古博，ok138cn太阳集团教授、博士生导师，深圳市海外高层次人才，入选斯坦福大学全球前2%顶尖科学家榜单。2004年本科毕业于天津大学计算机科学与技术专业，2007年获北京大学软件工程专业硕士学位，2013年获早稻田大学信息通信专业博士学位。曾任早稻田大学助理教授，日本工学院大学副教授，2019年加入太阳集团tyc9728。研究兴趣包括时空序列预测、移动群智感知网络、毫米波雷达感知、特种车辆无人驾驶。以第一或通讯作者身份在IEEE TMC、IEEE TWC、IEEE TCOM等高水平学术期刊、国际会议上发表论文100余篇，授权国家发明专利20余项，主编教材1部，参与编写英文专著3部。
工作经历
2025/08-至今，ok138cn太阳集团，教授
2024/04-2025/07，太阳集团tyc9728智能工程学院，教授
2019/03-2024/04，太阳集团tyc9728智能工程学院，副教授
2016/04-2019/03，日本工学院大学信息学部，副教授
2016/02-2016/03，华盛顿大学，访问学者
2013/09-2016/03，早稻田大学基础理工学部，助理教授
2009/04-2013/02，早稻田大学，信息通信，博士
2007/10-2009/03，索尼公司（日本），下一代数字家庭网络研发工程师
2004/09-2007/07，北京大学，软件工程，硕士
2000/09-2004/07，天津大学，计算机科学与技术，学士
研究方向
时空序列预测：稀疏流量预测、迁移预测、模型泛化性/轻量化
移动群智感知网络：激励机制设计、数据质量增强、多无人机辅助数据采集
毫米波雷达感知：呼吸心率监测、多目标身份识别、人体行为识别
特种车辆无人驾驶：端到端自动驾驶、大模型、具身智能
（课题组常年招收博士后、博士生、硕士生和优秀本科生，欢迎邮件联系）
讲授课程：计算机网络、智能机器人综合实验、强化学习
近期代表性论文
- D. Zhou, L. Li, S. Gong*, B. Gu, G. Chen and D. Niyato, “Learning Adaptive Jamming and Beamforming for Hybrid IRS-assisted Secure NOMA Transmissions,” IEEE Transactions on Communications, 2025.
- Z. Huang, H. Chen, B. Gu*, S. Gong, Z. Su and M. Guizani, “A Learning-Based Iterative Algorithm for AoI-Optimal Trajectory Planning in UAV-Assisted IoT Networks,” IEEE Transactions on Wireless Communications, 2025.
- Y. Chen, X. Hu, S. Gong, Z. Su and B. Gu*, “Multi-Time Scale Service Caching and Pricing in MEC Systems with Dynamic Program Popularity,” IEEE Internet of Things Journal, 2025.
- J. Li, B. Gu*, S. Gong, Z. Su and M. Guizani, “Can We Enhance the Quality of Mobile Crowdsensing Data Without Ground Truth?,” IEEE Transactions on Mobile Computing, 2025.
- S. Zhao, S. Gong, B. Gu, L. Li, B. Lyu, D.T. Hoang and C. Yi, “Exploiting NOMA Transmissions in Multi-UAV-Assisted Wireless Networks: From Aerial-RIS to Mode-Switching UAVs,” IEEE Transactions on Communications, 2025.
- Z. Lin, X. Zhang, S. Gong, L. Li, Z. Su and B. Gu*, “Matching-Driven Deep Reinforcement Learning for Energy-Efficient Transmission Parameter Allocation in Multi-Gateway LoRa Networks,” IEEE Transactions on Vehicular Technology, 2025.
- Z. Lin, Z. Huang, B. Gu*, S. Gong, Z. Su and M. Guizani, “CORA: Channel Occupancy-Aware Resource Allocation in LoRa Wireless Networks,” IEEE Transactions on Vehicular Technology, 2024.
- Y. Long, S. Zhao, S. Gong, B. Gu, D. Niyato and X. Shen, “AoI-Aware Sensing Scheduling and Trajectory Optimization for Multi-UAV-Assisted Wireless Backscatter Networks,” IEEE Transactions on Vehicular Technology, 2024.
- B. Gu, W. Hu, S. Gong*, Z. Su and M. Guizani, “CBDTF: A Distributed and Trustworthy Data Trading Framework for Mobile Crowdsensing,” IEEE Transactions on Vehicular Technology, 2024.
- B. Gu, J. Zhan, S. Gong*, W. Liu, Z. Su and M. Guizani, “A Spatial-Temporal Transformer Network for City-Level Cellular Traffic Analysis and Prediction,” IEEE Transactions on Wireless Communications, 2023.
- J. Li, B. Gu, Z. Qin and Y. Han, “Graph Tasks Offloading and Resource Allocation in Multi-Access Edge Computing: A DRL-and-Optimization-Aided Approach,” IEEE Transactions on Network Science and Engineering, 2023.
- S. Zhao, Y. Liu, S. Gong, B. Gu, R. Fan and B. Lyu, “Computation Offloading and Beamforming Optimization for Energy Minimization in Wireless-Powered IRS-Assisted MEC,” IEEE Internet of Things Journal, 2023.
- S. Gong, M. Wang, B. Gu*, W. Zhang, D. T. Hoang and D. Niyato, “Bayesian Optimization Enhanced Deep Reinforcement Learning for Trajectory Planning and Network Formation in Multi-UAV Networks,” IEEE Transactions on Vehicular Technology, 2023.
- S. Gong, L. Cui, B. Gu*, B. Lyu, D. T. Hoang and D. Niyato, “Hierarchical Deep Reinforcement Learning for Age-of-Information Minimization in IRS-Aided and Wireless-Powered Wireless Networks,” IEEE Transactions on Wireless Communications, 2023.
- Y. Yao, B. Gu*, Z. Su and M. Guizani, “MVSTGN: A Multi-View Spatial-Temporal Graph Network for Cellular Traffic Prediction,” IEEE Transactions on Mobile Computing, 2023.
- B. Gu*, W. Chen, M. Alazab, X. Tan and M. Guizani, “Multiagent Reinforcement Learning-Based Semi-Persistent Scheduling Scheme in C-V2X Mode 4,” IEEE Transactions on Vehicular Technology, 2023.
- X. Yang, B. Gu*, B. Zheng, B. Ding, Y. Han and K. Yu, “Toward Incentive-Compatible Vehicular Crowdsensing: An Edge-Assisted Hierarchical Framework,” IEEE Network, 2022.
- B. Gu, M. Alazab*, Z. Lin, X. Zhang and J. Huang, “AI-Enabled Task Offloading for Improving Quality of Computational Experience in Ultra-Dense Networks,” ACM Transactions on Internet Technology, 2022.
- J. Huang, Q. Duan, C. Xing, B. Gu, G. Wang, S. Zeadally and E. Baker, “A Fine-Grained Video Traffic Control Mechanism in Software-Defined Networks,” IEEE Transactions on Network and Service Management, 2022.
- Y. Yao, B. Gu*, M. Alazab, N. Kumar and Y. Han, “Integrating Multi-Hub Driven Attention Mechanism and Big Data Analytics for Virtual Representation of Visual Scenes,” IEEE Transactions on Industrial Informatics, 2022.
- K. Yu, L. Lin, M. Alazab, L. Tan and B. Gu, “Deep Learning-Based Traffic Safety Solution for a Mixture of Autonomous and Manual Vehicles in a 5G-Enabled Intelligent Transportation System,” IEEE Transactions on Intelligent Transportation Systems, 2021
- B. Gu*, X. Yang, Z. Lin, W. Hu, M. Alazab and R. Kharel, “Multiagent Actor-Critic Network-Based Incentive Mechanism for Mobile Crowdsensing in Industrial Systems,” IEEE Transactions on Industrial Informatics, 2021.
- B. Gu, X. Zhang, Z. Lin and M. Alazab, “Deep Multiagent Reinforcement-Learning-Based Resource Allocation for Internet of Controllable Things,” IEEE Internet of Things Journal, 2021.
- Z. Zhou, B. Wang, B. Gu*, B. Ai, S. Mumtaz, J. Rodriguez, and M. Guizani, “Time-Dependent Pricing for Bandwidth Slicing under Information Asymmetry and Price Discrimination”, IEEE Transactions on Communications, 2020.
- Z. Zhou, H. Liao, B. Gu*, S. Mumtaz and J. Rodriguez, “Resource Sharing and Task Offloading in IoT Fog Computing: A Contract-Learning Approach,” IEEE Transactions on Emerging Topics in Computational Intelligence, 2020.
- Z. Zhou, C. Zhang, J. Wang, B. Gu, S. Mumtaz and J. Rodriguez, “Energy-Efficient Resource Allocation for Energy Harvesting-Based Cognitive Machine-to-Machine Communications,” IEEE Transactions on Cognitive Communications and Networking, 2019.
B. Gu, and Z. Zhou*, “Task Offloading in Vehicular Mobile Edge Computing: A Matching-Theoretic Framework,” IEEE Vehicular Technology Magazine, 2019.
荣誉获奖情况
2024/09 IEICE Communication Society Distinguished Contributions Award
2024/08 太阳集团tyc97282024年一流本科课程，智能机器人综合实验（课程负责人）
2023/05 中国机器人及人工智能大赛全国总决赛一等奖（指导教师）
2023/05 中国预测控制与智能决策大会优秀论文奖
2023/03 广东省安全生产协会应急与安全科技进步特等奖
2021/08 深圳市海外高层次人才
2020/10 中国计算机学会推荐会议APNOMS 2020最佳论文奖
2019/05 IEEE CSIM 2019最佳期刊论文奖
2019/03 ICM Activity Testimonial
2016/10 中国计算机学会推荐会议APNOMS 2016最佳论文奖
2016/09 IEICE Communications Society Activity Testimonial
2016/03 IEICE Information and Communication Management English Session Encouragement Award
2012/07 IEICE Communication Quality Conference Premium Award
2011/03 IEICE Young Researchers Award
学术兼职
中国国家科技专家库在库专家
中国计算机学会分布式计算与系统专业委员会执行委员
中国指挥与控制学会指挥控制网络专委会委员
日本电子信息通信学会通信质量专业委员会副秘书长、专家级委员
日本技术者教育认定机构评审员
广东省科技咨询专家库在库专家
粤港澳大湾区人工智能产业智库专家
深圳市科技专家库在库专家
IEICE Transactions on Information and Systems（SCI）编委
IEICE Communication Express（SCI）编委
联系方式
电子邮箱：gubo@mail.sysu.edu.cn
通讯地址：广东省珠海市高新区太阳集团tyc9728珠海校区瀚林2号楼508室
邮编：519080
