الموظفين

  • محمد شريف داوود

محمد شريف داوود

استاذ مشارك

مقر أبوظبي

التعليم

  • Ph.D. Computer Science, De Montfort University, UK
  • Master of Computer Science, University of Jordan, Jordan
  • BSc of Computer Information System, AL-Zaytoonah University, Jordan

الاهتمامات البحثية

.Wireless communications, Artificial Intelligence, and Secured Systems and Networks

المواد التدريسية

Introduction to Programming Languages ,Computer Networks, Operating Systems, User Interface, Web Programming , Ethical Hacking and  "Intrusion Analysis and Incident Management"

Senior IEEE Membership

 

أهداف التنمية المستدامة المرتبطة بالخبرات

في عام 2015 اتفقت الدول الأعضاء في الأمم المتحدة على 17 هدفًا للتنمية المستدامة لإنهاء الفقر، وحماية الكوكب، وضمان الرفاه للجميع.

تساهم خبرة هذه الشخصية في أهداف التنمية المستدامة التالية:

العضويات

 

Optimization of the Application Software in Biomechanics and Their Contribution to The Biological Field.

مايو 01, 2019

Mohammad Sh Daoud Yazeed Ghadi Hani Almimi

Biomechanics refers to study of movement within dynamic biological systems. Advancement of computer software technologies such as JAVA language leads to combine stimuli and signals by biological systems and utilize them for research purposes. The main aim of this research is to analyse various biomechanical software and advancements that have been made in the field of mechanical software. Secondary research analysis has been utilized within this research paper. A Number of computational software such as OpenSim and ABAQUS have been proven to be very beneficial in this aspect. Advancement in biomechanical software has led to better research in cancer and cytoskeletal studies. Thus, Biomechanical software enables us to study kinetics of body without invasive procedures and does not cause any hindrance to ethical issues.


A new splitting-based displacement prediction approach for location-based services

نوفمبر 21, 2011

Daoud M.; Ayesh A.; Hopgood A. & Al-Fayoumi

In location-based services (LBSs), the service is provided based on the users' locations through location determination and mobility realization. Several location prediction models have been proposed to enhance and increase the relevance of the information retrieved by users of mobile information systems, but none of them studied the relationship between accuracy rate of prediction and the performance of the model in terms of consuming resources and constraints of mobile devices. Most of the current location prediction research is focused on generalized location models, where the geographic extent is divided into regular-shape cells. These models are not suitable for certain LBSs where the objectives are to compute and present on-road services. One such technique is the Prediction Location Model (PLM), which deals with inner cell structure. The PLM technique suffers from memory usage and poor accuracy. The main goal of this paper is to propose a new path prediction technique for Location-Based Services. The new approach is competitive and more efficient compared to PLM regarding measurements such as accuracy rate of location prediction and memory usage.


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