I completed my Ph.D. in the Department of Computer Science at Duke University, and am currently a researcher in the DB group at Microsoft Research. During my Ph.D., I worked with my advisor Dr. Jun Yang in the Duke database group. I am interested in databases and distributed systems, with particular interests in publish/subscribe systems and continuous query processing, traditional database query processing and optimization, distributed data management with application-level networking, and pervasive access to data and applications. My publications have appeared at the top database conferences, including SIGMOD, VLDB, and ICDE.

Education

• Ph.D. Computer Science, Duke University (2008)
  Topic: Unifying Databases and Internet-Scale Publish/Subscribe
  Advisor: Dr. Jun Yang
  Nominated for SIGMOD best dissertation award.
• M.S. Computer Science, Duke University (2004)
  Topic: Distributed network querying: reducing costs by providing approximate answers
  Advisors: Dr. Jun Yang and Dr. Amin Vahdat
  Outstanding Research Initiation Project Award, Duke University.
• B.E. Computer Science, VJTI, Mumbai, India (2000)
  Distinction with overall rank among top three.

Work Experience/Internships

• Summer 2005: Research Intern, IBM T. J. Watson Research Center, NY. Mentor: Dr. Hui Lei
• Summer 2004: Research Intern, IBM T. J. Watson Research Center, NY. Mentor: Dr. Hui Lei
• 2000-2002: Software Design Engineer, Texas Instruments Research and Development Center (India)

Research Interests

My primary research interest lies in databases and distributed systems. My dissertation focuses on data management and continuous query processing, with an emphasis on distributed applications. I have also worked on core query processing challenges in modern database systems which have to manage queries with varying priorities. I am also interested in enabling pervasive access to business data and applications.

Briefly, my current research interests include:

• Databases, publish/subscribe systems, and continuous queries
• Query processing and optimization
• Distributed systems and distributed data management
• Pervasive access to data and applications
• Approximate distributed query processing

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