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Department of Computer Science
 
Graduation Projects 2016 - 2017

Spring Term 2017


  • ONYX Microservices (sponsored by Murex):

  • Description:This project aims at implementing a prototype to transform the monolithic architecture of Murex’s environment management tool into a microservices architecture.
    Team: Jad Mokdad, Ibrahim Shaer, Bachir Masry, Alaa Eid
    Advisor: Profs. Ahmad Dhaini and Mohammad Jaber
    Poster | Video 

  • Tourist Go:​

  • Description: TouristGo is a mobile app that enables users (tourists of cities and places) to be guided to the “best- view” locations for taking pictures in a city or area.
    Team: Fawzi Chwayfaty, Sirine Baba, Mohammad Al Houssein
    Advisor: Profs. Ahmad Dhaini
    Poster| Video

  • eLaser:

  • Co-recipient of the Murex Most Innovative Project - $3000
    Description:This project aims at solving the problem that most speakers and lecturers face: using laser pointer at a screen without turning their faces against the audience.
    Team: Jamal Saleh, Bassel Esmail, Mark El Khuri
    Advisor: Profs. Ahmad Dhaini
    Poster | Video 

  • myOCT:

  • Description: This project aims at implementing the software for manipulating optical coherence tomography (OCT) images to be used by ophthalmologists (eye surgeons) at AUBMC.
    Team: Ahmad Sibai
    Advisor: Profs. Ahmad Dhaini
    Poster | Video 

  • PostIT:

  • Description: PostIt is a mobile app that allows users to share posts (text, images, videos, etc.) with people close by.
    Team: Rami Bassil, Marc Abi Hanna, Sally Abdallah
    ​Advisor: Prof. Shady Elbassuoni
    Poster

  • ImgSearch:

  • Description: ImgSearch is a mobile app that allows users to search their image galleries.
    Team: Rami Bassil, Marc Abi Hanna, Sally Abdallah
    Advisor: Prof. Shady Elbassuoni
    Poster

  • CrowdCode:

  • Description: In CrowdCode, the goal is to allow software project implementation through crowdsourcing.
    Team: Alaa El Hariri, Elissa Mkanna, Raphaelle Maria
    ​Advisor: Prof. Shady Elbassuoni
    Poster

  • Malware Analysis-Modeling Malware as a Language:

  • Description: This project, aims to leverage the recent advances in neural network theory in order to support the analysis of malware.
    Team: Yara Awad, Sleiman Sleiman, and Hassan Kocheiche
    ​Advisor: Prof. Haidar Safa
    Poster

  • Malware Families Visualization:

  • Description: This project, aims to find the best 2D or 3D embedding technique for depicting malware clusters and features.
    Team: Musbah Sinno, Mohamad Ali Chahine, and Mark Abou Jawdeh
    ​Advisor: Prof. Haidar Safa and prof. Mohammad Nassar
    Poster

  • Sparkly- Feature Extraction Using Spark:

  • Description: This project, implements a Spark-based feature extraction and string embedding tool.
    Team:Mohamad El Bohsaly, Omar El Kadi, and Patrick Hatem
    ​Advisor: Prof. Haidar Safa
    Poster

  • Lebanese Power Grid Analysis:

  • Description: This project tends to explore the strength of the Lebanese Power Grid in sustaining failures using Contingency analysis.
    Team:Omar Mehio
    ​Advisor: Prof. Fatima Abou Salem
    Poster

  • Refugee Community Data Analysis:

  • Description: This project,aims to reduce the gap between producers of data and users of technology, and encourage evidence-based strategies for the refugee crisis management.
    Team:Michael Abou Nabhan, Kassim Antar, Hussein Hassoun
    ​Advisor: Prof. Fatima Abou Salem
    Poster


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