Dr. Shahram Jazaeri | Decision-making and Problem-solving | Best Researcher Award

Shiraz University | Iran

Shahram Jazaeri, Ph.D., is an Assistant Professor of Geodesy at Shiraz University whose research bridges advanced geodetic theory and practical applications in positioning and monitoring. He earned his Ph.D. in Geodesy from the University of Tehran with high honors, focusing on fast integer ambiguity resolution methods for real-time GPS positioning, after completing his M.Sc. in Geodesy and B.Sc. in Surveying Engineering, both with top rankings in his cohorts. His academic background is distinguished by consistent excellence, graduating with honors at every stage. Dr. Jazaeri’s expertise spans GNSS integer ambiguity resolution, least-squares adjustment methods, geodetic inverse problems, statistical quality control, and persistent scatterer interferometry for subsidence monitoring. With an h-index of 9, 583 citations, and multiple impactful publications, his research is widely recognized in the geodetic community. He has contributed significantly to advancing methodologies that enhance the accuracy and reliability of geodetic measurements and monitoring systems. His work combines rigorous theoretical foundations with applied solutions, making him a valuable contributor to both academic research and practical geospatial problem-solving. Recognized for his academic excellence and innovative research, Dr. Jazaeri continues to pursue cutting-edge studies in geodesy, positioning technologies, and Earth observation, with strong potential to expand his influence in global geospatial science.

Profile: Google Scholar

Featured Publications

Amiri-Simkooei, A., & Jazaeri, S. (2012). Weighted total least squares formulated by standard least squares theory. Journal of Geodetic Science, 2(2), 113–124.

Jazaeri, S., Amiri-Simkooei, A. R., & Sharifi, M. A. (2014). Iterative algorithm for weighted total least squares adjustment. Survey Review, 46(334), 19–27.

Jazaeri, S., Amiri-Simkooei, A. R., & Sharifi, M. A. (2012). Fast integer least-squares estimation for GNSS high-dimensional ambiguity resolution using lattice theory. Journal of Geodesy, 86(2), 123–136.

Amiri-Simkooei, A. R., Jazaeri, S., Zangeneh-Nejad, F., & Asgari, J. (2016). Role of stochastic model on GPS integer ambiguity resolution success rate. GPS Solutions, 20(1), 51–61.

Amiri-Simkooei, A. R., & Jazaeri, S. (2013). Data-snooping procedure applied to errors-in-variables models. Studia Geophysica et Geodaetica, 57(3), 426–441.

Jazaeri, S., Amiri-Simkooei, A., & Sharifi, M. A. (2014). On lattice reduction algorithms for solving weighted integer least squares problems: Comparative study. GPS Solutions, 18(1), 105–114.