics problems for social good, including emergency management, gender-based violence, public health resilience, and STEM efforts assessment.
Technical Interest: merge top-down and bottom-up data mining approaches by employing domain semantics and guidance from offline socio-behavioral knowledge into statistical methods, and understand online individual and group behavior from unstructured, large-scale social and web data.
Check relevant projects of Humanitarian & Social Informatics Lab (HSIL) research group.
Studying real-world problems
related to online human social dynamics (engagement, intent, belief, cooperation) in social network communities by leveraging models using behavioral knowledge from psychology (Social Identity, Social Cohesion, etc.). I have worked on Intent Mining, Bipartite Matching, Expert Detection, Community Evolution, and User Engagement analysis in large-scale unstructured data from social media. My research has key applications in improving humanitarian crisis coordination and the understanding of online user behavior.
at the local to global level with interdisciplinary experts including Prof. Amit Sheth (Semantic Web), Prof. Valerie Shalin (Cognitive Science), Prof. John Flach (Cognitive Systems), & Prof. T.K. Prasad (Algorithm Design) at WSU, Prof. Srinivasan Parthasarthy at OSU (Networks and Data Mining), Dr. Meenakshi Nagarajan at IBM Research (Social Computing), Dr. Patrick Meier (Humanitarian Coordination) & Dr. Carlos Castillo (Crisis Computing) at QCRI, and Dr. Fernando Diaz at Microsoft Research (Matching models).
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