Biography

Halil Ceylan

Iowa State University, Ames, Iowa, USA

Pavement Research Engineer at Institute for Transportation (InTrans)

Director, Program for Sustainable Pavement Engineering and Research (PROSPER)

Associate Professor of Civil, Construction and Environmental Engineering (CCEE)


Email: hceylan@iastate.edu


Education

2002 Ph.D., University of Illinois at Urbana-Champaign, Urbana, Illinois, USA, Civil Engineering

1995 M.S., University of Illinois at Urbana-Champaign, Urbana, Illinois, USA, Civil Engineering

1993 M.S., Dokuz Eylul University, Izmir, Turkey, Civil Engineering

1989 B.S., Dokuz Eylul University, Izmir, Turkey, Civil Engineering


Publications (Selected)

  1. eylan, H.and Gopalakrishnan, K. (2014), Finite Element Based Hybrid Evolutionary Optimization Approach to Solving Rigid Pavement Inversion Problem, Engineering with Computers Journal, Springer-Verlag London Limited, Vol. 30, Issue 1, pp. 1-13, DOI: 10.1007/s00366-012-0281-y. (http://link.springer.com/article/10.1007%2Fs00366-012-0281-y).
  2. Ceylan, H., Gopalakrishnan, K., Kim, S., Schwartz, C. W., and Li, R. (2013), Global Sensitivity Analysis of Jointed Plain Concrete Pavement Mechanistic-Empirical Performance Predictions, Transportation Research Record, Journal of the Transportation Research Board, No. 2367, pp. 113–122.
  3. Na, H., Lee, S-Y., Ustundag, E., Ross, S. L.,Ceylan, H., Gopalakrishnan, K. (2013), Development of a Neural Network Simulator for Studying the Constitutive Behavior of Structural Composite Materials, Journal of ISRN Materials Science, DOI: 10.1155/2013/147086, Vol. 2013, Article ID 147086, 10 pages.
  4. Gopalakrishnan, K., Agrawal, A.,Ceylan, H., Kim, S., and Choudhary, A. (2013), Knowledge Discovery and Data Mining in Pavement Inverse Analysis, Transport, Vol. 28(1), pp. 1-10.
  5. Ceylan, H., Gopalakrishnan, K., and Lytton, R. (2011), Neural Networks Modeling of Stress Growth in Asphalt Overlays due to Load and Thermal Effects during Reflection Cracking, ASCE Journal of Materials in Civil Engineering, Vol. 23, No. 3, pp. 221-229.
  6. Ceylan, H.and Gopalakrishnan, K. (2011), Computationally Efficient Surrogate Response Models for Mechanistic-Empirical Pavement Analysis and Design, Structure and Infrastructure Engineering, Vol. 7, No. 4, pp. 297-304.
  7. Gopalakrishnan, K.,Ceylan, H., and Attoh-Okine, N., (2010), Intelligent and Soft Computing in Infrastructure Systems Engineering, Studies in Computational Intelligence, Vol. 259, Springer-Verlag, Inc., Germany, ISBN: 978-3-642-04585-1. http://www.springer.com/engineering/computational+intelligence+and+complexity/book/978-3-642-04585-1.
  8. Dagli, C. H., Enke, D. L., Bryden, K. M.,Ceylan, H., and Gen, M. (2008), Intelligent Engineering Systems Through Artificial Neural Networks: Smart Systems Engineering: Computational Intelligence in Architecting Engineering Systems, ASME Press Series, Proceedings of the International Conference on Artificial Neural Networks in Engineering 2008, Vol. 18, New York, NY, ISBN: 978-0-7918-0282-3.
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