Muhammad Imran

Phd Scholar

  • Email:
    muhammad-imran@utulsa.edu, m.imran@gcu.edu.pk, m.imran4170@gmail.com
  • Cell:
    +1 9184086848

About me

I am Muhammad Imran, a dedicated Ph.D. scholar at the University of Tulsa with a strong passion for research, innovation, and academic excellence. My work focuses on computational mathematical epidemiology, where I aim to contribute impactful insights and practical solutions to pressing challenges in the field. With a solid academic foundation and hands-on experience in both research and collaborative projects, I strive to bridge theoretical knowledge with real-world applications. I am committed to advancing scientific understanding and actively engaging in scholarly activities that promote growth and innovation.

Skills

MATLAB
95%
MAPLE
95%
Python
85%
R
90%

My Experience

2023-present
The University of Tulsa, USA

Research Assistant

I joined the University of Tulsa in 2023 as a PhD student in the Tandy School of Computer Science. My responsibilities here are to complete my PhD courses and projects. My research projects include topics on mathematical and computational epidemiology. I designed and analyzed the effect of optimal control theory on epidemic models at both the cellular and individual levels in humans and animals.

2021-2023

Government College University Lahore, Pakistan

Lecturer

My responsibilities included teaching mathematical courses to the undergraduate students and conducting research in the field of mathematical modeling and optimal control analysis, specifically in the context of infectious diseases.

I was a part of an amazing research team and worked together with them to help design new mathematical models and control strategies to control the spread of infectious diseases, e.g., COVID-19, HBV, HIV/AIDS, lumpy skin disease, etc. We have completed the following projects, and many are in the pipeline:

  1. GRANT-KFU242721 (Annual Project, DSR, KFU), (01.12.2024 to 01.06.2025) SAR 15000
    Title: Analyzing HIV/AIDS dynamics with a novel Caputo-Fabrizio fractional order model and optimal control measures.
  2. GRANT4972 (Annual Project, DSR, KFU) (01.11.2023 to 01.05.2024) SAR 10000.
    Title: Mathematical and Stability Analysis of Dengue–Malaria Co-Infection with Disease Control Strategies.
  3. GRANT3995 (Annual Project, DSR, KFU), (01.05.2023 to 01.11.2023) SAR 10000.
    Title: Optimally analyzed fractional Coronavirus model with Atangana-Baleanu derivative.
  4. GRANT3716 (Annual Project, DSR, KFU), (01.05.2023 to 01.11.2023) SAR 10000
    Title: Computational analysis of control of hepatitis B virus disease through vaccination and treatment strategies.
  5. GRANT3291 (Annual Project, DSR, KFU), (01.11.2022 to 01.05.2023) SAR 15000
    Title: Design and analysis of a new COVID-19 model with comparative study of control strategies.
  6. GRANT2225 (Annual Project, DSR, KFU), (01.11.2022 to 01.05.2023) SAR 15000
    Title: Mathematical Study of Lumpy Skin Disease with Optimal Control Analysis through Vaccination.
  7. GRANT2486 (Annual Project, DSR, KFU), (01.11.2022 to 01.05.2023) SAR 10000
    Title: Theoretical Analysis of a COVID-19 CF-Fractional Model to Optimally Control the Spread of Pandemic
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