AESE Group, Department of Computing, Imperial College London, South Kensington Campus, Room: ACEX-254

Contact Information


Dr Mohammad Heggo

Research Associate

Imperial College

Mohammad Heggo joined the works as a research associate at the Computing Department, Imperial College of London, UK, in June 2019, where he explored a new research area named RF Shadowing. This area studies the interaction between RF signals and our surrounding environment and how different objects can leave their shadow on the transmitted electromagnetic signal. This area has many applications that include but are not limited to machine condition monitoring, human health monitoring, and UAV self-monitoring. His current research interests include the following: 

  • Analysis & simulation of electromagnetic waves interaction with a different object using numerical simulation tools such as ANSYS HFSS.
  • Design, simulation and fabrication of RF sensor antennas.
  • Design of advanced signal processing algorithms to analyse the scattered signal from the sensed targets to extract specific features.
  • Design micro-RF sensors in the mm-wave bands available in the 5G and beyond standards.
  • Implement communication systems and signal processing algorithms using embedded system programming.

Dr Heggo had his BSc and MSc degrees in Electrical Engineering and Electronics from Ain Shams University, Cairo, Egypt. Afterwards, he was awarded his PhD in 2017 from the Department of Electrical Engineering & Electronics, University of Liverpool (UoL), UK. His PhD was funded through a collaborative research program between UoL, UK and A*STAR Institute in Singapore, where he investigated building a cooperative MIMO communication system that integrates broadband powerline and TVWS wireless communication infrastructure.

After PhD, Dr Heggo joined the Rolls-Royce University technology centre (UTC) at the Department of Automatic Control and Systems Engineering, Sheffield University, in 2016. At Rolls-Royce UTC, he shared in developing a wireless sensor network to monitor the vibration of the surface of gas turbine engines in extreme conditions during the flight of jet planes. In 2017, Dr Heggo joined the EEE department of Manchester University in the EPSRC research-funded project “HOME”, which mainly studies the development of innovative technologies to monitor offshore wind turbines. In this project, Dr Heggo studied the high electromagnetic field effect on the navigation of inspection drones inside the windfarms converter stations. Dr Heggo published the results of his research work in academic papers in highly reputable and peer-reviewed journals and conferences, spanning different communications and signal processing applications for future IoT and sensor networks.

Selected Publications:


  • M. Heggo, L. Bhatia, and J.A. McCann. “RFTacho: Non-intrusive RF monitoring of rotating machines.”, The International Conference on Information Processing in Sensor Networks (IPSN), May 2022, Milan, Italy.
  • M. Heggo, A. Mohammed, J. Melecio, K. Kabbabe, P. Tuohy, S. Watson, S. Djurovic, “The Operation of UAV Propulsion Motors in the Presence of High External Magnetic Fields”, Robotics Journal, June 2021.
  • M. Heggo, X. Zhu, S. Sun, and Y. Huang, “TV White Space Regulated Power Line Communication for Internet-of-Things Applications: A Standard Perspective,” IEEE Internet of Things Journal, October, 2018.
  • M. Heggo, X. Zhu, S. Sun, and Y. Huang, “TV White Space assisted Broadband Power Line Communication for Indoor MIMO Systems,” Journal of The Franklin Institute, April 2018.
  • M. Heggo, X. Zhu, S. Sun, and Y. Huang, “White Broadband Power Line Communication: Exploiting the TVWS for Indoor Multimedia Smart Grid Applications,” International Journal of Electrical Power and Energy Systems, May 2017.
  • M. Heggo, X. Zhu, Y. Huang, and S. Sun, “Modeling of VHF Current Conversion from Excited Antenna Mode to Differential Mode at Transmission Line Terminals,” IEEE Transactions on Electromagnetic Compatibility, August 2016.
  • M. Heggo, X. Zhu, S. Sun, and Y. Huang, “Point-to-Multi-Point Hybrid TV White Space-Power Line Communication for Indoor Broadband Networks,” submitted to IEEE Transactions on Wireless Communications.


X. Zhu, Z. Kainan, and M. Heggo. “Hybrid Wireless-Power Line Communications for Indoor IoT Networks”, Artech House, 2020.


M. Heggo, J. McCann, “Device and Method for Determining the Rotational Speed of a Machine” GB2101989.8, Filing Date: 12 February 2021.


  1. 2017


    University of Liverpool, UK
  2. 2010


    Ain Shams University, Egypt
  3. 2006


    Ain Shams University, Egypt

Professional Experience

  1. 2006-2013
    Senior embedded system engineer
    ElSewedy Electrometer, Egypt


  • 2013 - 2017
    Ph.D. Scholarship
    University of Liverpool, UK & Agency for Science, Technology and Research (A*STAR), Singapore