Mohammad Obaidul Haque

Work place: Samsung R&D Institute Bangladesh, Dhaka, 1205, Bangladesh



Research Interests: Computational Science and Engineering, Software Engineering, Data Mining, Data Structures and Algorithms


Mohammad Obaidul Haque received MSc from University of Trento in 2009. He worked as research intern in SOA Group, Fondazione Bruno Kessler, Italy from 2010 to 2011 on mobile service computing. Afterwards he joined in Samsung Bangladesh R&D Institute in 2012 and now he is leading to develop apps for mobile media content sharing in UPnP based home network environment and enforcing policy aware service composition on Android and iOS platform. He has successfully managed and delivered 4+ R&D and commercial projects in Samsung and University of Trento. His research interest is Data Mining, Data Analytics, Software Engineering, Cloud Computing, and Database & Knowledge-Base System.

Author Articles
Computer Vision based Automation System for Detecting Objects

By Rajibul Anam Mostafizur Rahman Mohammad Obaidul Haque Md. Syeful Islam

DOI:, Pub. Date: 8 Nov. 2015

Software Quality Assurance Testing time computer vision based automation tools are used to test the window based application and window based application is combined of many objects. Among them most of the automation tool detect window objects by comparing images. Most of the objects are visible in the window screen but some objects which are not visible to the screen at the first time. Proper interaction with the window application hidden objects get visible to the screen like dropdown list item, editor text object, list box item and slider. With the automation tools these hidden objects cannot be searched directly. In this paper proposes some methods which will enhance the automation tools to access the window application hidden objects.

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