Dr. Jamshaid Ul Rahman
Pakistani Mathematician · AI Researcher · Assistant Professor
📄 50+ publications
📚 680+ citations
🔍 h-index: 17
⭐ i10-index: 26
Biography
Dr. Jamshaid Ul Rahman is a Pakistani mathematician, researcher, and academic specializing in applied and computational mathematics, with expertise in artificial intelligence, deep learning, scientific machine learning for computational biology and chemistry, computer vision, and the modeling of nonlinear dynamical systems. His research integrates advanced mathematical frameworks with modern AI methodologies to develop data-driven solutions for complex scientific and engineering challenges, particularly in molecular property prediction, medical image analysis, epidemic modeling, and the simulation of biological and physical systems.
He earned his PhD in Computational Mathematics with a specialization in Deep Learning from the University of Science and Technology of China, a globally recognized institution ranked among the world's top 200 universities, under the prestigious CAS–TWAS President Fellowship. His doctoral research focused on advanced feature learning techniques for deep convolutional neural networks applied to large-scale datasets. He is currently serving as an Assistant Professor at the Abdus Salam School of Mathematical Sciences, where he is actively engaged in teaching, graduate research supervision, academic mentoring, curriculum development, and institutional service, while promoting interdisciplinary research and scholarly activities in mathematics, artificial intelligence, and computational science.
Dr. Rahman has authored more than 50 peer-reviewed research publications in internationally recognized journals and has received over 680 citations, with an h-index of 17 and an i10-index of 26. His scholarly contributions span deep neural networks, graph neural networks, physics-informed neural networks, and AI-driven computational modeling. In addition to supervising MS/MPhil and PhD researchers, he actively contributes to the international academic community as a reviewer for leading journals, including Nature Communications and Scientific Reports. His interdisciplinary research continues to advance the interface of mathematics, artificial intelligence, and computational science, with impactful applications in healthcare, engineering, and complex dynamical systems.
Education
Ph.D. in Computational Mathematics / Deep Learning
University of Science and Technology of China (USTC), China
QS World University Ranking #89 in 2020 • Award: CAS–TWAS President Fellowship
M.S. in Mathematical Modeling & Scientific Computing
Air University, Islamabad, Pakistan
B.Sc. (Hons.) in Mathematics
GC University Faisalabad, Pakistan
Experience
Assistant Professor (2021 – Present)
Abdus Salam School of Mathematical Sciences, Government College University, Lahore.
Abdus Salam School of Mathematical Sciences, Government College University, Lahore.
Postdoctoral Fellow (2021)
Abdus Salam School of Mathematical Sciences, Government College University, Lahore.
Abdus Salam School of Mathematical Sciences, Government College University, Lahore.
Teaching Areas
His teaching and research interests include Applied and Computational Mathematics, with emphasis on Mathematical Modeling and Simulation, Differential Equations, Artificial Intelligence, Numerical Analysis, Topics in Mathematics (Foundations of Deep Learning), Mathematics for Machine Learning, Scientific Computing, as well as emerging areas such as Graph Neural Networks, Physics-Informed Neural Networks (PINNs), and Neural Operators.
List of graduate students
MS/MPhil Students graduated
- Ms. Momina Arshad (2025) — Thesis title: Mathematical Modelling and Prediction of Monkeypox Transmission Dynamics using Physics Informed Neural Networks
- Mr. Hasnain Ali (2025) — Thesis title: Optimization of Graph Neural Networks for Molecular Property Prediction
- Ms. Shanza Shabeer (2025) — Thesis title: Mathematical Modeling of Epidemic Dynamics and Simulation with Optimized Deep Neural Networks
- Mr. Malik Ahsin Iqbal (2025) — Thesis title: Molecular Feature Learning and Property Prediction using Attentional Graph Isomorphism Network
- Ms. Uzma Nadeem (2025) — Thesis title: Deep Neural Network Driven analysis for free Vibrations in Tapered Beam
- Ms. Nimra Shuket (2024) — Thesis title: Venturing into the Operational Efficacy of Deep Neural Networks and cutting-edge Applications
- Ms. Rubiqa Zulfiqar (2024) — Thesis title: Optimal Tuning for Enhanced Efficiency in Deep Neural Networks: A Focus on Visionary Applications and Non-Linear Dynamics
- Ms. Nabila Anwar (2024) — Thesis title: Mathematical Modeling and Numerical Simulation of Nano/Microelectromechanical Systems triggered by the Van Der Waals Force
- Ms. Sana Danish (2023) — Thesis title: Mathematical Molding and Simulation in Deep Learning Architectures and its Applications in Computer Vision and Dynamical System
- Ms. Faiza Makhdoom (2023) — Thesis title: Deep Learning Models for Image Recognition and Dynamical Simulation
- Mr. Arslan (MPhil 2022) — Thesis title: Deep Hypersphere Embedding with Laplacian Smooth Stochastic Gradient Descent for Face Recognition
PhD Students
- Mr. Abdul Mannan (2022-2025) — Thesis title: Oscillatory Activation Functions Based Deep Neural Networks for Simulations of Nonlinear Dynamical Systems
- Ms. Areen Rasool (2022-2025) — Thesis title: Computational Analysis of Graph Neural Networks for Non-Euclidean Data Structures
Journal Papers
2026
- Rasool, Areen, Jamshaid Ul Rahman, and Qasim Ali. "DeepHybridCPI: A Hybrid Deep Learning Framework for Compound–Protein Interaction Prediction." Journal of Molecular Graphics and Modelling (2026): 109303.
2025
- Jamshaid Ul Rahman, Uzma Nadeem, Gulfam Haider, and Yaqoob Al Rahbi. "Deep Neural Network-Driven Analysis of Free Vibrations in Tapered Beams." Applied Mechanics 6, no. 3 (2025): 59.
- Jamshaid Ul Rahman, Hasnain Ali, and Areen Rassol. "A Comprehensive Analysis of Optimizers in Message Passing Neural Networks for Molecular Property Prediction Task." Computational Biology and Chemistry (2025): 108556.
- Shoket, Nimra, Jamshaid Ul Rahman, and Noshaba Zafar. "Mathematical modeling and computational investigation of the COVID-19 epidemic using wavelet neural networks and coupled optimization." SN Soft Computing (2025): 1–18.
- Jamshaid Ul Rahman, Malik Ahsin Iqbal, Areen Rasool, and Rongin Uwitije. "p-GIN: a graph isomorphism network based on p-laplacian operator to enhance molecular property prediction." Discover Applied Sciences 7, no. 11 (2025): 1251.
- Jamshaid Ul Rahman, Momina Arshad, and Noreen Mustafa. "A Boundary-Aware PINN Framework for Monkeypox Transmission Dynamics Using Chebyshev-Distributed Collocation." International Journal of Applied and Computational Mathematics 11, no. 6 (2025): 251.
- Ali, Ali Hasan, Muhammad Amir, Jamshaid Ul Rahman, Ali Raza, and Ghassan Ezzulddin Arif. "Design of Morlet Wavelet Neural Networks for Solving the Nonlinear Van der Pol–Mathieu–Duffing Oscillator Model." Computers 14, no. 1 (2025): 14.
- Mannan, Abdul, Nimra Shoket, Jamshaid Ul Rahman, and Rongin Uwitije. "Dynamic analysis of ebola virus disease with non-linear incidence rate using morlet wavelet neural networks and hybrid optimization techniques." Modeling Earth Systems and Environment 11, no. 2 (2025): 79.
- Mannan, Abdul, Jamshaid Ul Rahman, Quaid Iqbal, and Rubiqa Zulfiqar. "Design of Periodic Neural Networks for Computational Investigations of Nonlinear Hepatitis C Virus Model Under Boozing." Computation 13, no. 3 (2025): 66.
- Mustafa Noreen, Jamshaid Ul Rahman, Umar Ishtiaq, and Ioan-Lucia Popa. "Artificial Neural Network-Based Approach for Dynamic Analysis and Modeling of Marburg Virus Epidemics for Health Care." Symmetry 17, no. 4 (2025): 578.
- Amir Muhammad, Jamshaid Ul Rahman, Ali Hasan Ali, Ali Raza, Zaid Ameen Abduljabbar, and Husam A Neamah. "Deep Learning-Based Technique for Investigating the Behavior of MEMS Systems with Multiwalled Carbon Nanotubes and Electrically Actuated Microbeams." MethodsX (2025): 103337.
- Rasool Areen, Jamshaid Ul Rahman, and Rongin Uwitije. "Enhancing molecular property prediction with quantized GNN models." Journal of Cheminformatics 17, no. 1 (2025): 81.
2024
- Jamshaid Ul Rahman, Faiza Makhdoom, Akhtar Ali, and Sana Danish. "Mathematical modeling and simulation of biophysics systems using neural network." International Journal of Modern Physics B 38, no. 05 (2024): 2450066.
- Jamshaid Ul Rahman, Sana Danish, and Dianchen Lu. "Oscillator Simulation with Deep Neural Networks." Mathematics 12, no. 7 (2024): 959.
- Jamshaid Ul Rahman, Rubiqa Zulfiqar, Asad Khan, et al. "SwishReLU: A Unified Approach to Activation Functions for Enhanced Deep Neural Networks Performance." arXiv preprint arXiv:2407.08232 (2024).
- Jamshaid Ul Rahman, Nimra. "DiffGrad for Physics-Informed Neural Networks." arXiv preprint arXiv:2409.03239 (2024).
- Mustafa, Noreen, Jamshaid Ul Rahman, and Andrew Omame. "Modelling of Marburg virus transmission dynamics: a deep learning-driven approach with the effect of quarantine and health awareness interventions." Modeling Earth Systems and Environment (2024): 1–21.
- Rasool Areen, Jamshaid Ul Rahman, and Quaid Iqbal. "Optimizing GNN Architectures Through Nonlinear Activation Functions for Potent Molecular Property Prediction." Computation 12, no. 11 (2024): 212.
- Danish, Sana, Nimra Shoket Ali, and Jamshaid Ul Rahman. "Optimizing Capsule Endoscopy Detection: A Deep Learning Approach with L-Softmax and Laplacian-SGD." i-Manager's Journal on Mathematics 13, no. 2 (2024): 10.
- Rashid, Umair, Naeem Ullah, Ali Akgül, Dianchen Lu, and Jamshaid Ul Rahman. "Micropolar (copper–water) nanofluid flow past a stretching sheet with nanosized particles shape impact." Numerical Heat Transfer, Part B: Fundamentals (2024): 1–14.
- Makhdoom, Faiza, and Jamshaid Ul Rahman. "A COMPARATIVE EXPLORATION OF ACTIVATION FUNCTIONS FOR IMAGE CLASSIFICATION IN CONVOLUTIONAL NEURAL NETWORKS." i-Manager's Journal on Artificial Intelligence & Machine Learning (JAIM) 2, no. 1 (2024).
- Jamshaid Ul Rahman, Faiza Makhdoom, Umair Rashid, Dianchen Lu, Ali Akgül, et al. "An Oscillatory Deep Neural Network for Coupled Electrical Circuits." (2024).
- Nimra, N, Jamshaid Ul Rahman, and Dianchen Lu. "Modified scaled exponential linear unit." Math. Syst. Sci 2, no. 2 (2024).
2023
- Jamshaid Ul Rahman, et al. "Insight into the study of some nonlinear evolution problems: Applications based on Variation Iteration Method with Laplace." International Journal of Modern Physics B 37, no. 03 (2023): 2350030.
- Haider, Jamil A, Jamshaid Ul Rahman, Fiazud D Zaman, and Sana Gul. "Travelling wave solutions of the non-linear wave equations." acta mechanica et automatica 17, no. 2 (2023): 239–245.
- Amir, Muhammad, Jamil Abbas Haider, Jamshaid Ul Rahman, and Asifa Ashraf. "Solutions of the nonlinear evolution problems and their applications." acta mechanica et automatica 17, no. 3 (2023): 357–363.
- Jamshaid Ul Rahman, Sana Danish, and Dianchen Lu. "Deep Neural Network-Based Simulation of Sel'kov Model in Glycolysis: A Comprehensive Analysis." Mathematics 11, no. 14 (2023): 3216.
- Jamshaid Ul Rahman, Faiza Makhdoom, and Dianchen Lu. "Amplifying sine unit: An oscillatory activation function for deep neural networks to recover nonlinear oscillations efficiently." arXiv preprint arXiv:2304.09759 (2023).
- Jamshaid Ul Rahman, Faiza Makhdoom, and Dianchen Lu. "ASU-CNN: An efficient deep architecture for image classification and feature visualizations." arXiv preprint arXiv:2305.19146 (2023).
- Ashraf, H, et al. "Lifting and drainage of Sisko fluid film with surface tension: A theoretical study on stationary points and thickness of uniform film." International Journal of Modern Physics B 37, no. 26 (2023): 2350304.
2022
- Shaikh, Irfan Ahmed, et al. "Optimizing approach of water allocation to off-takes during reduced flows." Water Resources Management 36, no. 3 (2022): 891–913.
- Khan, Waseem Asghar, Jamshaid Ul Rahman, Muhammad Arif, Mogtaba Mohammed, Umer Farooq, Fozia Bashir Farooq, Murtada K Elbashir, and Ziyad Ali AlHussain. "Numerical and Theoretical Investigation to Estimate Darcy Friction Factor in Water Network Problem Based on Modified Chun-Hui He's Algorithm and Applications." Mathematical Problems in Engineering 2022 (2022).
- Anjum, Naveed, Jamshaid Ul Rahman, Ji-Huan He, Md Nur Alam, and Muhammad Suleman. "An efficient analytical approach for the periodicity of nano/microelectromechanical systems' oscillators." Mathematical Problems in Engineering 2022, no. 1 (2022): 9712199.
- Ali, Akhtar, Majid Hussain, Muhammad Hussan, Jamshaid Ul Rahman, et al. "Numerical solution and mathematical modelling of mass transport from medicated stent." Physica Scripta 97, no. 6 (2022): 065709.
- Arif, Faiza, et al. "Mathematical Modeling and Numerical Simulation for the Outbreak of COVID-19 Involving Loss of Immunity and Quarantined Class." Computational and Mathematical Methods in Medicine 2022, no. 1 (2022): 3816492.
- Ahmad, Shahbaz, Faisal Fairag, Adel M Al-Mahdi, and Jamshaid Ul Rahman. "Preconditioned augmented Lagrangian method for mean curvature image deblurring." AIMS Math. 7, no. 10 (2022): 17989–18009.
- Rehman, Shahida, Akhtar Hussain, Jamshaid Ul Rahman, Naveed Anjum, and Taj Munir. "Modified Laplace based variational iteration method for the mechanical vibrations and its applications." acta mechanica et automatica 16, no. 2 (2022).
2021
- Lu, Dianchen, Muhammad Suleman, Muhammad Ramzan, and Jamshaid Ul Rahman. "Numerical solutions of coupled nonlinear fractional KdV equations using He's fractional calculus." International Journal of Modern Physics B 35, no. 02 (2021): 2150023.
- Lu, Dianchen, Muhammad Suleman, Jamshaid Ul Rahman, Samad Noeiaghdam, and Ghulam Murtaza. "Numerical simulation of fractional Zakharov–Kuznetsov equation for description of temporal discontinuity using projected differential transform method." Complexity 2021, no. 1 (2021): 9998610.
- Cui, Jifeng, Umer Farooq, Ahmed Jan, Murtada K Elbashir, Waseem Asghar Khan, Mogtaba Mohammed, Ziyad Ali Alhussain, and Jamshaid Ul Rahman. "Significance of nonsimilar numerical simulations in forced convection from stretching cylinder subjected to external magnetized flow of Sisko fluid." Journal of Mathematics 2021, no. 1 (2021): 9540195.
2020
- Rashid, Umair, Azhar Iqbal, Haiyi Liang, and Jamshaid Ul Rahman. "Effects of Gold Nanoparticles Shapes on Magnetohydrodynamic Flow and Heat Transfer in the Presence of Thermal Radiation." Journal of Magnetics 25, no. 3 (2020): 319–329.
- Alsaadi, Fawaz E, Syed Ahtsham Ul Haq Bokhary, Aqsa Shah, Usman Ali, Jinde Cao, Madini Obad Alassafi, Masood Ur Rehman, and Jamshaid Ul Rahman. "On Knowledge Discovery and Representations of Molecular Structures Using Topological Indices." Journal of Artificial Intelligence and Soft Computing Research 11, no. 1 (2020): 21–32.
- Ali, Akhtar, Majid Hussain, Zafar Ali, Jamshaid Ul Rahman, and Muhammad Hussan. "Parallel Performance Analysis and Numerical Simulation of Magnetic Nanoparticles Transportation and Blood Flow Pattern in Capillaries." IEEE Access 8 (2020): 195021–195029.
- Jamshaid Ul Rahman, Akhtar Ali, and Rafaqat Kazmi. "A Unit Softmax with Laplacian Smoothing Stochastic Gradient Descent for Deep Convolutional Neural Networks." In Intelligent Technologies and Applications: Second International Conference, INTAP 2019, 162. Springer, 2020.
2019
- Jamshaid Ul Rahman, Qing Chen, and Zhouwang Yang. "Additive Parameter for Deep Face Recognition." Communications in Mathematics and Statistics 8 (2019): 203–217.
- Jamshaid Ul Rahman, Umair Khan, Shafiq Ahmad, Muhammad Ramzan, Muhammad Suleman, Dianchen Lu, and Saba Inam. "Numerical simulation of Darcy–Forchheimer 3D unsteady nanofluid flow comprising carbon nanotubes with Cattaneo–Christov heat flux and velocity and thermal slip conditions." Processes 7, no. 10 (2019): 687.
- Suleman, Muhammad, Dianchen Lu, Chen Yue Jamshaid Ul Rahman, and Naveed Anjum. "He–Laplace method for general nonlinear periodic solitary solution of vibration equations." Journal of Low Frequency Noise, Vibration and Active Control 38, no. 3-4 (2019): 1297–1304.
- Jamshaid Ul Rahman, Muhammad Suleman, DianChen Lu, Ji-Huan He, and Muhammad Ramzan. "He-Elzaki Method for Spatial Diffusion of Biological Population." Fractals (2019).
- Jamshaid Ul Rahman, Usman Ali, and Masood Ur Rehman. "The Laplacian energy of diameter 4 trees." Journal of Discrete Mathematical Sciences and Cryptography (2019): 1–10.
- Jamshaid Ul Rahman, Akhtar Ali, Masood Ur Rehman, and Rafaqat Kazmi. "A unit softmax with Laplacian smoothing stochastic gradient descent for deep convolutional neural networks." In International Conference on Intelligent Technologies and Applications, 162–174. Springer, 2019.
