Jalal Mahmud

 

Jalal Mahmud

 

PhD Student

Department of Computer Science

State University of New York at Stony Brook

 

 

Contact

Cell: (631) 220-6929
E-mail: jmahmud at cs dot sunysb dot edu              

 

 

Stony Brook University

 

 

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Context-directed Web Transactional System

 

Visually disabled Individuals use screen readers to browse the Web. Sequential processing of screen readers (e.g. JAWS) makes Web browsing and Web transaction time-consuming and strenuous. This system identifies and presents semantic concepts from Web pages for conducting a Web transaction. It uses contextual analysis and Web content analysis technique for semantic concept identification.

 


CSurf: A Context Based Non-Visual Web Browser

 

Visually disabled Individuals use screen readers to browse the Web. Sequential processing of screen readers (e.g. JAWS) makes Web browsing time-consuming, strenuous and causes significant information overload. CSurf is a context-driven non-visual Web browser. CSurf provides all features of a usual screen reader. However, when a user follows a link, it captures the context of the link and uses it to identify and present relevant information on the next page.
CSurf is also known as HearSay Non-Visual Web Browser.

 


GUIDE-O: Model-directed Web Transactional System

 

Online transactions typically involve a number of steps spanning several pages. Conducting such transactions under constrained interaction modalities such as handheld devices or through audio is a difficult task. Coupling automata-based process models of transactions with semantic analysis of the contents of Web pages facilitates automating such transactions. ,

 


Toxin Knowledge Base (TKB)

 

This project establishes a Toxin Knowledge Base (TKB) which encompasses information about bacterial toxins in general and toxins relevant to bio-defense, in particular. The goal of this project is to establish an easy to use database viz. a Knowledge Base to populate it self and expand using machine learning techniques, to make it more dynamic.

 

 


Vulnerability Analysis by Deductive Spread Sheet

 

Deductive spread sheet (DSS) was developed by XSB using Microsoft Excel as front end and XSB, a tabled logic programming environment as backend. With DSS, end users can program intelligent applications using the spreadsheet metaphor without having a programming background. Vulnerability analysis tool was used to detect network intrusion and possible vulnerability.

 

 


 

 

 

 

 

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