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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Start date: 2023

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Now showing 1 - 10 of 30
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    Assessing Awareness Level of Agricultural Extension Agents Regarding Impacts of Climate Change on Agriculture Sector and Coping Strategies
    (ResearchersLinks Ltd, 2025-01-20) Adnan Ibrahim Khamis; Jasim Mohammed Saleh; Najwa S. Ali; and Anhar Mohamed Ali Hasan
    This study was aimed at identifying the awareness level of the agricultural extension staff in the Agricultural Extension, Department of Training and its affiliated training centers in Baghdad Governorate, regarding climate change and its effects on the agricultural sector and identifying the mechanisms and procedures adopted by the agricultural extension regarding these risks. These procedures included five topics (administrative and technical, irrigation water, crops, agricultural land, and environment). Researchers included agricultural adviser staff in the Department of Agricultural Extension and its affiliated training centers so that the number of targeted staff was reached (161). The questionnaire used to collect data was adopted, it included two fields, The first included (20) statements to identify the level of awareness of agricultural extension staff for the risks of climate change on the agricultural sector, while the second field included (50) statements representing mechanisms and procedures adopted by agricultural extension in facing these risks. A statistical analysis program (SPSS) was used to process the research data. So this study showed that most agricultural extension staff have a high level of awareness regarding climate change and its impact on the agricultural sector especially in administrative and technical issues related to crops and irrigation water conservation, also there are no joint units and committees for emergency management and risks resulting from the consequences of climate change, lack of cooperation and coordination with local and international efforts in exchanging climate information and significant weakness in the application of laws and legislation that would hold parties that contribute to accountability and deterioration of the agricultural environment. The study recommends activating the role of agricultural extension due to the phenomenon of climate change in the agricultural sector.
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    A PROPOSED VISION FOR DEVELOPING AGRICULTURAL EXTENSION CENTERS IN CENTRAL IRAQ
    (Society for the Advancement of Breeding Researches in Asia and Oceania (SABRAO), 2024-06-05) A.I. KHAMIS; N.S. ALI; J.M. SALEH
    The research aimed to prepare a theoretical vision, including a set of proposed standards for developing work in Agricultural Extension Centers in the Central Governorates (Baghdad, Diyala, Babylon, Al-anbar, and Salah al-Din), within seven important guiding areas. Using the descriptive approach to conduct this study, the sample community included all agricultural extension workers working in research centers of central Iraq governorates, totaling 95 respondents. The two-part questionnaire served as a tool for collecting data from the respondents. The first part represented opinions of agricultural extension agents about the extent of application and adoption of suggested standards in the work of agricultural extension centers. Meanwhile, the second part included the respondents’ opinions about the degree of their approval of the proposal to develop the extension centers. The study concluded a large proportion of the respondents believe a weakness existed in the level of application of the recommended standards in the operation of the agricultural extension centers. It is evident in not adopting the principle of decentralization when formulating the goals of the extension centers.
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    Thermal Performance of Ferrocement Slabs Reinforced with Recycled PET Fibers
    (Springer Nature, 2025-04-05) Nahla Hilal; Abdulkader I. Al-Hadithi; Jamal A. Khalaf; Farah A. Al-Fahdawi; Zouaoui R. Harrat; Taher A. Tawfik
    This study aimed to identify the optimal ratio of polyethylene terephthalate (PET) fibers to enhance the structural performance of ferrocement slabs, particularly under varying high-temperature conditions. The research examines the effects of PET fibers on the hardened properties of ferrocement mortar, as well as how both PET fibers and elevated temperatures (25 °C, 100 °C, 200 °C, 400 °C, and 600 °C) influence the impact and mechanical behavior of the material. To achieve this, four volumetric proportions of PET fibers (0%, 0.5%, 0.75%, and 1%) were first used to identify the optimum PET content, which was found to be 0.75%. The impact and mechanical behavior of ferrocement slabs were then investigated using the optimized mix. To evaluate the impact behavior, a total of 25 two-way slabs of 500 mm × 500 mm × 50 mm were prepared and tested. The parameters were (a) fiber content (0% and 0.75%), (b) layers of steel wire mesh reinforcement (0, 2, and 4 layers), and (c) elevated temperatures (25 °C, 100 °C, 200 °C, 400 °C, and 600 °C). These were organized to have five different slab configurations: zero reinforcement layer (0L) and zero fiber (0F) (0L-0F); 2L-0F, 4L-0F, 2L-0.75F, and 4L-0.75F. Each of these slabs was tested under the five selected elevated temperatures, making the 25 specimens needed. The same parameters were repeated to evaluate the flexural behavior of ferrocement slabs using 25 one-way slabs with dimensions of 1200 mm × 150 mm × 50 mm. The results indicated that PET fibers decreased density and ultrasonic pulse velocity while increasing water absorption. At a PET fiber content of 0.75%, the compressive and flexural strengths increased by 17.85% and 5.79%, respectively, after 28 days. Strength loss was minimal up to 200 °C, but significant reductions were observed beyond 400 °C. The optimal performance was found in slabs with 0.75% PET and two layers of reinforcement at 200 °C, displaying improved flexural strength, toughness, and ductility. At 600 °C, the breakdown of the plastic fibers resulted in a substantial performance decline. Overall, the findings show that PET fibers enhance ferrocement performance up to 400 °C but experience degradation at higher temperatures.
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    Possibility of Adding Biomedical Waste Plastic as Asphalt Performance Improvers
    (AIP Conf. Proc. 3303, 040006, 2025-03-31) Nahla Naji Hilal; Khalid Awadh Mohammed; Sattar A. Mutlag; Alaa Dahamm Mamdooh
    There are many types of human waste, including biomedical waste plastic, which is infectious and toxic, and its disposal is one of the main problems facing developing countries. In the process, countries must establish an extensive network of roads to maintain a stable economic and social environment. Research has shown that bitumen limitations necessitate careful consideration when building highways and transportation networks for development. It is possible to use biomedical plastic waste in road construction, reducing its environmental impact. It is considered economical and capable of improving the performance and characteristics of paved roads. The research aims to investigate the impact of biomedical waste plastic on the rheological characterization of bitumen, utilizing safer insulin syringes after treatment. Using mixing techniques, we prepared the modified bitumen from the waste. We added it gradually after heating the asphalt and waste. Researchers found that adding it could improve the bitumen's rheological properties, like its low penetration, flash point, fire point, and ductility, while still meeting the requirements for asphalt and having a high softening point and viscosity. In general, the results showed that increasing the content of biomedical waste as a percentage of the weight of bitumen improves the rheological properties of bitumen and paving performance. This also reduces the effect of cracking and improves the susceptibility temperature of asphalt. The results also demonstrated a 9.75% material cost reduction. This approach not only allows for the prudent disposal of hazardous biomedical plastic waste, but also reduces construction costs by saving some bitumen, making this type of asphalt more suitable for use in hot areas.
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    The influence of waste polypropylene fibers on the behavior of sustainable reinforced concrete beams
    (John Wiley & Sons, 2025-02-04) Nahla Hilal; Sulaiman Nayef Ahmed; Ayad S. Aadi; Mohammed Nawar; Salih Taner Yildirim; Nadhim Hamah Sor
    Plastic waste has recently become one of the most important environmental issues. Plastic fibers in concrete provide a long-term solution to plastic waste management. Concrete is a rigid material and has superior compressive strength but has poor tensile strength. Using waste plastic fibers in concrete can address its brittleness and low tensile strength. In this study, waste polypropylene fiber (WPF) prepared from discarded plastic tapes in reinforced concrete (RC) beams was used. WPF of 5 mm width was added to the concrete at a volumetric percentage of 1%. The fibers were added at different lengths (50, 70, and 90 mm) individually, and then all lengths were mixed randomly. This study provides the results of laboratory tests conducted to evaluate the mechanical properties of the WPF-RC. Additionally, a comparison of RC beams with the same percentage of reinforcement but varying lengths of WPF in the tensile zone was provided. The criteria for the flexural test were determining the ultimate load, the yield, and the first cracking as well as the deflections associated with these loads. Evaluations of the energy absorption index, ductility, and failure modes were also carried out. The WPF enhanced the ultimate load by 5%, the deflection at the ultimate load by 33.26%, and the splitting tensile strength by 51.47% for the concrete. Additionally, the load– deflection relationships demonstrated that concrete beams reinforced with WPF tend to deflect more before failing. The energy absorption index capacity is increased by 94.36% and ductility by 25.83% for the beam reinforced with 1% WPF, mixed randomly at mixing randomly lengths. This possible enhancement of RC beam performance based on the WPF can promote the use of sustainable concrete in many structural applications based on the WPF.
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    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.
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    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.
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    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.
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    Compared Efect of Nano Date Pits and Nano Sunfower Seed Shells on Properties of Green Cement Mortar
    (Springer Nature, 2025-01-14) Nahla Hilal; Ahmed A. Alani; Meyyada Y. Alabdulhady; · Zouaoui R. Harrat; · Faisal G. AL‐Maqate
    Agricultural waste, generated in massive quantities each year, poses environmental challenges and ofers an opportunity to enhance eco-friendly practices in construction. The current study aimed to address the concerns of minimizing agricultural waste and reducing the environmental impact associated with traditional cement production, including shortage in resources and carbon emissions. Thus, the feasibility of incorporating nano date pits and nano sunfower seed shells as sustainable additive materials in cement mortar were investigated. Three diferent nanomaterials content were used: (1, 3, and 5%), these nano additives were added into mortar mixtures to assess their infuence on fresh and hardened characteristics, as well as on the microstructure. Fresh density and fowability were used as a measure to evaluate workability, while hardened properties such as density and compressive strength were utilized to evaluate the structural integrity. Microstructural analyses were also conducted through scanning electron microscopy (SEM) and X-ray difraction (XRD). The experimental results revealed that nano sunfower seed shells decreased fowability by 8–42%, while nano date pits had a lower impact, with reductions from 4 to 25%. Fresh density decreased with the increasing of nanomaterial content, particularly with the sunfower seed shells due to their lighter weight and higher porosity. For hardened characteristics, dry density dropped by approximately 20% in sunfower seed shell mixtures, while date pit mixtures density was reduced gradually, supporting the development of lightweight mortars. Furthermore, the mixture with 1% nano date pits has enhanced compressive strength by up to 22% at 28 days, attributed to the pozzolanic activity of nano date pits that refned the microstructure. SEM and XRD analyses revealed considerable interactions between the nano additives and the cement matrix. Furthermore, these analyses showed dense hydration products and enhanced contact zones between cement and aggregates, promoting structural integrity. The current study fndings assure the potential of nano agricultural waste materials to improve sustainable mortar formulations, ofering lightweight, durable, and eco-friendly alternatives to traditional cement-based mortars.
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    Analyzing the Effectiveness of Machine Learning Techniques in Detecting Attacks in a Big Data Environment
    (American Scientific Publishing Group (ASPG), 2025-01) Omar Dhafer Madeeh; Osamah M. Abduljabbar; Huda Mohammed Lateef
    Protecting big data has become an extremely vital necessity in the context of cybersecurity, given the significant impact that this data has on institutions and clients. The importance of this type of data is highlighted as a basis for decision-making processes and policy guidance. Therefore, attacks on this data can lead to serious losses through illicit access, resulting in a loss of integrity, reliability, confidentiality, and availability of this data. The second problem in this context arises from the necessity of reducing the attack detection period and its vital importance in classifying malicious and non-harmful patterns. Structured Query Language Injection Attack (SQLIA) is among the common attacks targeting data, which is the focus of interest in the proposed model. The aim of this research revolves around developing an approach aimed at detecting and distinguishing patterns of loads sent by the user. The proposed method is based on training a model using random forest technology, which is considered one of the machine learning (ML) techniques while taking advantage of the Spark ML library that interacts effectively with big data frameworks. This is accompanied by a comprehensive analysis of the effectiveness of ML techniques in monitoring and detecting SQLIA. The study was conducted using the SQL dataset available on the Kaggle platform and showed promising results as the proposed method achieved an accuracy of 98.12%. While the proposed approach takes 0.046 seconds to determine the SQL type. It is concluded from these results that using the Spark ML library based on ML techniques contributes to achieving higher accuracy and requires less time to identify the class of request sent due to its ability to be distributed in memory.