Pd.D. Bursary, 1994-1997, Ministry of Culture and Higher Education of Iran.

Graduated from Charles University at Prague with high Honors, May 1997

Member, Geological Society of Iran.

Member, Iranian Association of engineering geology.

Apllication of Optimization methods, Artificial Neural Network, Fuzzy logic, Genetic Algorithms, Ant colony and Greedy Algorithm in Groundwater hydrology.

Using Multivariate Statistics, Factor Analysis, Cluster Analysis, Discreminant Analysis, Multiple Regression in hydrogeology.

1- Vogel, T., M. Nakhaei, and M. Cislerova, Description of hydraulic properties near saturation from point of view of inverse modeling,Edited by M. Th. van Genuchten, F. J. Leij, and L. Wu, Proceedings of the international Workshop on Characterization and Measurement of the Hydraulic Properties of Unsaturated Porous Media Riverside, California October 22-24, Department of Environmental Sciences, University of California, Riverside, CA, 1997. 

2-Nakhaei, M., Parameter estimation for variably saturated flow and solute transport in porous medium by mean of inverse modeling, Institute of Hydrogeology and Engineering Geology, Faculty of Sciences, Charles University, 1998.

3-Vogel, Tomas, M. Nakhei,Inverse modeling of unsaturated flow in porous media - the effect of generating random error in the input signal on parameter optimization K 141 – Department of Hydraulic and Hydrology Czech Technical University, 1998.

4- Nakhaei, M., T. Vogel, WS_1D_INV, a new inverse model for flow and transport parameter estimation in variably saturated porous media, Proceeding, The first international environmental engineering symposium, Jan, 16-18, 2001, Tehran, Iran. 2001.

5-Fatemi Aghda, S. M. , M. Nakhaei, A. Beitollahi and A.R. Aliari, Investigation of  effective factors causing land subsidence in Hamadan area, Iran, Proceedings of the International Symposium on Lowland Technology, Saga University, Japan, 2002.

6- Fatemi Aghda, S. M. , J. Haghshenas and M. Nakhaei,  An  educational planning for flood prevention and mitigation, Proceedings of the International Symposium on Lowland Technology, Saga University, Japan, 2002.
7-Nakhaei, M., Estimating the Saturated Hydraulic Conductivity of Granular Material, Using Artificial Neural Network, Based on Grain Size Distribution Curve, Proceedings of the International Symposium on Lowland Technology, Kasetrat University, Bangkok, Thailand, 2004.
8-Nakhaei, M., Bumeri Mohammad and Ranjbar Abdolmoula, Assessment of groundwater vulnerability to pollution from industrial, agricultural and municipal sources in Shiraz aquifer, southwest of Iran, GIS and Spatial Analysis 2005 Annual Conference of the International Association for Mathematical Geology (IAMG), Toronto, Canada, August 21-26, 2005.
9-Nakhaei, M., Estimating the Saturated Hydraulic Conductivity of granular materials, using Artificial Neural Network based on grain size distribution curve, Journal of Sciences, Islamic Republic of Iran,Vol. 16, No.1, Winter 2005.
10-Lashkaripour G. and M. Nakhaei , Geoelectrical investigation for the assessment of groundwater conditions: a case study. ANNALS OF GEOPHYSICS, VOL. 48, N. 6, December 2005.
11-Farajolah Fayazi, Razieh Lak, Mohammad Nakhae, 2007, Hydrogeochemistry and brine evolution of Maharlou Saline Lake, southwest of Iran. Carbonates and Evaporites.
12-Khalil Rezaei, Bernard Guest, Anke Fredrich, Farajollah Fayazi, Mohammad Nakhaei, S.M. Fatemi Aghda, Ali Beitollahi, 2008,Soil and sediment quality as a factor of distribution of damage during the earthquake in the Bam area (Iran). Journal of Soil and Sediment.

13-Khalil Rezaei, Bernard Guest, Anke Fredrich, Farajollah Fayazi, Mohammad Nakhaei, S.M. Fatemi Aghda, Ali Beitollahi , 2008, Feed Forward Neural Network and Interpolation function model to predict the distribution of soil and subsurface sediments in Bam, Iran.  Acta Geophysica.