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Tong Bai

   


Title: Lecturer
Education: Ph.D.
Office: Hall1 508
Department: Department of Information Countermeasures, School of Cyber Science and Technology
E-mail: tongbai@buaa.edu.cn
Personal homepage: Tong Bai Home

Assistant professor, tutor of PhD, national overseas high-level talent, Beihang "top-notch young talent", and national outstanding international student of the Ministry of Education. He received a bachelor's degree from Northwestern Polytechnical University in 2013, a doctorate from the University of Southampton in 2019, and a postdoctoral research fellow at Queen Mary University of London from 2019 to 2020. In the past five years, he has carried out research on the fields of crowd perception and computing, cloud-edge-end collaborative computing, edge visual intelligence, etc., presided over a project of the National Natural Science Foundation of China, a key research and development project at the municipal level, and other vertical projects and entrusted by enterprises and institutions Several projects, participated in 1 national key research and development project and 2 scientific research projects of the British Engineering and Physics Research Foundation (EPSRC), published a total of 20 papers in internationally renowned journals such as IEEE COMST, IEEE WCM, IEEE COMMAG, IEEE JSAC and IEEE TWC More than 11 papers, including 11 papers/communications (including 1 ESI highly cited paper), published 2 papers in international conferences such as IEEE GLOBECOM/ICC, and Google Scholar cited more than 500 times.

Education Background

  • 2009.09-2013.07 Northwestern Polytechnical University, Bachelor of Engineering

  • 2013.09-2014.11 University of Southampton (UK) master degree

  • 2014.12-2019.03 University of Southampton (UK) Ph.D.

Work Experience

  • 2019.03-2020.07 Postdoctoral Researcher, Queen Mary University of London (UK)

  • 2020.12-now Assistant Professor, School of Cyber Science and Technology, Beihang University

Research Interests

  • Edge Visual Intelligence

  • Cloud-Edge-Device Collaborative Computing

  • Crowd Sensing and Computing

Honors and Awards

  • 2021 Beihang University Special Prize for Teaching Achievements

  • The Eleventh Batch of "Youth Top-notch Talent Support Program" of Beihang University

  • 2019 National Outstanding International Student of the Ministry of Education

Courses

  • Communication Principle

  • Digital Signal Processing

Scientific Research project

  • Research On Reconfigurable Intelligent Surface Communication Technology For Physical Layer Security, National Natural Science Foundation Of China, Host

  • Multi-Node Collaborative Computing Key Technology Research, Municipal Key Research And Development Project, Presided Over

Scientific Research

  1. L. Chai, L. Bai, T. Bai*, J. Choi, W. Zhang, "RIS-Aided SCMA-Based SWIPT Systems: Design and Optimization", IEEE Transaction on Vehicular Technology, 2023. (IF: 6.229, Q1, Top Journal)

  2. L. Bai, Q. Chen, T. Bai*, and J. Wang, UAV-Enabled Secure Multi-User Backscatter Communications with Planar Array, " IEEE Journal on Selected Areas in Communications, 2022.  (IF: 11.42, Q1, Top Journals)

  3. T. Bai, H. Zhang, J. Wang,  C. Xu, M. Elkashlan, A. Nallanathan and L. Hanzo, “Fifty Years of Noise Modeling and Mitigation in Power Line Communications, ” IEEE Communications Surveys and Tutorials, 2021. (IF: 23.7, Q1, Top Journal)

  4. T. Bai, C. Pan, C. Han and L. Hanzo, “Reconfigurable Intelligent Surface Aided Mobile Edge Computing,” IEEE Wireless Communications, 2021. (IF: 11.391, Q1, Top Journal)

  5. T. Bai, C. Pan, J. Wang, Y.  Deng, M. Elkashlan, A. Nallanathan and L. Hanzo, “Dynamic Aerial Base Station Placement for Minimum-Delay Communications,” IEEE Internet of Things Journal, 2021. (IF: 9.936, Q1, Top Journal)

  6. T. Bai, C. Pan, H. Ren, Y. Deng, M. Elkashlan, and A. Nallanathan, “Resource Allocation for Intelligent Reflecting Surface Aided Wireless Powered Mobile Edge Computing in OFDM Systems,” IEEE Transactions on Wireless Communications, 2021. (IF: 6.779, Q1, Top Journal)

  7. T. Bai, C. Pan, Y. Deng, M. Elkashlan, A. Nallanathan, and L. Hanzo, “Latency Minimization for Intelligent Reflecting Surface Aided Mobile Edge Computing,” IEEE Journal on Selected Areas in Communications, vol. 38, no. 11, pp. 1-17, July, 2020. (IF: 11.42, Q1, Top Journal)

  8. C. Xu, T. Bai, J. Zhang, R. Rajashekar, R. G. Maunder, Z. Wang, and L. Hanzo, “Adaptive Coherent/Non-Coherent Spatial Modulation Aided Unmanned Aircraft Systems,” IEEE Wireless Communications, vol. 26, no. 4, pp.170-177, Aug. 2019. (IF: 11.391, Q1, Top Journal)

  9. T. Bai, J. Wang, Y. Ren, and L. Hanzo, “Energy-Efficient Computation Offloading for Secure UAV-Edge Computing Systems,” IEEE Transactions on Vehicular Technology, vol. 68, no . 6, pp. 6074-6087, June 2019. (IF: 5.379, Q1, Top Journal)

  10. T. Bai, H. Zhang, J. Zhang, C. Xu, A. F. Al Rawi, and L. Hanzo, “Impulsive Noise Mitigation in Digital Subscriber Lines: The State-of-the-Art and Research Opportunities,” IEEE Communications Magazine, vol. 57, no. 5, pp.145-151, May, 2019. (IF: 11.052, Q1, Top Journal)

  11. S. Feng, T. Bai, and L. Hanzo, “Joint Power Allocation for the Multi-User NOMA-Downlink in a Power-Line-Fed VLC Network,” IEEE Transactions on Vehicular Technology, vol . 68, no. 5, pp. 5185-5190, May 2019. (IF: 5.379, Q1, Top Journal)

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