Dr Muhammad Khalid

Dr Muhammad Khalid


Faculty and Department

  • Faculty of Science and Engineering
  • Department of Computer Science and Technology


  • PhD (Northumbria University)


I am actively looking for potential PhD students, please get in touch m.khalid@hull.ac.uk

Muhammad Khalid is currently working as a Lecturer/Assistant Professor in computer science at the department of computer science and technology, University of Hull. As a lecturer, I am leading different modules, designing content, setting up assessments and supervising students at different levels (Masters and PhD). Before this, I worked Post-Doctoral Research Fellow at the University of Lincoln, Lincoln. I was responsible for assuring robot autonomy toward safety aspects in the project called MeSAPro. In this project, we ensured robotic safety through human-robot interaction for the robots used in the strawberry collection. I have completed my PhD from Northumbria University, where I was awarded a fully funded PhD studentship in 2017. I have also worked with Northumbria University as an Associate Lecturer/Lab Demonstrator for 3 years, where I have delivered different courses at the undergraduate and postgraduate levels.

Guest Editor of Systems Integration in Distributed ITS for Smart Cities, Frontiers in Built Environment


IEEE Intelligent Transportation Systems

IEEE Journal on Internet of Things

IEEE Communication Magazine

IEEE Communication Letters

IEEE Network Magazine

Elsevier Applied Energy

Elsevier Renewable Energy

IET Intelligent Transport System

IET Communications

International Journal of Distributed Sensor Networks


ICT-DM, 2021

ICT-DM, 2020

ICT 2019, Vitenam

IEEE i-Things, USA 2019

IEEE ScalCom, UK 2019

IEEE WF-IoT, Ireland, 2019

IEEE PIMRC, Italy, 2018

IEEE ITNAC, Australia, 2018

Research interests

Autonomous valet parking

Autonomous/Electric vehicles

Smart parking

Machine learning

Wireless communication


Postgraduate supervision

Autonomous Parking in Future Smart Cities

Connected Devices in Future Smart Cities

Autonomous Transportation for Emergency Medical Services

Machine Learning in Wireless Networks

Machine Learning in Digital Health

Machine Learning in Decision Making in IoT devices