Md. Masuduzzaman

Work place: Dept. of Computer Science and Engineering, American International University–Bangladesh, Dhaka- 1213,Bangladesh

E-mail: masud.prince@aiub.edu

Website: https://www.linkedin.com/in/masud-prince/

Research Interests: Computer Architecture and Organization, Network Architecture, Network Security

Biography

Md. Masuduzzaman is a citizen of Bangladesh and currently working as a lecturer in the dept. of Computer Science at American International University-Bangladesh (AIUB). He has received his Masters degree specialized in Computer Networks and Architecture in 2015 and received his Bachelors degree in Computer Science and Engineering in 2013 from American International University-Bangladesh (AIUB). His areas of interest includes Computer netwoks and architecture, Information and Network Security,Cloud Computing and Internet of Things (IoT). He is also involved in some different sports sector and voluntary work in his country.

Author Articles
Intelligent Tour Planning System using Crowd Sourced Data

By Md. Saef Ullah Miah Md. Masuduzzaman Williyam Sarkar H M Mohidul Islam Faisal Porag Sajjad Hossain

DOI: https://doi.org/10.5815/ijeme.2018.01.03, Pub. Date: 8 Jan. 2018

To observe the beauty of nature and to visit various places around the world, a vast number of tourists visit different countries and many tourist attraction sites now-a-days. But Most of the tourist places have failed to introduce itself as a tourist destination to the visitor due to lack of proper information and proper guideline to visit there. This paper tries to focus on some problems in the tourism industry and try to solve those problems using crowd sourced data with some customized algorithms. Some of the main problems are the lack of information about a destination tourist spot, combination on budget to visit the spot, time of travels etc. We proposed a customize algorithm which will provide maximum suggestion to visit a place with nearest all sub place based on user destination within their given budget and time. Using our method, user can choose the most suitable plan for them to visit those places.

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