Bio
In 1997, Dr. Mikler joined the Department of Computer Science at the University of North Texas. With the help of four courageous undergraduate students, he established the Network Research Laboratory (NRL), and with it, UNT's first Beowulf Cluster to facilitate complex simulations in support of the group's research on Computer Network Protocols and Distributed Systems. In 2004, Dr. Mikler started to gradually move into a new field of research, which was motivated by the need to facilitate advances in the field of Public Health and Epidemiology through computational methods. He established the Computational Epidemiology Research Laboratory (CERL) with focus on the development of computational methodology to model and simulate the spread of diseases. Together with Dr. Sam Atkinson (Biology) and Dr. Joseph Oppong (Geography), Dr. Mikler established the truly interdisciplinary Center for Computational Epidemiology and Response Analysis (CeCERA) after receiving federal funds from the US Department of Health and Human Services.
Education
Ph.D., Iowa State University, 1995
M.S., Iowa State University, 1990
Diplom-Informatiker, Fachhochschule (Darmstadt, Germany), 1988
Courses
BIOL/CSCE 4810: BioComputing
BIOL/CSCE 4820/5820: Computational Epidemiology
BIOL 5005: Topics in Biology
BIOL 6810: Advanced Topics in Computational Life Science
CSCE 3850: Introduction to Computational Life Science
CSCE 4600: Introduction to Operating Systems
CSCE 6680: Advanced Distributed Computing
MATH 5700: Selected Topics in Contemporary Mathematics
Selected Publications
Corley, C.D., Mihalcea, R., Mikler, A.R., & Sanfilippo, A.P. (2011). Individual affect of health interventions to reduce HPV prevalence. Advances in Experimental Medicine and Biology, 696(1).
Corley, C.D., Cook, D.J., Mikler, A.R., & Singh, K.P. (2011). Using web and social media for surveillance. Advances in Experimental Medicine and Biology, 680(1): 559-564.
Jimenez, T., Mikler, A.R., & Tiwari, C. (2011) A novel space partitioning algorithm to improve current practices in facility placement. IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans, PP(99): 1-12.
More Articles
Reyes-Silveyra, J., Mikler, A.R., Zhao, J., & Bravo-Salgado, A. (2011). Modeling infectious disease outbreaks in non-homogenous populations. Journal of Biological Systems, 19(4): 591-606.
Johnson, T.V. & Mikler, A.R. (2011). Chasing R0: Understanding the effects of populations’ dynamics on the basic reproduction number. Journal of Biological Systems, 19(4): 577-589.
Schneider, T., & Mikler, A.R. (2010). RE-PLAN: A computational framework for response plan analysis. International Journal of Functional Informatics and Personalized Medicine, 3(2): 103-121.
Corley, C.D., Cook, D.J., Mikler, A.R., & Singh, K.P. (2010). Text and structural data mining of influenza mentions in web and social media. International Journal of Environmental Research Public Health, 7(2): 596-615.
Hala, D., Amin, A., Mikler, A.R., & Huggett, D.B. (2010). A constraint-based stoichiometric model of the steroidogenic network of zebrafish (danio rerio). Journal of Biological Systems, 18(3): 669.
Selected Conference Presentations
O'Neill II, M.O., Mikler, A.R., Schneider, T. (2011, July). An Extensible Software Architecture to Facilitate Disaster Response Planning. Proceedings of the 2011 International Conference on Bioinformatics and Computational Biology, Las Vegas.
Johnson, T., & Mikler, A.R. (2009). The Elusive R_0 - Chasing the Reproductive Number. Presented at the International Conference on Bioinformatics and Computational Biology, Las Vegas.
Schneider, T., Mikler, A.R., & O'Neill, M. (2009, August). Analyzing Response Feasibility for Bioemergencies. Presented at the International Joint Conferences on System Biology, Bioinformatics and Intelligent Computing, Shanghai, China.
More Presentations
Corley, C.D., Mikler, A.R., Singh, K.P., & Cook, D.J. (2009). Monitoring Influenza Trends through Mining Social Media. Presented at the International Conference on Bioinformatics and Computational Biology, Las Vegas.
Corley, C.D., & Mikler, A.R. (2009). A Discrete-Time Epidemic Model to Analyze Impact of Age and Gender Targeted Interventions. Presented at the International Conference on Bioinformatics and Computational Biology, Las Vegas.
Schneider, T., Loza, O.G., & Mikler, A.R. (2009). Computational Epidemiology: Generating Synthetic Cities. Presented at the International Conference on Information and Knowledge Engineering, Las Vegas.
