Network Flow Optimization Algorithms:

        Place:          BITS, Pilani, India.

       Duration:     January 2003 to May 2003

       Advisor:      Dr. Rajiv Kumar, Lecturer, Department of Mathematics

      The project is concerned with the analysis, design and implementation of various algorithms for producing the maximum flow in a capacitated network. The algorithms which were implemented are Ford-Fulkerson and extensions of the same. The coding was done in C language and besides the implementation; the time-complexities of the modules were analyzed and the code was optimized accordingly.

      Duration:    July 2002 to December 2002

      Advisor:     Mr. Mahesh Saptarishi, Team Manager, Veritas Volume Replicator,

                       Veritas Software India Ltd. (VSIL), Pune, India

      The project is concerned with developing a Disaster Recovery Solution for Oracle databases in the event of a disaster in the source station. I worked on developing the various strategies required to recover the databases illustrating each of the strategy with the recovery procedures. They were deployed for both standby and clustered nodes in various scenarios and were successfully tested and implemented. The project was coded using Oracle scripts involving hot and cold-backup of the table spaces and restoration of the same. On similar lines, I researched further and developed a generic application neutral Disaster Recovery Solution in which I classified the applications into several categories and designed a DR plan which describes the procedures for recovery and post-disaster operations for a safe and orderly recovery of data with minimal control information.

    Duration:     January 2002 to May 2002

    Advisor:      Prof. Rahul Banerjee, Coordinator- Center for Software Development, BITS, Pilani.

    This was a long term research project funded by the European Commission's Next Generation Networks Initiative (NGN-I) requiring the design and implementation of BITS-LifeGuard; a computing system which could be worn while driving a vehicle. The computer uses a micro Intel Strong ARM Processor which is used to communicate with another computer fitted in the car with the help of Bluetooth. In the event of an exigency such as driver being unconscious, the computer initiates an auto-driver with the landscape information obtained through Global Positioning system (GPS). The project comprised of research and implementation of the following modules:  

• Extraction of the vehicular positioning data at a specific instance through the source file obtained from GPS.
•  Extraction of the data pertaining to various entities on the landscape and mapping their geographical co-ordinates to that of the vehicle.
• Implementation of Computer Vision Algorithms to identify different objects from a  given image.
• Implementation of a cross-compilation environment to port the applications from  Pentium Processor to Intel Strong ARM Processor used in the Wearable Computing system.