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Bodong Shang 尚博东

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Assistant Professor
College of Information Science and Technology,
Eastern Institute for Advanced Study (EIAS), Eastern Institute of Technology (EIT), Ningbo
Email: bdshang@eitech.edu.cn
Address: Kaiyuan New Youth Plaza East, No. 568 Tongxin Road,
Zhuangshi Street, Zhenhai District,
Ningbo, Zhejiang, China.

Note

Openings: We are always on the lookout for highly motivated research assistant professor, PostDocs, Ph.D. students, research assistants, and research interns interested in working on cutting-edge problems in wireless communications, wireless networks, and machine learning. Now we have joint Ph.D. programs with Shanghai Jiao Tong University (SJTU), Hong Kong Polytechnic University (PolyU), and University of Science and Technology of China (USTC). Interested applicants with a solid mathematical background and an aptitude for fundamental research are encouraged to contact Prof. Shang with a resume and related materials.

Please follow this link for more information [Openings.]. Please feel free to contact me for more details.

Current Research Interests

6G, Wireless Communications and Networking, Internet of Things (IoT)

  • Space-Air-Ground-Sea Integrated Networks (SAGSIN)

  • Non-Terrestrial Networks (NTN)

  • Satellite Commnications and Networking

  • Internet of Vehicles (IoV), Vehicle-to-Everything (V2X)

  • Edge Computing

Brief Biography

    Bodong Shang is an Assistant Professor (Ph.D. Supervisor) at Eastern Institute for Advanced Study (EIAS), Eastern Institute of Technology (EIT), Ningbo, China. He was a postdoctoral research associate at Carnegie Mellon University, Pittsburgh, USA. He received his Ph.D. degree from the Department of Electrical and Computer Engineering at Virginia Tech, Blacksburg, USA, his M.S. degree in the School of Telecommunications Engineering at Xidian University, Xi’an, China, and his B.Eng. degree in the School of Information Science and Technology at Northwest University, Xi’an, China. He received the Chinese government award for outstanding self-financed students abroad and held a summer research internship position at Nokia Bell Labs, USA. His current research areas are wireless communications and networking, including 6G, space-air-ground-sea integrated networks, non-terrestrial networks, internet-of-vehicles, and edge computing.

Selected Publications

  1. B. Shang, Y. Yi, and L. Liu, “Computing over Space-Air-Ground Integrated Networks: Challenges and Opportunities,” in IEEE Network, vol. 35, no. 4, pp. 302-309, July/August 2021.

  2. B. Shang, E. Bentley, and L. Liu, “UAV Swarm-Enabled Aerial Reconfigurable Intelligent Surface: Modeling, Analysis, and Optimization,” in IEEE Transactions on Communications, 2022, vol. 71, no. 6, pp. 3621-3636, June 2023.

  3. H. Zhang, Y. Yang, B. Shang, and P. Zhang, "Joint Resource Allocation and Multi-Part Collaborative Task Offloading in MEC Systems," in IEEE Transactions on Vehicular Technology, vol. 71, no. 8, pp. 8877-8890, Aug. 2022.

  4. J. Feng, Q. Pei, F. R. Yu, X. Chu, and B. Shang, "Computation Offloading and Resource Allocation for Wireless Powered Mobile Edge Computing with Latency Constraint," in IEEE Wireless Communications Letters, vol. 8, no. 5, pp. 1320-1323, Oct 2019.

  5. B. Shang, L. Liu, H. Chen, J. C. Zhang, S. Pudlewski, E. S. Bentley and J. D. Ashdown, “Spatial Spectrum Sensing in Uplink Two-Tier User-Centric Deployed HetNets,” in IEEE Transactions on Wireless Communications, vol. 19, no. 12, pp. 7957-7972, Dec. 2020.

  6. B. Shang, L, Liu, R. M. Rao, V. Marojevic, and J. H. Reed, "3D Spectrum Sharing for Hybrid D2D and UAV Networks," in IEEE Transactions on Communications, vol. 68, no. 9, pp. 5375-5389, Sept. 2020.

  7. J. Ma, B. Shang, H. Song, Y. Huang, and P. Fan, "Reliability Versus Latency in IIoT Visual Applications: A Scalable Task Offloading Framework," in IEEE Internet of Things Journal, vol. 9, no. 17, pp. 16726-16735, 1 Sept.1, 2022.

  8. B. Shang, L. Liu, "Mobile Edge Computing in the Sky: Energy Optimization for Air-Ground Integrated Networks,” in IEEE Internet of Things Journal, vol. 7, no. 8, pp. 7443-7456, Aug. 2020.

  9. L. Liu, J. Feng, Q. Pei, C. Chen, Y. Ming, B. Shang, and M. Dong, “Blockchain-enabled Secure Data Sharing Scheme in Mobile Edge Computing: An Asynchronous Advantage Actor-Critic Learning Approach," in IEEE Internet of Things Journal, vol. 8, no. 4, pp. 2342-2353, 15 Feb.15, 2021.

  10. B. Shang, L. Liu, and Z. Tian, “Deep Learning-Assisted Energy-Efficient Task Offloading for Vehicular Edge Computing Systems,” in IEEE Transactions on Vehicular Technology, vol. 70, no. 9, pp. 9619-9624, 2021.


Full list of publications.