Biography
Saman Hussein Mahmood is a specialist with Working in University since 1996 till now. His activities during this period are as following:
1-Teaching statistics lectures
2-Supervising undergraduate, master's, and PhD research projects.
3-Assisting some university professors, economic and administrative specialists, in Data Analyses
4- Opening Internet SPSS courses.
5- Participating in scientific conferences in other universities like Sulaymaniyah and Baghdad.
6-Heading Statistic department in collage of Administrative and Economic/Erbil University (2005-2008), (2017-2019)
Worked for UN agency, Food & Agriculture Organization, FAO, from 1/6 -1/9 /2003 as Data Analysis at Erbil office in Iraqi Kurdistan.
Research Interest
· Time series forecasting using neural networks (e.g., NAR, LSTM) and hybrid models (e.g., SARIMA-ANN).
· Classification and discriminant analysis for medical and real-world datasets.
· Application of machine learning and deep learning (e.g., SVM, FFNN) in disease diagnosis (e.g., Alzheimer's, breast cancer).
· Wavelet Transform for signal and image processing and feature extraction.
· Impact of sample size, feature selection, and preprocessing on model performance.
· AI applications in energy forecasting, healthcare analytics, and environmental systems.
Publications
1. Comparative Analysis of Support Vector Machine Kernel Functions for Breast Cancer Detection and Classification RMH Salih, SH Mahmood – Cihan University-Erbil Scientific Journal, 2025
2. ARIMAX Time Series Analysis for General Budget Forecasting in the Kurdistan Region of Iraq Using Wavelet Shrinkage KHA Taha, Ayoob A. Hamad, SH Mahmood – Communications in Statistics: Case Studies, Data Analysis and Applications, 2025
3. Evaluation of Model Efficiency Under Multicollinearity in Multiple Linear Regression: A Comparative Study SH Mahmood – Zanco Journal of Human Sciences, 2024
4. Detection of Breast Cancer in Digital Mammograms Using Feedforward Neural Networks SH Mahmood, RM Ahmed, KH Ahmed – Al-Anbar University Journal of Economic and Administrative Sciences, 2024
5. Building SARIMA Models for the Analysis and Forecasting of Road Traffic Accidents in the Kurdistan Region of Iraq MM Ahmed, SH Mahmood – Zanco Journal of Human Sciences, 2023
6. Elman Neural Network and SARIMA Model for Modeling Road Traffic Accidents in the Kurdistan Region of Iraq MM Ahmed, SH Mahmood – Iraqi Journal of Statistical Sciences, 2023
7. Comparison of Linear Discriminant Analysis and Artificial Neural Networks for Stroke Patient Classification SH Mahmood, HH Khider – University of Kirkuk Journal for Administrative and Economic Science, 2023
8. A Hybrid Method Using Neural Networks and Wavelet Transform for Time Series Model Estimation TH Ali, SH Mahmood, AS Wahdi – Tikrit Journal of Administrative and Economic Sciences, 2022
9. Using Discriminant Analysis for Classifying Patient Status Three Months Post-Stroke SH Mahmood – Zanco Journal of Humanity Sciences – Erbil, 2020
10. Forecasting Water Consumption in Erbil City Using the SARIMA Time Series Model SH Mahmood, IA Omar – Zanco Journal of Humanity Sciences, 2019
11. A Comparative Study of Factor and Cluster Analysis on Youth Migration from Kurdistan to Europe HTA Blbas, SH Mahmood, CA Omer – ZANCO Journal of Pure and Applied Sciences, 2017
12. Forecasting Monthly Average Electricity Demand in the Kurdistan Region Using Artificial Neural Networks SH Mahmood – Zanco Journal of Humanity Sciences – Erbil, 2016
13. Extended Kalman Filter for Training Feedforward Artificial Neural Networks SH Mahmood, TS Jalil – University of Kirkuk Journal for Administrative and Economic Science, 2012
Teaching
· Teaching basic and advanced statistics courses for undergraduate and graduate students (master's and doctoral).
· Teaching courses in statistics and computing for students in various departments of the College of Engineering.
· Academic supervision of research projects in statistics, applied mathematics, and data analysis for undergraduate, master's, and doctoral students.