Bardia Panahbehagh is an Associate Professor of Statistics in the Department of Statistics, Faculty of Mathematical Sciences and Computer, Kharazmi University, Iran. He has been a faculty member since 2013 and received his PhD in Statistics from Isfahan University of Technology.

His research focuses on finite population sampling and inference, including adaptive and unequal probability designs, spatially balanced sampling, stream sampling, ranked set sampling, and maximum entropy methods. His work combines methodological development with computational implementation in R and Python.

He was an Invited Professor at the Institute of Statistics, University of Neuchâtel, Switzerland, in 2021–2022, where he collaborated on survey sampling research and taught Introduction to Stochastic Processes in the MSc Statistics programme. He also served as a National Consultant for the Food and Agriculture Organization of the United Nations (FAO) in 2019–2020, contributing to sampling strategies and data analysis for agricultural monitoring in Iran.

His teaching and postgraduate supervision cover probability, statistical inference, sampling theory, stochastic processes, and applied statistical methods. Current research includes graphical finite population sampling and the measurement and improvement of spatial spread using balanced clustering. He contributes to research software for sample selection and to Lectuna, a multilingual classroom platform supporting international students.

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