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junaidaliop/README.md

Muhammad Junaid Ali Asif Raja

AI Researcher | Graduate Scholar

Hi, I'm Junaid Ali. I'm a passionate researcher in the fields of Machine Learning and Scientific Computing. Currently, I am working on design of state-of-the-art optimization algorithms with applications to computer vision, medical imaging and recommender systems. I also work on the neural network based solutions of differential equations.

Website Google Scholar ORCID GitHub GitHub Stars

Research Interests

  • Deep Learning Optimization Algorithms: Developing efficient deep learning optimization algorithms (fractional-calculus) to enhance neural network training.
  • Recommender Systems: Leveraging deep learning-based collaborative filtering models for personalized recommendations.
  • Medical Imaging: Applying AI and fractional calculus techniques to improve image classification and disease diagnosis.
  • Physics-Informed Learning: Designing Physics-Informed Neural Networks to solve complex differential equations.
  • Computational Neuroscience: Integration of neuronal models and or differential solutions of neuronal models (HH, FHN, HR etc.)

Publications

  1. A Hybrid Neural-Computational Paradigm for Complex Firing Patterns and Excitability Transitions in Fractional Hindmarsh-Rose Neuronal Models
    Muhammad Junaid Ali Asif Raja, Shahzaib Ahmed Hassan, Chuan-Yu Chang, Chi-Min Shu, Adiqa Kausar Kiani, Muhammad Shoaib, Muhammad Asif Zahoor Raja.
    Chaos, Solitons & Fractals, 2025.
    DOI: 10.1016/j.chaos.2025.116149

  2. Design of deep learning networks for nonlinear delay differential system for Stuxnet virus spread in an air gapped critical environment
    Muhammad Junaid Ali Asif Raja, Zaheer Masood, Ijaz Hussain, Aneela Zameer, Muhammad Asif Zahoor Raja.
    Applied Soft Computing, 2025.
    DOI: 10.1016/j.asoc.2025.113091

  3. Bayesian-regularized cascaded neural networks for fractional asymmetric carbon-thermal nutrient-plankton dynamics under global warming and climatic perturbations
    Muhammad Junaid Ali Asif Raja, Adil Sultan, Chuan-Yu Chang, Chi-Min Shu, Adiqa Kausar Kiani, Muhammad Asif Zahoor Raja.
    Engineering Applications of Artificial Intelligence, 2025.
    DOI: 10.1016/j.engappai.2025.110739

  4. Design of a fractional-order environmental toxin-plankton system in aquatic ecosystems: A novel machine predictive expedition with nonlinear autoregressive neuroarchitectures
    Muhammad Junaid Ali Asif Raja, Adil Sultan, Chuan-Yu Chang, Chi-Min Shu, Muhammad Shoaib, Adiqa Kausar Kiani, Muhammad Asif Zahoor Raja.
    Water Research, 2025.
    DOI: 10.1016/j.watres.2025.123640

  5. Novel Intelligent Exogenous Neuro-Architecture–Driven Machine Learning Approach for Nonlinear Fractional Breast Cancer Risk System
    Afshan Fida, Muhammad Asif Zahoor Raja, Chuan-Yu Chang, Muhammad Junaid Ali Asif Raja, Zeshan Aslam Khan, Muhammad Shoaib.
    Communications in Nonlinear Science and Numerical Simulation, 2025.
    DOI: 10.1016/j.cnsns.2025.108955

  6. Supervised autoregressive eXogenous Networks with Fractional Grünwald–Letnikov finite differences: Tumor Evolution and Immune Responses under Therapeutic Influence fractals model
    Hassan Raza, Muhammad Junaid Ali Asif Raja, Rikza Mubeen, Zaheer Masood, Muhammad Asif Zahoor Raja.
    Biomedical Signal Processing and Control, 2025.
    DOI: 10.1016/j.bspc.2025.107871

  7. Prognostication of zooplankton-driven cholera pathoepidemiological Dynamics: Novel Bayesian-regularized deep NARX neuroarchitecture
    Muhammad Junaid Ali Asif Raja, Adil Sultan, Chuan-Yu Chang, Chi-Min Shu, Adiqa Kausar Kiani, Muhammad Shoaib, Muhammad Asif Zahoor Raja.
    Computers in Biology and Medicine, 2025.
    DOI: 10.1016/j.compbiomed.2025.110197

  8. A Novel Fractional Parkinson's Disease Onset Model Involving α-Syn Neuronal Transportation and Aggregation: A Treatise on Machine Predictive Networks
    Roshana Mukhtar, Chuan-Yu Chang, Aqib Mukhtar, Muhammad Junaid Ali Asif Raja, Naveed Ishtiaq Chaudhary, Zeshan Aslam Khan, Muhammad Asif Zahoor Raja.
    Chaos, Solitons & Fractals, 2025.
    DOI: 10.1016/j.chaos.2025.116269

  9. Machine Learning-Driven Exogenous Neural Architecture for Nonlinear Fractional Cybersecurity Awareness Model in Mobile Malware Propagation
    Kiran Asma, Muhammad Asif Zahoor Raja, Chuan-Yu Chang, Muhammad Junaid Ali Asif Raja, Muhammad Shoaib.
    Chaos, Solitons & Fractals, 2025.
    DOI: 10.1016/j.chaos.2024.115948

  10. Design of Intelligent Bayesian Regularized Deep Cascaded NARX Neurostructure for Predictive Analysis of FitzHugh-Nagumo Bioelectrical Model in Neuronal Cell Membrane
    Muhammad Junaid Ali Asif Raja, Shahzaib Ahmed Hassan, Chuan-Yu Chang, Chi-Min Shu, Adiqa Kausar Kiani, Muhammad Shoaib, Muhammad Asif Zahoor Raja.
    Biomedical Signal Processing and Control, 2025.
    DOI: 10.1016/j.bspc.2024.107192

  11. Predictive Modeling of Fractional Plankton-Assisted Cholera Propagation Dynamics Using Bayesian Regularized Deep Cascaded Exogenous Neural Networks
    Adil Sultan, Muhammad Junaid Ali Asif Raja, Chuan-Yu Chang, Chi-Min Shu, Adiqa Kausar Kiani, Muhammad Asif Zahoor Raja.
    Process Safety and Environmental Protection, 2025.
    DOI: 10.1016/j.psep.2025.106819

  12. Design of Fractional Innate Immune Response to Nonlinear Parkinson's Disease Model with Therapeutic Intervention: Intelligent Machine Predictive Exogenous Networks
    Roshana Mukhtar, Chuan-Yu Chang, Muhammad Asif Zahoor Raja, Naveed Ishtiaq Chaudhary, Muhammad Junaid Ali Asif Raja, Chi-Min Shu.
    Chaos, Solitons & Fractals, 2025.
    DOI: 10.1016/j.chaos.2024.115947

  13. Generalized Fractional Optimization-Based Explainable Lightweight CNN Model for Malaria Disease Classification
    Zeshan Aslam Khan, Muhammad Waqar, Muhammad Junaid Ali Asif Raja, Naveed Ishtiaq Chaudhary, Abeer Tahir Mehmood Anwar Khan, Muhammad Asif Zahoor Raja.
    Computers in Biology and Medicine, 2025.
    DOI: 10.1016/j.compbiomed.2024.109593

  14. Synergistic Modeling of Hemorrhagic Dengue Fever: Passive Immunity Dynamics and Time-Delay Neural Network Analysis
    Hassan Raza, Muhammad Junaid Ali Asif Raja, Rikza Mubeen, Zaheer Masood, Muhammad Asif Zahoor Raja.
    Computational Biology and Chemistry, 2025.
    DOI: 10.1016/j.compbiolchem.2025.108365

  15. Intelligent Predictive Networks for Nonlinear Oxygen-Phytoplankton-Zooplankton Coupled Marine Ecosystems Under Environmental and Climatic Disruptions
    Adil Sultan, Muhammad Junaid Ali Asif Raja, Chuan-Yu Chang, Chi-Min Shu, Muhammad Shoaib, Adiqa Kausar Kiani, Muhammad Asif Zahoor Raja.
    Process Safety and Environmental Protection, 2025.
    DOI: 10.1016/j.psep.2024.11.092

  16. Novel Design of Fractional Cholesterol Dynamics and Drug Concentrations Model with Analysis on Machine Predictive Networks
    Muhammad Junaid Ali Asif Raja, Shahzaib Ahmed Hassan, Chuan-Yu Chang, Hassan Raza, Rikza Mubeen, Zaheer Masood, Muhammad Asif Zahoor Raja.
    Computers in Biology and Medicine, 2025.
    DOI: 10.1016/j.compbiomed.2024.109423

  17. Nonlinear Chaotic Lorenz-Lü-Chen Fractional Order Dynamics: A Novel Machine Learning Expedition with Deep Autoregressive Exogenous Neural Networks
    Shahzaib Ahmed Hassan, Muhammad Junaid Ali Asif Raja, Chuan-Yu Chang, Chi-Min Shu, Muhammad Shoaib, Adiqa Kausar Kiani, Muhammad Asif Zahoor Raja.
    Chaos, Solitons & Fractals, 2024.
    DOI: 10.1016/j.chaos.2024.115852

  18. Fractional Gradient Optimized Explainable Convolutional Neural Network for Alzheimer's Disease Diagnosis
    Zeshan Aslam Khan, Muhammad Waqar, Naveed Ishtiaq Chaudhary, Muhammad Junaid Ali Asif Raja, Saadia Khan, Farrukh Aslam Khan, Iqra Ishtiaq Chaudhary, Muhammad Asif Zahoor Raja.
    Heliyon, 2024.
    DOI: 10.1016/j.heliyon.2024.e12892

  19. Design of Nonlinear Delay Differential System for Analyzing Vulnerabilities in Nanoscale Hardware Implants: A Deep Dive into Intelligent Computing Networks
    Muhammad Junaid Ali Asif Raja, Zaheer Masood, Ijaz Hussain, Aneela Zameer, Ammara Mehmood, Muhammad Asif Zahoor Raja.
    Nano, 2024.
    DOI: 10.1142/S1234567890123456

For the complete list, check my Google Scholar profile.

Skills and Tools

Python PyTorch TensorFlow Julia C++ C MATLAB Git GitHub Linux Bash Jupyter LaTeX Docker VSCode

Let's Collaborate

I'm open to research collaborations in any of the modules i work in. Feel free to reach out!

📧 [email protected]

GitHub Stats

Junaid's GitHub Stats

Pinned Loading

  1. MNIST-SOPCNN MNIST-SOPCNN Public

    Implementation of SOPCNN on MNIST dataset

    Python 9 1

  2. guava-classification guava-classification Public

    Guava Disease Classification using DenseNet-Reloaded and ADOPT optimizer. Achieves 99.73% accuracy in Anthracnose, Fruit Fly, and Healthy Guava detection.

    Jupyter Notebook

  3. daily-research-paper-recommender daily-research-paper-recommender Public

    Personalized Daily Research Paper Recommender

    Python

  4. optim optim Public

    Exploration of Latest State-of-the-Art Deep Learning Optimizers in PyTorch

    Python