arun gupta - Waisman Laboratory for Brain Imaging and Behavior

advertisement
NAGESH ADLURU
1046 West Jefferson Street (Apt # 12)
Philadelphia, PA 19122
Email: [email protected]
Phone: (267) 205 0207
http://astro.temple.edu/~nagesh
OBJECTIVE
Seeking a summer internship position in Computer Science and Engineering industry.
EDUCATION
01/2005 – Present
09/2003 – 12/2004
12/1999 – 05/2003
EXPERIENCE
05/2005 – 08/2005
PhD in Computer Science, Temple University, Philadelphia, PA (Advisor: Prof.
Richard Beigel)
MS in Computer Science, Temple University, Philadelphia, PA
BS in Computer Science & Engineering, Jawaharlal Nehru Technological
University, Hyderabad, India
RJBEnterprises, Elkins Park, PA, USA
Summer intern

Build a windows application and Internet Explorer toolbar, to secure address books on computers to protect
them from email worms. We use a special hashing technique to secure email addresses.

Build a commercial website in ASP.NET. The payment system uses the PayPal integration techniques
(http://nadluru.homedns.org/RJB_Enterprises/Project/home.aspx).

Technologies used: .NET library with Visual Studio 2003. MS SQL Server 2000, JSP, Dreamweaver.
05/2004 – 08/2004
Intelli-Media Inc., Malvern, PA, USA
Summer intern
Research and critical technology development for iDocument project. The project involves building software for
taxonomical classification of electronic documents based on their content. The goal of the project is to properly index
the documents for better searching ability. Also there were additional benefits of integrating the core engine with MS
WORD so as to catalog the documents when created.
Project


iDocument

08/2003 – Present


Responsibility
Research available text mining papers and tools.
Build core document processing engine for
extracting and mining the content of electronic
documents using Web Services, customizing
LEMUR and .NET.
Build prototype applications like indexing
documents downloaded by a crawler.
Technology Used
ASP.NET, Java,
C#, Web Services,
EJB, XML, SQL
Server 2000, C++
(LEMUR – a text
processing
package developed
by CMU).
Temple University, Philadelphia, PA
Graduate Student
Research Assistant: Research on proactive anti-viruses (patent pending).
Teaching Assistant: Teaching Operating Systems and Networks and Network Security to undergraduate
students. Responsibility is to conduct labs for students and help them in debugging their programs.
Academic projects
Project
Natural Language Processing:
Statistical Machine Translation by
Parsing, An Improvement to MTV
(Multi-Tree Viewer)
Responsibility/Description
Research about Machine Translation techniques and in
particular about techniques using parsing. Evaluation
of the translation process is crucial for improving
translation techniques using parsing. Our project
contributes to the process by enhancing Multi-Tree
Viewer, a toolkit developed by NLP lab at NYU in
Technology Used
Java
Examining the effects of the
perceived capabilities of various
actors and affordance provided by
environmental constants to further
the proposition of Collaborative
Action Theory (CoAcT) (Grad)
Improving fast query-optimized
kernel machines that use
incremental approximate nearest
support vectors (Grad)
Applying contrast classifier to build
network intrusion predictor (Grad)
Developing a serial device driver
and a front-end GUI application in
Linux (Undergrad)
collaboration with others. Our contribution is accessible
at http://nlp.cs.nyu.edu/bugzilla
Build a website for online survey using session
variables for controlled navigation through the survey
pages.
The project is about collecting and analyzing statistical
information about how users react to different
scenarios. The project was done as part of the course
in User Interface Design.

Implementing the research paper – Fast queryoptimized kernel machines using incremental
approximate nearest support vectors.

Improved the idea by improving computational
complexity thus saving computational time.

Implementation was done in MATLAB using SVM
package and C as supplements.

Research the intrusion detection techniques that
use data mining.

Understand how contrast classifiers (a special
technique that uses unlabeled data to improve
classification prediction).

Use the contrast classifier technique for building
network intrusion predictor. The data used was
from University of California, Irvine KDD cup 1999
data.






Image reconstruction using
tomography (Undergrad)
SKILLS
Web Development
Operating Systems
Databases
Programming Languages
Desktop Applications
Understand various system calls in Linux to
program registers of the serial port.
Build a driver for the serial port in C.
Build a file transfer protocol that would use the
driver we built.
Build a GUI application that would have
functionalities similar to HyperTerminal on
Windows and uses our driver capabilities.
Understand basic concepts of Tomography
Implement an approximate prototype to
reconstruct the cross section of a uniformly dense
cylindrical pillar.
ASP.NET using
VB.NET, SQL
Server 2000.
C, MATLAB,
Support Vector
Machine software
package by
Thorsten
Joachims, Cornell
University.
MATLAB, Contrast
Classifier package
developed by
Kang Peng et. al.,
IST Temple
University.
C, C++, Qt
Designer (Linux
GUI tool).
C++.
ASP.NET, Web Services, XML, JSP, MS FrontPage
Windows, Linux
Oracle, SQL Server 2000, Access
Java, C#, C, C++, VB.NET, COBOL, MATLAB
MS Office (MS word, MS Excel, MS PowerPoint, MS Access)
CONFERENCES ATTENDED



GPBA (Greater Philadelphia Bioinformatics Alliance) conference at Penn State, Great Valley Corporate
Center. The conference was on Bioinformatics with the important topic being Microarrays.
EITC (Emerging Information Technology Conference) 2004 conference at Princeton University. The
conference had presentations on different topics like security, advanced networks, sensor based distributed
computing etc.
Theory day – conferences on theoretical computer science at NYU, Columbia University.
RECOGNITION


Recipient of 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.
Recipient of National Merit Scholarship for very good academic performance in Intermediate education.
REFERENCES
Available upon request.
Download