Yasaman Malekiyourtchi

I graduated from the Department of Statistics at Amirkabir University of Technology (Tehran Polytechnic), and I have been working ten years, as an assistant professor of Statistics, pursuing both academic and research work at Department of Statistics in Alzahra University, Tehran, Iran.

My Ph.D. thesis was mostly focused on locally self-similar processes which are a sub-class of non-stationary processes and their time-frequency spectrum estimation. Locally self-similar processes may come from stock-market data, internet traffic and some situations where the statistical features of the system vary in time during some scales.
 
  My publication record includes articles published in both peer-reviewed probability and statistics journals and conference proceedings. In addition to my Ph.D. research experience and other publications, I am currently working on probability density (PDF) estimation of non-stationary processes which is an important and practical issue in signal processing area and is applicable for situations that we are dealing with streaming data such as ATM transactions, internet data, etc, where the stochastic feature of the process may change in time. 

Moreover, I have extensive teaching experience including a variety of courses such as Probability and Measure Theory (for graduate students), Probability courses, Stochastic Processes, Time-series Analysis, Mathematical Statistics, Statistical Methods, Computational Statistics with R, Design and Analysis of Experiments, and number of Statistical courses for other fields such as engineering, Economics, Phycology, etc.
 
  I have also supervised graduate and undergraduate students in their research projects. As an Orientation Leader and Adviser, I have developed excellent communication, problem solving, and leadership skills. My experience in teaching would be beneficial as the teaching evaluations revealed that the students appreciated my enthusiasm and knowledge of the field, as well as my ability to lead tutorial discussions in an inclusive manner.   I have always enjoyed research and creative problem solving.

Currently, I am working on stock assessment models, such as SAM and Stock Synthesis (SS3), using R platforms. I have worked in Saithe, Cod and Shrimp stocks and I applied my knowledge in Statistics to model stocks using these. I am supposed to be an expert in stock assessment models at  IMR (combination of Statistics with Stock assessment models). I am writing two papers focusing prediction of stocks using time series analysis and stock assessment models. I am going to apply my background on stochastic process and signal processing on a joint project with Økosystemakustikk in the next six months.