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Résumé
Krishnaveni Budati
ADDRESS
: Flat# 102, Divya Comforts,
Krishnappa Gardens, Near Sagar Apollo Hospitals,
Bangalore-560041, Karnataka, INDIA.
TELEPHONE : + 91 9886 462 283
Email
Webpage
: krishnaveni [at] gdit [dot] iiit [dot] net
: http://students.iiit.ac.in/~krishnaveni
Objective
To be a part of the research community at a good school and be involved in cutting-edge
research in the areas of Databases and Distributed Systems.
Education
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B.Tech. Computer Science and Engineering
(Honors in Data Engineering)
International Institute of Information Technology,
Hyderabad (2004)
Senior Secondary
Narayana Junior College, Nellore (2000)
Secondary
Sacred Heart Girls' High School(1998)
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CGPA: 9.11/10.0
Aggr: 94.9%
Aggr: 83.5%
Achievements
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Recipient of the Pratibha Scholarship for Excellence, by the Board of Higher
Secondary Education, Andhra Pradesh (County), 2000
Recipient of the National Merit Scholarship, by the Government of India, 2000
Recipient of the State Merit Scholarship, by the Board of Higher Secondary
Education, Andhra Pradesh, 2000
Secured 176th position among over 1.4 lakh students in EAMCET, a county-wide
entrance examination for Colleges of Engineering in Andhra Pradesh, 2000
Recipient of the Dean’s List award(awarded to top 10% of the class) during my
undergraduate study - Fall 2002, Spring 2003, Fall 2003, Spring 2004
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Publications
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BUDDIES: Bus Driven Data Dissemination System
Kamalakar Karlapalem, Gitika Aggarwal, Krishnaveni Budati
Proceedings of the 10th International Conference on High Performance
Computing(HiPC), 2003, Hyderabad, INDIA.
(Received Best Poster Presentation Award)
URL : http://students.iiit.ac.in/~krishnaveni/publications/BUDDIES.pdf
Internships and Teaching Assistantships
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Summer internship for Sabio Digital Corporation, Brazil
Fall 2002 (Duration - 3 Months)
Teaching Assistant for the course 'Introduction to Database Management
Systems', Spring 2003
Instructor : Dr. P.Krishna Reddy (pkreddy [at] iiit [dot] net )
Grading course projects and answer scripts, setting question papers for lab
exams, conducting tutorials and lab exams
Experience in the Industry
Position Held
Nature of Work
Name of Organization
Period
Support Engineer
Software Analyst for the Data Warehousing and OLAP
products of Oracle
Oracle Corporation Pvt. Ltd (India)
06/2004 - To date
Skill Set
Programming Languages and
Environments
Programming Tools
Operating Systems
C, C++, Java, Perl
OpenGL, VRML , Matlab, Qt
Windows 98/ME/2000/XP, Linux
Research Interests
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Databases
Distributed Systems
Computational Geometry
Honors Stream Courses and Content
Introduction to Database
Management Systems
(Spring 2002)
Entity-relationship model, Relational Model, Relational
Algebra and Calculus, Database Design and Normalization,
Indexing Schemes, Integrity, Concurrency control,Transaction
Management,Recovery,Query Processing, SQL.
Architectures, Distributed Database Design, Distribution
Transparency,Data Replication, Query Decomposition and
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Distributed Database
Management Systems
(Fall 2002)
Data Warehousing and Data
Mining
(Spring 2003)
Optimization, Distributed Transaction Management,
Distributed Concurrency Control, Reliability
RDBMS Vs Data Warehouses, Data Warehouse schemas,
Applications of Data Warehouses, Sources of data, Problems
with data, Data Cleaning, Data pre-processing, Clustering ,
Classification, Decision trees, Association Rule Mining.
Select Elective Courses
Computer Graphics, Pattern Recognition, Performance Evaluation of Computer Systems,
Introduction to Natural Language Processing, Finite Element Methods
Undergraduate Coursework
Computer Programming, Data Structures, Computer Organization, Artificial Intelligence,
Analog and Digital Circuits, Operating Systems, Computer Networks, Introduction to Databases,
Discrete Mathematics, Signal Processing, Principles of Programming Languages, Programming
Language Processors, Theory of Computation, Algorithms, Software Engineering.
Research Projects
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BUDDIES - Bus Driven Data Dissemination System
(Jan 2003 – April 2004)
Project Guide: Dr. Kamalakar Karlapalem, Dr.P.Krishna Reddy
Recently, with the dramatic improvements in global interconnectivity due to the Internet,
the web community has been witnessing a boom in the number and variety of dataintensive applications. However, a simultaneous explosion in the user-base for these
applications has given rise to major scalability and reliability issues w.r.t the network as
well as the servers that host these applications. To address these issues, past research has
yielded a number of systems like those based on server-side scheduling, differentiated
services and publish-subscribe paradigm. BUDDIES was developed with a similar aim in
mind. BUDDIES combines the ideas of pull-based data-dissemination with those of pushbased data-dissemination; content-based routing, multicast and QoS. Comprehensive
experimentation has demonstrated that BUDDIES reduces network traffic and server-side
computations at the cost of a reasonable increase in response-time. Preliminary results of
the same were compiled into a paper that won the Best Poster Presentation award at the
International Conference on High Performance Computing (HiPC) – 2003 .
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Proposal for the usage of disk-resident data structures in MAGIC
(July 2003 – December 2003)
Project Guide: Dr. Prosenjit Gupta
The objective of the project was two fold: to critically understand the pros and cons of the
various spatial access methods used in solving some of the fundamental problems in
Computational Geometry and to apply this knowledge in proposing the usage of diskresident data structures for the execution of the basic operations of MAGIC, a widely
used VLSI layout editor. As part of the project, I did an extensive literature survey of the
various spatial access methods, both memory and disk-resident, used in solving
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fundamental computational geometry problems such as point-location, nearest-neighbor
search, finding rectangle intersections. The project also involved doing a detailed case
study on MAGIC.
Other Projects
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Design and Development of a Distributed Database System
Course: Distributed Database Management Systems (Fall 2002)
Instructor: Dr. Kamalakar Karlapalem
A Distributed Database Management System built on top of the MySQL DBMS, to
handle distributed query processing, query optimization and transaction management,
with fragmentation transparency. The DDBMS was designed to handle simple select,
insert, update and delete SQL queries.
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A data mining exercise using WEKA, a Data Mining toolkit
Course: Data Warehousing and Data Mining (Spring 2003)
Instructor: Dr. Kamalakar Karlapalem
The project involved extracting useful information from a real-life tennis dataset using
WEKA, a toolkit providing a collection of machine learning algorithms for data-mining
tasks. It included the application of data pre-processing, classification, clustering and
association-rule mining algorithms. The project was revelatory in terms of exposing the
degree of thought and effort that goes into carrying out the data mining tasks such as
data cleaning, determining the appropriate data mining algorithm (depending on the
nature of the data), interpreting the final results.
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Design and Development of a Database System
Course: Introduction to Database Management Systems(Spring 2002)
Instructor: Dr. Kamalakar Karlapalem
The project involved planning and designing a Relational Database System using
MySQL for the Forest Department of Andhra Pradesh(County). The objective of the
project was to get a hands-on experience on the various stages of building a relational
database for a real world environment - designing the ER Model, converting it to a
Relational Model, normalizing it and finally developing end-user applications.
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Pronoun co-reference resolution using the Centering approach
Course: Introduction to Natural Language Processing(Fall 2003)
Instructor: Dr. Rajeev Sangal
The project was based on the paper by Susan et.al. - 'A Centering Approach to Pronouns'.
The paper presents an algorithm to track the discourse context and bind pronouns to the
corresponding entities introduced in the discourse. The project involved implementing
the algorithm and evaluating its effectiveness in diverse discourses.
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Toolkit to generate MathML code, given mathematical equations or
expressions in text format
Company: Sabio Digital Corporation, Brazil (Fall 2002, Duration - 3 Months)
The project aimed at developing a toolkit to generate MathML code, given mathematical
equations or expressions in text format. Mathematical Markup Language (MathML) is a
markup language used for displaying mathematical notation and content on the web. Any
mathematical content coded using MathML, when seen in a browser enabled for
MathML (eg. Amaya), would show up the content just as written on paper. The toolkit
was designed to help Mathematics teachers in teaching high-school children.
Conferences attended
10th International Conference on High Performance Computing (HiPC), 2003,
Hyderabad, INDIA.
References
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Dr. Kamalakar Karlapalem, Associate Professor, IIIT-Hyderabad
Dr. Prosenjit Gupta, Associate Professor, IIIT-Hyderabad
Dr. P.Krishna Reddy, Associate Professor, IIIT-Hyderabad
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