Projects per year
Personal profile
Personal profile
Dr. Gordon Owusu Boateng is an Assistant Professor at the Department of Communications and Networking at XJTLU, Suzhou, China. He received his Bachelor's degree in Telecommunications Engineering from the Kwame Nkrumah University of Science and Technology (KNUST), Kumasi-Ghana, in 2014. He received his M.Eng. degree and Ph.D. degree in Computer Science and Technology from the University of Electronic Science and Technology of China (UESTC) in 2019 and 2023, respectively. Before joining XJTLU in April 2025, he was a Postdoctoral Researcher at the Hybrid Positioning Research Group (HPRG), UESTC, from 2023 to 2024, and a Postdoctoral Fellow at the KU 6G Research Center, Khalifa University, Abu Dhabi, from 2024 to 2025. From 2014 to 2016, he worked as a Site Engineer (contractor) for Ericsson (Ghana) and TIGO (Ghana).
Till now, Gordon has co-authored over 50 SCI papers in top journals such as IEEE Communications Surveys and Tutorials (COMST), IEEE Transactions on Mobile Computing (TMC), IEEE Transactions on Vehicular Technology (TVT), IEEE Transactions on Intelligent Vehicles (T-IV), IEEE Transactions on Network and Service Management (TNSM), IEEE Transactions on Services Computing (TSC), IEEE Internet of Things Journal (IoT-J), IEEE Communications Magazine (COMMAG), IEEE Systems Journal, and Elsevier's Journal of Network and Computer Applications (JNCA) and Future Generation Computer Systems (FGCS). He has also published and presented at top conference venues such as the IEEE International Conference on Communications (INFOCOM) and the IEEE Global Communications Conference (GLOBECOM). Dr. Gordon serves as a peer reviewer for over 40 IEEE, Elsevier, and ACM journals. He is currently a Guest Editor for the Special Issue: Positioning and Sensing Technologies for Ubiquitous Mobile Intelligence at MDPI Sensors and a Chair at the Connected and Autonomous Vehicles (CAVs): Intelligent Communications, Network, and Service Management Workshop at the 22nd International Wireless Communications & Mobile Computing (IWCMC), which will be held in Shanghai, China on 1-6 June, 2026.
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Excellent Reviewer of IEEE Transactions on Network Science and Engineering, 2022
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UESTC International Students' Academic Achievement Awards 2022, First Prize
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UESTC International Students' Academic Achievement Awards 2020, First Prize
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UESTC International Students' Academic Achievement Awards 2018, First Prize
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Institute of Electrical and Electronics Engineers (IEEE) - Member
- Association for Computing Machinery (ACM) - Professional Membership
Prospective Students:
I am seeking self-motivated students to work with me on LLM-assisted Collaborative Perception for Intelligent Parking Scheduling and Path Planning in Automated Valet Parking and Charging (AVPC) Systems; FYP and Master's students are welcome to reach out via the following email: Gordon.Boateng@xjtlu.edu.cn
Research interests
Dr. Gordon's research interests include 5G/6G wireless networks, Automated Valet Parking and Charging (AVPC), Large Language Models (LLMs), Reinforcement Learning (RL), vehicular networks, target positioning, blockchain technology, and game theory.
Related documents
Education/Academic qualification
PhD, University of Electronic Science and Technology of China (UESTC)
Sept 2019 → Jun 2023
Master, University of Electronic Science and Technology of China (UESTC)
Sept 2017 → Jun 2019
Bachelor, Kwame Nkrumah University of Science and Technology
Aug 2010 → Jun 2014
External positions
Postdoctoral Fellow, Khalifa University of Science and Technology
5 Aug 2024 → 20 Mar 2025
Postdoctoral Researcher, University of Electronic Science and Technology of China (UESTC)
30 Nov 2023 → 1 Sept 2024
Research areas
- Automated Valet Parking and Charging
- Large Language Models
- 6G Vehicular Networks
- Wireless Communications
- Reinforcement Learning
- Blockchain
- Target Positioning
- Game Theory
Keywords
- TL Motor vehicles. Aeronautics. Astronautics
- Automated Valet Parking
- Electric Vehicles
- Unmmaned Aerial Vehicles
- Vehicular Networks
- LLM
Person Types
- Staff
Expertise related to UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):
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SDG 7 Affordable and Clean Energy
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SDG 9 Industry, Innovation, and Infrastructure
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SDG 11 Sustainable Cities and Communities
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Collaborations and top research areas from the last five years
Projects
- 1 Active
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LLM-assisted Collaborative Perception for Intelligent Parking Scheduling and Path Planning in AVPC Systems
Boateng, G. (PI)
1/01/26 → 31/12/28
Project: Internal Research Project
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A Hybrid Reinforcement Learning-Guided Grey Wolf Optimizer for UAV Path Planning
Gao, J., Owusu Boateng, G., Dong*, Q., Wang, J. & Zhu, L., 2026, The 22nd International Wireless Communications & Mobile Computing Conference.Research output: Chapter in Book or Report/Conference proceeding › Conference Proceeding › peer-review
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AI-native cloud-edge orchestration for 6G metaverse networks: an LLM-guided multi-agent DRL approach
Ayepah-Mensah, D., Ghebreziabiher, A. K., Boateng, G. O., Mizouni, R., Mourad, A., Otrok, H. & Bentahar, J., Apr 2026, In: Complex and Intelligent Systems. 12, 4, 141.Research output: Contribution to journal › Article › peer-review
Open Access1 Citation (Scopus) -
An RL-Based Adaptive Parameter Control Particle Swarm Optimization Algorithm for UAV Path Planning
Xin, M., Zhang, Z., Dong*, Q., Hu, B., Owusu Boateng, G. & Duan, X., 2026, The 35th International Conference on Computer Communications and Networks (ICCCN 2026).Research output: Chapter in Book or Report/Conference proceeding › Conference Proceeding › peer-review
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A Q-learning-based Algorithm for UAV Path Planning under Obstacle Constraints and Wind Disturbances
Zeng, Z., Owusu Boateng, G., Dong*, Q., Yu, L., Li, J. & Xia, J., 2026, The 22nd International Wireless Communications & Mobile Computing Conference.Research output: Chapter in Book or Report/Conference proceeding › Conference Proceeding › peer-review
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A Self-Supervised Masked Autoencoder Leveraging Temporal-Frequency Representation for CSI Localization
Liu, Y., Si, H., Boateng, G. O., Guo, X., Qian, B. & Ansari, N., 2026, (Accepted/In press) In: IEEE Transactions on Network Science and Engineering.Research output: Contribution to journal › Article › peer-review