Industrial Engineering Group

DR. Shakiba Khademolqorani

Department

Personal Information

DR. Shakiba Khademolqorani

Academic Rank: Assistant Professor

Email: shakiba_kh@shbu.ac.ir

Educational Background

B.Sc.

Statistics, Isfahan University of Technology, Isfahan, Iran, 2005

M.Sc.

Mathematical Statistics, Isfahan University of Technology, Isfahan, Iran, 2008

PhD.

Industrial Engineering, Isfahan University of Technology, Isfahan, Iran, 2015

Areas of Interest

Modeling

Data Mining

Health Data Analysis

Finantial Data Analysis

Decision Support System

Multi-Criteria Decision Making

Journals paper

2012
  • 1  Hosseini, S. M., Hassannejad, R., Khademolghorani, S., Tabatabaeian, M., & Mokarian, F. . Identification of Patterns of Breast Cancer Metastasis among Women Referred to Isfahan Seyedoshohada Center, Iran, between 1999 and 2009 by Association Rules and Ordinal Logistic Regression . Isfahan University of Medical Sciences. Health System Research . Vol 7, No 6; 2011 link
2013
  • 2  Khademolqorani, S. & Hamadani, A.Z., . An Adjusted Decision Support System through Data Mining and Multiple Criteria Decision Making. Elsivier. Procedia - Soc and Behevioral Sciences. Vol. 73, pp. 388 – 395 link
2015
  • 3  Khademolqorani, S., & Hamadani, A. Z.. Development of a Decision Support System for Handling Health Insurance Deduction. Science and Information Organization. International Journal of Advanced Computer Science and Applications. Vol. 6, no. 2 link
2015
  • 4  Khademolqorani, S., Hamadani, A. Z., Rafiei, F. M.. A Hybrid Analysis Approach to Improve Financial Distress Forecasting: Empirical Evidence from Iran. Hindawi. Mathematical Problems in Engineering. Volume 2015, Article ID 178197, 9 pages link
2016
  • 5  Khademolqorani, S., . Improved Association Rules Mining based on Analytic Network Process in Clinical Decision Making. Science and Information Organization. International Journal of Advanced Computer Science and Applications. Vol. 7, no. 10 link
2018
  • 6  Khademolqorani, S.,. A hybrid model for the prioritization of municipal projects in Iran. Pooyan Institute. International Journal of Applied Optimization Studies. Volume 1 Issue 1 pp : 1 - 10 link
2019
  • 7  Khademolqorani, S., Yousefian, S.. Evaluation of effective factors on reducing gas production compared to the mandatory program of the phase 12 platform of South Pars field with data mining approach. Shabak. Monthly Journal of New Engineering Sciences. Vol. 47, pp. 67-7 link

Conferences paper

2005
  • 1  Khademolqorani, S., Parsian, A.,. Multiple Colinearity and Ridge regression. Fifth Student Statistics Conference. 1. SheikhBahaei University, Esfahan, Iran. link
2006
  • 2  Khademolqorani, S., Hamadani, A.Z, Saraee, M. H.,. Combining multiple logistic regression and decision trees in multile data analysis. 8th International Statistics Conference. 1. University of Shiraz, Shiraz, Iran. link
2007
  • 3  Khademolqorani, S., Hamadani, A.Z, Saraee, M. H.,. New Parsimonious Segmentation with Combining Logistic Regression and Decision Trees: An application to industrial steel data. 37th International Conference of Computer and Industrial Engineering. 1. Alexandria University, Alexandria, Egypt . link
2009
  • 4  Parvizian, J. Khademolqorani, S., Askari Tabatabaei, M. H., . System Dynamics Modeling of Emigration and Brain Drain: the Case of Iran. 12th International Conference of System Dynamics. 1. Sandia National Laboratories , New Mexico, USA. link
2018
  • 5  , A., Khademolqorani, S.,. Providing a statistical quality control model to improve the quality of refractory companies. Sixth National Conference on New Finds in Industrial Management and Engineering with Emphasis on Entrepreneurship in Industries. 1. Payam Noor university, Tehran, Iran. link
2019
  • 6  Raftari, A., Khademolqorani, S.,. Predicting readmission of patients with mental disorders using artificial neural networks. Second International Conference on New Horizons in Basic Science and Engineering. 1. New Horizon Science and Technology Association, Tehran, Iran. link
2019
  • 7  Khademolqorani, S., Raftari, A.. Predicting readmission of patients using data mining and artificial neural networks. First Conference on Health Care Computing Systems and Technologies. 1. University of Birjand , Birjand, Iran. link

Executive Records

2017 - present

Isfahan, Iran

Sheikh Bahaei University, Assistant Chairman