ARAL

UNIVERSITY OF ENGINEERING AND TECHNOLOGY PESHAWAR

ADVANCED ROBOTICS AND AUTOMATION LAB

MUHAMMAD TAHIR KHAN

Professor and Department Head Department of Mechatronics Engineering, University of Engineering & Technology Peshawar, Pakistan

Ph.D (UBC Canada); MEngSc (UNSW Australia); B,Sc Mechanical Engineering (UET Peshawar, Pakistan)

Phone (office):  +92-91 9217070 Ext: 811

Direct (Office):   +92 91 9217032

Email: tahir@uetpeshawar.edu.pk

Website: https://uetpeshawar.edu.pk/aral

 

RESEARCH INTERESTS

  • Robotics Cooperation and Control
  • Precision Agriculture
  • Fault Detection and Isolation
  • Intelligent Controls and Automation
  • Soft Computing
 

RESEARCH GRANTS

Approx. in PKR equivalent to $1million during the past 7 years as Principal Investigator

 

EDITORIAL

  • Mechatronics Systems and Control Journal – Editor 
  • Special Issue on Control and Intelligent Systems – Design and Applications – Guest Editor
  • Special Issue on Control and Intelligent Systems- soft computing and applications – Guest Editor
 

SELECTED JOURNAL PUBLICATIONS

  • A. Abid, M. T. Khan, J. Iqbal and C. W. de Silva, “Immunity Inspired Hybrid Fault Diagnosis and Conflict Resolution,” in IEEE/ASME Transactions on Mechatronics, vol. 27, no. 1, pp. 440-451, Feb. 2022
  • Shahbaz Khan, Muhammad Tufail, Muhammad Tahir Khan, Zubair Ahmad Khan, Javaid Iqbal, and Arsalan Wasim. “A Novel Framework for Multiple Ground Target Detection, Recognition and Inspection in Precision Agriculture Applications Using a UAV.” Unmanned Systems, vol 10, no 1, 2022, pp. 45-56
  • Abid, A., Khan, M.T. & Iqbal, J. A review on fault detection and diagnosis techniques: basics and beyond. Artif Intell Rev , vol 54, 2021,  pp 3639-3664.
  • M. Tufail, J. Iqbal, M. I. Tiwana, M. S. Alam, Z. A. Khan and M. T. Khan, “Identification of Tobacco Crop Based on Machine Learning for a Precision Agricultural Sprayer,” in IEEE Access, vol. 9, 2021, pp. 23814-23825.
  • Khan S, Tufail M, Khan MT, Khan ZA, Iqbal J, Wasim. “A Real-time recognition of spraying area for UAV sprayers using a deep learning approach”. PLoS ONE vol 16, no 4, 2021, pp 1-17
  • Shahbaz Khan, Muhammad Tufail, Muhammad Tahir Khan, Zubair Ahmad Khan, and Shahzad Anwar. “Deep learning-based identification system of weeds and crops in strawberry and pea fields for a precision agriculture sprayer.” Precision Agriculture,  vol 22, 2021, pp. 1711-1727
  • A. Abid, M. T. Khan, I. U. Haq, S. Anwar & J. Iqbal “An Improved Negative Selection Algorithm-Based Fault Detection Method”, IETE Journal of Research, 2020
  • Tufail Muhammad, Shahzad Anwar, Zubair Ahmad Khan, and Muhammad Tahir Khan. “Real-Time Impedance Control Based on Learned Inverse Dynamics.” Arabian Journal for Science and Engineering vol. 45, 2020, pp. 5043 – 5055.
  • A.Abid, M. T. Khan and M. S. Khan, “Multidomain Features-Based GA Optimized Artificial Immune System for Bearing Fault Detection,” in IEEE Transactions on Systems, Man, and Cybernetics: Systems, vol. 50, no. 1, 2020, pp. 348-359.
  • Z.A. Khan, M T Khan, I Ul Haq, J Iqbal and M Tufail, “Human immune system inspired framework for disruption handling in manufacturing Process,” International Journal of Computer Integrated Manufacturing, vol. 32, no. 11, 2019, pp. 1081-1097
  • A. Abid, M. T. Khan, H. Lang and C. W. de Silva, “Adaptive System Identification and Severity Index-Based Fault Diagnosis in Motors,” in IEEE/ASME Transactions on Mechatronics, vol. 24, no. 4, 2019, pp. 1628-1639.
  • Zubair Ahmad Khan, Muhammad Tahir Khan, Izhar Ul Haq & Kamran Shah “Agent-based fault tolerant framework for manufacturing process automation”, International Journal of Computer Integrated Manufacturing, vol 32, no 3, 2019, pp, 268-277
  • A. Abid, M. T. Khan and C. W. de Silva, “Layered and Real-Valued Negative Selection Algorithm for Fault Detection,” in IEEE Systems Journal, vol. 12, no. 3, 2018, pp. 2960-2969
  • H. Lang, M.T. Khan, K.-K. Tan, C.W. de Silva, “Application of Visual Servo Control in Autonomous Mobile Rescue Robots”, International Journal of Computers Communications & Control, Vol. 11, No. 5, 2016, pp. 668-680
  • M. Tahir Khan, M. Qadir, A. Abid, F.Nasir, C. W. de Silva;, “Robot Fault Detection Using an Artificial Immune System” Control and Intelligent Systems, Vol. 43, No. 2, 2015, pp. 107-117
  • Muhammad T. Khan, Izhar, Fazal Nasir, Muhammad U. Qadir, and Clarence W. de Silva. “Multi-robot Cooperation Framework Based on Artificial Immune System” Control and Intelligent Systems, Vol. 43, No. 3, 2015, pp. 159-167
  • M. Tahir. Khan, and Clarence W. de Silva, “Autonomous and Market-Based Fault Tolerant Algorithms for Multi-Robot Cooperation” Journal of Information Science and Engineering Vol. 30, No. 2, 2014, pp. 483-500
  • M. Tahir Khan, Bessie Chan, Afzal Khan, Zia Haq, Javaid Iqbal, “Optimized Dynamic Task Allocation and Priority Assignments in an Immunized Autonomous Multi-Robot Search and Rescue Operation” Romanian Journal of Information Science and Technology Vol. 15, No. 2, 2013, pp. 129-145
  • Muhammad T. Khan, and Clarence W. de Silva, “Multi-Robot Cooperation Using an Immune System Model for Multi-Object Transportation” International Journal of Robotics and Automation, Vol. 28, No. 1, 2013, pp. 42-56
  • Muhammad T. Khan, and Clarence W. de Silva, “Autonomous and Robust Multi-Robot Cooperation Using an Artificial Immune System, ” International Journal of Robotics and Automation, Vol. 27, No. 1, 2012, pp. 60-75