معرفی
Zhiguo Ding is a Professor in Communications at the University of Manchester, UK, and holds a Distinguished Adjunct Professor position at Khalifa University. He is also an Academic Visitor at Princeton University, collaborating with Prof. H. Vincent Poor. Prior roles include positions at Queen's University Belfast, Imperial College London, Newcastle University, and Lancaster University.
Education:
- Ph.D. in Electrical Engineering, Imperial College London (2005)
- B.Eng. in Electrical Engineering, Beijing University of Posts and Telecommunications (2000)
Research Interests span 6G Networks, NOMA, Physical Layer Security, Machine Learning for Communications, Beamforming, Cooperative Relaying, and Wireless Caching. His work explores hybrid NOMA architectures, hardware impairments in antenna systems, and cross-layer optimization for security and throughput.
Recent Article Trends focus on Pinching Antenna Systems (2020-2024), Hybrid NOMA for OFDMA, THz-NOMA, and Grant-Free Transmission in IoT. Collaborations with Prof. Poor at Princeton emphasize analytical optimization, CRLB (Cramér-Rao Lower Bound) perspectives, and hardware-aware designs.
Scientific Awards:
- IEEE Fellow (2020)
- Web of Science Highly Cited Researcher (2019-2024)
- IEEE Heinrich Hertz Award (2018)
- IEEE Jack Neubauer Memorial Award (2018)
- EU Marie Curie Fellowship (2012-2014)
- IEEE SPCC Technical Recognition (2021)
- IEEE GLOBCOM 2024 Best Paper Award
Advising includes Ph.D. students like Yujie Ma (Flexible Antenna Systems), Wenqi Huang (NOMA-MEC), and Yushen Lin (NOMA Machine Learning), alongside 12+ past Ph.D. advisees. Grants include EPSRC, EU H2020-RISE, Royal Society, and FP7 Marie Curie funding for projects like Scalable Hybrid Architecture for Wireless Federated Learning (2023-2026) and MANGO (2017-2020).
Labs & Teams: Leads research in NOMA, MIMO, and secure wireless systems at Manchester. Collaborates with IEEE and serves as Area Editor for IEEE TWC, TCOM, and OJ-SP, contributing to standards in 5G/6G and IMT frameworks.
