Ali Hasan Ali

@uobasrah.edu.iq

Department of Mathematics
University of Basrah



                                         

https://researchid.co/aliaha

RESEARCH, TEACHING, or OTHER INTERESTS

Mathematics, Applied Mathematics, Analysis, Computational Mathematics

99

Scopus Publications

997

Scholar Citations

18

Scholar h-index

35

Scholar i10-index

Scopus Publications


  • On metric dimension of symmetrical planer pyramid related graphs
    Saqib Nazeer, Muhammad Hussain, Atiq ur Rehman, and Ali Hasan Ali
    Springer Science and Business Media LLC
    Abstract Robotics and networking have transformed the world in numerous ways. Nowadays, computer networks play a vital role not only in business, education, and medical treatments, but also in entertainment. Graph theory has wide-ranging applications in robotics, tricky games, computer networking, map formations, image processing, Loran or Sonar models, pattern recognition, artificial intelligence, medical networks (such as oxygen or other treatment wiring), navigation problems, electrical networks, and more. Metric dimension has left its mark on artificial intelligence, map navigation, image recognition, pattern formation, facility location problems, and resource management (cost, time, labor, and resources). Robots are used in almost every field of life, including saving lives in the medical field, and metric dimension plays a crucial role in ensuring their accuracy. In this recent work, we enhance the concept of reflection of graphs and introduce new graphs, which we have called horizontal reflection graphs. We also compute the metric dimension of $$h-Vrl(mid(Tower_{p}))$$ h - V r l ( m i d ( T o w e r p ) ) and h-Vrl(Middle tower Path Graph) and found it to be constant.

  • Fractional analysis for heat consumption of CuO-based hybrid nanofluid via integral transform
    Firas Ghanim, Ali Hasan Ali, Ghassan Ezzulddin Arif, and Ali Raza
    Elsevier BV


  • Optimal control strategies for taming TikTok addiction: a mathematical model and analysis
    Fareeha Sami Khan, M. Khalid, Ali Hasan Ali, and F. Ghanim
    Springer Science and Business Media LLC
    Abstract Optimal control theory is an extension of the calculus of variations. It is a mathematical optimization method for deriving control strategies for a dynamic system. In this paper, the system of differential equations for which we aim to utilize control theory is TikTok, which is one of the most attractive internet platforms. TikTok has garnered immense popularity, surpassing other social media platforms. However, its addictive nature has raised concerns about mental health, including depression, eating disorders, anxiety, self-obsession, and narcissistic personality disorder among its users. This paper introduces a mathematical model for TikTok, considering the usage of this app as an epidemic. The model is rigorously validated through stability analysis of both local and global equilibrium. Moreover, disease-free and non-trivial equilibrium scenarios are discussed by calculating their reproduction numbers. This study aims to raise awareness of TikTok’s potential misuse and explore control theory solutions to mitigate addiction. Additionally, statistical data is used to visualize the numerical results and analyze the impact of control parameters on the TikTok model.

  • Design of Morlet Wavelet Neural Networks for Solving the Nonlinear Van der Pol–Mathieu–Duffing Oscillator Model
    Ali Hasan Ali, Muhammad Amir, Jamshaid Ul Rahman, Ali Raza, and Ghassan Ezzulddin Arif
    MDPI AG
    The motivation behind this study is to simplify the complex mathematical formulations and reduce the time-consuming processes involved in traditional numerical methods for solving differential equations. This study develops a computational intelligence approach with a Morlet wavelet neural network (MWNN) to solve the nonlinear Van der Pol–Mathieu–Duffing oscillator (Vd-PM-DO), including parameter excitation and dusty plasma studies. The proposed technique utilizes artificial neural networks to model equations and optimize error functions using global search with a genetic algorithm (GA) and fast local convergence with an interior-point algorithm (IPA). We develop an MWNN-based fitness function to predict the dynamic behavior of nonlinear Vd-PM-DO differential equations. Then, we apply a novel hybrid approach combining WCA and ABC to optimize this fitness function, and determine the optimal weight and biases for MWNN. Three different variants of the Vd-PM-DO model were numerically evaluated and compared with the reference solution to demonstrate the correctness of the designed technique. Moreover, statistical analyses using twenty trials were conducted to determine the reliability and accuracy of the suggested MWNN-GA-IPA by utilizing mean absolute deviation (MAD), Theil’s inequality coefficient (TIC), and mean square error (MSE).

  • Scrutinization of local thermal non-equilibrium effects on stagnation point flow of hybrid nanofluid containing gyrotactic microorganisms: a bio-fuel cells and bio-microsystem technology application
    Mostafa Mohamed Okasha, Munawar Abbas, Shoira Formanova, Zeshan Faiz, Ali Hasan Ali, Ali Akgül, Ibrahim Mahariq, and Ahmed M. Galal
    Springer Science and Business Media LLC


  • Nonlinear dynamics of the complex periodic coupled system via a proportional generalized fractional derivative
    Saleh S Redhwan, Mohammed A Almalahi, Ali Hasan Ali, Maryam Ahmed Alyami, Mona Alsulami, and Najla Alghamdi
    IOP Publishing
    Abstract The objective of this work is to study the intricate dynamics of nonlinear periodic coupled systems, introducing a novel approach based on the proportional fractional generalized derivative. We establish and rigorously derive sufficient conditions for the existence, uniqueness, and stability of solutions for these systems. This ensures the mathematical validity of the systems, making them reliable for simulations, predictions, and control design. This represents a significant advancement in the field of fractional-order systems. Our analysis utilizes the Banach contraction mapping principle and the Leray-Schauder alternative to ensure the well-posedness of the system. We present a detailed mathematical analysis to discuss the stability outcomes, making the results accessible and readily applicable to a wide range of problems. Furthermore, to showcase the versatility and practical implications of our approach, we present a concrete example. This demonstration highlights the novelty and impact of our research, underscoring the power of the Caputo generalized proportional fractional derivative-based periodic coupled system.

  • A ϱ-Weyl fractional operator of the extended S-type function in a complex domain
    Sarem H. Hadi, Khalid A. Challab, Ali Hasan Ali, and Abdullah A. Alatawi
    Elsevier BV

  • Mathematical analysis with control of liver cirrhosis causing from HBV by taking early detection measures and chemotherapy treatment
    Aqeel Ahmad, Muhammad Ali, Ali Hasan Ali, Magda Abd El-Rahman, Evren Hincal, and Husam A. Neamah
    Springer Science and Business Media LLC

  • Solar radiation and Lorentz force effects on Reiner-Rivlin nanofluid flow over a spinning disk with activation energy
    Refat Ullah Jan, Ikram Ullah, Mohammad Mahtab Alam, and Ali Hasan Ali
    Elsevier BV


  • Analytical investigation of two-dimensional fuzzy fractional heat problem using a modified approach
    Jinxing Liu, Muhammad Nadeem, Ali Hasan Ali, Fawziah M. Alotaibi, and Loredana Florentina Iambor
    Elsevier BV

  • Analyzing solitary wave solutions of the nonlinear Murray equation for blood flow in vessels with non-uniform wall properties
    Mustafa Inc, Shabbir Hussain, Ali Hasan Ali, Muhammad Sajid Iqbal, Romana Ashraf, Muhammad Akhtar Tarar, and Muhammad Adnan
    Springer Science and Business Media LLC
    AbstractSolitary wave solutions are of great interest to bio-mathematicians and other scientists because they provide a basic description of nonlinear phenomena with many practical applications. They provide a strong foundation for the development of novel biological and medical models and therapies because of their remarkable behavior and persistence. They have the potential to improve our comprehension of intricate biological systems and help us create novel therapeutic approaches, which is something that researchers are actively investigating. In this study, solitary wave solutions of the nonlinear Murray equation will be discovered using a modified extended direct algebraic method. These solutions represent a uniform variation in blood vessel shape and diameter that can be used to stimulate blood flow in patients with cardiovascular disease. These solutions are newly in the literature, and give researchers an important tool for grasping complex biological systems. To see how the solitary wave solutions behave, graphs are displayed using Matlab.

  • Exact and fractional solution of MHD generalized Couette hybrid nanofluid flow with Mittag–Leffler and power law kernel
    Ali Hasan Ali, Ali Raza, Belal Batiha, Ahmed M. Abed, and Zaid Ameen Abduljabbar
    Elsevier BV

  • Bifurcation, chaotic analysis and soliton solutions to the (3+1)-dimensional p-type model
    Muhammad Nadeem, Omar Abu Arqub, Ali Hasan Ali, and Husam A. Neamah
    Elsevier BV

  • A Robust Hybrid Machine and Deep Learning-based Model for Classification and Identification of Chest X-ray Images
    Rana Jassim Mohammed, Mudhafar Jalil Jassim Ghrabat, Zaid Ameen Abduljabbar, Vincent Omollo Nyangaresi, Iman Qays Abduljaleel, Ali Hasan Ali, Dhafer G. Honi, and Husam A. Neamah
    Engineering, Technology & Applied Science Research
    Successful medical treatment for patients with COVID-19 requires rapid and accurate diagnosis. Fighting the COVID-19 pandemic requires an automated system to diagnose the virus on Chest X-Ray (CXR) images. CXR images are frequently used in healthcare as they offer the potential for rapid and accurate disease diagnosis. SARS-CoV-2 targets the respiratory system, resulting in pneumonia with additional symptoms, such as dry cough, fatigue, and fever, which could be misdiagnosed as pneumonia, TB, or lung cancer. There is difficulty in differentiating the features of COVID-19 from other diseases that have similarities in CXR images. Automated Computer-Aided Diagnosis (CAD) systems incorporate machine or deep learning methods to improve efficiency and accuracy. CNNs are among the most widely used methods, as they have shown encouraging accuracy in identifying COVID-19 in CXR images. This study presents a hybrid deep learning model to provide faster diagnosis of COVID-19 infection using CXR images. The Densenet201 model was used for feature extraction and a Multi-Layer Perceptron (MLP) was used for classification. The proposed method achieved 98.82% accuracy and similar sensitivity, specificity, precision, recall, and F1 score. These results are promising when compared to other DL models trained in similar datasets.

  • A new hybrid special function class and numerical technique for multi-order fractional differential equations
    F. Ghanim, Fareeha Sami Khan, Hiba F. Al-Janaby, and Ali Hasan Ali
    Elsevier BV

  • New Grüss's inequalities estimates considering the φ-fractional integrals
    Saleh S. Redhwan, Tariq A. Aljaaidi, Ali Hasan Ali, Maryam Ahmed Alyami, Mona Alsulami, and Najla Alghamdi
    Elsevier BV


  • Evaluation of the Dynamics of Psychological Panic Factor, Glucose Risk and Estrogen Effects on Breast Cancer Model
    Zahraa Aamer, Shireen Jawad, Belal Batiha, Ali Hasan Ali, Firas Ghanim, and Alina Alb Lupaş
    MDPI AG
    Contracting cancer typically induces a state of terror among the individuals who are affected. Exploring how glucose excess, estrogen excess, and anxiety work together to affect the speed at which breast cancer cells multiply and the immune system’s response model is necessary to conceive of ways to stop the spread of cancer. This paper proposes a mathematical model to investigate the impact of psychological panic, glucose excess, and estrogen excess on the interaction of cancer and immunity. The proposed model is precisely described. The focus of the model’s dynamic analysis is to identify the potential equilibrium locations. According to the analysis, it is possible to establish four equilibrium positions. The stability analysis reveals that all equilibrium points consistently exhibit stability under the defined conditions. The transcritical bifurcation occurs when the glucose excess is taken as a bifurcation point. Numerical simulations are employed to validate the theoretical study, which shows that psychological panic, glucose excess, and estrogen excess could be significant contributors to the spread of tumors and weakness of immune function.

  • Investigation of conjunctivitis adenovirus spread in human eyes by using bifurcation tool and numerical treatment approach
    Faisal Javed, Aqeel Ahmad, Ali Hasan Ali, Evren Hincal, and Ayesha Amjad
    IOP Publishing
    Abstract In order to investigate the dynamics of the system, a mathematical model must be created to comprehend the dynamics of various prevalent diseases worldwide. The purpose of this investigation is to explore the early identification and treatment of conjunctivitis adenovirus by introducing vaccination methods for asymptomatic individuals. A mathematical model is constructed with the aim of strengthening the immune system. The ABC operator is then utilized to convert the model into a fractionally ordered one. The developed system is analyzed with analytical solutions by employing Sumudu transforms, including convergence analysis. The boundedness and uniqueness of the model are investigated using Banach space, which are key properties of such epidemic models. The uniqueness of the system is confirmed to ensure it has a unique solution. The stability of the newly constructed SEVIR system is investigated both qualitatively and statistically, and the system’s flip bifurcation has been verified. The developed system is examined through a Lyapunov function-based local and global stability study. The solution to the system is found using the Atangana-Toufik technique, a sophisticated method for reliable bounded solutions, employing various fractional values. Error analysis has also been conducted for the scheme. Simulations have been carried out to observe the real behavior and effects of the conjunctivitis virus, confirming that individuals with a strong immune response can recover without medication during the acute stage of infection. This helps to understand the real situation regarding the control of conjunctivitis adenovirus after early detection and treatment by introducing vaccination measures due to the strong immune response of the patients. Such investigations are useful for understanding the spread of the disease and for developing control strategies based on the justified outcomes.


  • Control of conjunctivitis virus with and without treatment measures: A bifurcation analysis
    Muhammad Owais Kulachi, Aqeel Ahmad, Evren Hincal, Ali Hasan Ali, Muhammad Farman, and Muhammad Taimoor
    Elsevier BV

RECENT SCHOLAR PUBLICATIONS

  • Generalized Mittag-Leffler-confluent hypergeometric functions in fractional calculus integral operator with numerical solutions
    F Ghanim, FS Khan, AH Ali, A Atangana
    Journal of Mathematical Analysis and Applications 543 (2), 128917 2025

  • How mathematical models might predict desertification from global warming and dust pollutants
    E Hakeem, S Jawad, AH Ali, K Mohamed, HA Neamah
    MethodsX, 103259 2025

  • On metric dimension of symmetrical planer pyramid related graphs
    S Nazeer, M Hussain, AH Ali
    Afrika Matematika 36 (1), 1-12 2025

  • Comparative rheological features of radiated Darcy-Forchheimer flow of micropolar and second grade fluid with cross diffusion and Arrhenius activation energy
    S Bilal, M Yasir, AH Ali
    Partial Differential Equations in Applied Mathematics 13, 101084 2025

  • Fractional Analysis for Heat Consumption of CuO-based Hybrid Nanofluid via Integral Transform
    F Ghanim, AH Ali, GE Arif, A Raza
    International Journal of Thermofluids, 101135 2025

  • Optimal control strategies for taming TikTok addiction: a mathematical model and analysis
    FS Khan, M Khalid, AH Ali, F Ghanim
    Arabian Journal of Mathematics, 1-18 2025

  • Design of Morlet Wavelet Neural Networks for Solving the Nonlinear Van der Pol–Mathieu–Duffing Oscillator Model
    AH Ali, M Amir, JU Rahman, A Raza, GE Arif
    Computers 14 (1), 14 2025

  • Keller-box based computational investigation of magnetized gravity-driven Micropolar nanofluid flow past an exponentially contracting surface with cross diffusion effect and
    M Kouki, S Shukat, I Ullah, MM Alam, AH Ali
    Alexandria Engineering Journal 111, 160-170 2025

  • Dynamic complexity of a discretized predator-prey system with Allee effect and herd behaviour
    Y Javaid, S Jawad, R Ahmed, AH Ali, B Rashwani
    Applied Mathematics in Science and Engineering 32 (1), 2420953 2024

  • The stabilizing effect of small prey immigration on competitive predator-prey dynamics
    J Alebraheem, TQ Ibrahim, GE Arif, AA Hamdi, O Bazighifan, AH Ali
    Mathematical and Computer Modelling of Dynamical Systems 30 (1), 605-625 2024

  • A comparative study of two-phase flow of an infusion of gyrotactic microorganisms and dust particles in trihybrid nanofluid with melting phenomena and Soret–Dufour effects
    M Abbas, MM Okasha, N Kamolova, AH Ali, I Mahariq, A Akgl, AM Galal
    Journal of Thermal Analysis and Calorimetry, 1-17 2024

  • Comparison study of modified and classical Hamilton–Crosser models for electrophoretic and thermophoretic particle deposition in stagnation point flow of diamond–SiC–Co3O4
    AM Galal, SA Idris, M Abbas, S Saydaxmetova, AH Ali, H Kanwal, ...
    Journal of Thermal Analysis and Calorimetry, 1-14 2024

  • Scrutinization of local thermal non-equilibrium effects on stagnation point flow of hybrid nanofluid containing gyrotactic microorganisms: a bio-fuel cells and bio-microsystem
    MM Okasha, M Abbas, S Formanova, Z Faiz, AH Ali, A Akgl, I Mahariq, ...
    Journal of Thermal Analysis and Calorimetry, 1-15 2024

  • Hermite-type interpolation in terms of exponential polynomials
    AH Ali, Z Ples
    arXiv preprint arXiv:2412.07925 2024

  • Some Notions of Hesitant Fuzzy Linguistic Graphs with Application in Decision Making
    S Faizi, A ur Rehman, AH Ali, K Javed, T Mzili
    Fuzzy Information and Engineering 16 (4), 265-284 2024

  • A ϱ-Weyl fractional operator of the extended S-type function in a complex domain
    SH Hadi, KA Challab, AH Ali, AA Alatawi
    MethodsX 13, 103061 2024

  • Solar radiation and Lorentz force effects on Reiner-Rivlin nanofluid flow over a spinning disk with activation energy
    RU Jan, I Ullah, MM Alam, AH Ali
    Ain Shams Engineering Journal 15 (12), 103063 2024

  • New modifications of natural transform iterative method and q-homotopy analysis method applied to fractional order KDV-Burger and Sawada–Kotera equations
    MM Khalil, SU Rehman, AH Ali, R Nawaz, B Batiha
    Partial Differential Equations in Applied Mathematics 12, 100950 2024

  • Analytical investigation of two-dimensional fuzzy fractional heat problem using a modified approach
    J Liu, M Nadeem, AH Ali, FM Alotaibi, LF Iambor
    Alexandria Engineering Journal 108, 158-168 2024

  • Nonlinear dynamics of the complex periodic coupled system via a proportional generalized fractional derivative
    SS Redhwan, MA Almalahi, AH Ali, MA Alyami, M Alsulami, N Alghamdi
    Physica Scripta 99 (12), 125270 2024

MOST CITED SCHOLAR PUBLICATIONS

  • The effectiveness of the finite differences method on physical and medical images based on a heat diffusion equation
    M Rasheed, AH Ali, O Alabdali, S Shihab, A Rashid, T Rashid, ...
    Journal of Physics: Conference Series 1999 (1), 012080 2021
    Citations: 66

  • An Effective Color Image Detecting Method for Colorful and Physical Images
    AH Ali, M RASHEED, S SHIHAB, T RASHID, AAJ Sabri, SHA Hamed
    Journal of Al-Qadisiyah for computer science and mathematics 13 (1), Page 88 2021
    Citations: 41

  • Nonlinear differential equations with distributed delay: some new oscillatory solutions
    B Almarri, AH Ali, AM Lopes, O Bazighifan
    Mathematics 10 (6), 995 2022
    Citations: 40

  • A new fifth-order iterative method free from second derivative for solving nonlinear equations
    NY Abdul-Hassan, AH Ali, C Park
    Journal of Applied Mathematics and Computing, 1-10 2022
    Citations: 36

  • A Modified Heat Diffusion Based Method for Enhancing Physical Images
    AH Ali, M RASHEED, S SHIHAB, T RASHID, SHA Hamed
    Journal of Al-Qadisiyah for computer science and mathematics 13 (1), Page 77 2021
    Citations: 34

  • A Novel Blurring and Sharpening Techniques Using Different Images Based on Heat Equations
    AH Ali, M RASHEED, S SHIHAB, T RASHID, SHA Hamed
    Journal of Al-Qadisiyah for computer science and mathematics 13 (1), Page 45 2021
    Citations: 34

  • Taylor-type expansions in terms of exponential polynomials
    AH Ali, Z Pales
    Mathematical Inequalities & Applications 25 (4), 1123–1141 2022
    Citations: 33

  • Extended approach to the asymptotic behavior and symmetric solutions of advanced differential equations
    O Bazighifan, AH Ali, F Mofarreh, YN Raffoul
    Symmetry 14 (4), 686 2022
    Citations: 31

  • Numerical solutions of fractional-order electrical rlc circuit equations via three numerical techniques
    U Arshad, M Sultana, AH Ali, O Bazighifan, AA Al-Moneef, K Nonlaopon
    Mathematics 10 (17), 3071 2022
    Citations: 27

  • Novel oscillation theorems and symmetric properties of nonlinear delay differential equations of fourth-order with a middle term
    B Almarri, S Janaki, V Ganesan, AH Ali, K Nonlaopon, O Bazighifan
    Symmetry 14 (3), 585 2022
    Citations: 27

  • Nonlinear stability and linear instability of double-diffusive convection in a rotating with LTNE effects and symmetric properties: brinkmann-forchheimer model
    G Abed Meften, AH Ali, KS Al-Ghafri, J Awrejcewicz, O Bazighifan
    Symmetry 14 (3), 565 2022
    Citations: 26

  • Symmetric and Non-Oscillatory Characteristics of the Neutral Differential Equations Solutions Related to p-Laplacian Operators
    B Almarri, AH Ali, KS Al-Ghafri, A Almutairi, O Bazighifan, J Awrejcewicz
    Symmetry 14 (3), 566 2022
    Citations: 26

  • A study of continuous dependence and symmetric properties of double diffusive convection: forchheimer model
    AH Ali, GA Meften, O Bazighifan, M Iqbal, S Elaskar, J Awrejcewicz
    Symmetry 14 (4), 682 2022
    Citations: 25

  • New fractional approach for the simulation of (Ag) and (TiO2) mixed hybrid nanofluid flowing through a channel: Fractal fractional derivative
    K Zheng, A Raza, AM Abed, H Khursheed, LF Seddek, AH Ali, AU Haq
    Case Studies in Thermal Engineering 45, 102948 2023
    Citations: 22

  • New Efficient Computations with Symmetrical and Dynamic Analysis for Solving Higher-Order Fractional Partial Differential Equations
    M Sultana, U Arshad, AH Ali, O Bazighifan, AA Al-Moneef, K Nonlaopon
    Symmetry 14 (8), 1653 2022
    Citations: 22

  • Neutral differential equations with distribution deviating arguments: Oscillation conditions
    B Qaraad, O Bazighifan, TA Nofal, AH Ali
    Journal Of Ocean Engineering And Science 2022
    Citations: 21

  • Computational analysis of time-fractional models in energy infrastructure applications
    I Ahmad, AA Bakar, I Ali, S Haq, S Yussof, AH Ali
    Alexandria Engineering Journal 82, 426-436 2023
    Citations: 20

  • Integrable functions of fuzzy cone and ξ - fuzzy cone and their application in the fixed point theorem
    SH Hadi, AH Ali
    Journal of Interdisciplinary Mathematics 25 (2), 247-258 2022
    Citations: 18

  • Heat transfer model analysis of fractional Jeffery-type hybrid nanofluid dripping through a poured microchannel
    A Raza, OV Stadoleanu, AM Abed, AH Ali, M Sallah
    International Journal of Thermofluids 22, 100656 2024
    Citations: 17

  • Computational results of convective heat transfer for fractionalized Brinkman type tri-hybrid nanofluid with ramped temperature and non-local kernel
    M Amir, Q Ali, A Raza, MY Almusawa, W Hamali, AH Ali
    Ain Shams Engineering Journal 15 (3), 102576 2024
    Citations: 17