Future University In Egypt (FUE)
Future University is one of most promising private universities in Egypt. Through excellence in teaching, research and service, Future University strives to provide a comprehensive, high-quality education that prepares our graduates to be future leaders.
Altagamoa Al Khames, Main centre of town, end of 90th Street
New Cairo


Basic information

Name : MohamedMahmoud
Title: Instructor/ Assistant Lecturer
Google Schoolar Link
Personal Info: Master degree in Information Systems Faculty of Computers and Information Cairo University, works as lecturer assistant in Information Systems department faculty of computers and information technology, Future university in Egypt View More...


Certificate Major University Year
Masters information Systems 2018
Bachelor 2012

Researches /Publications

A Statistical-Mining Techniques’ Collaboration for Minimizing Dimensionality in Ovarian Cancer Data

Mohamed Mahmoud Hasan Hamada



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F2F: Friend-To-Friend Semantic Path Recommendation

Mohamed Mahmoud Hasan Hamada

Hoda M. O. Mokhtar



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An activity based trajectory search approach

Mohamed Mahmoud Hasan Hamada

Hoda M. O. Mokhtar

With the gigantic increment in portable applications use and the spread of positioning and location-aware technologies that we are seeing today, new procedures and methodologies for location-based strategies are required. Location recommendation is one of the highly demanded location-aware applications uniquely with the wide accessibility of social network applications that are location-aware including Facebook check-ins, Foursquare, and others. In this paper, we aim to present a new methodology for location recommendation. The proposed approach coordinates customary spatial traits alongside other essential components including shortest distance, and user interests. We also present another idea namely, "activity trajectory" that represents trajectory that fulfills the set of activities that the user is intrigued to do. The approach dispatched acquaints the related distance value to select trajectory(ies) with minimum cost value (distance) and spatial-area to prune unneeded directions. The proposed calculation utilizes the idea of movement direction to prescribe most comparable N-trajectory(ies) that matches the client's required action design with least voyaging separation. To upgrade the execution of the proposed approach, parallel handling is applied through the employment of a MapReduce based approach. Experiments taking into account genuine information sets were built up and tested for assessing the proposed approach. The exhibited tests indicate how the proposed approach beets different strategies giving better precision and run time.

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