Tahmineh Azizi| Applied Mathematics| Best Researcher Award

Dr. Tahmineh Azizi| Applied Mathematics| Best Researcher Award

 Profiles

Google Scholar

Research Gate

📚 Education, Research, and Work Experience

Faculty of Mathematics, Grand Canyon University
Spring 2024 – Present
Mathematics and Engineering

Faculty of Biostatistics, University of Missouri-St. Louis
Spring 2024
Department of Biology

Research Associate, University of Wisconsin-Madison
Aug 2022 – Aug 2023
Department of Biostatistics and Medical Informatics, School of Medicine and Public Health

Post-Doctoral Scholar | Research Scientist, Florida State University
Aug 2021 – Aug 2022
Aero-Propulsion, Mechatronics and Energy Center AME (FAMU | FSU)
Department of Mechanical Engineering

PhD, Kansas State University, Applied Mathematics
2017 – Aug 2021
Institute of Computational Comparative Medicine (ICCM) 2017 – 2020
Department of Anatomy and Physiology (A&P), Graduate Research Assistant
Department of Mathematics, Graduate Teaching Assistant 2020 – 2021
Dissertation Title: Mathematical modeling with applications in biological systems, physiology, and neuroscience

Instructor, Payam-E-Noor University, Isfahan, Iran
2014 – 2016

MS, Isfahan University of Technology, Applied Mathematics
2011 – 2013
Differential Equations and Dynamical Systems

🧠 Research Experience

Brain Segmentation, ROI analysis and Kinetic modeling / PET/CT & PET/MR Registration and Normalization. Computational Anatomy (CA) and Shape Analysis (SA). Optimal Transport and Smoothed Statistical Distance / Smoothing irregularity in high dimension via convolution with a Gaussian and Wasserstein kernel. Bayesian and Gaussian Regression Analysis for noisy and sparse data. Computational neuroscience / Neural bursting, spiking, studying neurodegenerative diseases such as Alzheimer disease (AD), Parkinson disease (PD), Huntington’s disease (HD), amyotrophic lateral sclerosis (ALS) through fMRI image, brain signals. Multiscale modeling / Homogenization in biomechanics. Uncertainty quantification and sensitivity analysis. Fractal geometry theory and fractional order systems.

💡 Funded Grants and In-Progress Proposals

Running head: “Application of topological and computational methods in analyzing Neural Systems”. Research Proposal: “Innovative Approaches to Science and Engineering Research on Brain Function” in Progress. Johnson Cancer Research Center (JCRC) Grant Award, $6,371 2020. Running head: Effectiveness of Online Teaching Model in Progress. Research Proposal: Evaluating the Effectiveness of MATH-K-STATE-Online teaching program Compare to Traditional Classroom Instruction

🏆 Nationally Recognized Awards for Excellence

NSF-supported project Award, contributing significantly to the following NSF-supported project: Topology, Partial Differential Equations, and Applications to Network Security and Biology 2020

🥇 Honors, Awards, and Scholarships

“International Academic Achievements and Awards” under the category of “Excellence in Research” 2024. National Science Foundation (NSF) Grant Award, AMS 2024. National Science Foundation (NSF) Grant Award, AWM 2023. National Science Foundation (NSF) Travel Grant, AIMS 2023. International Research Awards on Mechanics of Functional Materials and Structures, “Best Researcher Award” 2023. International Research Awards on Mathematics and Optimization Methods, “Best Researcher Award”, MATHEMATICS 2023. International Research Award, “Women Researcher Award”, Netherlands 2023. Selected as “Distinguished speaker” for the 3rd International Conference on Future of Preventive Medicine and Public Health 2023

📚 Fellowships, Teaching, Advising, and Mentoring Program

From 2022 to 2023, I participated in the Teaching, Advising, and Mentoring program at the Entheon Institute. In 2022, I continued my involvement in a similar capacity at the JEI Learning Center of Coppell in Coppell, Texas. During the summer of 2021, I was part of the Summer Mentoring Program at the UFM Community Learning Center, where I mentored students at Manhattan High School.

Additionally, from 2020 to 2021, I was awarded the Science Communication Fellowship, working with the Sunset Zoo in Manhattan, Kansas. My efforts extended to Zoo Sprouts and Science MHK, both accredited by the Association of Zoos and Aquariums (AZA). I also collaborated with the Kansas Science Communication Initiative (KSCI) and the Kansas Association for Conservation and Environmental Education (KACEE).

Publications

Biomimetic natural killer membrane camouflaged polymeric nanoparticle for targeted bioimaging

A Pitchaimani, TDT Nguyen, R Marasini, A Eliyapura, T Azizi, …

Advanced Functional Materials 29 (4), 1806817

Modeling gold nanoparticle biodistribution after arterial infusion into perfused tissue: Effects of surface coating, size and protein corona

JE Riviere, M Jaberi-Douraki, J Lillich, T Azizi, H Joo, K Choi, R Thakkar, …

Nanotoxicology 12 (10), 1093-1112

On the fractal geometry of gait dynamics in different neuro-degenerative diseases

T Azizi

Physics in Medicine 14, 100050

Chaos synchronization in discrete-time dynamical systems with application in population dynamics

T Azizi, G Kerr

Journal of Applied Mathematics and Physics 8 (03), 406

Measuring fractal dynamics of FECG signals to determine the complexity of fetal heart rate

T Azizi

Chaos, Solitons & Fractals: X 9, 100083

Synchronized cycles of generalized Nicholson-Bailey model

T Azizi, G Kerr

American Journal of Computational Mathematics 10 (01), 147

Global sensitivity analysis in physiological systems

T Azizi, R Mugabi

Applied Mathematics 11 (3), 119-136

Dynamics of a discrete-time plant-herbivore model

T Azizi

Caspian Journal of Mathematical Sciences (CJMS) 4 (2), 241-256

On the fractal geometry of different heart rhythms

T Azizi

Chaos, Solitons & Fractals: X 9, 100085

The Fractal Nature of Drought: Power Laws and Fractal Complexity of Arizona Drought

S Azizi, T Azizi

European Journal of Mathematical Analysis 2

Mathematical modeling with applications in biological systems, physiology, and neuroscience

T Azizi

Kansas State University

Mathematical Modeling of Stress Using Fractal Geometry; The Power Laws and Fractal Complexity of Stress

T Azizi

Advances in Neurology and Neuroscience