Contact Information Phone: (773) 995-2228 Email: dhrozenc@csu.edu Office: HWH - Room 246

Education Ph.D., University of Notre Dame, 1988 M.S., University of Notre Dame, 1985 B.A., Knox College, 1983

 

Research

My research interests include mathematical biology and mathematical modeling.

Representative Publications and Presentations:

• “An Investigation of Gene Regulatory Network State Space Variability,” Liesman, Sara, Akman, Olcay, Hrozencik, Daniel (2021). Spora: A Journal of Biomathematics: Vol. 7(1), 86 – 103.
• “COVID-19 Mortality Prediction Using Machine Learning-Integrated Random Forest Algorithm Under Varying Patient Frailty,” 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, 36–45. Available here.
• “Paying Our Dues: The Role of Professional Societies in the Evolution of Mathematical Biology Education,” M. Greer, O. Akman, T. Comar, D. Hrozencik and J. Rubin. Bull Math Biol 82, 59 (2020). Available here.
• “Pathways to national reform of interdisciplinary learning across mathematics and biology,” 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 here.
• “Model Selection for Integrated Pest Management with Stochasticity,” O. Akman, T. Comar and D. Hrozencik. Journal of Theoretical Biology (2017). Available here.
• 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.
• “Frailty and Environmental effect in Compartmental Models,” coauthored by O. Akman and D. Hrozencik at the Cross-Institutional Undergraduate Research Experience (CURE), Illinois State University, Normal, IL , June 2019.
• “On the Implementation of Artificial Neural Networks For the Estimation of Gene Regulatory Networks Propensities,” coauthored by O. Akman and D. Hrozencik at the MAA-AMS Joint Mathematics Meetings, Baltimore, MD, January 16 – 19, 2019.
• “On the Implementation of Particle Swarm Optimization for Optimizing Artificial Neural Networks in Gene Regulatory Network Propensity Estimation, “ ,” 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 – 7, 2018.
• “On the Implementation of Artificial Neural Networks for Estimation of Gene Regulatory Network Propensities,” 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 – 7, 2018.

 

Professional Memberships:

• Intercollegiate Biomathematics Alliance
• American Mathematical Society
• Society for Mathematical Biology
• Phi Beta Kappa

Hobbies, Interests:
Tennis, Chess, Reading

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