Associate Professor Franklin & Marshall College, Lancaster, PA 2018-present
Department of Mathematics
Assistant Professor Franklin & Marshall College, Lancaster, PA 2012-2018
Department of Mathematics
Statistician III Battelle Memorial Institute, Columbus, OH 2010-2012
Ph. D. in Statistics The Ohio State University, Columbus, OH 2010
B. A. in Philosophy Millersville University, Millersville, PA 2003
B. S. in Mathematics Millersville University, Millersville, PA 2003
Minor in Computer Science
Ibañez, S., Luebke, J. I., Chang, W., Draguljic, D., and Weaver, C. W., “Network models predict that pyramidal neuron hyperexcitability and synapse loss in the dlPFC lead to age-related spatial working memory impariment in rhesus monkeys”, Frontiers in Computational Neuroscience, Vol. 13, 2020, DOI: 10.3389/fncom.2019.00089.
Dicklitch-Nelson, S., Thompson Buckland, S., Yost, B. and Draguljic, D., “From persecutors to protectors: Human rights and the global barometer of gay rights (GBGR)”, Journal of Human Rights, Vol. 18, Iss. 1, pp. 1-18, 2019. (link)
Gotsch, S. G., Dawson, T. E., and Draguljic, D., “Variation in the resilience of cloud forest vascular epiphytes to severe drought”, New Phytologist, Vol. 219, Iss. 3, pp. 900-913, 2018. (link)
Gotsch, S. G., Draguljic, D., and Williams, C. J., “Evaluating the effectiveness of urban trees to mitigate storm water runoff via transpiration and stemflow", Urban Ecosystems, Vol. 21, Iss. 1, pp. 183-195, 2018. (link)
Gotsch, S. G., Davidson, K., Murray, J., Duarte, V., and Draguljic, D., “Epiphyte abundance predicts vapor pressure deficit across an elevational gradient in a tropical montane region”, American Journal of Botany, Vol. 104, Iss. 12, pp. 1790-1801, 2017. (link)
Rumbell, T. H., Draguljić, D., Yadav, A., Hof, P. R., Luebke, J. I. and Weaver, C. M., “Automated evolutionary optimization of ion channel conductances and kinetics in models of young and aged rhesus monkey pyramidal neurons”, J. of Computational Neuroscience, Vol. 41, Iss. 1, pp. 65-90, 2016. (link)
Darby, A., Draguljic, D., Glunk, A., and Gotsch, S. G., “Habitat moisture is an important driver of patterns of sap flow and water balance in tropical montane cloud forest epiphytes”, Oecologia, Vol. 182, Iss. 2, pp. 357-371, 2016. (link)
Draguljic, D., Nekkanty, S., Dean, A. M., Santner, T. J. and Shivpuri, R., “Optimizing thin film tool coatings using a finite element computer simulator”, Quality Engineering, Vol. 27, Iss. 4, pp. 461-472, 2015. (link)
Draguljic, D., Woods, D. C., Dean, A. M., Lewis, S. M. and Vine, A. E., “Screening strategies in the presence of interactions”, Technometrics, Vol. 56, Iss. 1, pp. 1-28, 2014. (link)
With discussion from C. M. Anderson-Cook, M. S. Hamada, W. A. Brenneman, W. Li, J. Zhu, P. R. Scinto, R. G. Wilkinson, Z. Wang, and A. Rose.
Awarded 2015 Youden Award for best expository paper appearing in the 2014 issues of Technometrics.
Draguljic, D., Dean, A. M. and Santner, T. J., “Noncollapsing Space-Filling Designs for Bounded Nonrectangular Regions”, Technometrics, Vol. 54, pp. 169-178, 2012. (link)
Carlton, M., Gillespie, R., Garver, J., Draguljic, D. and Vela, E. M., “The Syrian golden hamster as a model study to Flexal virus pathogenesis”, Archives of Clinical Microbiology, Vol. 3, No. 2:2, 2012. (link)
Georgiou, S. D., Draguljic, D. and Dean, A. M., “An overview of two-level supersaturated designs with cyclic structure”, Journal of Statistical Theory and Practice, Vol. 3, pp. 489-504, 2009. (link)
ChengCheng Zhai ('18, Hackman Scholar) and I are developing R software that performs variable selection in mixed models. The variable selection is performed with respect to fixed terms while preserving effect hierarchy (these include main effects, interactions between main effects, and polynomial terms).
- The current R package can be downloaded below. Before you install the package in R, please remove the .txt extension.
- An example and a very brief description of the features can be found here.
I developed R software to implement CoNcaD algorithm from Draguljic, Dean, and Santner (2012). The algorithm constructs constrained noncollapsing designs suitable for computer experiments.
- The R package can be downladed below. Before you install the package in R, please remove the .txt extension.
- An example of how to install the package and use the code can be found here.
- MAT215: Introduction to Statistical Modeling
- MAT416: Design and Analysis of Experiments
- MAT109: Calculus I (F12, F13)
- MAT110: Calculus II (F14, F16, S18)
- MAT215: Introduction to Statistical Modeling (S15, S16, S17, F17, F18)
- MAT216: Probability and Statistics I (many times since 2012)
- MAT316: Probability and Statistics II (S13, S15, S18, S19, S20, S21, S22)
- MAT370: Introduction to Statistical Learning (F14, S17, S20)
- MAT416: Design and Analysis of Experiments (F16, F18, F20)
- MAT470: Neural Networks (S20)