My research interests include mathematical biology and mathematical modeling.
Representative Publications and Presentations:
鈥淎n Investigation of Gene Regulatory Network State Space Variability,鈥 Liesman, Sara,
Akman, Olcay, Hrozencik, Daniel (2021). Spora: A Journal of Biomathematics: Vol. 7(1),
86 鈥 103.
鈥淐OVID-19 Mortality Prediction Using Machine Learning-Integrated Random Forest Algorithm
Under Varying Patient Frailty,鈥 Cornelius, Erwin, Akman, Olcay, Hrozencik, Daniel
(2021). Submitted to Mathematics (Special issue on Discrete and Algebraic Mathematical
Biology).
"A Study of COVID-19 Mortality Under Varying Patient Frailty,"Sifuentes, Alison; Akman,
Olcay; and Hrozencik, Daniel (2021) Spora: A Journal of Biomathematics: Vol. 7, 36鈥45.
Available
鈥淧aying Our Dues: The Role of Professional Societies in the Evolution of Mathematical
Biology Education,鈥 M. Greer, O. Akman, T. Comar, D. Hrozencik and J. Rubin. Bull
Math Biol 82, 59 (2020). Available
鈥淧athways to national reform of interdisciplinary learning across mathematics and
biology,鈥 Olcay Akman, Carrie Diaz Eaton*, Dan Hrozencik, Kristin Jenkins, Katerina
V. Thompson. Bull Math Biol 82, (2020)
Chapter 11 - Data Clustering and Self-Organizing Maps in Biology, Olcay Akman, Timothy
Comar, Daniel Hrozencik, Josselyn Gonzales, Editor(s): Raina Robeva, Matthew Macauley,
In MSE/Mathematics in Science and Engineering, Algebraic and Combinatorial Computational
Biology, Academic Press, 2019, Pages 351-374, ISBN 9780128140666. Available .
鈥淢odel Selection for Integrated Pest Management with Stochasticity,鈥 O. Akman, T.
Comar and D. Hrozencik. Journal of Theoretical Biology (2017). Available
An Investigation of Gene Regulatory Network State Space Variability, coauthored by
O. Akman, D. Hrozencik and S. Liesman, at the Thirteenth International Symposium on
BEER (Biomathematics and Ecology: Education and Research), November 13 -15, 2020.
"Comparison of Propensity and Spectral Density Approaches for Estimating Transition
Variability of Gene Regulatory Networks ," coauthored by O. Akman and D. Hrozencik,
at the Twelfth International Symposium on BEER (Biomathematics and Ecology: Education
and Research), University of Wisconsin Lacrosse, Lacrosse, WI, October 4 - 6, 2019.
鈥淔railty and Environmental effect in Compartmental Models,鈥 coauthored by O. Akman
and D. Hrozencik at the Cross-Institutional Undergraduate Research Experience (CURE),
Illinois State University, Normal, IL , June 2019.
鈥淥n the Implementation of Artificial Neural Networks For the Estimation of Gene Regulatory
Networks Propensities,鈥 coauthored by O. Akman and D. Hrozencik at the MAA-AMS Joint
Mathematics Meetings, Baltimore, MD, January 16 鈥 19, 2019.
鈥淥n the Implementation of Particle Swarm Optimization for Optimizing Artificial Neural
Networks in Gene Regulatory Network Propensity Estimation, 鈥 ,鈥 coauthored by O. Akman
and D. Hrozencik at the 11th Annual Symposium on BEER (Biomathematics and Ecology:
Education and Research), Arizona State University, Tempe, AZ, October 5 鈥 7, 2018.
鈥淥n the Implementation of Artificial Neural Networks for Estimation of Gene Regulatory
Network Propensities,鈥 coauthored by O. Akman and D. Hrozencik at the 11th Annual
Symposium on BEER (Biomathematics and Ecology: Education and Research), Arizona State
University, Tempe, AZ, Ocotber 5 鈥 7, 2018.