Lecturer at University of Technology and Applied Sciences Nizwa, Oman, United States📖
Dr. Israr Ahmad is a passionate lecturer and researcher with over 21 years of teaching experience, including 14 years at the university level. He holds a PhD in Applied Mathematics from the Northern University of Malaysia (2017), specializing in Chaos Synchronization and Control Theory. Dr. Ahmad has published more than 43 research articles in top-tier ISI and Scopus-indexed journals. He is recognized for his research in Chaos Control, Lyapunov Stability Analysis, and Nonlinear Control Techniques.
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Education Background🎓
- PhD in Applied Mathematics, Northern University of Malaysia (2017)
- MSc in Mathematics, University of Peshawar, Pakistan (1996-1998)
- BSc in Mathematics & Physics, GOVT Post Graduate Jehanzeb College Swat, Pakistan (1993-1996)
- B.Ed, Allama Iqbal Open University, Islamabad, Pakistan (2001)
Professional Experience🌱
Dr. Ahmad has served as a Lecturer/Researcher at the University of Technology & Applied Sciences (UTAS), Nizwa, Oman, since 2010. In his role, he taught a variety of mathematics courses, including Trigonometry, Calculus, Algebra, and Linear Optimization, to students across disciplines such as IT, Engineering, and Business. He was also actively involved in curriculum development and risk management initiatives. Prior to this, he taught mathematics at Bright Future International School, Doha, Qatar, and Excelsior College, Swat, Pakistan.
Dr. Ahmad’s research primarily focuses on Chaos Synchronization and Control, Nonlinear Control, Lyapunov Stability Analysis, Robust Adaptive Control, and Sliding Mode Control. His work involves developing novel methods for stabilizing chaotic systems and applying these techniques to real-world challenges, such as secure communications. He uses tools like MATLAB Simulink and Mathematica for numerical simulations and analyses.
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Publications Top Notes 📄
1. Global Chaos Synchronization of New Chaotic System Using Linear Active Control
- Authors: I Ahmad, AB Saaban, AB Ibrahim, M Shahzad
- Journal: Complexity
- Volume: 21
- Issue: 1
- Pages: 379-386
- Year: 2015
- DOI: 10.1002/cem.2404
- Abstract: This paper presents a method for global chaos synchronization of a newly proposed chaotic system using linear active control. The stability analysis of the system is conducted, and a control law is designed to achieve synchronization under various conditions. It discusses the global exponential synchronization of chaotic systems for secure communication applications.
2. Globally Exponential Multi-Switching-Combination Synchronization Control of Chaotic Systems for Secure Communications
- Authors: I Ahmad, M Shafiq, MM Al-Sawalha
- Journal: Chinese Journal of Physics
- Volume: 56
- Issue: 3
- Pages: 974-987
- Year: 2018
- DOI: 10.1016/j.cjph.2018.03.002
- Abstract: The paper investigates the synchronization of chaotic systems using multi-switching combination synchronization control. The method is effective in the context of secure communication, ensuring reliable synchronization under perturbation and system uncertainties. It includes a global exponential stability analysis of the proposed approach.
3. The Synchronization of Chaotic Systems with Different Dimensions by a Robust Generalized Active Control
- Authors: I Ahmad, AB Saaban, AB Ibrahim, M Shahzad, N Naveed
- Journal: Optik
- Volume: 127
- Issue: 11
- Pages: 4859-4871
- Year: 2016
- DOI: 10.1016/j.ijleo.2015.12.157
- Abstract: This paper presents a robust generalized active control method for the synchronization of chaotic systems with different dimensions. The paper uses stability criteria to prove the effectiveness of the control law, showing that synchronization can be achieved despite the dimensional differences between the systems.
4. Finite-Time Stabilization of a Perturbed Chaotic Finance Model
- Authors: DB Israr Ahmad, Adel Ouannas, Muhammad Shafiq, Viet-Thanh Pham
- Journal: Journal of Advanced Research
- Year: 2021
- DOI: 10.1016/j.jare.2020.12.002
- Abstract: The paper addresses the finite-time stabilization of a perturbed chaotic finance model. It uses a new control scheme to stabilize the chaotic dynamics of financial models and applies it to real-world data. The results demonstrate how chaotic fluctuations in financial markets can be mitigated through robust control.
5. Oscillation-Free Robust Adaptive Synchronization of Chaotic Systems with Parametric Uncertainties
- Authors: I Ahmad, M Shafiq
- Journal: Transactions of the Institute of Measurement and Control
- Volume: 42
- Issue: 11
- Pages: 1977-1996
- Year: 2020
- DOI: 10.1177/0142331219895107
- Abstract: This paper introduces a robust adaptive synchronization scheme for chaotic systems that accounts for parametric uncertainties. The method ensures oscillation-free performance even in the presence of system parameter variations, which is crucial for applications in secure communication and other sensitive fields.
Conclusion
Dr. Israr Ahmad is an outstanding candidate for the Best Researcher Award. His contributions to the field of applied mathematics, particularly in chaos theory and its practical applications, have been transformative. With an impressive publication record, numerous awards, and global research collaborations, Dr. Ahmad has established himself as a thought leader in his discipline. By expanding his engagement with the public and industry, he can continue to build on his achievements and make an even greater impact in the future. His work not only advances academic knowledge but also provides valuable tools for solving complex problems in technology, finance, and beyond.