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      Mr Ahmed Eissa

      BSc, BSc HONS, MSc Eng
      ROLE: Associate Lecturer in Computer Science
      SCHOOL: Science & Technology
      DEPARTMENT: Computer Science
      EMAIL: A.Eissa@mdx.ac.uk
      1. Biography &
        Qualifications
      2. Learning &
        Teaching Interests
      3. Research Outputs &
        Interests
      4. Funded Research &
        Knowledge Exchange Projects
      5. Engagement &
        Impact

      • Biography &
        Qualifications

        I am 18 years experienced software solutions engineer that worked in software solutions production, implementation and development. I have worked in many different business sectors, like Software Development, Health Care, Digital Marketing, Digital Signage, Insurance, Education, Charity, Web Development, Mobile Development and Consultancy Services. I successfully converted many companies from a paper-based system to a fully automated system. I have developed many software solutions for many business sectors on many different platforms: Desktop Applications, Mobile and Tablet Applications, Web Applications and Cloud Computing Applications. I am able to work alone and within a team effectively.

        Now I am now Associate Lecturer at Middlesex University - Department of Communication and Computer Engineering, and a PhD candidate.

         

        My Qualifications:

        • B.Sc. (Hons) in Computer Science.
        • M.Sc. in Software Engineering.

         

        Programming Languages:

        Microsoft .NET (VB, C#), Java, R, Python, C++, VB6, VBA, MS SQL Server (MS SSMS, MS SSIS, MS SSRS), MySQL, PHP, and Matlab


        Languages Spoken

         English, Arabic

      • Learning &
        Teaching Interests

        + Software Engineering

        + Mobile Application Development

        + Natural Language Processing

        + Text Mining

        + IoT

        + Cloud Computing

      • Research Outputs &
        Interests

        • Eissa, Ahmed and Cheng, Xiaochun and Petridis, Miltos (2018) Crime pattern recognition based on high-performance computing. In: Next Generation Community Policing Conference, 25-27 Oct 2017, Heraklion, Crete, Greece.
        • Eissa, Ahmed and Cheng, Xiaochun and Alfelaiw, Abdulaziz Saud (2016) Applying natural language processing-based text mining for crime intelligence analysis. Advances in Information Sciences and Service Sciences . ISSN 1976-3700 (Accepted/In press)
        • San Diego, J., Barrett, I., Hatzipanagos, S., Khan, E., Webb, M., Konstantinidis, A., Dore, T., Fotaris, P., & Eissa, A. (2013). Analysing online learning and teaching: The development of the KEATS Analytics Engine. Proceedings of the 7th Annual Excellence in Teaching Conference, King’s Learning Institute, 18 June 2013, King’s College London, London, UK.

        Publication Feed

        Crime pattern recognition based on high-performance computing

        Eissa, Ahmed and Cheng, Xiaochun and Petridis, Miltos (2018) Crime pattern recognition based on high-performance computing. In: 2017 International Conference Next Generation Community Policing, 25-27 Oct 2017, Heraklion, Crete, Greece.

        240625

      • Funded Research &
        Knowledge Exchange Projects

      • Engagement &
        Impact

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