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.