- Database Systems Laboratory
- Courses - Undergraduate
- B. Tech
- Courses - Graduate
- Post Graduate Diploma in Computer Science, PhD
- Distributed Information Systems,New Query Languages,Electronic Health Records,Big Data Analytics,Networked Information Systems
- Educational Background, Biography
- Studied at Indian Institute of Technology, Delhi for BS, MS, and PhD.
Also, worked at MIT as a Visiting Scientist (post doctoral) for 1 year.
- Current Research Theme
- Synchronization and Recovery in Distributed Systems,New Query Languages for skilled and Semi-skilled users
- Key Topic
- Affiliated Academic Society
- IEEE Computer Society, ACM Sigmod
- Reading and writing essays, Occasional long walks
- School days' Dream
- Playing cricket for the National team
- Current Dream
- Creating a useful service such as a healthcare helpline for those who need it
- Think before taking an action
- Favorite Books
- "How to solve it", "Autobiography of a yogi"
- Messages for Students
- Take more challenges for improving physical, mental and spiritual health- An easy path is not always the best path
- Publications other than one's areas of specialization
- 1. Semantic Interoperability in Standardized Electronic Health Record Databases", ACM Journal of Data and Information Quality (JDIQ), April 2012.
2. Usability Measures for Large Scale Adoption of the Standardized Electronic Health Record Databases", Journal of Information Processing (JIP), Vol. 22, No. 3, 2014
3. AQBE - QBE Style Queries for Archetyped Data", IEICE Transactions, Vol. 95-D(3), pp. 861-871, (2012)
4. Integrating Keyword Search with Multiple Dimension Tree Views over a Summary Corpus Data Cube", ACM SIGMOD 2010, USA.
5. Query-by-object Interface for Information Requirement Elicitation in M-commerce", in International Journal of Human-Computer Interaction Volume 20, Number 2, March 2006.
6. Asynchronous Backup and Initialization of a Database Server for Replicated Database Systems", The Journal of Supercomputing , Kluwer Academic Publishers, Vol. 27, No 1, January 2004
7. Asynchronous Operations in Distributed Concurrency Control", IEEE Transactions on Knowledge and Data Engineering, Vol. 15, No. 3, pp. 721-733, May 2003.
- QBO – A database search method that reduces burden and inconvenience for users: using mobile phones to search mapping databases quickly and conveniently
- Query-by-Object (QBO) approach
QBO is a new way to search databases. Because it offers commands such as "search by object" and "designate another search based on the search results", as part of its features QBO demands less cognitive load from users and displays information in a manner better designed for small devices. It is particularly helpful for searching data in map databases.
- Database searching problems with the Web and regular databases
Almost all applications (such as banking applications) display map information that shows the positions of service points such as ATMs and branches or outlets.
Let's say, however, that a user wants to know for example the ATM nearest to his or her current location. If more than one bank shares a single ATM, the information involved in the search becomes more complex, making it more burdensome for the user, who in this scenario may have to look at the website of each bank one by one in order to find the nearest ATM.
In addition, for database search languages such as SQL, the user needs to have knowledge of the search target, as well as knowledge of SQL grammar.
- Simple searching of data equivalent to SQL
Just like when a user says "I want to find a post office or a bank branch on Route 49 with an ATM", it makes more sense to narrow down a search target, in a manner involving a connection with multiple objects that the user can recognize in his/her everyday life.