Rashid Jan is an accomplished researcher specializing in applied mathematics, infectious disease modeling, and fractional calculus. With a strong academic foundation and an international research profile, he has dedicated his career to addressing global health challenges through mathematical and computational approaches. Rashid has made significant contributions to the understanding of disease transmission dynamics, particularly focusing on dengue fever, HIV, and measles, using innovative modeling techniques. He is currently working as a Post-Doctoral Researcher at Universiti Tenaga Nasional (UNITEN), Malaysia, where he continues to develop mathematical strategies for public health improvement. Rashid’s prolific academic output includes high-impact publications, editorial responsibilities, and conference presentations worldwide. He is also recognized for his leadership as a guest editor in various international journals and his extensive experience in peer reviewing for top-tier publications. Rashid has demonstrated a deep commitment to research excellence, capacity building, and professional development through active participation in workshops and seminars focused on high-impact publishing and research methodologies. His computational proficiency in MATLAB, Python, and other programming languages enhances his ability to solve complex problems efficiently. Rashid Jan’s dedication to scientific advancement and his aspiration to contribute to global health position him as a distinguished researcher with promising future contributions.
Professional Profile
Education
Rashid Jan holds a comprehensive educational background in mathematics with a strong focus on applied and computational fields. He earned his PhD in Applied Mathematics from Xi’an Jiaotong University, China, between 2016 and 2020. His doctoral research focused on “Modeling and Analysis of the Transmission Dynamics of Dengue with Control Strategies,” providing crucial insights into disease management using mathematical models. Prior to his PhD, Rashid completed an MPhil in Mathematics from the University of Peshawar, Pakistan, in 2014, where his thesis centered on the stability analysis of dynamical systems. His postgraduate studies emphasized applied mathematics, numerical analysis, stability analysis, and computational fluid dynamics. In 2009, he obtained his MSc in Mathematics from the same university, where he developed expertise in mathematical modeling, numerical methods, and computer programming. His educational journey laid a solid foundation for his research in epidemiology, public health, and fractional calculus. Rashid’s progressive academic qualifications reflect his growing interest in solving real-world problems through mathematical techniques, leading him to a career where he integrates theory with impactful applications. His educational background has been instrumental in shaping his research direction and contributions to the field of infectious disease modeling.
Professional Experience
Rashid Jan’s professional career spans over a decade, marked by academic, research, and teaching roles across multiple countries. Currently, he is serving as a Post-Doctoral Researcher at Universiti Tenaga Nasional (UNITEN), Malaysia (2023-2025), where he is actively engaged in advanced mathematical modeling and computational studies related to infectious diseases and tumor-immune interactions. Previously, he worked as an Assistant Professor in the Department of Mathematics at the University of Swabi, Pakistan (2021-2022), where he contributed to both undergraduate and postgraduate teaching, along with supervising research projects. Rashid also has valuable teaching experience as a Lecturer at Brains Post Graduate College, Peshawar, from 2009 to 2015, where he developed and delivered mathematics courses to diverse student groups. During his PhD at Xi’an Jiaotong University, Rashid conducted extensive research in mathematical biology, focusing on epidemic models and control strategies. His professional timeline reflects a balanced combination of research excellence, teaching dedication, and international exposure. Rashid has also actively contributed to international workshops, symposiums, and collaborative research, expanding his global academic footprint. His diverse experience has enabled him to bridge theoretical mathematics with practical solutions, particularly in addressing public health issues through innovative modeling.
Research Interests
Rashid Jan’s research interests are focused on mathematical modeling and numerical analysis of infectious diseases and public health systems. His primary research areas include fractional calculus, epidemiology, disease control and prevention, computational methods, and mathematical biology. He has extensively worked on modeling vector-borne diseases like dengue fever and HIV, focusing on the development of optimal control strategies, cost-effective vaccination policies, and the analysis of transmission dynamics. Rashid is also interested in numerical methods, sensitivity analysis, bifurcation, chaos theory, and stability analysis, which are essential for understanding complex biological systems. His work incorporates computational tools and data fitting techniques to enhance the predictive power of his models. Rashid’s studies extend to the areas of impulsive vaccination strategies, parameter estimation, and Markov Chain Monte Carlo (MCMC) methods. He is also exploring the intersections of public health, stochastic systems, and fractional differential equations to provide more accurate and realistic models for disease progression and control. Additionally, Rashid’s interests cover interdisciplinary research where mathematical techniques can contribute to medical science, environmental studies, and public policy. His forward-looking research addresses real-world challenges and aims to influence health management strategies on a global scale.
Research Skills
Rashid Jan possesses advanced research skills in mathematical modeling, numerical analysis, and computational techniques that allow him to tackle complex real-world problems effectively. He is proficient in using high-level computational software such as MATLAB, Mathematica, Maple, Python, R, and C/C++ for simulation, data analysis, and algorithm development. His expertise extends to fractional calculus, sensitivity analysis, optimal control, bifurcation theory, and stability analysis, all of which are integral to his studies on infectious disease transmission and control. Rashid is skilled in parameter estimation, data fitting, and statistical methods, which enable him to validate mathematical models against real-world data. He has successfully applied Markov Chain Monte Carlo (MCMC) methods for robust statistical inference in disease modeling. His analytical approach combines theoretical frameworks with computational simulations, ensuring the accuracy and practical relevance of his results. Rashid’s research skills are complemented by his ability to conduct interdisciplinary studies that bridge mathematics, biology, and public health. Additionally, he has developed strong scientific writing, peer-reviewing, and editorial skills through his extensive involvement with international journals and special issues. His comprehensive research abilities position him as a valuable contributor to the global scientific community.
Awards and Honors
Rashid Jan has earned significant recognition in the academic and research community through his editorial leadership and impactful research contributions. He has served as a guest editor for several special issues in reputed journals such as Fractals, Demonstratio Mathematica, and The European Physical Journal Special Topics, focusing on fractional calculus and its applications in physical and biological systems. His editorial work on recent advancements in the mathematical modeling of infectious diseases has been well acknowledged in the scientific community. Rashid is a Review Editor for Statistical and Computational Physics and has reviewed over 100 research articles for high-impact international journals, highlighting his peer recognition and trust within the research network. He has been actively involved in the Integrated Dengue Research and Development (IDRD) at Universiti Putra Malaysia, further demonstrating his commitment to public health research. His conference participations and invited talks at leading universities and international platforms, including Universiti Sains Malaysia and Xian Jiaotong University, add to his professional honors. Rashid’s growing reputation is reflected in his contributions to advancing mathematical tools for disease control and his leadership in shaping future research directions in applied mathematics.
Conclusion
Rashid Jan has demonstrated a consistent and high-impact research trajectory in the field of applied mathematics with a specialized focus on infectious disease modeling and control strategies. His scholarly contributions have addressed critical public health challenges using advanced mathematical and computational methods. With a strong educational background, extensive teaching experience, and active international collaborations, Rashid has successfully integrated theoretical research with real-world health issues. His editorial responsibilities, peer-reviewing activities, and participation in global conferences reflect his leadership in the scientific community and his commitment to advancing interdisciplinary research. While his research profile is highly commendable, focusing on interdisciplinary partnerships and grant-funded projects could further elevate his academic influence and practical contributions. Rashid’s work exemplifies the application of mathematics to life-saving solutions, offering valuable insights into disease prevention and health policy development. His current and future endeavors hold significant potential to contribute meaningfully to public health and scientific advancement on a global scale. Based on his professional achievements and research excellence, Rashid Jan stands as a deserving candidate for the Best Researcher Award and is poised to continue making valuable contributions to the field