Dr. Hamed Qahri Saremi
- Information Systems
Hamed joined the PhD program in September 2008. His research interests lie in the areas of knowledge management, agent-based modelling of complex organizational systems, adoption of technology, and applications of soft computing techniques in decision making.
Thesis Title: An Elaboration Likelihood Model Perspective on the Effectiveness of Electronic Word of Mouth Recommendations
Supervisor: Ali Montazemi
Current Position: Assistant Professor of Management Information Systems, University of Illinois at Springfield
- M.Sc., Information Technology Engineering, Tarbiat Modares University in Iran
- B.Sc. Industrial Engineering, Iran University of Science and Technology
Over the course of Hamed’s professional experience, he has been involved in a number of industrial projects. He has worked as a senior industrial engineer, project manager, and chief information officer (CIO). He has also taught some graduate and undergraduate courses such as strategies for e-business, business modelling, and time and work studies in industrial projects.
In pursuit of his research interests, Hamed has published several peer reviewed journal and conference papers. In addition, he has several others under review for publication considerations in prominent journals. Some of his recent publications:
Montazemi, A. R., Pittaway, J., and Qahri Saremi, H. (2010). Assessment of Ubiquitous Healthcare Information Systems Benefits. Paper presented at the 16th American Conference on Information Systems (AMCIS), Lima, Peru.
Montazer, Gh. A., Qahri Saremi, H., and Khatibi, V. (2010). A Neuro-fuzzy Inference Engine for Farsi Numeral Characters Recognition. Expert Systems with Applications, 37(9), 6327-6337.
Montazer, Gh. A., Qahri Saremi, H., and Ramezani, M. (2009). Design a new mixed expert decision aiding system using fuzzy ELECTRE III method for vendor selection. Expert Systems with Applications, 36(8), 10837-10847.
Qahri Saremi, H., Abedin, B., and Meimand Kermani, A. (2008). Website Structure Improvement: Quadratic Assignment Problem Approach and Ant Colony Meta-Heuristic Technique. Applied Mathematics and Computation, 195(1), 285-298.