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 Dr Waqar Ahmed Khan

Assistant Professor
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Office: 22-234
Phone: 966-13-860-1436
Fax: 966-13-860-2965
Email: waqar.khan@kfupm.edu.sa

Education

  • PhD, Industrial and Systems Engineering, The Hong Kong Polytechnic University, Hong Kong, 2020
  • MS, Total Quality Management, University of the Punjab, Pakistan, 2015
  • BE, Industrial Engineering and Management, University of the Punjab, Pakistan, 2010

Teaching

  • ISE 291 Introduction to Data Science
  • ISE 391 Industrial Engineering Design

Research Interests

  • Logistics engineering and supply chain management
  • Artificial intelligence, machine learning, and deep learning
  • Production and operation research
  • Reliability, safety, and maintenance

Selected Publications

  • Khan, W. A., Ma, H. L., Chung, S. H., & Wen, X. (2021). Hierarchical integrated machine learning model for predicting flight departure delays and duration in series. Transportation Research Part C: Emerging Technologies, 129, 103225. https://doi.org/10.1016/j.trc.2021.103225
  • Khan, W. A., Ma, H. L., Ouyang, X., & Mo, D. Y. (2021). Prediction of aircraft trajectory and the associated fuel consumption using covariance bidirectional extreme learning machines. Transportation Research Part E: Logistics and Transportation Review, 145, 102189. https://doi.org/10.1016/j.tre.2020.102189
  • Wen, X., Ma, H. L., Chung, S. H., & Khan, W. A. (2020). Robust airline crew scheduling with flight flying time variability. Transportation Research Part E: Logistics and Transportation Review, 144, 102132. https://doi.org/10.1016/j.tre.2020.102132
  • Qin, Y., Ma, H. L., Chan, F. T. S., & Khan, W. A. (2020). A scenario-based stochastic programming approach for aircraft expendable and rotable spare parts planning in MRO provider. Industrial Management & Data Systems, 120(9), 1635–1657. https://doi.org/10.1108/IMDS-03-2020-0131
  • Khan, W. A., Wang, Z., Ma, H. L., & Wen, X. (2020). Cascade neural network algorithm with analytical connection weights determination for modelling operations and energy applications. International Journal of Production Research, 58(23), 7094–7111. https://doi.org/10.1080/00207543.2020.1764656
  • Khan, W. A., Chung, S. H., Awan, M. U., & Wen, X. (2020a). Machine learning facilitated business intelligence (Part I): Neural networks learning algorithms and applications. Industrial Management & Data Systems, 120(1), 164–195. https://doi.org/10.1108/IMDS-07-2019-0361
  • Khan, W. A., Chung, S. H., Awan, M. U., & Wen, X. (2020b). Machine learning facilitated business intelligence (Part II): Neural networks optimization techniques and applications. Industrial Management & Data Systems, 120(1), 128–163. https://doi.org/10.1108/IMDS-06-2019-0351
  • Khan, W. A., Chung, S.H., Ma, H. L., Liu, S. Q., & Chan, C. Y. (2019). A novel self-organizing constructive neural network for estimating aircraft trip fuel consumption. Transportation Research Part E: Logistics and Transportation Review, 132, 72–96. https://doi.org/10.1016/j.tre.2019.10.005


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