George Deodatis

Civil Engineering

George Deodatis uses probabilistic methods for the study of civil infrastructure systems subjected to natural and technological hazards. He uses the results to determine the reliability and safety of structures and in risk assessment and management. 

  • Research associate, Princeton University, 1988–1991
  • Postdoctoral research scientist, Columbia University, 1987–1988
  • Chair of Civil Engineering and Engineering Mechanics, Columbia University, 2013–2019
  • Santiago and Robertina Calatrava Family Professor, Columbia University, 2007–
  • Professor, Columbia University, 2002–2007
  • Associate professor, Columbia University, 2002
  • Director, program in mechanics, materials & structures, Princeton University, 1997–1999
  • Associate professor (with tenure), Princeton University, 1997–2001
  • Assistant professor, Princeton University, 1991-1997
  • American Society of Civil Engineers
  • International Association for Structural Safety and Reliability
  • Engineering Mechanics Institute of the American Society of Civil Engineers, Fellow, 2014.
  • Society of Columbia Graduates Great Teacher Award, 2011.
  • Columbia University’s Presidential Award for Outstanding Teaching, 2009.
  • Columbia University’s Engineering School Alumni Association Distinguished Faculty Teaching Award, 2003.
  • Princeton University's E-Council Lifetime Achievement Award for Excellence in Teaching, 2001.
  • American Society of Civil Engineers Walter Huber Civil Engineering Research Prize, 1998.
  • Educator of the Year, American Society of Civil Engineers, New Jersey Section, 1999.
  • International Association for Structural Safety & Reliability Junior Research Prize, 1997.
  • Princeton University's President's Award for Distinguished Teaching, 1995.
  • National Science Foundation Young Investigator Award, 1992.

 

 

  • Shinozuka, M. and Deodatis, G. (1991). “Simulation of Stochastic Processes by Spectral Representation,” Applied Mechanics Reviews, ASME, Vol. 44, No. 4, pp. 191-204.
  • Deodatis, G. (1996). “Non-Stationary Stochastic Vector Processes: Seismic Ground Motion Applications,” Probabilistic Engineering Mechanics, Vol. 11, No. 3, pp. 149-167.
  • Deodatis, G. (1996). “Simulation of Ergodic Multi-Variate Stochastic Processes,” Journal of Engineering Mechanics, ASCE, Vol. 122, No. 8, pp. 778-787.
  • Popescu, R., Prevost, J.H. and Deodatis, G. (1997). “Effects of Spatial Variability on Soil Liquefaction: Some Design Recommendations,” Geotechnique, Vol. XLVII, No. 5, pp. 1019-1036.
  • Graham, L. and Deodatis, G. (2001). “Response and Eigenvalue Analysis of Stochastic Finite Element Systems with Multiple Correlated Material and Geometric Properties,” Probabilistic Engineering Mechanics, Vol. 16, No. 1, pp. 11-29.
  • Arwade, S. and Deodatis, G. (2011). “Variability Response Functions for Effective Material Properties,” Probabilistic Engineering Mechanics, Vol. 26, No. 2, pp. 174-181.
  • Shields, M.D., Deodatis, G. and Bocchini, P. (2011). “A Simple and Efficient Methodology to Approximate a General Non-Gaussian Stationary Stochastic Process by a Translation Process,” Probabilistic Engineering Mechanics, Vol. 26, No. 4, pp. 511-519.
  • Jacob, K., Deodatis, G., Atlas, J., Whitcomb, M., Lopeman, M., Markogiannaki, O., Kennett, Z., Morla, A., Leichenko, R. and Vancura, P. (2011). “Responding to Climate Change in New York State: The ClimAID Integrated Assessment for Effective Climate Change Adaptation in New York State: Transportation,” Annals of the New York Academy of Sciences, Vol. 1244, No. 1, pp. 299-362.
  • Teferra, K. and Deodatis, G. (2012). “Variability Response Functions for Beams with Nonlinear Constitutive Laws,” Probabilistic Engineering Mechanics, Vol. 29, pp. 139-148.
  • Miranda, M. and Deodatis, G. (2012). “Generalized Variability Response Functions for Beam Structures with Stochastic Parameters,” Journal of Engineering Mechanics, ASCE, Vol. 138, No. 9, pp. 1165-1185.
  • Lopeman, M., Deodatis, G., and Franco, G.  (2015). “Extreme Storm Surge Hazard Estimation in Lower Manhattan: Clustered Separated Peaks-Over-Threshold Simulation (CSPS) Method,” Natural Hazards, Vol. 78, pp. 355-391.