Faculty

Name
Position

  • Asma Azizi Boroojeni

    Asma Azizi Boroojeni Assistant Professor of Mathematics

    asma aziziPosition:
    Assistant Professor of Mathematics

    Phone: (470) 578-7414
    Email: aazizi@kennesaw.edu
    Location: D 201


    Research Areas:

    Mathematical Modeling of Infectious Diseases, Agent Based Network Modeling with application to biology, epidemiology, and social science

    Brief research description: 

    I am an Applied Mathematician with a special interest in mathematical modeling and analysis of infectious diseases. I develop skillsets, focusing on developing, extending and analyzing models to understand spread of infections, and to guide public health workers improve strategies for mitigating the impact of these diseases. My main goal is using computer simulations, mathematical modeling, and data analysis to better predict the transmission dynamics, depending on epidemiological parameters for the transmission mechanism and on the complex heterogeneous mixing of agents involved in the transmission process. 

    Throughout my carrier, I try to foster my knowledge and experience via 

    • Developing Mathematical tools in infection transmission modeling,
    • collaborating with and informing public health community on understanding the infection spread and finding approaches to control them, and
    • training and engaging students in research at the interface of mathematics, biology and public health education.

    Currently I am Assistant Professor at Kennesaw State University (KSU), and am looking for undergraduate students interested in research experiences. A grade of B or above in a differential equations course (MATH 2306) is required. Contact me for more information.

  • Somayeh Mashayekhi

    Somayeh Mashayekhi Assistant Professor of Mathematics

    Dr. Somayeh MashayekhiPosition:
    Assistant Professor of Mathematics

    Phone: (470) 578-4992
    Email: smashay1@kennesaw.edu
    Location: MS 242


     

  • Philippe Sucosky

    Philippe Sucosky Associate Professor of Mechanical Engineering

    Dr. Philippe SucoskyPosition:
    Associate Professor of Mechanical Engineering

    Phone: (470) 578-3158
    Email: psucosky@kennesaw.edu
    Location: Q 103


    Research area:

    fluid mechanics, hemodynamics, cardiovascular flow, cardiovascular biomechanics, mechanobiology, cardiovascular disease, tissue and cell culture

    Brief research description:

    Prof. Sucosky's primary research interests are in the characterization of the native hemodynamics and the elucidation of the mechano-sensitive response in cardiovascular tissue and medical devices, with a particular focus on valvular, aortic and ventricular disorders. Current studies conducted in the Multi-Scale Cardiovascular Bioengineering Laboratory (MSCBL) include:

    • fluid-structure interactions in the aortic valve and their relationship to valvular calcification
    • flow abnormalities in bicuspid aortic valve aortas and their impact on aortopathy
    • flow in hemodialysis vascular access and its role in intimal hyperplasia pathogenesis
    • pediatric patient-specific evaluation of ventricular flow abnormalities and their relationship to discrete subaortic stenosis

    While these disorders have been studied for decades, the causality between hemodynamics and pathogenesis has never been rigorously established. Prof. Sucosky's laboratory has invested in the development of new approaches addressing the fluid mechanical and biological aspects of those disorders at the same level of depth, and is one of the few with such expertise.

     

  • Glenn Young

    Glenn Young Assistant Professor of Mathematics Co-founder of the Mathematical Biology group

    Dr. Glenn YoungPosition:
    Assistant Professor of Mathematics Co-founder of the Mathematical Biology group

    Phone: (470) 578-7235
    Email: gyoung19@kennesaw.edu
    Location: D 246


    Research area: 

    Theoretical ecology

    Brief research description:  

    I am an applied mathematician broadly interested in mathematical biology. My research focuses on the development and analysis of mathematical models that can be used to elucidate certain aspects of biological systems that are difficult to test empirically. I have worked on a diverse range of biological problems from evolutionary game theory, ecological competition, collective cellular behavior, epidemiology, and immunology by integrating and developing techniques from dynamical systems, stochastic analysis, ordinary differential equation (ODE) theory, partial differential equation (PDE) theory, perturbation theory, and numerical methods.

Contact

If you have any questions about this group, or if you would like to collaborate with or join the group, please do not hesitate to contact us at mathbio@kennesaw.edu

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