My love for the reach and power of numbers, coupled with my passion for new technologies and my diverse background has created in me a fascination with how new technologies and digital information impact individuals and organizations. More specifically, my research goals are focused on studying and addressing the challenges that emerged with the information age.
With these goals in mind, my current research is focused on addressing the challenges stemming from the high volume, velocity, and variety of digital information. Research questions include how to capture, curate, store, search, share, analyze and visualize the digital information in order to support the user needs. Most recently I have been investigating approaches for the curation and preservation of digital assets and addressing the challenges associated with the long term accessibility of these assets. I have also worked on the algorithms to reduce information overload problem. In particular, I have been exploring various recommendation techniques like content-based, knowledge-based, and collaborative filtering methods to over this problem. I am interested in studying how information retrieval techniques and, more specifically, recommender systems impact individuals and organizations.
Another branch of this research stream, related to my dissertation work, focuses on optimization techniques for information retrieval systems. I worked on web caching and pre-fetching techniques to improve the performance of recommender systems. Active semantic caching techniques are an extension of the caching model whereby estimation is used to generate an answer for queries whose results are not explicitly cached. Estimation makes use of the results cached for related queries. This solution utilizes query semantics and substantially extends the performance of traditional caches by placing the cache in a limited query processing role. In the future, I plan to extend my research to investigate similar optimization technique for other information retrieval systems. Performance of applications like search engines, voice recognition, face detection etc. can be significantly improved using a similar approach.
Most recently I have conducted research in the area of wireless sensor networks (WSNs), their applications and their data management aspect. I am interested in investigating the possibility of re-using cached data for minimizing data traffic in the WSNs. I also have an interest in solving data mining problems and providing business intelligence to organizations by combining techniques from machine learning, statistics, and databases.
In general, I am interested in conducting research in the areas such as wireless sensor networks, information retrieval, information filtering, digital preservation, human/computer interaction, data management, user behavior, digital libraries and performance optimization. My diverse academic background and professional experience has prepared me well to adapt to the myriad challenges of this field, and I have a determination to excel in these exciting areas of research.