Mr Subhan   Khan
Casual Academic

Mr Subhan Khan

  • PhD Mechatronics Engineering, UNSW Sydney (2018-Current)
  • MSc Electronic Communications and Computer Engineering, University of Nottingham, UK (2014-15)
  • BSc Computer Engineering, COMSATS Institute of Information Technology (CIIT), Lahore (2009-13)
Minerals and Energy Resources

Subhan has 9 years of research, teaching, and technical experience in computing, mechatronics, and electrical engineering. In particular, his area of interest includes Motion Control Systems for Autonomous Vehicles, Deep Learning, GPS and non-GPS based Autonomous Navigation, and Software development in Engineering Education. In terms of non-technical skills, he has worked in various management roles at COMSATS University Islamabad. Additionally, he has worked as a professional freelancer and systems engineer in and Alliance Professionals, respectively.

Currently, Subhan is a final year PhD candidate and working on finalizing his thesis in the Mechatronics lab at the University of New South Wales, Sydney. He is a recipient of the prestigious University International Postgraduate Award (UIPA). His PhD thesis is based on motion planning and control of an autonomous vehicle. During his PhD, he has also worked on feature extraction and localization of autonomous vehicles. Additionally, he has expertise in machine learning and medical imaging applications. He has published quality articles in IEEE, Elsevier, and Springer.

Ainsworth Building J-17/Level 5, Mechatronics Lab


  • Journal articles | 2020
    Li X; Guivant J; Khan S, 2020, 'Real-time 3D object proposal generation and classification using limited processing resources', Robotics and Autonomous Systems, vol. 130,
    Journal articles | 2017
    Khan S; Jaffery MH; Hanif A; Asif MR, 2017, 'Teaching Tool for a Control Systems Laboratory Using a Quadrotor as a Plant in MATLAB', IEEE Transactions on Education, vol. 60, pp. 249 - 256,
    Journal articles | 2021
    Khan S; Guivant J, 2021, 'Nonlinear Model Predictive Path-Following Controller for a Small-Scale Autonomous Bulldozer for Accurate Placement of Materials and Debris of Masonry in Construction Contexts', IEEE Access, vol. 9, pp. 102069 - 102080,
    Journal articles | 2017
    Asif MR; Chun Q; Hussain S; Fareed MS; Khan S, 2017, 'Multinational vehicle license plate detection in complex backgrounds', Journal of Visual Communication and Image Representation, vol. 46, pp. 176 - 186,
    Journal articles | 2019
    Asif MR; Qi C; Wang T; Fareed MS; Khan S, 2019, 'License plate detection for multi-national vehicles – a generalized approach', Multimedia Tools and Applications, vol. 78, pp. 35585 - 35606,
    Journal articles |
    Khan S; Zhu Y; Jawad M; Safder MU; Jaffery MH; Javid S, 'Analysis of the satellite navigational data in the Baseband signal processing of Galileo E5 AltBOC signal', Arctic Journal 2018,
  • Conference Papers | 2017
    Khan S; Javed S; Naeem N; Ali I, 2017, 'Performance Analysis of PID and State-Feedback Controller on the Depth Control of a Robotic Fish', in Proceedings - 2017 International Conference on Frontiers of Information Technology, FIT 2017, pp. 7 - 11,
    Conference Papers | 2018
    Khan S; Akmal H; Ali I; Naeem N, 2018, 'Efficient and unique learning of in-car voice control for engineering education', in Proceedings of 2017 International Multi-Topic Conference, INMIC 2017, pp. 1 - 6,
    Conference Papers | 2017
    Altuwairgi K; Ali I; Khan S; Naeem N, 2017, 'TUTGNSS - An Approach to Provide Baseband Signal Processing of Galileo E5 AltBOC Signal', in Proceedings - 14th International Conference on Frontiers of Information Technology, FIT 2016, pp. 286 - 291,


  • PhD Scholarship Award: University International Postgraduate Award (UIPA) 2018 at UNSW, Sydney.
  • MSc Scholarship Award: Development of Eminent and Support Facilities for Fall 2014 at University of Nottingham, UK.
  • MSc Award: Distinction UK System.
  • BSc Computer Engineering Award: Campus Silver Medal (2nd Position in the School with a CGPA of 3.58/4).