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
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.
Factors Influencing the Acceptance of Smart Homes in Jordan(Accepted on Jun 2018)
Published in: International Journal of Electronic Marketing and Retailing
Jun 01, 2018
A survey on Location Based-Services over Cellular Network
Published in: 8th International Conference on Information Technology ICIT'2017 IEEE International
May 02, 2017
EMBEDDING BUS AND RING INTO HEX-CELL INTERCONNECTION NETWORK
Published in: International Journal of Computer Networks & Communications (IJCNC)
May 01, 2015
Dynamic Authentication Protocol for Mobile Networks Using Public-Key Cryptography
Published in: International Journal of Science and Research (IJSR)
Jan 01, 2015
Evaluating composite EC operations and their applicability to the on-the-fly and non-window multiplication methods
Published in: International Journal of Computer Applications
Nov 01, 2014
A New Routing Area Displacement Prediction for Location-Based Services based on an Enhanced Ant Colony
Published in: Conference on Systems, Man, and Cybernetics (SMC)
Oct 08, 2014
Location Prediction based on a Sector Snapshot for Location-Based Services
Published in: Journal of Network and Systems Management(JONS)
Apr 01, 2014
An Enhanced Ant Colony Optimization for Routing Area Mobility Prediction over Cellular Communications Network
Published in: the 5th International Conference on Agents and Artificial Intelligence (ICAART)
Jan 01, 2013
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
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.