Staff

  • Mohammad Sh. Daoud, Ph.D

Mohammad Sh. Daoud, Ph.D

ِِِِAssociate Professor

Abu Dhabi Campus

Education

  • 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

Research Interests

 Artificial Intelligence, and Secured Systems and Networks.

Selected Publications

 

 

 

 

 

 

 

 

 

 

Teaching Courses

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

Senior IEEE Membership

 

Expertise related to UN Sustainable Development Goals

In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all.

This person’s work contributes towards the following SDG(s):

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

Published in: Journal of Engineering Science & Technology Review

May 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

Published in: 2011 IEEE International Conference on Systems, Man, and Cybernetics (SMC)

Nov 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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