Qualifications
- PhD / DPhil (Northumbria University)
- FHEA (University of Hull)
Summary
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 school of computer science, University of Hull. Khalid is leading various modules (Digital Disruption and Innovation, Python programming, Fundamentals of Robotics), designing content, setting up assessments. Before this, he worked Post-Doctoral Research Fellow at the University of Lincoln, Lincoln. He was responsible for assuring robot autonomy toward safety aspects in the project called MeSAPro. In this project, he ensured robotic safety through human-robot interaction for the robots used in the strawberry collection. Khalid completed my PhD from Northumbria University in 2020 on Autonomous parking in intelligent smart cities, where he was awarded a fully funded PhD studentship in 2017 under research development framework. He has also worked with Northumbria University as an Associate Lecturer/Lab Demonstrator for 3 years, where he delivered different courses at the undergraduate and postgraduate levels.
Journal Article
Access Authentication Via Blockchain in Space Information Network
Arshad, M., Jianwei, L., Khalid, M., Khalid, W., Cao, Y., & Khan, F. A. (2024). Access Authentication Via Blockchain in Space Information Network. PLoS ONE, 19(3), Article e0291236. https://doi.org/10.1371/journal.pone.0291236
Deep reinforcement learning based Evasion Generative Adversarial Network for botnet detection
Randhawa, R. H., Aslam, N., Alauthman, M., Khalid, M., & Rafiq, H. (2024). Deep reinforcement learning based Evasion Generative Adversarial Network for botnet detection. Future generations computer systems : FGCS, 150, 294-302. https://doi.org/10.1016/j.future.2023.09.011
Autonomous valet parking optimization with two-step reservation and pricing strategy
Hu, Z., Cao, Y., Li, X., Zhu, Y., Khalid, M., & Ahmad, N. (2023). Autonomous valet parking optimization with two-step reservation and pricing strategy. Journal of Network and Computer Applications, 219, Article 103727. https://doi.org/10.1016/j.jnca.2023.103727
Research interests
Autonomous/Electric vehicles
Autonomous Parking in Future Smart Cities
Applied AI in Autonomy
IoT in Future Smart Cities
AI-based Decision Making in IoT devices
Autonomous Transportation for Emergency Medical Services
Machine Learning in Wireless Networks
Machine Learning in Digital Health
Wireless communication
Robotics
Postgraduate supervision
PhD Students:
1. Ahmeed Farhan, Tumor detection using deep learning.
2. Haylay Hatton, Efficient 3D printing processes.
3. Franky George, GANs using DRL for improved autonomous transportation.
4. Waqas Ahmad RL for emergency autonomous transportation system.
5. Muneeb Anjum, Long term robot autonomy in adverse conditions.
6. Yingxiu Chang, Drone Navigation in GPS denied areas.