Gufran Khan

  • Department of Electrical Engineering
  • (041) 111-128-128
  • Ext: 131


Dr. Muhammad Gufran Khan is Professor at the Department of Electrical Engineering, FAST National University of Computer and Emerging Sciences (NUCES), Chiniot-Faisalabad Campus, Pakistan. Dr. Khan is a Senior Member of IEEE and the founding Chair of IEEE Faisalabad Subsection. He possesses professional experience of more than 15 years in academia and industry. After graduating from UET, Lahore, with BS Electrical Engineering (2003), he moved to Sweden to obtain his PhD in Telecommunications (2011) from Blekinge Institute of Technology, Sweden. He worked on modeling and design of UWB based Wireless Personal Area Networks for his PhD research. Before joining NUCES, he worked at Volvo Car Corporation, Sweden as Analysis Engineer where he was involved in hardware-in-the-loop (HIL) simulation and development of real-time embedded systems for in-vehicle networks. His current research interests are in the fields of cyber-physical embedded systems, voice processing, computer vision, deep learning, and embedded AI. He is working on different funded research projects to solve real world problems using AI, IoT and embedded technologies.  His scholarly work has been published in international peer-reviewed journals and conferences. Dr. Khan has extensive experience of teaching graduate and undergraduate students at Blekinge Institute of Technology, Sweden and FAST-NUCES, Pakistan. He has also supervised many graduate students and managed teams of engineers working on different projects. He has won many research grants and awards.


Ph.D(EE (Wireless Communications)), Blekinge Institute Of Technology, Sweden (2011)
M.Sc(EE (Signal Processing)), Blekinge Institute Of Technology, Sweden (2005)
B.Sc(Electrical Engineering), University of Engineering & Technology, Lahore, Pakistan (2003)


Journal Articles


  • Abdullah Irfan, Muhammad Gufran Khan, Arslan Ahmed Amin, Syed Ali Mohsin, Muhammad Adnan, and Adil Zulfiqar. “Model-Based Design, HIL Testing, and Rapid Control Prototyping of a Low-Cost POC Quadcopter with Stability Analysis and Control.” Complexity, 2022 (IF: 2.83)
  • Muhammad Gufran Khan, Noor Ul Huda, and Uzair Khaleeq Uz Zaman. “Smart Warehouse Management System: Architecture, Real-Time Implementation and Prototype Design.” Machines, vol. 10, no. 2 pp. 150, 2022
  • Dost, M. Shabbir, F. Saud, M. G. Khan, M. Shahid and B. Lovstrom “A Review on Methods of Reduced Reference Image and Video Quality Assessment” EURASIP Journal on Image and Video Processing, no. 1, pp. 1-31, 2022
  • Maham Saeed, Muhammad Gufran Khan, Adil Zulfiqar, and Muhammad Tahir Bhatti. “Development of ANPR Framework for Pakistani Vehicle Number Plates Using Object Detection and OCR.” Complexity, 2021.
  • Muhammad Tahir Bhatti, Muhammad Gufran Khan, Masood Aslam, and Muhammad Junaid Fiaz. “Weapon detection in real-time cctv videos using deep learning.” IEEE Access vol. 9, pp. 34366-34382, 2021
  • Marriam Liaqat, Muhammad Gufran Khan, Muhammad Rayyan Fazal, Yazeed Ghadi, and Muhammad Adnan. “Multi-Criteria Storage Selection Model for Grid-Connected Photovoltaics Systems.” IEEE Access, vol. 9 pp. 115506-115522, 2021
  • Muhammad Adnan, Muhammad Gufran Khan, Arslan Ahmed Amin, Muhammad Rayyan Fazal, Wen-Shan Tan, and Mansoor Ali. “Cascading Failures Assessment in Renewable Integrated Power Grids Under Multiple Faults Contingencies.” IEEE Access, vol. 9, pp. 82272-82287, 2021
  • Fizza Naz, Zaeema Wajid, Arslan Ahmed Amin, Omer Saleem, Muhamad Hamza Shahbaz, Muhammad Gufran Khan, and Muhammad Adnan. “PID Tuning with reference tracking and plant uncertainty along with disturbance rejection.” Systems Science & Control Engineering, vol. 9, no. 1, pp. 160-166, 2021
  • Muhamad Hamza Shahbaz, Kashif Amjad, Naqash Ahmad, Arslan Ahmed Amin, Sajid Iqbal, Muhammad Gufran Khan, and Muhammad Adnan, “A Streamlined 17-Level Cascaded H-Bridge Multilevel Converter With Solar PV Integration”, Bulletin of Electrical Engineering and Informatics, vol. 10, no. 2, 00. 598-608, 2021
  • Yousaf, A. Mughees, M. G. Khan, A. A. Amin and M. Adnan. “A Comparative Analysis of Various Controller Techniques for Optimal Control of Smart Nano-Grid Using GA and PSO Algorithms.” IEEE Access, vol. 8, pp. 205696-205711, November 2020
  • A. Majeed, M. G. Khan, and F. Asghar. “Nonlinear control of hybrid energy storage system for hybrid electric vehicles.” International Transactions on Electrical Energy Systems, vol. 30, no. 4, e12268, April 2020
  • Hussain, M. Hussain and M. G. Khan. “An improved acoustic scene classification method using convolutional neural networks (CNNs).” American Scientific Research Journal for Engineering, Technology, and Sciences (ASRJETS), vol. 44, no. 1, pp. 68-76, 2018
  • Ashraf, S. Anwer and M. G. Khan. “A Comparative study of predicting student’s performance by use of data mining techniques.” American Scientific Research Journal for Engineering, Technology, and Sciences (ASRJETS), vol. 44, no. 1 pp. 122-136, 2018
  • Umair and M. G. Khan. “Communication Technologies and Network Protocols of Automotive Systems.” Advances in Networks, SciencePG, vol. 6, no. 1, pp. 58-65, 2018
  • Aslam, N. Shahbaz, R. Rahim, and M. G. Khan “Smart Grid Communication Infrastructure, Automation Technologies and Recent Trends”, published in American Journal of Electrical Power and Energy Systems, vol. 7, no. 3, pp. 25-32, 2018
  • Mazhar, M. G. Khan, “Precise indoor positioning using UWB: A survey of Methods, Algorithms and Implementations”, Published in Journal of Wireless Personal Communications (WPC), pp. 1-25, August 2017
  • Fatima, N. Nazir, M. G. Khan, “Data Cleaning In Data Warehouse: A Survey of Data Pre-processing Techniques and Tools” Published in International Journal of Information Technology and Computer Science (IJITCS), pp. 50-61, March 2017
  • Umair, U. Ashfaq, M. G. Khan, “Recent Trends, Applications, and Challenges of Brain-Computer Interfacing (BCI)”, Published in International Journal of Intelligent Systems and Applications (IJISA), I.J. Intelligent Systems and Applications, pp. 58-65, February 2017
  • Ashraf, M. G. Khan, “Effectiveness of Data Mining Approaches to E-Learning System: A Survey”, Published in NFC-IEFR Journal of Engineering & Scientific Research, vol. 5, pp. 49-57, December 2016
  • G. Khan, B. Sällberg, J. Nordberg, F. Tufvesson and I. Claesson, “Non-Coherent Fourth-Order Detector for Impulse Radio Ultra Wideband Systems: Empirical evaluation using Channel Measurements”, Published in Journal of Wireless Personal Communications (WPC), November 2011
  • G. Khan, B. Sällberg, J. Nordberg and I. Claesson, “Robust Weighted Non-Coherent Receiver for Impulse Radio UWB PPM Signals”, Published in Journal of IEEE Communications Letters, vol. 15, no. 6, pp. 614-616, June 2011
  • Soban Ahmed, Muhammad Tahir Bhatti, Muhammad Gufran Khan, Benny Lövström, and Muhammad Shahid. “Development and Optimization of Deep Learning Models for Weapon Detection in Surveillance Videos” Applied Sciences vol. 12, no. 12, pp. 5772, 2022.
  • M. G. Khan, Salma, M. Saeed, A. Zulfiqar, Y. Ghadi and M. Adnan, “A Novel Deep Learning Based ANPR Pipeline for Vehicle Access Control,” in IEEE Access, 2022, doi: 10.1109/ACCESS.2022.3183101. (Impact Factor: 3.367).
  • Faizan Ahmed, M. Adnan, Arslan Ahmed Amin, and M. G. Khan “A Comprehensive Review of Fault Diagnosis and Fault-Tolerant Control Techniques for Modular Multi-Level Converters” Accepted for publication “Science Progress”. (Impact Factor: 1.512 )


Conference Proceedings

  • Rauf ur Rahim, Masood Aslam, Muhammad Gufran Khan, and Ihtasham Abid Basra. “Pakistani Standard Vehicle Plates Recognition using Deep Neural Networks.” In 2021 International Conference on Artificial Intelligence (ICAI), pp. 158-163. IEEE, 2021.
  • G. Khan, B. Sällberg, J. Nordberg and I. Claesson, “Energy-Efficient BPPM/Code Multiplexed Transmitted- Reference Multi-user UWB System”, IEEE International Conference ICUWB’11, Italy.
  • G. Khan, B. Sällberg, J. Nordberg and I. Claesson, “Non-coherent detection of impulse radio UWB signals based on fourth order statistics”, IEEE International Conference ICUWB’09, Vancouver, Canada.
  • G. Khan, J. Nordberg, and I. Claesson, “Signaling and Detection of UWB Signals based on a Dual-Doublet Transmitted Reference Scheme”, The twentieth Nordic Conf. RVK’08, June 9-11, 2008, Växjö, Sweden.
  • G. Khan, J. Nordberg, and I. Claesson, “An Energy-efficient Signaling and Detection Scheme for Transmitted Reference UWB Systems”, INCC’08 Inter. Networking and Comm. Conf., May 1-4, 2008, LUMS, Lahore, Pakistan
  • G. Khan, J. Nordberg, and I. Claesson, “A Doublet-Shift Transmitted Reference Scheme for Ultra- Wideband Communication Systems”, Proceedings of ICUWB’07, IEEE International Conf. UWB, Sep. 24-26, 2007, Singapore.
  • G. Khan, J. Nordberg, and I. Claesson, “Detection of Impulse Radio Ultra-Wideband Signals using Recursive Transmitted Reference Receivers”, IEEE International Conference on UWB, September 24-26, 2007, Singapore.
  • G. Khan, J. Nordberg, A. Mohammed, and I. Claesson, “Performance evaluation of RAKE receiver for UWB systems using measured channels in industrial environments”, AusWireless’06, March 2006. Sydney, Australia.
  • G. Khan, A. A. Ashraf, J. Karedal, F. Tufvesson, and A. F. Molisch, “Measurements and Analysis of UWB Channels in Industrial Environments”, In Proc. Wireless Personal Multimedia Comm. (WPMC), Sept. 2005, Denmark.

Collaborations at National and International Level

Detail of Funded Projects