Research Interests

I am a Ph.D. student studying information science. My research interests are in understanding how socio-technical factors affect various kinds of communities, organizations, and individuals; how the information landscape of a community is shaped by community-level features and components; and what factors and actors are crucial in designing local information systems.

In order for this, I often model urban entities and behaviors using various kinds of data and utilize computational methods. Through research studies, I want to further theorize/conceptualize the dynamics of a city and people's access to local information, and potentially contribute to organizational and/or information theories. The relevant fields to my research interests include, but are not limited to, HCIsocial computing, information systems, and community/urban informatics.


I have been working with Dr. Brian Butler as my advisor in the doctoral program at the University of Maryland’s iSchool to understand local information issues such as neighborhood information accessibility and its causes, conceptualize these phenomena, and find solutions. I am also actively working with Dr. Richard Marciano (Digital Curation Innovation Center), Dr. Ping Wang (UMD iSchool), Dr. Grant McKenzie (UMD Geographical Sciences), and Dr. Afra Mashhadi (Bell Labs and UW Affiliate). Additionally, I am a Junior Fellow at the Center for the Advanced Study of Communities and Information (CASCI) and a Data Science & Technology Fellow at The Center for Open Data Enterprise.

My Background

Before beginning my studies at Maryland's iSchool, my focus was mainly on computing systems and software engineering including signal processing (e.g., image and sound data processing) and embedded software (i.e., low-level customized software for computing devices). For my master's thesis, I designed a MapReduce-inspired software framework for swarm robot systems to reduce the complexity of application development while allowing energy-efficient transmissions of robots' sensory data. At that time, I read Swarm Intelligence (Kennedy et al., 2001), and was intrigued by the underlying philosophy of swarm robot systems, which assumed that intelligence was possible only when multiple agents exchanged their different perceptions of information. This raised my intellectual curiosity for people's use and exchange of information that resulted in high intelligence of humans, and eventually led me to pursue studies in the field of Information Science.