Associate Professor
Campus Box 7405
, 1320 Varsity
Raleigh, NC 27695
almila@ncsu.edu
Tel: (919) 513-1291
Fax: (919) 515-8795
Education
Certificate in Data Science, UC-Irvine, June 2014-August 2015
Ph. D. in Plant Pathology (major), Statistics (minor) and Resource Economics (minor), December 2002, Iowa State University, Ames, IA, USA.
Dpl. in Agricultural Economics (Honors), July 1998, Agricultural University of Athens, Athens, Greece.
Dpl. in Plant Production, major Plant Protection and Environment, September 1996, Agricultural University of Athens, Athens, Greece.
Teaching
Graduate level
P506 Plant Disease Epidemiology and Management, core course for Plant Pathology graduate students, 2015- present
PP 502 Plant Disease Methods, core course for Plant Pathology graduate students, 2011-2014
PP790 Translational Plant Pathology, spring 2011
CS 062 Tobacco Production course, Guest Lectures
Selected Publications
S. Savary, A. L. Mila, Willocquet, P.D. Esker, O. Carisse, N. McRoberts. 2011. Global change, agricultural shifts, and risk factors for rice health. Phytopathology 101:696-709. (Senior Editor’s pick: May 2011)
K. Cherry, and A.L. Mila. 2011. Temporal progress and control of tomato spotted wilt virus in tobacco. Crop Protection 30:539-546.
A.L. Mila. 2011. Explaining tomato spotted wilt virus losses on tobacco with winter weather variables: A Bayesian approach. Phytopathology 101:462-469.
A.L. Mila, and H.K. Ngugi. 2011. A Bayesian approach to meta-analysis of plant pathology studies. Phytopathology 101:42-51.
A.L. Mila, and X.B. Yang. 2008. Effects of fluctuating soil temperature and water potential on sclerotia germination and apothecial production of Sclerotinia sclerotiorum. Plant Dis. 92:78-82.
A.L. Mila and T.J. Michailides. 2006. Evaluation and update of a prediction system for panicle and shoot blight of pistachio in California with Bayesian methods. Phytopathology 96:1142-1147.
A.L. Mila, Driever, G. F. Morgan, D.P. and Michailides, T.J. 2005. Effects of latent infection, temperature, and precipitation pattern and irrigation on panicle and shoot blight progress in pistachio orchards. Phytopathology 95:926-932.
A.L. Mila, and Carriquiry A. L. 2004. Bayesian analysis in plant pathology. Phytopathology 94:1027-1030.
A.L. Mila, Carriquiry, A. L. and Yang, X.B. 2004. Modeling the prevalence of Sclerotinia stem rot of soybeans in the North Central region of the United States. Phytopathology 94:102-110.
A.L. Mila, Zhao, J., Carriquiry, A.L., and Yang, X.B. 2003. Impact of management practices on Sclerotinia Stem Rot prevalence in the North Central Region of the United States and Farmers’ Decision under Uncertainty. Plant Dis. 87:1048-1058.
A.L. Mila, Yang, X.B., and Carriquiry A. L. 2003. Bayesian Logistic Regression of Soybean Sclerotinia Stem Rot Prevalence in the U.S. North-Central Region: Accounting for Uncertainty in Parameter Estimation. Phytopathology 93:758-764.
Book chapters
Yuen and A.L. Mila. 2015. Landscape Epidemiology, Annual Review of Phytopathology.
J. Yuen, and A.L Mila. 2014. Chapter 28, Epidemiology Exercises, APS press.
A.L Mila, and J. Yuen. 2014. Chapter 29, Epidemiology Exercises, APS press.
J. Yuen, and A.L. Mila. 2004. Are Bayesian approaches useful in plant pathology? Kluwer Publishers, Netherlands.