I have been working as an Assistant Professor of Statistics (since September 2015) at Faculty of Commerce, Menoufia University, Egypt. Before that, I worked as a Tutor for Statistics and Mathematics from February 2012 to June 2014 at Faculty of Science, Engineering and Technology, Swinburne University of Technology, Australia. Moreover, I worked as a Teaching Assistant for Statistics and Mathematics from May 2007 to April 2010 at Faculty of Commerce, Menoufia University, Egypt. I was awarded my PhD degree from Faculty of Science, Engineering and Technology, Swinburne University of Technology, Australia (in January 2014). I received my MSC in Statistics (with excellent degree in October 2009) and BSC in Statistics and Social Science Computing (with excellent degree in June 2006) from Faculty of Economics and Political Science (FEPS), Cairo University, Egypt.
My research work is mainly in time series analysis and forecasting methods. In my Master study, I proposed a Bayesian inference for multiplicative seasonal ARMA models by implementing MCMC Gibbs sampling algorithm. In addition in my PhD study, I continued my work in time series analysis but mostly in the real application of time series forecasting. In particular, I was working on proposing an automated statistical approach to forecasting Quality attributes of software systems. These Quality attributes include performance, reliability, and availability. This forecasting approach is mainly based on linear and non-linear time series models and wavelet analysis. Currently, I am mainly working on modeling multiple seasonalities aiming to propose a new efficient forecasting method that can be effectively applied in different research fields such as finance, economics and software engineering.
I deliver statistical consultations for many clients such as regional projects, companies, and postgraduate students in different fields including information technology, social and educational sciences, linguistics, and medicine that require the statistical analysis and data mining as a main component in their work.
Thesis Topic: Automated Statistical Forecasting for Quality Attributes of Web Services
Supervisor: Prof. Lars Grunske and Dr. Alan Colman
Area of Study: Quantitative Analysis for Quality Attributes of Software Systems
Thesis Abstract: This study proposes a collection of automated forecasting approaches for quality of service (QoS) attributes of Web services. Each one of these approaches is able to fit and forecast a specific type of QoS stochastic characteristics, however, taken together they will be able to fit different dynamic behaviors of QoS attributes and forecast their future values. In particular, the thesis proposes an automated forecasting approach for nonlinearly dependent QoS attributes, two automated forecasting approaches for linearly dependent QoS attributes with volatility clustering, and two automated forecasting approaches for nonlinearly dependent QoS attributes with volatility clustering. The accuracy and performance of the proposed forecasting approaches are evaluated and compared to those of the baseline ARIMA time series models using real-world QoS datasets of Web services characterized by nonlinearity and volatility clustering. The evaluation results show that each one of the proposed forecasting approaches outperforms the baseline ARIMA models.
Thesis Topic: Bayesian Inference for Seasonal ARMA Models: A Gibbs Sampling Approach
Supervisor: Prof. Mohamed Ismail and Prof. Emad Soliman
Area of Study: Bayesian Time Series Analysis
Thesis Abstract: This study develops a Bayesian inference for multiplicative seasonal ARMA model by implementing a fast, easy and accurate MCMC Gibbs sampling algorithm. The proposed algorithm does not involve any Metropolis-Hastings generation but is generated from normal and inverse gamma distributions. The proposed algorithm is illustrated using simulated examples and real datasets.
Main courses of this year include:
Grade is Very Good (and the First among the class students)
WOSP/SIPEW International Conference on Performance Engineering Support Travel Grant (ICPE, 2012), which is the SIG Travel Grant for the students/researchers from Association for Computing Machinery (ACM).
CRS is the Swinburne University’s premier research award.-
I am an Assistant Professor of Statistics in Department of Statistics at Faculty of Commerce, Menoufia University, Egypt; and courses I have been teaching for undergraduate include:
Courses I have been teaching for Postgraduate include:
I have worked as an Adjunct Research Fellow at Faculty of Science, Engineering, and Technology (FSET), Swinburne University of Technology, Australia during March 2014 - February 2017.
The main courses I have been tutoring include:
I worked as Teaching Assistant of Statistics and Mathematics in Department of Statistics at Faculty of Commerce, Menoufia University, Egypt
After my graduation I directly worked as a Statistician in Data Quality Unit at Information and Decision Support Center (IDSC), Egyptian Cabinet, Egypt.
I deliver statistical consultations for many clients such as regional projects, companies, and postgraduate students in different fields including information technology, social and educational sciences, linguistics, and medicine.
This project is funded by the Ministry of Higher Education, and I am the Head of Statistics and Opinion Polls Unit in the project at Faculty of Commerce.
This Project of Arab Knowledg Indicator (AKI)-2015 was funded by United Nations Development Programme (UNDP) and Mohammed Bin Rashid Al Maktoum Knowledge Foundation. My participation in this project was writing a technical paper titled On Constructing Composite Indicators: Background Paper, giving all the required background to construct the Arab Knowledge Indicator.
This Project is a joint effort between Takween Integrated Community Development (in Egypt) and the American University in Washington, D.C. I was the statistician of this project, proposing and constructing composite indicators to measure multidimensional spatial inequalities.
I have been working as a statistical consultant for many PhD studies especially that include surveys as a main component of the thesis. Examples of these PhD studies include: