Imran Sarwar Bajwa                                                                        School of Computer Science, UOB, UK

	My Research Interests
	I am working in the Natural Language Processing Group. The Natural Language Processing group performs basic and applied research on every level of language. One main strand of both our basic and our applied research is figurative language. Another strand is assertion evaluation, concerning the modelling and emulation of the human ability to acquire knowledge through testimony. Group's applied research also includes Information Retrieval and probabilistic analysis of text, the latter leading for instance to a tool for unsupervised topic-wise clustering of large document collections. My research interests range broadly across the border between information processing and management, with a particular focus on using artificial intelligence in natural language processing based software systems. - Understanding Natural Languages (NL) Text (i.e. Semantic Analysis)  - Formal Software specifications i.e. Object Constraint Language (OCL), UML, SQL, etc - Natural Language based Model transformation - Rule Based Translation of Natural Languages - SBVR (Semantics of Business Vocabulary and Rules)   My primary area of of research is understanding and analysis of natural language text. Domain of my specialization is to understand the natural language text and extract the information and then use that information for automatic generation of UML Diagrams. UML diagrams are a way of object oriented software documentation. Common tools as Rational Rose for this purpose are very difficult to learn and are time consuming. Main aim of the research is to design and automatic system for UML diagrams to save time and improve efficiency of software documentation.