NAGESH ADLURU (nagesh@temple.edu)

http://astro.temple.edu/~nagesh

3245, 2nd Floor, North Park Avenue, Philadelphia, PA 19140 (Ph: 215-430-0529)

 

Objective

To get admitted into PhD program with financial support and successfully use and increase my knowledge, versatility and energy.

 

Work/Research Experience

·         Research and Programming intern at IntelliMedia Inc. – Summer 2004

·         Working on improving network security by implementing a new technique of fixing vulnerabilities in systems.  My advisor is Dr. Richard Beigel.

 

Education

·         Temple University

Master of Science in Computer and Information Science – Expected January 2005,

Cumulative GPA: 3.90

·         Jawaharlal Nehru Technological University, India

Bachelor of Technology in Computer Science and Engineering – 79.28% (Rank: 1)

 

Skill Set

·         Personal Strengths: Original, innovative, passionate for results, open minded, perseverant.

·         OS: LINUX, DOS, Windows 9X/NT/2000/XP.

·         Languages: C, C++, Java, COBOL, Assembly Language for 8085 & 8086.

·         Software Packages: MATLAB, MS OFFICE (WORD, EXCEL, POWERPOINT).

·         Databases: SQL2000, MS ACCESS, ORACLE, PL/SQL.

·         Web technologies: ASP.NET, Java Web Services, XML, FRONTPAGE, Flash.

·         Development technologies: C#, VB.NET, VC++, Qt Designer.

 

Awards/

Memberships

·         Awarded a Gold Medal for academic excellence in B. Tech CSE.

·         Best performance in Project Facilitation Program at Rendezvous On Chip Pvt. (I) Ltd. for project titled Developing a Device Driver in Linux and a Front-end GUI Application.

·         First prize in the State level mini project competition for the project titled Image Reconstruction using Tomography.

·         Awarded National Merit Scholarship for very good academic performance in Intermediate education.

 

Projects/

Presentations

Projects:

·         Research & Development of Document Processing Engine for managing and classifying documents by their textual content.

·         Improving Fast Query-Optimized Kernel Machines that use Incremental Approximate Nearest Support Vectors.

·         Applying Data Mining Methods to Build Network Intrusion Predictor (using Contrast Classifier).

·         Implementation of Monitors for multi-threaded critical section control application.

·         Implementation of Semaphores in Linux for critical section control.

·         Implementation of spin-locks in Linux for mutual exclusion.

·         Developing a Serial Device Driver in Linux and a Front-end GUI Application.

 

Paper Presentations:

·         Adaptive Intrusion Detection – A Data Mining Approach (paper by S.J. Stolfo et al.)

·         Kernel Independent Component Analysis (paper by Michael Jordan & Francis Bach)

·         ‘Quantum Cryptography’ – The concepts and BB84 Key Distribution Protocol.