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I am a Ph.D. graduate from the Marlan and Rosemary Bourns College of Engineering at
the University of California, Riverside. I currently work for Microsoft in Washington. My research interests include
top-k retrieval methods, peer-to-peer networks, sensor networks, stability/temporal clustering, and
approximate query processing. This site contains a brief history of my academic (research topics,
publications, projects, courses) and extracurricular activities (pictures, hobbies, community
involvement) during my undergraduate and graduate career at UCR. If you have any questions,
please feel free to contact me.
Pub (VLDBJ 2009): Anytime measures for top-k algorithms on exact and fuzzy data setsMay 10th, 10:07 PM Top-k queries on large multi-attribute data sets are fundamental operations in information retrieval and ranking applications. In this article, we initiate research on the anytime behavior of top-k algorithms on exact and fuzzy data. In particular, given specific top-k algorithms (TA and TA-Sorted) we are interested in studying their progress toward identification of the correct ...
Webpage
New UCR Dissertation/Thesis Latex TemplateJune 8th, 06:51 PM I have updated the close to decade old UCR (University of California, Riverside) thesis/dissertation Latex template to work with 2008 guidelines (these template updates are only the formatting changes I was required to make for acceptance by graduate division). Read on...
I am going to Microsoft!June 8th, 05:19 PM As of July 7, 2008, I will be working for Microsoft in Bellevue, Washington. I will be doing data mining stuff - i.e., knowledge discovery on very large datasets. I will be working in the Avanta Building, I think, which is just east of downtown Bellevue. We'll see how this cold weather thing works out...
I have completed my PhD!June 7th, 09:21 PM 
As of June 6, 2008 I have completed my final defense and I am now officially Dr. Benjamin Arai! After four long years, it is finally over... Actually, it was kind of fun. All the interesting problems kept me adequatly busy. It's a little wierd not having to go to school anymore. Maybe I will get an MBA?
Scalable Ingestion/Presentation for the METS/ALTO Object ModelFebruary 13th, 03:45 PM Craig Boucher and I have developed a highly scalable ingestion and online access system for the METS/ALTO object model with logical structure. The key to our system is a highly distributed paradigm that utilizes a minimal lock contention approach for maximum system utilization - i.e., you can have users accessing the system while simultaneously ingesting large amounts of data from several independent machines without skipping a beat. Our system is built on C#/Mono and Ruby-on-Rails. Feel free to contact me for a copy of our recent publication submission. You can view the demo of our system at [Website].
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