Jorge Sefair
Assistant Professor, School of Computing, Informatics and Decision Systems Engineering, Ira A. Fulton Schools of Engineering
School of Computing, Informatics, and Decision Systems Engineering
Arizona State University
699 S. Mill Avenue, Brickyard Engineering
Tempe, AZ 85281
Titles
- Senior Global Futures Scientist, Julie Ann Wrigley Global Futures Laboratory
- Assistant Professor, School of Computing, Informatics and Decision Systems Engineering, Ira A. Fulton Schools of Engineering
- Affiliate Faculty, School of Geographical Sciences and Urban Planning, College of Liberal Arts and Sciences
- Affiliate Faculty, Center for Biodiversity Outcomes, Global Institute of Sustainability and Innovation
Biography
Jorge A. Sefair is an assistant professor in the School of Computing, Informatics, and Decision Systems Engineering (CIDSE) at Arizona State University, where he also is a Senior Sustainability Scientist at the Global Institute of Sustainability and Innovation, and affiliate faculty at both the Simon A. Levin Mathematical, Computational, and Modeling Sciences Center (MCMSC) and the Center for Spatial Reasoning & Policy Analytics (CSRPA). Jorge is also a part of the Interdisciplinary Graduate Certificate Program in Transportation Systems at the School of Geographical Sciences and Urban Planning. Sefair holds a PhD degree in Industrial and Systems Engineering from the University of Florida (2015), and an MSc degree in Industrial Engineering (2008), BSc in Industrial Engineering (2006), and BA in Economics (2005) from Universidad de los Andes (Colombia). His research interests include network optimization, multistage optimization, and integer programming. In particular, he is motivated by applications of operations research in environmental planning, public policy, and urban planning. His research has been interdisciplinary, having published academic works with colleagues from a variety of fields, including civil engineering, public health, ecology, biology, and economics, in journals such as Networks, Journal of Applied Ecology, Naval Research Logistics, IISE Transactions, Omega, among others. Dr. Sefair’s research has been funded by the National Science Foundation and the Department of Homeland Security. During 2018-2019 he served as the Vice-chair for Network Optimization in INFORMS Optimization Society.
Education
- PhD, Industrial and Systems Engineering, University of Florida, 2015
- MSc, Industrial Engineering, Universidad de los Andes, Bogotá, Colombia, 2008
- BA, Economics, Universidad de los Andes, Bogotá, Colombia, 2006
- BSc, Industrial Engineering, Universidad de los Andes, Bogotá, Colombia, 2005
Expertise
Journal Articles
2015
Acevedo, M. A., J. A. Sefair, J. C. Smith, B. Reichert and R. J. Fletcher Jr. 2015. Conservation under certainty: Optimal network protection strategies for worst-case disturbance events. Journal of Applied Ecology 52(6):1588-1597. DOI: 10.1111/1365-2664.12532. (link )
2009
Castro-Lacouture, D., J. A. Sefair, L. Florez and A. L. Medaglia. 2009. Optimization model for the selection of materials using a LEED-based green building rating system in Columbia. Buildings and Environment 44(6):1162-1170. DOI: 10.1016/j.buildenv.2008.08.009. (link )
Medaglia, A. L. and J. A. Sefair. 2009. Optimizando la planeación en el sector público. EGOB: Revista de Asuntos Públicos 3:44-49.
Molano, A. M., A. L. Medaglia, O. L. Sarmiento and J. A. Sefair. 2009. Modelo de planeación de áreas urbanas para construir nuevos parques vecinales en Bogotá. Revista Planeación y Desarrollo 39(2):140-173.
2008
Medaglia, A. L., D. Hueth, J. C. Mendieta and J. A. Sefair. 2008. A multiobjective model for the selection and timing of public enterprise projects. Socio-Economic Planning Sciences 42(1):31-25. DOI: 10.1016/j.seps.2006.06.009. (link )
Book Chapters
2012
Sefair, J. A., A. Molano, A. L. Medaglia and O. L. Sarmiento. 2012. Locating neighborhood parks with a lexicographic multiobjective optimization method. Pp. 143-171 In: Johnson, M. ed., Community-Based Operations Research: Decision Modeling for Local Impact and Diverse Populations. Springer. DOI: 10.1007/978-1-4614-0806-2_6. ISBN: 978-1-4614-0806-2.