0- University of Fallujah Headquarter

Permanent URI for this communityhttps://ds.uofallujah.edu.iq/handle/123456789/46

University of Fallujah Headquarters

Welcome to the University of Fallujah Headquarters

The headquarters of the University of Fallujah is the central hub for the administrative, academic, and operational functions of the university. It oversees various departments, centers, and divisions that support the university's mission to deliver high-quality education, promote research, and serve the community.

Key departments, centers, and divisions at the headquarters include:

  • Department of Administration and Finance
  • Department of Academic Affairs
  • Department of Research and Development
  • Computer and Information Technology Center
  • Department of Quality Assurance and Accreditation
  • Library and Information Services
  • Public Relations and Media Division

Each department plays a vital role in ensuring the smooth operation and growth of the university. From supporting academic programs to managing resources, the headquarters is committed to fostering an environment of excellence and innovation.

News

Latest News

University Hosts Annual Research Conference

March 2025

The University of Fallujah recently hosted its annual research conference, bringing together scholars, students, and industry experts to discuss the latest developments in science and technology.

New Digital Repository Launched

November 15, 2024

We are excited to announce the launch of the Digital Repository, providing open access to the university's academic and research materials for global audiences.

New University of Fallujah System Released

November 15, 2024

The University of Fallujah has launched a new system to enhance administrative processes and improve student services. This system aims to streamline academic records, facilitate communication, and provide a user-friendly platform for students, faculty, and staff.

Stay up-to-date with more news:

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Search Results

Now showing 1 - 3 of 3
  • Item
    The modified predator–prey model response to the effects of global warming, wind flow, fear, and hunting cooperation
    (Springer Nature, 2024-11-11) Ashraf Adnan Thirthar; Shireen Jawad; Muhammad Aqib Abbasi
    Global warming has a serious impact on the survival of organisms. Very few studies have considered the effect of global warming as a mathematical model. The effect of global warming on the carrying capacity of prey and predators has not been studied before. In this article, an ecological model describing the relationship between prey and predator and the effect of global warming on the carrying capacity of prey was studied. Moreover, the wind speed was considered an influencing factor in the predation process after developing the function that describes it. From a biological perspective, the nonnegativity and uniform bounded of all solutions for the model are proven. The existence of equilibria for the model and its local stability is investigated. The proof that the model has no periodic solution is studied, and the backward Hopf bifurcation analysis of the positive equilibrium point. Through numerical results, we can analyze the impact of periodic and chaotic nature on the species population. Furthermore, to confirm the complex dynamics like bifurcation and oscillation the numerical simulation plays an important role. Furthermore, this also helps us to visualize the dynamic results of the model. Here, we also present different numerical outcomes in terms of other parameters.
  • Item
    Design an efficient neural network for solving steady state problems
    (Elsevier, 2024-09) Ashraf Adnan Thirthar; Luma N. M. Tawfiq; Kamal Shah; Thabet Abdeljawad
    In this article, the mathematical model of steady state problems based on horizontal radial flow in homogenous confined aquifers has been presented. Then we design efficient neural network (ANN) to solve the equation in polar coordinates. A reliable unconstrained optimization method has been used as training algorithm to get high accuracy results. The results illustrated by contour maps. The new effective Levenberg-Marquardt method (NLM) has been implemented to solve the problem. A comparison between the training, testing and validation results has been presented. The weight of the ANN will be chosen such that satisfied local minimizer. Furthermore, the quadratic convergence of NLM has been proved. The results reveal that the suggested design is effective, time saver, and applicable for solving steady state problems.
  • Item
    Effects of predator cooperation in hunting and prey fear in a generalist predator–prey model that includes global warming phenomena
    (Springer Nature, 2024-11-26) Ashraf Adnan Thirthar; Bipin Kumar; Sushil Kumar Verma
    Emissions of greenhouse gases from humanactivities are the cause of global warming. Some of the repercussions include habitat loss, altered competitive relationships, and temperature and ecosystem changes that are too large for migration. According to this study, the carrying capacity is affected by global warming. Furthermore, by developing a predation function that accounts for the effects of hunting cooperation and global warming, its influence on predation has been examined. The interaction between prey, predators, and global warming is described by a system of ordinary differential equations that includes the components listed above. During our investigation, we examine the existence and stability of equilibrium points, which reveals the model’s dynamic behaviors. Our model shows a range of bifurcations, including Hopf, transcritical, and saddle-node bifurcations, which mark critical shifts in system dynamics. To confirm these bifurcations, we derive and verify transversality conditions. Additionally, we construct one- and two-parameter bifurcation diagrams to visualize stability changes across the parameter space, identifying regions with distinct steady states and dynamic behaviors. Notably, our model also exhibits switching behavior, where shifts in parameters lead to transitions between different dynamic states, highlighting the complexity and richness of prey-predator interactions.