Shantia Yarahmadian | Mathematics | Best Researcher Award

Published on by Phenomenological Research Awards

Dr. Shantia Yarahmadian | Mathematics | Best Researcher Award 

Applied Mathematics at Mississippi State University | United States

Dr. Shantia Yarahmadian is an Associate Professor of Mathematics whose career bridges applied mathematics, biology, quantum computing, and engineering sciences. His professional journey reflects a strong dedication to interdisciplinary problem-solving, focusing on challenges that require innovative mathematical modeling. With extensive teaching, research, and mentoring experience, Dr. Shantia Yarahmadian has contributed significantly to advancing knowledge in mathematical biology, stochastic modeling, and computational sciences. His work has also extended into emerging fields such as quantum-resistant blockchain and artificial intelligence applications. He continues to shape the future of mathematics through impactful publications, editorial roles, and leadership in both academic and industry settings.

Profile:

Orcid | Google Shcolar

Education:

Dr. Shantia Yarahmadian’s academic foundation is firmly rooted in applied mathematics and engineering. He earned his Ph.D. in Applied Mathematics from Indiana University, where he developed expertise in nonlinear analysis and boundary layer theory. Before this, he completed a Master’s degree in Mathematics at Isfahan University of Technology, followed by a Bachelor’s degree in Electrical Engineering at the same institution. This progression from engineering fundamentals to advanced mathematical research equipped him with a versatile skill set, allowing him to navigate both theoretical frameworks and practical applications. His educational background laid the groundwork for his diverse research portfolio across mathematics, biology, and computing.

Experience:

Dr. Shantia Yarahmadian has held prominent academic and research positions across universities and industry. As Associate Professor at Mississippi State University, he has developed innovative teaching methods, supervised doctoral and master’s students, and advanced interdisciplinary collaborations. Previously, he served as Assistant Professor in the same department and undertook a Postdoctoral Fellowship in Biology, where he applied mathematical modeling to biomedical challenges. His earlier career included roles as Research Assistant and Associate Instructor, shaping his dual strengths in pedagogy and research. In addition to academia, he also contributes as an industry advisor in cyber security, emphasizing blockchain and quantum-safe technologies.

Research Interests:

Dr. Shantia Yarahmadian’s research spans multiple disciplines, unified by the application of mathematics to real-world problems. In mathematical biology, he models microtubules, tumor radiotherapy, and Alzheimer’s disease progression, contributing to healthcare innovation. His expertise in nonlinear partial differential equations and stochastic processes supports advanced simulations and predictive modeling. In signal processing, his work with wavelets and compressed sensing improves data analysis across engineering and biomedical applications. His contributions to quantum computing and quantum-resistant blockchain represent forward-thinking approaches to cybersecurity and data integrity. Dr. Shantia Yarahmadian’s research highlights the powerful role of mathematical modeling in solving pressing challenges in science and technology.

Awards and Honors:

Dr. Shantia Yarahmadian has received recognition for his excellence in research, teaching, and mentorship throughout his career. He has been honored with awards for outstanding graduate student mentorship and faculty contributions, demonstrating his dedication to fostering future scholars. His innovative research projects in mathematical biology and engineering applications have attracted competitive funding and institutional support. He has also received prestigious fellowships and teaching awards that highlight his dual strengths in research and education. These honors reflect his international reputation as a thought leader in applied mathematics and his commitment to advancing knowledge through impactful academic and professional service.

Publications:

Title: An Ito stochastic differential equations model for the dynamics of the MCF-7 breast cancer cell line treated by radiotherapy
Citation: 27
Year of Publication: 2016

Title: On the use of the genetic algorithm filter-based feature selection technique for satellite precipitation estimation
Citation: 26
Year of Publication: 2012

Title: On the use of a cluster ensemble cloud classification technique in satellite precipitation estimation
Citation: 22
Year of Publication: 2012

Title: Existence and stability of steady states of a reaction convection diffusion equation modeling microtubule formation
Citation: 20
Year of Publication: 2011

Title: The use of compressive sensing and peak detection in the reconstruction of microtubules length time series in the process of dynamic instability
Citation: 16
Year of Publication: 2015

Title: A Hybrid Differential Equations Model for the Dynamics of Single and Double Strand Breaks of Cancer Cells Treated by Radiotherapy: A Meaning for Tumor Life-Span
Citation: 14
Year of Publication: 2022

Title: A Mathematical Model for Amyloid-β Aggregation in the Presence of Metal Ions: A Timescale Analysis for the Progress of Alzheimer Disease
Citation: 14
Year of Publication: 2019

Conclusion:

Dr. Shantia Yarahmadian stands out as a distinguished scholar whose career demonstrates a perfect balance between research innovation, academic mentorship, and cross-disciplinary collaboration. His contributions to mathematical biology, stochastic modeling, quantum computing, and engineering highlight his versatility and forward-thinking approach. By bridging theoretical mathematics with applied sciences, he has produced insights that benefit healthcare, cybersecurity, and data science. His impactful publications, global collaborations, and record of mentorship illustrate a sustained commitment to advancing knowledge and training the next generation of researchers. Dr. Shantia Yarahmadian is an exceptional candidate for award recognition in mathematics and interdisciplinary research.

Muhammad Imran | Mathematics | Best Researcher Award

Published on by Phenomenological Research Awards

Assist. Prof. Dr.Muhammad Imran | Mathematics | Best Researcher Award

Assistant Professor at University of Education, Pakistan.

Dr. Muhammad Imran is a distinguished Pakistani mathematician and researcher specializing in fluid mechanics, nanofluid simulation, and magnetohydrodynamics (MHD). Born on April 15, 1989, in Rahim Yar Khan, Pakistan, he has demonstrated a consistent academic and professional trajectory that reflects his dedication to advancing applied mathematics. With over a decade of experience in both teaching and high-impact research, Dr. Imran has carved a notable niche in the mathematical modeling of complex physical systems, particularly oscillatory and curved geometries.

Profile:

Educational Background:

Dr. Imran holds a Ph.D. in Applied Mathematics (Fluid Mechanics) from The Islamia University of Bahawalpur, which he completed in 2021. His doctoral thesis focused on the analysis of fluid motion due to curved oscillatory geometries. He earned his M.Phil. in 2017 and M.Sc. in 2014 from the same institution, specializing in applied mathematics, with a strong emphasis on non-Newtonian fluids and convective heat transfer. His academic journey began with a B.Sc. degree in Mathematics and Physics in 2012.

💼 Professional Experience:

Dr. Muhammad Imran has accumulated over a decade of progressive academic and teaching experience, beginning his career in the public education sector and evolving into a university-level academician. Currently, he serves as an Assistant Professor (TTS) at the University of Education, Lahore – Vehari Campus, a position he has held since January 2023. In this role, he teaches a range of undergraduate and postgraduate courses in applied mathematics, supervises theses, and leads research in fluid dynamics and computational modeling.Prior to his current post, Dr. Imran briefly worked as a Visiting Assistant Professor at the National College of Business Administration & Economics, Rahim Yar Khan Campus, from September to December 2022, where he contributed to the development of advanced mathematical curricula.From April 2015 to December 2022, he served as a Secondary School Educator (SSE-Math) under the Punjab School Education Department, where he played a key role in mathematics instruction at the secondary level, mentoring young learners and preparing them for higher education in STEM fields.He also worked as a Visiting Lecturer at MTB College, Sadiq Abad, during 2016–2017, where he taught foundational and applied mathematical subjects. His cumulative experience demonstrates a well-rounded commitment to both academic excellence and student development, across both secondary and higher education settings.

🧪 Research Interests:

Dr. Imran’s research is deeply rooted in fluid mechanics, focusing on both Newtonian and non-Newtonian fluids, nano and hybrid nanofluid dynamics, heat and mass transfer, MHD, and computational techniques such as the Keller Box and Shooting Methods. He explores flow behavior over curved, stretchable, and oscillatory surfaces with physical applications in engineering and materials science. His work also incorporates advanced entropy analysis, gyrotactic microorganism modeling, and modified thermal conduction theories.

🧠 Reviewer & Editorial Contributions:

As a committed academic, Dr. Imran actively contributes to the peer-review process for top-tier journals such as PLOS ONE, Heat Transfer, Journal of the Brazilian Society of Mechanical Sciences and Engineering, and Journal of King Saud University–Science. His role as a reviewer highlights his expertise and recognition in the global research community.

🌍 Conferences & Engagements:

He has participated in national and international mathematics conferences, such as the International Conference on Recent Developments in Fluid Mechanics and Recent Advances in Mathematics, organized by The Islamia University of Bahawalpur and University of Education. His presentations often focus on magnetized nanofluid flows, curved geometry analysis, and entropy-related optimization.

Academic Mentorship:

Currently serving as an Assistant Professor (TTS) at the University of Education, Lahore (Vehari Campus), Dr. Imran has taught a variety of undergraduate and postgraduate mathematics courses, including Fluid Dynamics, Differential Equations, Group Theory, and Vector Analysis. He has supervised over 20 B.S. theses and 10 M.S. theses, focusing on real-world applications of fluid dynamics, particularly in nanofluids and reactive flows.

Publication:

  1. Imran, M., Naveed, M., Iftikhar, B., & Abbas, Z. (2023). Heat transfer analysis in a curvilinear flow of hybrid nanoliquid across a curved oscillatory stretched surface with nonlinear thermal radiation. ZAMM – Zeitschrift für Angewandte Mathematik und Mechanik, 103(11), e202200600. https://doi.org/[Insert DOI if available]
    Cited by: 16

  2. Imran, M., Naveed, M., & Abbas, Z. (2024). Analysis of thermophoretic and Brownian diffusions in hydromagnetic curvilinear flow of Carreau nanofluid with activation energy and heat generation. Results in Engineering. [In Press]
    Cited by: [To be updated]

  3. Imran, M., Naveed, M., & Rasheed, M. W. (2025). Analysis of heat transfer in magnetized Williamson fluid over a porous curved oscillating surface: Entropy Generation. International Journal of Geometric Methods in Modern Physics, [In Press]
    Cited by: [To be updated]

  4. Imran, M., Naveed, M., Rafiq, M. Y., & Abbas, Z. (2025). Swimming of gyrotactic microorganisms in curvilinear flow of nanofluid in a curved oscillatory channel with Cattaneo-Christov double diffusion theory. Chinese Physics B, [In Press]
    Cited by: [To be updated]

  5. Imran, M., Naveed, M., & Khadim, M. F. (2025). Dynamics of chemical reactions and temperature-dependent thermal conductivity in a viscous fluid over an oscillating curved surface. Science Progress, 108(2), 00368504251343498.
    Cited by: [To be updated]

  6. Imran, M., Naveed, M., & Abbas, Z. (2021). Flow of Eyring-Powell liquid due to oscillatory stretchable curved sheet with modified Fourier and Fick’s model. Applied Mathematics and Mechanics (English Edition), 42(10), 1461–1478.
    Cited by: [Check database]

  7. Imran, M., Naveed, M., & Abbas, Z. (2021). Impact of Joule heating and melting on time-dependent flow of nanoparticles due to an oscillatory stretchable curved wall with heat generation. Alexandria Engineering Journal, 60(4), 4097–4113.
    Cited by: [Check database]

  8. Imran, M., Abbas, Z., & Naveed, M. (2019). Hydromagnetic flow of a Carreau fluid in a curved channel with nonlinear thermal radiation. Thermal Science, 23(6), 3379–3390.
    Cited by: [Check database]