Ashraf Uddin

Work place: Department of Information Technology, Federation University, Australia



Research Interests: Artificial Intelligence, Neural Networks, Computer Architecture and Organization, Network Architecture, Network Security, Data Structures and Algorithms, Analysis of Algorithms


Md. Ashraf Uddin received the B.Sc. and M.S. degree in Computer Science and Engineering from the University of Dhaka, Bangladesh, in the year 2008 and 2010, respectively. Currently, he is serving as Assistant Professor in the Department of Computer Science and Engineering, Jagannath University, Bangladesh. He was former faculty member of Dept. of Computer Science and Engineering, Mawlana Bhashani Science and Technology University as a lecturer. He is currently pursuing the Ph.D. degree at the faculty of Information Technology, Federation University, Australia. His research interests include the area of cybersecurity and modeling, analysis, and optimization of protocols, Artificial Neural Network, Big Data, sensor network etc.

Author Articles
An Efficient Approach for Keyphrase Extraction from English Document

By Imtiaz Hossain Emu Asraf Uddin Ahmed Manowarul Islam Selim Al Mamun Ashraf Uddin

DOI:, Pub. Date: 8 Dec. 2017

Keyphrases are set of words that reflect the main topic of interest of a document. It plays vital roles in document summarization, text mining, and retrieval of web contents. As it is closely related to a document, it reflects the contents of the document and acts as indices for a given document. Extracting the ideal keyphrases is important to understand the main contents of the document. In this work, we present a keyphrase extraction method that efficiently finds the keywords from English documents. The methods use some important features of the document such as TF, TF*IDF, GF, GF*IDF, TF*GF*IDF for the purpose. Finally, the performance of the proposal is evaluated using well-known document corpus.

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