City University of Science and Information Technology | Pakistan
Author Profile
Google Scholar
Early Academic Pursuits
Misbah Ullah began his academic journey in mathematics with a Bachelor of Science degree from the University of Peshawar, followed by a Master of Science (16 years) in Mathematics, where he laid a strong foundation in natural sciences and mathematical problem-solving. His academic excellence was further solidified with a second Master of Science (18 years) from City University, Peshawar, achieving a commendable CGPA of 3.77/4.0. His thesis, “Stochastic Modeling of HCV among Infected People Who Inject Drugs”, reflects his early inclination toward applying advanced mathematical methods to real-world health challenges.
Professional Endeavors
Throughout his academic career, Misbah Ullah has immersed himself in a dynamic research environment. He actively participated in conferences such as the International Conference on Emerging Trends in Engineering, Management & Sciences (ICETEMS-2023), showcasing his ability to contribute to interdisciplinary academic discussions. His collaboration with eminent researchers and mentors has further strengthened his professional growth and visibility in the international research community.
Contributions and Research Focus
Misbah’s research primarily focuses on the intersection of mathematics, epidemiology, and computational modeling. His contributions span stochastic modeling, numerical solutions, spectral collocation techniques, and the application of artificial neural networks to disease dynamics. He has published high-impact research articles, including works in Scientific Reports and International Journal of Biomathematics, covering topics such as hepatitis C, chikungunya virus modeling, and malicious code propagation in wireless sensor networks. His ability to merge deterministic, stochastic, and fractional approaches highlights his innovative mindset and technical expertise.
Impact and Influence
Through his work, Misbah Ullah has provided new insights into disease modeling, neural networks, and control analysis, enabling predictive frameworks for public health and cybersecurity challenges. His publications are gaining recognition in peer-reviewed international journals, demonstrating his potential to influence both theoretical mathematics and applied sciences. His interdisciplinary research strengthens the bridge between mathematical theories and their practical implementations in epidemiology and computer science.
Academic Citations
Although at an early stage of his academic career, Misbah’s research outputs are already positioned to attract significant citations due to their novelty and practical applications. His collaborations with international scholars and contributions in high-ranking journals indicate that his citation impact will grow steadily, further enhancing his academic footprint.
Legacy and Future Contributions
Looking ahead, Misbah Ullah aspires to expand his research on infectious disease dynamics, artificial neural networks, and fractional derivatives, providing advanced tools for scientific innovation. His long-term vision includes mentoring future researchers, contributing to global health solutions, and developing computational methods that combine accuracy with efficiency. His dedication to bridging mathematics with pressing societal issues promises a strong academic legacy and impactful contributions in years to come.
Conclusion
In summary, Misbah Ullah is a promising mathematician and researcher whose academic dedication, innovative research in stochastic and neural network modeling, and impactful contributions in infectious disease dynamics set him apart as an emerging leader in applied mathematics. His journey reflects both scholarly depth and societal relevance, making him a strong candidate for academic recognition and future leadership in the global research community.
Notable Publications
“A novel numerical solution of nonlinear stochastic model for the propagation of malicious codes in Wireless Sensor Networks using a high order spectral collocation technique"
- Author: J Zhu, M Ullah, S Ullah, MB Riaz, AB Saqib, AM Alamri, SA AlQahtani
- Journal: Scientific Reports
- Year: 2025
“A Multi-Layer Computational Neural Network Approach for Solving Stochastic Within-Host Chikungunya Model with an Adaptive Immune Response"
- Author: F Yu, M Ullah, S Ullah, M Asiri, S Ullah Khan, M Qeshta
- Journal: International Journal of Biomathematics
- Year: 2025
“A Novel Stochastic Neural Network Framework for Modeling and Simulation of Within-Host Chikungunya virus Transmission with Latency"
- Author: S Li, M Ullah, S Ullah, T Muhammad, Q Iqbal
- Journal: Knowledge-Based Systems
- Year: 2025