I am a PhD candidate in School of Information and Computer Science in University of California Irvine.
My advisor is Professor Ramesh Jain and I have experienced interesting research projects under his supervision. My current research is focused on constructing dynamic version of a context-adaptive ontology for Social Life Network in which neither the number of cloud-based data sources nor the properties of each data source is fixed. We are investigating the challenges of such dynamic framework. The data sources may include social media in which various data and context is shared and made publically available. Such information is used to create new data for a specific event domain. This is a major extension to my previous work (Context-Adaptive Ontology,EPT). This is an ongoing research.

My previous work(Context-Adaptive Ontology,EPT) is a framework to annotate a collection of personal photos that have EXIF metadata automatically with events. This is the essential aspect of the semantics of our annotation. The reason is people take photos to capture their actions, and events represent actions. However since events have superevent-subevent in their structure, the subevent relationship needs to be discovered. We take advantage of the subevent hierarchy to annotate photos. Our approach uses personal context, ontology, and multiple data sources on the cloud. Ontology is a graph that is used to model event properties and other entity relationships. The goal is to create a context-adaptive model on the fly that adapts to a certain situation and is used to annotate the input photo collection automatically. This project is motivated by increasing number of sensors on mobile devices that can record the user context; the information that is eventually used to annotate an archived collection of photos. The backend processing of this framework is implemented using JAVA libraries. The front-end is implemented using JAVA script. The storage is based on MongoDB that is based on collection of JSON objects.

My research also includes the design and modeling of an event-based composition environment (ECO). It is implemented under EMME that is an event-based information system developed in our lab. I modeled, designed, and implemented the event composition operators. For that, I established containment rules under the subevent relationship in the event-modeling environment. The job of these operators is to create new attributes and properties according to the predefined containment rules (axioms) for a superevent from its subevents. I used Google Web Toolkit that has JAVA backend capability for this development.

I am affiliated with information system groups ESL and ISG. I am glad that I had / have the opportunity to obtain valuable experiences in Computer Science area from my bachelor’s degree to my ongoing graduate studies.

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