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Benjamin T. Arai, Ph.D.

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.

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New UCR Dissertation/Thesis Latex Template

June 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 Model

February 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].

Materialized Views in PostgreSQL

January 15th, 12:25 AM
Materialized views are certainly possible in PostgreSQL. Because of PostgreSQL's powerful PL/pgSQL language, and the functional trigger system, materialized views are somewhat easy to implement. I will examine several methods of implementing materialized views in PostgreSQL.
Read on...

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