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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 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) CGPA: 9.11/10.0 Aggr: 94.9% Aggr: 83.5% Achievements 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 1 Publications 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 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 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 2 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 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 . 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 3 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 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. 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. 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. 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. 4 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 Dr. Kamalakar Karlapalem, Associate Professor, IIIT-Hyderabad Dr. Prosenjit Gupta, Associate Professor, IIIT-Hyderabad Dr. P.Krishna Reddy, Associate Professor, IIIT-Hyderabad 5