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.

• 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.)

1. 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.
   

2. 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.
   

3. 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.
   

4. 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.
   

5. 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.
   

6. 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.
   

7. 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.
   

8. 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.
   

9. 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.
   

10. 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.
    

11. 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.
    

For the complete list, check my Google Scholar profile.

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

📧 muhammadjunaidaliasifraja@gmail.com