Sami Khan | Computational Bio-Mathematics | Best Researcher Award

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Dr. Sami Khan | Computational Bio-Mathematics | Best Researcher Award

Dr. Sami Khan, City University of Science and Information Technology Peshawar, Pakistan

🌟 Sami Ullah Khan, a highly skilled mathematician and educator, holds a PhD in Computational Mathematics from COMSATS University Islamabad. With over seven years of teaching experience, including lecturing at City University Peshawar, he is proficient in MATLAB, Maple, LaTeX, and MS Office. His passion for research is evident through his five published articles. Hailing from LakkiMarwat, Pakistan, Sami Ullah Khan seeks to leverage his academic prowess and teaching acumen to contribute dynamically to challenging work environments, while also indulging in his hobbies of cricket and football. 📚

Publication Profile:

Orcid

Education:

📚 Sami Ullah Khan’s academic journey reflects a steadfast pursuit of excellence in mathematics. He began his educational odyssey with Matriculation from GHS No-1 Adamzai, LakkiMarwat, securing First Division under BISE Bannu. Progressing to HSSC at GDC Tajori, he maintained his stellar performance. Sami Ullah further honed his skills with a BSc in Math A and B from Gomal University, D.I. Khan, followed by an MSc from the University of Peshawar. His quest for knowledge led him to attain an MS in Mathematics with a commendable 3.3 CGPA from COMSATS Institute of Information Technology, Islamabad, culminating in a PhD in Computational Mathematics from COMSATS University Islamabad. 🌟

Work Experience:

💼 Sami Ullah Khan’s professional journey boasts a blend of teaching experiences. He commenced as an Internee Lecturer under the National Internship Program (NIP) at GDC Tajori, LakkiMarwat, where he gained valuable insights into pedagogy. Subsequently, he transitioned to a full-fledged role as a Lecturer of Mathematics at CUSIT Peshawar. With dedication and expertise, he has contributed six years and six months to City University Dalazak Road, Peshawar, nurturing young minds in the intricacies of mathematics. His commitment to education and continuous growth exemplifies his passion for shaping the future generation. 📊

 

Research Focus:

🔬 Sami Ullah Khan’s research focus spans the intricate realm of mathematical modeling, particularly in stochastic and deterministic systems. With a keen interest in epidemiology, he delves into the dynamics of infectious diseases like COVID-19 and pine wilt disease, employing spectral methods for analysis. Additionally, his expertise extends to finance, where he explores dynamic competition analysis and fractional differential equations. Through his contributions to journals like Expert Systems with Applications and Mathematics, Sami Ullah Khan showcases a dedication to unraveling complex phenomena, paving the way for advancements in understanding and prediction. His work embodies the fusion of mathematics and real-world applications, shedding light on critical scientific inquiries. 🌐

 

Publication Top Notes:

Unraveling pine wilt disease: Comparative study of stochastic and deterministic model using spectral method

Numerical Analysis of Stochastic SIRS Model Population Transfer from Infectious class to Susceptible class with Saturated Incidence Rate

Dynamics and simulation of stochastic COVID-19 model using higher-order numerical scheme

Stochastic Modeling of COVID-19 with the Impact of Vaccination Class, Using Higher-Order Spectral Scheme

A Dynamic Competition Analysis of Stochastic Fractional Differential Equation Arising in Finance via Pseudospectral Method

Dynamics of Stochastic Zika Virus with Treatment Class in Human Population via Spectral Method

Asymptotic Behavior of Three Connected Stochastic Delay Neoclassical Growth Systems Using Spectral Technique

On dynamics of stochastic avian influenza model with asymptomatic carrier using spectral method

Threshold of Stochastic SIRS Epidemic Model from Infectious to Susceptible Class with Saturated Incidence Rate Using Spectral Method

Analysis of stochastic delayed SIRS model with exponential birth and saturated incidence rate