Mostafa Zahed
Assistant Professor of Applied Statistics and Data Science; Director of Statistical Consulting Lab
- zahedm@etsu.edu
- 423-439-6980
- RM 308-M Gilbreath Hall
He has taught a broad range of undergraduate and graduate courses to students with varied backgrounds for more than fifteen years. He has found that his professional experience as a statistician has provided him with a broad view that is useful in assisting students with projects and assignments.
In addition to his teaching and research roles, he serves as the director of a statistical consulting lab that he established since joining ETSU. This role has allowed him to apply his expertise to real-world problems and guide students in gaining practical experience in the field.
During his postdoctoral work at the University of Miami, he researched machine learning, big data, and data mining on cancer medical images in two NSF-funded projects, collaborating with Yale University and the University of Basel in Switzerland. Throughout his Ph.D., he collaborated with the Active Schools Institute-funded group, Colorado Health Foundation grant, at the University of Northern Colorado since 2018. He proposed a technique that extends the analysis of longitudinal models by relating a scalar outcome to functional predictors with multiple time scales and wrote an R package to implement the proposed model in software. These experiences gave him opportunities to work in various research areas in statistics, improving his research skills, including searching, finding, collecting, breaking down, and evaluating relevant information related to the phenomenon at hand.
He enjoys developing and initiating innovative statistical techniques, analyzing and performing statistics on datasets and other related information. He has been studying various topics in statistics, including longitudinal data analysis, time series, categorical data analysis, functional data analysis, multivariate data analysis, missing value analysis, power analysis and sample size, data mining, machine learning, statistical learning, bioinformatics, and big data.
His main hobby is fly fishing. This activity requires him to move around to catch the fish's movement. Also, it gives him the chance to walk through the river and catch a fish simultaneously, providing a higher level of activity and fun.