Image

Dr. Jawad-ur-Rehman Chughtai ( Lecturer )

Department of Computer Science & Information Technology
03330001525
jawadchughtai@wuajk.edu.pk
https://scholar.google.com/citations?user=nwb_vB4AAAAJ&hl=en

Intelligent Transportation Systems, Machine Learning, Deep Learning

Ph.D.
  1. J. u. R. Chughtai, I. U. Haq, O. Shafiq, and M. Muneeb, “Travel time prediction using hybridized deep feature space and machine learning based heterogeneous ensemble,” IEEE Access, vol. 10, pp. 98127–98139, 2022.


  •  J.-R.Chughtai, I. u. Haq, S. u. Islam, and A. Gani, “A heterogeneous ensemble approach for travel time prediction using hybridized feature spaces and support vector regression,” Sensors, vol. 22, no. 24, p. 9735, 2022.


 J.-R.Chughtai, I. U. Haq, and M. Muneeb, “An attention-based recurrent learning model for short-term travel time prediction,” Plos one, vol. 17, no. 12, e0278064, 2022


N.Zafar,I.U.Haq, J.-R. Chughtai, and O. Shafiq, “Applying hybrid lstm-gru model based on heterogeneous data sources for traffic speed prediction in urban areas,” Sensors, vol. 22, no. 9, p. 3348, 2022.


N.Zafar,I.U.Haq, H. Sohail, M. Muneeb, and J. u. R. Chughtai, “Traffic prediction in smart cities based on hybrid feature space,” IEEE Access, vol. 10, pp. 134333–134348, 2022


 J.-R.Chughtai, S. Khalid, and I. Siddiqi, “Online signature verification: A review,” J. Appl. Environ. Biol. Sci, vol. 4, no. 9S, pp. 303–308, 2014

  •  M. Awais Amin, J.-R. Chughtai, W. Ahmad, W. Haider Bangyal, and I. U. Haq, “Trajectory data mining and trip travel time prediction on specific roads,” in 2024 International Conference on Engineering & Computing Technologies (ICECT), IEEE, 2024, pp. 1–8.
}