Noor Saifurina Nana Khurizan

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Dr. Noor Saifurina Nana Khurizan
PhD Data Envelopment Analysis, Universiti Sains Malaysia
MSc Operational Research, University of Southampton
BSc Mathematics, Universiti Sains Malaysia

Email: saifurina@usm.my| Room No.: 013 | Phone: 04-6534989

ORCID: https://orcid.org/0000-0002-6736-2191

Profile

Overview:

Dr. Noor Saifurina joined the School of Mathematical Sciences, USM in 2018 as a lecturer.  She is a researcher working in the field of Operations Research specifically in the area of Data Envelopment Analysis and Multi-Criteria Decision Making. 

Selected publications:

1. N. S. N. Khurizan, Mustafa A. & Hamid H. A. (2018). An Efficiency Analysis of Grant Awarded Research Projects: A Case Study of A Malaysian Public University. International Journal of Public Sector Performance Management, 4(1), 80-97.

2. Investigating the Non-Homogeneity Characteristics of Sponsored Research.Tokyo International Conference on Engineering and Applied Sciences(TICEAS), December 17-19, Tokyo, Japan.

Research Interest:

  1. Data Envelopment Analysis
  2. Multi-Criteria Decision Making
  3. Efficiency Analysis

The needles                      

The Needles, Isle of Wight

 

Teaching & Supervision

Teaching

No. Course Code Course Name
1 MAT 251/4 INTRODUCTION TO OPERATIONS RESEARCH
2 MSG 354/4 NETWORK FLOWS

Research

Potential FYP/MSc/PhD Projects

I am available to supervise motivated students, and especially welcome enquiries from well-prepared and enthusiastic candidates. Feel free to contact me to discuss any related projects in the area of Operations Research.

List of publications:

Published papers:

  1. N. S. N. Khurizan, Mustafa A. & Hamid H. A. (2018). An Efficiency Analysis of Grant Awarded Research Projects: A Case Study of A Malaysian Public University. International Journal of Public Sector Performance Management, 4(1), 80-97.

Conference Proceedings:

  1. Investigating the Non-Homogeneity Characteristics of Sponsored Research.Tokyo International Conference on Engineering and Applied Sciences(TICEAS), December 17-19, Tokyo, Japan.

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