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:: Dr.Vahid Khatibi ::

 

Dr. Vahid Khatibi
Assistant Professor
Department of Intelligent Systems Engineering

PhD, Industrial Engineering, Information Systems
MSc, Information Technology Engineering
BSc, Software Engineering

 

Email: khatibiiust.ac.ir
Phone: +98-21-7322-5018
 

        
        

My e-Laboratory
 

Educational Background

  • Ph.D. in Industrial Engineering, specialization in Information Systems, University of Tehran, 2017
  • M.Sc. in Information Technology Engineering, Tarbiat Modares University, 2009
  • B.Sc. in Computer Engineering, specialization in Software, 2006

                                                                                                                                                                                

Research Interests

  • Information Systems and Technology
    • Internet of Things (IoT)
    • Big Data
    • Industry 4.0
    • Business Intelligence
  • Data Science
    • Machine Learning
    • Deep Learning
    • Computational Intelligence
  • Social Network Analysis
    • Social Media Analytics
    • Graph Modelling and Analysis
  • Medical and Biological Data Analytics
    • Bioinformatics
    • Computational Genomics
    • Neuroinformatics
  • Ecological and Environmental Data Analytics
    • Climate Change
    • Air Quality
  • ​​​​Scientometrics
    • Technological Forecasting
    • Detecting Research Frontiers

Journal Papers

 
  • Nikpour, P., Shafiei, M. and Khatibi, V. (2024). Gelato: a new hybrid deep learning-based Informer model for multivariate air pollution prediction. Environmental Science and Pollution Research.
  • Khatibi, V., Keramati, A., & Shirazi, F. (2020). Deployment of a business intelligence model to evaluate Iranian national higher education. Social Sciences and Humanities Open, 2(1), 100056.
  • Khatibi, V., Keramati, A., & Montazer, G. A. (2017). A business intelligence approach to monitoring and trend analysis of national R&D indicators. Engineering Management Journal, 29(4), 244-257.
  • Khatibi, V., & Montazer, G. A. (2010). A fuzzy-evidential hybrid inference engine for coronary heart disease risk assessment. Expert Systems with Applications, 37(12), 8536-8542.
  • Khatibi, V., & Montazer, G. A. (2009). Intuitionistic fuzzy set vs. fuzzy set application in medical pattern recognition. Artificial Intelligence in Medicine, 47(1), 43-52.
  • Khatibi, V., & Montazer, G. A. (2010). A new evidential distance measure based on belief intervals. Scientia Iranica; Transaction D: Computer Science & Engineering and Electrical Engineering, 17(2), 119-132.
  • Montazer, G. A., Saremi, H. Q., & Khatibi, V. (2010). A neuro-fuzzy inference engine for Farsi numeral characters recognition. Expert Systems with Applications, 37(9), 6327-6337.
  • Khatibi, V., & Montazer, G. A. (2012). Comprehensive e-research process frammework and effects of Web services in electronic scientific databases on its adoption in the scientific community. International Journal of Information Science and Management, 10(1), 35-55.
  • Mohebbi, S., Khatibi, V., & Keramati, A. (2012). A household Internet adoption model based on integration of technology acceptance model, theory of planned behavior, and uses and gratifications theory: An empirical study on Iranian households. International Journal of E-Adoption, 4(1), 51-69.
  • Mosayebian, S., Keramati, A., & Khatibi, V. (2012). A retailing recommender system based on customers demographic patterns using SOM and association rules. International Journal of Industrial Engineering & Production Research, 23(1), 2-13 [in Persian]
  • Khatibi, V., & Montazer, G. A. (2008). Bacillus colonies recognition using intiuitionistic fuzzy sets. Notes on IFS, 14(2), 91-99.
  • Khatibi, V., Keramati, A., & Montazer, G. A. (2018). A Model for monitoring national science and technology indicators: A business intelligence approach. Rahyaft, 27(68), 25-41 [in Persian] 
  • Montazer, G. A., & Khatibi, V. (2011). Deliberation on Scopus; A scientific citation database. Rahyaft, 20(2), 5-17 [in Persian]
  • Montazer, G. A., & Khatibi, V. (2011). Open access journals; A new approach for publishing scientific information. Rahyaft, 20(47), 5-12 [in Persian]
  • Keramati, A., Mojir, N., & Khatibi, V. (2012). Performance assessment of information technology based on complementary assets approach using neural networks: Case study in car parts manufacturers. Journal of Industrial Engineering, 45(2), 187-197 [in Persian]

Conference Papers

  • Keramati, A., & Khatibi, V. (2016). A business intelligence architecture to monitor and analyze national science and technology developments. Paper presented at the 2nd International Congress of Technology, Management and Social Sciences-16 (ICTMS-16), Toronto, Canada.
  • Khatibi, V., Mohebbi, S., & Keramati, A. (2011). An integrated model of technological and behavioral perspectives for household Internet adoption: An empirical study on Iranian communities. Paper presented at the International Conference on Digital Enterprise and Information Systems (DEIS2011), London, UK.
  • Khatibi, V., Iranmanesh, H., & Keramati, A. (2011). A neuro-IFS intelligent system for marketing strategy selection. Paper presented at the First International Conference on Innovative Computing Technology (INCT2011), Tehran, Iran.
  • Khatibi, V., Yakhchali, S. H., & Keramati, A. (2011). An RBF-based neuro-fuzzy system for scenario planning in project management. Paper presented at the International Conference on Financial Management and Economics, Singapore.
  • Khatibi, V., & Montazer, G. A. (2009). Coronary heart disease risk assessment using Dempster-Shafer evidence theory. Paper presented at the 14th Int'l Computer Conference of Iranian Computer Society (CSICC2009), Amirkabir University of Technology, Tehran, Iran.
  • Khatibi, V., & Montazer, G. A. (2009). Intuitionistic fuzzy set application in bacteria detection. Paper presented at the 14th Int'l Computer Conference of Iranian Computer Society (CSICC2009), Amirkabir University of Technology, Tehran, Iran.
  • Khatibi, V., & Montazer, G. A. (2009). Study the role of Web services in adoption of e-research process. Paper presented at the International Conference on Engineering Education (ICEED2009), Kuala Lumpur, Malaysia.
  • Khatibi, V., & Montazer, G. A. (2009). Designing a hybrid inference engine based on fusion of evidence theory with fuzzy rules. Paper presented at the 14th National Computer Conference of Iranian Computer Society (CSICC 2009), Amirkabir University of Technology, Tehran, Iran [in Persian]
  • Khatibi, V., & Montazer, G. A. (2009). E-research process framework. Paper presented at the International Conference on E-Education and E-Learning (EEEL2009), Paris, France.
  • Khatibi, V., & Montazer, G. A. (2008). Designing a fuzzy inference engine for coronary heart disease risk assessment. Paper presented at the 2nd Joint Congress on Fuzzy and Intelligent Systems, Tehran, Iran [in Persian] 
  • Khatibi, V., & Montazer, G. A. (2008). Evidence-based information fusion in intuitionistic fuzzy pattern recognition. Paper presented at the 2nd Joint Congress on Fuzzy and Intelligent Systems, Tehran, Iran.
  • Montazer, G. A., Vahabzadeh, H., & Khatibi, V. (2008). A new approach for recognition of hand-drawn geometric shapes based on fuzzy grammar concept. Paper presented at the 2nd Joint Congress on Fuzzy and Intelligent Systems, Tehran, Iran.

Books

  • Khatibi, V., & Montazer, G. A. (2012). E-Research Methodology. In A. Juan, T. Daradoumis, M. Roca, S. Grasman, & J. Faulin (Eds.), Collaborative and Distributed E-Research: Innovations in Technologies, Strategies and Applications. Hershey, PA: IGI Global.

Magazine Articles

  • Khatibi, V. (2010). The World in 2020; Foresight of Developments and Changes in the Next Decade. Daneshmand (Scientist in Persian), 48(3), 14-29 [in Persian]
  • Khatibi, V. (2008). AI Chasers; Transition to The Smart Society. Daneshmand (Scientist in Persian), 46(9), 26-33 [in Persian]

Reviewer in Journals and Conferences

  • IEEE Transactions on Fuzzy Systems
  • IEEE International Conference on Fuzzy Systems 2019
  • Artificial Intelligence in Medicine, Elsevier

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