The Faculty of Computers and Information Technology consists of three departments: Computer Science, Information Technology and Information Systems. Within these departments, students study specific disciplines such as: database design and implementation, software development, system analysis and design, software engineering and networking. FUE adapts to the rapidly changing technological world by continually developing and updating its educational programs. We realize that to be effective we must improve the awareness, understanding, development, and successful utilization of information technologies and systems. The faculty examines theoretical and experimental design components of computers and computation. FUE’s undergraduate degree provides the student with essential skills and theoretical grounding in computer technology. The student’s study includes the latest software technologies including java, web techniques, web programming, and e-commerce. Our students benefit from an outstanding academic staff and an exceptional.

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Recent Submissions

  • Classification using deep learning neural networks for brain tumors 

    Mohsen, Heba; El-Dahshan, El-Sayed A.; El-Horbaty, El-Sayed M.; Salem, Abdel-Badeeh M. (ScienceDirect, Future Computing and Informatics Journal, 2017-12-24)
    Deep Learning is a new machine learning field that gained a lot of interest over the past few years. It was widely applied to several applications and proven to be a powerful machine learning tool for many of the complex ...
  • Smart Home System 

    Mohamed, Mohamed Mohsen; Fahmy, Aida Ibrahim (Future University in Egypt, Faculty of Computer and Information Technology, 2019)
    Nowadays smart homes are becoming a trend because they offer comfortability, quality of life and most importantly they consume less electricity thus turning people’s life easier and more efficient. Most of the Egyptian ...
  • (Quality Assurance Management System) QAMS 

    Magdy Kotb, Hossam; Khaled Abd-Elkader, Mohamed; Hesham Shoukry, Mohamed; Mohamed Nasser, Mostafa; Sobhy Mohamed, Youssef (2019)
    It has been a great opportunity to gain lots of experience in real time project followed by knowledge of how to design and analysis real project for that we want to thank all people who made it possible for students ...
  • Eat & Repeat 

    Mohamed, Merna; Ashraf, Hana; Kamal, Ali; Mohamed, Mostafa; Abdelhakim, Tarek; Mohamed, Yasser (2019)
    Eat & Repeat(online Food ordering system) is a part of e-commerce. E-commerce or business through net means distributing, buying, selling, marketing, and servicing of products over internet. Thus if we own a restaurant we ...
  • Safe driving systems (SDS) 

    El-Din Sobhy, Alaa; Abdelrahman, Mahmoud; Emad, Farouq; Atef, Ahmed; Eissa, Mohammed (2019)
    Considering the increasing number of traffic accidents in recent years, it is being accepted that the increasing number of traffic accidents throughout the years is a serious problem, One of the major cause of accidents ...
  • Local Entropy and Standard Deviation for Facial Expressions Recognition in Thermal Imaging 

    I. Ghali, Neveen; Salah El-Sayed, Rania; M. Elbarawy, Yomna (Bulletin of Electrical Engineering and Informatics, 2018-12)
    Emotional reactions are the best way to express human attitude and thermal imaging mainly used to utilize detection of temperature variations as in detecting spatial and temporal variation in the water status of ...
  • Digital Verification System 

    Fathy, Ahmed Khaled; Hussein, Ahmed Mohamed; Abdelazem, Ahmed Shawky; Abdelsabour, Adel Abdelhakeem; Abo Bakr, Abdel Rahman (future university, 2019)
    Hand signature is that the signature can be fake and can be stolen by unauthorized person, so there must be a strong security system. Security System involves the authorization of access to ...
  • GOVERNMENTAL BUS TRACKING APPLICATION 

    Magdy, Ibtehal; Magdy, Mirna; Abd El Aziz, Dina; El Moneim, Zenab Abd (Future University in Egypt Faculty of Computers and Information Technology Department of Computer Science, 2019)
    Our idea came to light when we noticed in our community that many people face problems with government buses from different faces. Especially in the arrival time and locations. When we thought about solving that problem, ...
  • Object Detection Image Processing System (ODIPS) 

    Mohamed, Ahmed; Refaat, Abdullah (future university, 2019)
    Robot technology continues to advance robots are becoming capable of performing ever more complex tasks. Security in the past depends on humans and dogs this wasn’t given high efficiency in protection. Humans embarks to ...
  • Voice Assistant Application 

    Hussein, Amr Ahmed; El-Sayed, Amr Mohamed; Ali, Yusuf Ayman (future university, 2019)
    DAVID is an intelligent virtual voice assistant and knowledge navigator powered by artificial intelligence which works as an application for linux operating system. The application will make the operating ...
  • Design and implementation of areal time multimodal biometric identification and authentication systems 

    farouk, Aya hisham; Fouad, fatma gaafar; ahmed, hady abdlrahman; adbelaziz lashin, nadien (future university, 2019)
    Confidentiality is very important for every organization. Now days, Biometric technologies became a foundation for identification and personal verification. Biometric refers to technologies that measure and analyze the ...
  • Optimal Community Detection Approach based on Ant Lion Optimization 

    Babers, Ramadan; Ghali, Neveen I.; Hassanien, Aboul Ella; Madbouly, Naglaa M. (IEEE, 2015)
    -One of the important issue in Online Social Net­ works (OSNs) in recent years is communities detection in such networks. Social Networks depict the interactions between individuals or entities ...
  • Local Entropy and Standard Deviation for Facial Expressions Recognition in Thermal Imaging 

    Elbarawy, Yomna M.; El-Sayed, Rania Salah; Ghali, Neveen I. (Bulletin of Electrical Engineering and Informatics, 2018-12)
    Emotional reactions are the best way to express human attitude and thermal imaging mainly used to utilize detection of temperature variations as in detecting spatial and temporal variation in the water status of ...
  • Link Prediction in Social Networks based on Spectral Clustering using k-medoids and Landmark 

    Mahmoud, Asmaa M.; El Bakrawy, Lamiaa M.; Ghali, Neveen I. (International Journal of Computer Applications, 2017-07)
    Social networks have become popular because they provide many services and advantages to its users like helping them to con- nect with new people, share content and share opinions with like- minded people. To conclude which ...
  • Level Set-based CT Liver Image Segmentation with Watershed and Arti cial Neural Networks 

    Mostafa, Abdalla; Ghali, Neveen I.; Hassanien, Aboul Ella; Hefny, Hesham (Scienti c Research Group in Egypt, 2012-12)
    Abstract|The objective of this paper is to evaluate a new combined approach intended for reliable CT liver image seg- mentation, to separate the liver from other organs, and seg- ment the liver into a set of regions of ...
  • Dynamic AI-Geo Health Application based on BIGIS-DSS Approach 

    E. Khedr, Ayman; Sultan, Torky; Nasr, Mona; Abdo, Randa (IOSR Journal of Computer Engineering (IOSR-JCE) Volume 13, Issue 3, 2013-08)
    Public health organizations use GIS on a daily basis for input, storage, manipulation, and output of geographic information which provides a powerful tool for public health assessment and monitoring in remote locations and ...
  • Level Set-based CT Liver Computer Aided Diagnosis System 

    Zidan, Abdalla; Ghali, Neveen I.; Hassanien, Aboul Ella; Hefny, Hesham; Hemanth, Jude (International Journal of Imaging and Robotics, 2012-05-13)
    All CT Liver Computer Aided Diagnosis (CAD) system have an objective of giving a hand to radiologist to aid in detecting the lesions. The objective of this paper is to evaluate a new combined approach intended for reliable ...
  • Development And Evaluation Of A Defect Tracking Model For Classifying The Inserted Defect Data 

    E Khedr, Ayman; Sayed, Mostafa (European Scientific Journal vol.9, No.12, 2013-04)
    Defect tracking systems play an important role in the software development organizations as they can store historical information about defects. There are many research in defect tracking models and systems to enhance their ...
  • Intelligent Machine Learning in Image Authentication 

    El Bakrawy, Lamiaa M.; Ghali, Neveen I.; Hassanien, Aboul ella (J Sign Process Syst, 2015-08-16)
    Image authentication techniques have recently gained great attention due to its importance for a large number of multimedia applications. Digital images are increasingly transmitted over non-secure channels such as the ...
  • Improving Social Network Community Detection Using DBSCAN Algorithm 

    ElBarawy, Yomna M.; Mohamed, Ramadan F.; Ghali, Neveen I. (IEEE, 2014)
    Social networks depict the interactions between individuals or entities and are represented by a graph of intercon­ nected nodes. The study of such graphs leads to understanding of this data and concluding ...

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