selected journal publications:

• Abid, M. T. Khan, J. Iqbal, and C. W. de Silva, “Immunity inspired hybrid fault diagnosis and conflict resolution,” IEEE/ASME Transactions on Mechatronics, 27, no. 1, pp. 440–451, 2022.
• Fazal, M. T. Khan, S. Anwar, J.  Iqbal, and S.  Khan, “Task allocation in multi-robot system using resource sharing with dynamic threshold approach,” Plos one, vol. 17, no. 5, p. e0267982, 2022.
• Khan, M. Tufail, M. T. Khan, Z. A. Khan, J. Iqbal, and A. Wasim, “A novel framework for multiple ground target detection, recognition and inspection in precision agriculture applications using a UAV,” Unmanned Systems, vol. 10, no. 01, pp. 45–56, 2022.
• S.  Alam,  M.  Alam,  M.  Tufail,  M.  U.  Khan,  A.  Gu¨ne¸s,  B.  Salah,  F.  E. Nasir, W. Saleem, and M. T. Khan, “Tobset: A new tobacco crop and weeds image dataset and its utilization for vision-based spraying by agricultural robots,” Applied Sciences, vol. 12, no. 3, p. 1308, 2022.
• Murtaza, U. Qadir, M. A. Khan, I. ul Haq, K. Shah, and N. Akhtar, “Lyapunov-redesign and sliding mode controller for microprocessor based transfemoral prosthesis,” Intelligent Automation and Soft Computing, vol. 31, no. 3, pp. 1887–1899, 2022.
• Abid, T. Khan, and J. Iqbal, “A review on fault detection and diagnosis techniques: basics and beyond,” Artificial Intelligence Review, vol. 54, no. 5, pp. 3639–3664, 2021.
• Khan, M. Tufail, M. T. Khan, Z. A. Khan, and S. Anwar, “Deep learning-based identification system of weeds and crops in strawberry and pea fields for a precision agriculture sprayer,” Precision Agriculture, vol. 22, no. 6, pp. 1711–1727, 2021.
• A. Khan, K. Khan, M. T. Khan, J. Iqbal, and S. Khan, “Model-based dynamic categorization of alarm trip points for manufacturing process disruption minimization,” International Journal of Computer Integrated Manufacturing, vol. 34, no. 10, pp. 1125–1137, 2021.
• 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,” IEEE Access, vol. 9, pp. 23 814–23 825, 2021.
• Khan, M. Tufail, M. T. Khan, Z. A. Khan, J. Iqbal, and A. Wasim, “Real-time recognition of spraying area for UAV sprayers using a deep learning approach,” Plos one, vol. 16, no. 4, p. e0249436, 2021.
• U. Qadir, I. U. Haq, M. A. Khan, M. N. Ahmad, K. Shah, and N. Akhtar, “Design, development and evaluation of novel force myography based 2-degree of freedom transradial prosthesis,” IEEE Access, vol. 9, pp. 130 020–130 031, 2021.
• Abid, T. Khan, and M. S. Khan, “Multidomain features-based GA optimized artificial immune system for bearing fault detection,” IEEE Trans- actions on Systems, Man, and Cybernetics: Systems, vol. 50, no. 1, pp. 348–359, 2020.
• Tufail, S. Anwar, Z. A. Khan, and M. T. Khan, “Real-time impedance control based on learned inverse dynamics,” Arabian Journal for Science and Engineering, vol. 45, no. 7, pp. 5043–5055, 2020.
• 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, pp. 1081–1097, 2019.
• Abid, M. T. Khan, H. Lang, and C. W. de Silva, “Adaptive system identification and severity index-based fault diagnosis in motors,” IEEE/ASME Transactions on Mechatronics, 24, no. 4, pp. 1628–1639, 2019.
• A. Khan, M. T. Khan, I. Ul Haq, and K. Shah, “Agent-based fault tolerant framework for manufacturing process automation,” International journal of computer integrated manufacturing, vol. 32, no. 3, pp. 268–277, 2019.
• Shah, H. Khurshid, S. Anwar, S. A. Shah et al., “Numerical modelling of pulsed and continuous wave direct laser deposition of ti-6al-4v and inconel 718,” The International Journal of Advanced Manufacturing Technology, vol. 95, no. 1, pp. 847–860, 2018.
• A. Shah, E. L. Bohez, K. Shah, K. Azam, S. Anwar et al., “Colored petri net model for significant reduction of invariants in flexible manufacturing systems,” The International Journal of Advanced Manufacturing Technol- ogy, vol. 88, no. 5, pp. 1775–1787, 2017.
• Arif, M. Ilyas, M. Riaz, K. Ali, K. Shah, I. U. Haq, and S. Fahad, “Biochar improves phosphorus use efficiency of organic-inorganic fertilizers,  maize-wheat productivity and soil quality in a low fertility alkaline soil,” Field Crops Research, vol. 214, pp. 25–37, 2017.
• T. Khan, F. N. Izhar, M. U. Qadir, and C. W. de Silva, “Multi-robot cooperation framework based on artificial immune system,” Control and Intelligent Systems, vol. 43, no. 3, 2015.
• T. Khan, M. U. Qadir, A. Abid, F. Nasir, and C. W. de Silva, “Robot fault detection using an artificial immune system (AIS),” Control Intell. Syst., vol. 43, no. 2, pp. 129–132, 2015.
• Shah, I. U. Haq, S. A. Shah, F. U. Khan, M. T. Khan, and S. Khan, “Experimental study of direct laser deposition of ti-6al-4v and inconel 718 by using pulsed parameters,” The Scientific World Journal, vol. 2015, 2015.
• Shah, I. ul Haq, A. Khan, S. A. Shah, M. Khan, and A. J. Pinkerton, “Parametric study of development of inconel-steel functionally graded materials by laser direct metal deposition,” Materials & Design (1980-2015), vol. 54, pp. 531–538, 2014.
• T. Khan and C. De Silva, “Autonomous and market-based fault tolerant algorithms for multi-robot cooperation.” J. Inf. Sci. Eng., vol. 30, no. 2, pp. 483–500, 2014.
• T. Khan and C. 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, pp. 42–56, 2013.
• T. Khan, B. Chan, A. Khan, Z. Haq, and J. Iqbal, “Optimized dynamic task allocation and priority assignments in an immunized autonomous multi-robot search and rescue operation,” Science and Technology, vol. 15, no. 2, pp. 129–145, 2012.
• T. Khan and C. W. De Silva, “Autonomous and robust multi-robot cooperation using an artificial immune system,” International Journal of Robotics and Automation, vol. 27, no. 1, p. 60, 2012.
• Haq, R. Monfared, R. Harrison, L. Lee, and A. West, “A new vision for the automation systems engineering for automotive powertrain assembly,” International Journal of Computer Integrated Manufacturing, vol. 23, no. 4, 308–324, 2010.
• Shah, A. J. Pinkerton, A. Salman, and L. Li, “Effects of melt pool variables and process parameters in laser direct metal deposition of aerospace alloys,” Materials and Manufacturing Processes, vol. 25, no. 12, pp. 1372– 1380, 2010.