白小山      特聘研究员

性别:

邮箱: baixiaoshan@szu.edu.cn

办公室: 机电大楼S810

人才称号: 深圳市海外高层次人才

最终学位: 博士

办公电话: 0755-26656730

导师资格: 博士生导师

研究领域:

   多机器人/无人机/无人车辆协同任务分配,智能仓储,路径规划,决策控制,运筹学,优化算法,智能优化算法,启发式算法等。  
   欢迎对上述研究领域相关方向感兴趣、勤奋踏实的同学报考控制工程专业硕士研究生、智能系统与智能制造博士研究生;同时面向上述相关研究方向(但不限制)诚聘博士后,综合年薪33万元左右,优秀博士后可以申请额外9.6万元的生活补贴。感兴趣者请将个人简历及代表作论文发送我邮箱,期待你的加入!                                                    




主讲本科课程:

《机器人工程设计与实践》、《自动化前沿讲座》、《专业导论》、《C程序设计》

主讲研究生课程:

《最优化设计》、《论文写作指导》

教育背景:

2015.09–2018.11, 格罗宁根大学,科学与工程学院,博士,导师: Ming Cao 教授(IEEE Fellow)
2015.01–2015.07, 新加坡国立大学,电气与计算机工程系,访问学者,导师: Shuzhi Sam Ge 教授(IEEE Fellow,新加坡工程院院士)
2012.09–2019.12, 西北工业大学,航海学院,硕博连读,导师: 严卫生 教授





工作履历:

2023.08–至今, 深圳大学,机电与控制工程学院,特聘研究员,深圳市自主无人系统与智能操作(深大-西工大)联合实验室副主任
2021.02–2023.07, 深圳大学,机电与控制工程学院,特聘副研究员,深圳市自主无人系统与智能操作(深大-西工大)联合实验室副主任
2020.09–2021.01, 深圳大学,机电与控制工程学院,助理教授
2019.08–2020.08, 代尔夫特理工大学,机械、海运及材料工程学院,博士后,导师: Javier Alonso-Mora 教授
2018.11–2019.07, 格罗宁根大学,科学与工程学院,研究助理,导师: Ming Cao 教授(IEEE Fellow)

主持项目:

1. 教育部中国高校产学研创新基金(2024ZY008),2025.08-2027.07,在研,主持
2. 国家自然科学基金面上项目(62373255),2024.01-2027.12,在研,主持
3. 广东省自然科学基金面上项目(2024A1515011204),2024.01-2026.12,在研,主持
4. 深圳市海外高层次人才科研项目(827000757),2023.01-2025.12,在研,主持
5. 深圳市稳定支持面上项目(20220809175803001),2022.10-2024.09,结题,主持
6. 教育部中国高校产学研创新基金(2021ZYB05001),2022.07-2023.12,结题,主持
7. 国家自然科学基金青年基金项目(62003217),2021.01-2023.12,结题,主持

代表期刊论文 :

以第一作者/通讯作者在机器人、自动化领域国际知名权威期刊IEEE Transactions on Robotics、IEEE Transactions on Transportation Electrification、IEEE Transactions on Systems, Man and Cybernetics: System、IEEE Transactions on Automation Science and Engineering、Engineering Applications of Artificial Intelligence、Ocean Engineering和IEEE Robotics and Automation Letters等知名期刊上发表代表性SCI论文50余篇,其中知名IEEE Transactions汇刊论文17篇,具体如下:
[1] Xiaoshan Bai, Baode Li, Jianqiang Li, Zongze Wu, Weidong Zhang, and Shuzhi Sam Ge. Efficient Routing for Multi-Truck Multi-Drone Package Delivery with Precedence Constraints [J]. IEEE Transactions on Robotics, 2025, 41:6514-6528. (中科院大类1区SCI, IF=10.5, TOP期刊,机器人领域三大知名期刊之一)
[2] Stephen Arockia Samy, Premraj Durairaj, Ahmad Ali, Zongze Wu, Jianqiang Li, Xiaoshan Bai*. Secure fuzzy-based H∞ consensus control for nonlinear multi-agent systems under quantized sampled-data mechanism and its applications[J]. Engineering Applications of Artificial Intelligence, 2025, 162: 112715. (中科院大类1区SCI, IF=8.7, TOP期刊)
[3] Stephen Arockia Samy, HM Yasir Naeem, Inam Ullah, Xiaoshan Bai*, Zongze Wu, Jianqiang Li. Secure aperiodic sampling delay H∞ consensus control for TS fuzzy multi-agent systems with actuator faults: Its application to intelligent multi-ship steering unmanned pilots[J]. Ocean Engineering, 2025, 345: 123620. (中科院大类2区SCI, IF=5.5, TOP期刊)
[4] Xiaoshan Bai, Baode Li, Inam Ullah, Zongze Wu, Shakila Basheer, Ali Kashif Bashir. Energy-efficient routing for IoT-enabled multi-truck multi-drone pickup and delivery systems[J]. Applied Energy, 2025, 400: 126546. (中科院大类1区SCI, IF=11.0, TOP期刊)
[5] Hafiz Muhammad Yasir Naeem, Qadeer Ahmed; Yasir Awais Butt, Aamer Iqbal Bhatti, Li Qiu, Xiaoshan Bai*. Optimizing Energy and Battery-Health Using Route, Allocation and Velocity Planning for a Multi-Electric Vehicle System[J]. IEEE Transactions on Transportation Electrification, 2025. (中科院大类1区SCI, IF=8.3, TOP期刊)    
[6] Ahmad Ali, Hafiz Muhammad Yasir Naeem, Amin Sharafian, Li Qiu, Zongze Wu, Xiaoshan Bai*. Dynamic multi-graph spatio-temporal learning for citywide traffic flow prediction in transportation systems[J]. Chaos, Solitons & Fractals, 2025, 199(3): 116898. (中科院大类1区SCI, IF=5.6, TOP期刊)
[7] Mesfin Leranso Betalo, Inam Ullah, Fiseha Berhanu Tesema, Zongze Wu, Jianqiang Li, Xiaoshan Bai*. Generative AI-Driven Multi-Agent DRL for Task Allocation in UAV-Assisted EMPD within 6G-Enabled SAGIN Networks[J]. IEEE Internet of Things Journal, 2025, 12(17) : 35890-35907. (中科院大类2区SCI, IF=8.9, TOP期刊)
[8] Ahmad Ali, Inam Ullah, Shabir Ahmad, Zongze Wu, Jianqiang Li, Xiaoshan Bai*. An Attention-driven Spatio-Temporal Deep Hybrid Neural Networks for Traffic Flow Prediction in Transportation Systems[J]. IEEE Transactions on Intelligent Transportation Systems, 2025, 26(9): 14154-14168. (中科院大类2区SCI, IF=8.4, TOP期刊,高被引论文)
[9] Inam Ullah, Irshad Khalil, Xiaoshan Bai*, Sahil Garg, Georges Kaddoum, M. Shamim Hossain. An Ensemble-based Hybrid Model for the Detection of Attacks in the Internet of Vehicular Things[J]. IEEE Transactions on Intelligent Transportation Systems, 2025, 26(10): 17914-17927. (中科院大类2区SCI, IF=8.4, TOP期刊)
[10] Xiaoshan Bai, Haoyu Jiang, Chao Li, Inam Ullah, Maryam M. Al Dabel, Ali Kashif Bashir, Zongze Wu, Shuzhi Sam Ge. Efficient Hybrid Multi-Population Genetic Algorithm for Multi-UAV Task Assignment in Consumer Electronics Applications[J]. IEEE Transactions on Consumer Electronics, 2025, 71(2): 2395-2406. (中科院大类2区SCI, IF=10.9)
[11] Ahmad Ali, Inam Ullah, Sushil Kumar Singh, Weiwei Jiang, Fahad Alturise, Xiaoshan Bai*. Attention-Driven Graph Convolutional Networks for Deadline-Constrained Virtual Machine Task Allocation in Edge Computing[J]. IEEE Transactions on Consumer Electronics, 2025, 71(2):5595-5605. (中科院大类2区SCI, IF=10.9)
[12] Amin Sharafian, Hafiz Muhammad Yasir Naeem, Inam Ullah, Ahmad Ali, Li Qiu, Xiaoshan Bai*. Resilience to deception attacks in consensus tracking control of incommensurate fractional-order power systems via adaptive RBF neural network[J]. Expert Systems with Applications, 2025, 283:127763. (中科院大类1区SCI, IF=7.5, TOP期刊)
[13] Stephen Arockia Samy, Jae Hoon Jeong, Xiaoshan Bai*, Young Hoon Joo*. Reliable memory sampled-data control for leader-following consensus of nonlinear multi-agent systems and its application[J]. Mathematics and Computers in Simulation, 2025,283: 361-382. (中科院大类2区SCI, IF=4.4, TOP期刊)
[14] Mesfin Leranso Betalo, Supeng Leng, Abegaz Mohammed Seid, Hayla Nahom Abishu, Aiman Erbad, Xiaoshan Bai*. Dynamic Charging and Path Planning for UAV-Powered Rechargeable WSNs Using Multi-Agent Deep Reinforcement Learning[J]. IEEE Transactions on Automation Science and Engineering, 2025, 22:15610-15626. (中科院大类2区SCI, IF=6.4)
[15] Li Qiu*, Zhixing Shao, Lingtao Dong, Xiaoshan Bai*. Dual-mode model predictive control for constrained networked control system with DoS attacks and disturbances[J]. IEEE Transactions on Automation Science and Engineering, 2025, 22: 14987-14996. (中科院大类2区SCI, IF=6.4)
[16] Inam Ullah, Asra Noor, Muhammad Abbas, Sahil Garg, Bong Jun Choi*, Mohammad Mehedi Hassan, Xiaoshan Bai*. Optimizing smart city services by utilizing appropriate characteristics of digital twin for urban excellence[J]. Alexandria Engineering Journal, 2025, 122: 399-410. (中科院大类2区SCI, IF=6.8)
[17] Inam Ullah, Sushil Kumar Singh, Deepak Adhikari, Habib Khan, Weiwei Jiang, Xiaoshan Bai*. Multi-Agent Reinforcement Learning for task allocation in the Internet of Vehicles: Exploring benefits and paving the future[J]. Swarm and Evolutionary Computation, 2025, 94:101878. (中科院大类2区SCI, IF=8.5)
[18] 白小山, 佘桉奇, 郑心泉, 吴宗泽*. 基于改进最小边际代价算法的多USV多AUV任务分配[J]. 控制与决策, 2025, 40(1):119-127. (控制领域三大中文核心期刊之一、中国科技期刊卓越行动计划项目)
[19] Bo Zhang, Guobin Li, Jiale Zhang, Xiaoshan Bai*. A reliable traversability learning method based on human-demonstrated risk cost mapping for mobile robots over uneven terrain[J]. Engineering Applications of Artificial Intelligence, 2024, 138: 109339. (中科院大类1区SCI, IF=8.0, TOP期刊)
[20] Amin Sharafian, Ahmad Ali, Inam Ullah, Tarek R. Khalifa, Xiaoshan Bai*, Li Qiu. Fuzzy Adaptive Control for Consensus Tracking in Multiagent Systems with Incommensurate Fractional-Order Dynamics: Application to Power Systems[J]. Information Sciences, 2024, 689: 121455. (中科院大类2区SCI, IF=6.8)
[21] Ahmad Ali, Inam Ullah, Mohammad Shabaz, Amin Sharafian, Muhammad Attique Khan, Xiaoshan Bai*, Li Qiu. A Resource-Aware Multi-Graph Neural Network for Urban Traffic Flow Prediction in Multi-Access Edge Computing Systems[J]. IEEE Transactions on Consumer Electronics, 2024, 70(4): 7252-7265. (中科院大类2区SCI, IF=10.9)
[22] Amin Sharafian, Inam Ullah, Sushil Kumar Singh, Ahmad Ali, Habib Khan, Xiaoshan Bai*. Adaptive fuzzy backstepping secure control for incommensurate fractional order cyber-physical power systems under intermittent denial of service attacks[J]. Chaos, Solitons & Fractals, 2024, 186: 115288. (中科院大类1区SCI, IF=5.6, TOP期刊)
[23] Inam Ullah, Deepak Adhikari, Farhad Ali, Ahmad Ali, Habib Khan, Amin Sharafian, Suresh Manic Kesavan, Xiaoshan Bai*. Revolutionizing E-Commerce With Consumer-Driven Energy-Efficient WSNs: A Multi-Characteristics Approach[J]. IEEE Transactions on Consumer Electronics, 2024, 70(4): 6871-6882. (中科院大类2区SCI, IF=10.9)
[24] Xiaoshan Bai, Chang Li, Bo Zhang, Zongze Wu, Shuzhi Sam Ge. Efficient Performance Impact Algorithms for Multi-Robot Task Assignment with Deadlines[J]. IEEE Transactions on Industrial Electronics, 2024, 71(11): 14373-14382. (中科院大类1区SCI, IF=7.2, TOP期刊)
[25] Inam Ullah, Deepak Adhikari, Habib Khan, M. Shahid Anwar, Shabir Ahmad, Xiaoshan Bai*. Mobile robot localization: Current challenges and future prospective[J]. Computer Science Review, 2024, 53: 100651. (中科院大类1区SCI, IF=12.7, TOP期刊,高被引论文)
[26] Hafiz Muhammad Yasir Naeem, Aamer Iqbal Bhatti, Yasir Awais Butt, Qadeer Ahmed, Xiaoshan Bai*. Energy Efficient Solution for Connected Electric Vehicle and Battery Health Management Using Eco-driving Under Uncertain Environmental Conditions[J]. IEEE Transactions on Intelligent Vehicles, 2024, 9(4): 4621-4631. (中科院大类1区SCI, IF=14.3, TOP期刊)
[27] Xiaoshan Bai, Youqiang Ye, Bo Zhang, Shuzhi Sam Ge. Efficient Package Delivery Task Assignment for Truck and High Capacity Drone[J]. IEEE Transactions on Intelligent Transportation Systems, 2023, 24(11): 13422-13435. (中科院大类2区SCI, IF=8.4, TOP期刊)
[28] Xiaoshan Bai, Andres Fielbaum, Maximilian Kronmuller, Luzia Knoedler, Javier Alonso-Mora. Group-based Distributed Auction Algorithms for Multi-Robot Task Assignment[J]. IEEE Transactions on Automation Science and Engineering, 2023, 20(2): 1292-1303. (中科院大类2区SCI, IF=6.4, 荣获该期刊2024年唯一最佳论文奖)
[29] Xiaoshan Bai, Weisheng Yan, Shuzhi Sam Ge. Distributed task assignment for multiple robots under limited communication range[J]. IEEE Transactions on Systems, Man, and Cybernetics: Systems, 2022, 52(7): 4259-4271. (中科院大类1区SCI, IF=8.7, TOP期刊)
[30] Zhe Chen, Javier Alonso-Mora, Xiaoshan Bai*, Daniel D Harabor, Peter J Stuckey. Integrated Task Assignment and Path Planning for Capacitated Multi-Agent Pickup and Delivery[J]. IEEE Robotics and Automation Letters, 2021, 6(3): 5816-5823. (中科院大类2区SCI, IF=5.3)
[31] Xiaoshan Bai, Ming Cao, Weisheng Yan, Shuzhi Sam Ge, Xiaoyu Zhang. Efficient Heuristic Algorithms for Single-Vehicle Task Planning With Precedence Constraints[J]. IEEE Transactions on Cybernetics, 2021, 51(12): 6274-6283. (中科院大类1区SCI, IF=10.5, TOP期刊)
[32] Xiaoshan Bai, Weisheng Yan, Shuzhi Sam Ge. Efficient Task Assignment for Multiple Vehicles with Partially Unreachable Target Locations[J]. IEEE Internet of Things Journal, 2021, 8(5):3730-3742. (中科院大类2区SCI, IF=8.9, TOP期刊)
[33] Xiaoshan Bai, Ming Cao, Weisheng Yan. Event-and time-triggered dynamic task assignments for multiple vehicles[J]. Autonomous Robots, 2020, 44(5): 877-888. (中科院大类3区SCI, IF=4.3, 机器人领域知名期刊)
[34] Xiaoshan Bai, Ming Cao, Weisheng Yan, Shuzhi Sam Ge. Efficient Routing for Precedence-Constrained Package Delivery for Heterogeneous Vehicles[J]. IEEE Transactions on Automation Science and Engineering, 2020, 17(1): 248-260. (中科院大类2区SCI, IF=6.4)
[35] Xiaoshan Bai, Weisheng Yan, Shuzhi Sam Ge, Ming Cao. An integrated multi-population genetic algorithm for multi-vehicle task assignment in a drift field[J]. Information Sciences, 2018, 453: 227-238. (中科院大类2区SCI, IF=6.8)
[36] Xiaoshan Bai, Weisheng Yan, Ming Cao. Clustering-based algorithms for multivehicle task assignment in a time-invariant drift field[J]. IEEE Robotics and Automation Letters, 2017, 2(4): 2166-2173. (中科院大类2区SCI, IF=5.3)

代表会议论文:

[1] Xiaoshan Bai, Haoyu Jiang, Bo Zhang, Zongze Wu. An Improved Multi-Population Genetic Algorithm for Multi-Robot Task Assignment With Complex Precedence Constraints[C]//International Conference on Autonomous Unmanned Systems. Singapore: Springer Nature Singapore, 2024: 589-601.
[2] Xiaoshan Bai, Jiahao Zou, Bo Zhang, Zongze Wu. Improved Adaptive Large Neighborhood Search Algorithm for Multi-robot Task Assignment with Precedence Constraints[C]//International Conference on Autonomous Unmanned Systems. Singapore: Springer Nature Singapore, 2024: 602-612.
[3] Xiaoshan Bai, Yisheng Fang, Bo Zhang, Zongze Wu. Self-organizing Maps and Large Neighborhood Search Based Task Assignment for Multiple Unmanned Surface Vehicles[C]//International Conference on Autonomous Unmanned Systems. Singapore: Springer Nature Singapore, 2024: 576-588.
[4] Xiaoshan Bai, Baode Li, Fuqiang Liu, Li Qiu, Guangzhong Cao. Efficient Heuristic Algorithm for Precedence-Constrained Multi-Robot Task Assignment[C]. IEEE 43th Chinese Control Conference (CCC), 2024, 4504-4509.
[5] Xiaoshan Bai, Weisheng Yan, Ming Cao, Dong Xue. Heterogeneous multi-vehicle task assignment in a time-invariant drift field with obstacles[C]. IEEE 56th Annual Conference on Decision and Control (CDC), 2017, 307-312.
[6] Xiaoshan Bai, Weisheng Yan, Ming Cao, Jie Huang. Task assignment for robots with limited communication[C]. IEEE 36th Chinese Control Conference (CCC), 2017, 6934-6939.
[7] Weisheng Yan, Xiaoshan Bai, Xingguang Peng, Lei Zuo, Jiguo Dai. The routing problem of autonomous underwater vehicles in ocean currents[C]. IEEE OCEANS 2014-TAIPEI, 2014, 1-6.

代表专利:

1. 白小山,邹嘉豪,张卫东,邱丽,吴宗泽,李坚强; 基于多维变邻域搜索算法的多机器人任务分配方法,2025-09-26,中国发明专利,ZL202510318715.X(已受权)
2. 白小山,姜浩宇,张卫东,吴宗泽,李坚强,葛树志; 时序约束下基于改进大邻域搜索的多机器人任务分配方法,2025-01-03,中国发明专利,ZL202411188602.4(已受权)
3. 白小山,邹嘉豪,张卫东,吴宗泽,李坚强,葛树志; 基于改进多种群遗传算法的多机器人任务分配方法,2025-01-03,中国发明专利,ZL202411061832.4(已受权)
4. 白小山,吴锐伟,张卫东,吴宗泽,李坚强,葛树志; 一种基于改进变邻域下降的多卡车多无人机任务分配方法,2024-10-11,中国发明专利,ZL202410808657.4(已受权)
5. 白小山,方一胜,张卫东,吴宗泽,李坚强,葛树志; 基于自组织映射的多无人水面艇任务分配方法,2024-09-10,中国发明专利,ZL202410826003.4(已授权)
6. 白小山,佘桉奇,张卫东,吴宗泽,李坚强,葛树志; 基于改进边际代价的多水面船多水下机器人任务分配方法,2024-09-10,中国发明专利,ZL202410826007.2(已授权)
7. 白小山,李宝德,刘尊,李坚强,吴宗泽,葛树志; 时序约束下多卡车多无人机包裹投递任务分配方法,2024-06-21,中国发明专利,ZL202410390352.6(已授权)
8. 白小山,崔晓龙,张博,李坚强,曹广忠; 一种时间窗约束下的卡车无人机任务分配方法,2024-04-30,中国发明专利,ZL202410177518.6(已授权)
9. 白小山,李畅,张博,吴宗泽,葛树志; 救援时间限制下基于性能影响的多机器人任务分配方法,2024-04-26,中国发明专利,ZL202311616584.0(已授权)
10. 白小山,吴锐伟,张博,吴宗泽; 基于节约里程和边际代价的多卡车多无人机任务分配方法,2024-03-15,中国发明专利,ZL202311385838.2(已授权)
11. 白小山,李宝德,张博,巩伟杰,何莉; 时序约束下基于边际成本的单卡车单无人机任务规划方法, 2023-12-8,中国发明专利,ZL202310766758.5 (已授权)
12. 白小山,李超,张博,何莉,巩伟杰; 基于多种群遗传算法和局部搜索的多无人机任务分配方法,2023-7-28,中国发明专利,ZL202310533242.6(已授权)
13. 白小山,李宝德,张博,王璨,何莉; 时序约束下基于边际成本的多机器人协同任务分配方法,2023-6-2,中国发明专利,ZL202310273602.3(已授权)

获得荣誉:

IEEE Senior Member
2025 5th International Conference on AutonomousUnmanned Systems (ICAUS 2025) Best Poster Award
2025届深圳大学百篇优秀本科毕业论文设计指导教师
2025年中国机器人及人工智能大赛二等奖(2项)、三等奖(3项),指导教师
2025年中国大学生计算机设计大赛全国三等奖,指导教师
2025年第五届全国高校教师教学创新大赛深圳大学校赛三等奖
2024年度国际电气与电子工程协会自动化科学与工程汇刊唯一最佳论文奖 (IEEE Transactions on Automation Science and Engineering Best Paper Award)
2024年第五届低空经济与无人系统行业金翼奖-低空经济杰出贡献奖
2024年第一届智能制造技术交流会优秀报告三等奖
2024年深圳大学优秀班主任
2024年深圳大学机电学院优秀教师
2024年中国机器人及人工智能大赛二等奖,指导教师
2024年中国大学生计算机设计大赛全国三等奖,指导教师
2022-2023学年深圳大学机电学院优秀班主任
2023年第五届国际青年人工智能大赛-中国赛区选拔赛一等奖
2023年全国大学生智能汽车竞赛创意组优秀指导教师
2023年全国大学生智能汽车竞赛创意组优秀组织奖
2023年全国大学生智能汽车竞赛创意组全国二等奖,指导教师
2023年中国大学生计算机设计大赛全国二等奖,指导教师
2023年度深圳大学机电学院优秀党务工作者
2022年度深圳大学机电学院优秀党务工作者
2021-2022学年深圳大学优秀本科课程奖

主要学术兼职:

1. 担任国家自然科学基金、深圳市科创委同行评议专家;
2. 担任中国自动化学会机器人智能专业委员会委员、中国指挥与控制学会集群智能与协同控制专委会委员、中国仿真学会智能无人系统建模与仿真专业委员会委员;
3. 担任 IEEE Transactions on Consumer Electronics 期刊副主编 (中科院大类2区SCI, IF=10.9)
4. 担任IEEE Transactions on Automatic Control、IEEE Transactions on Industrial Electronics、IEEE Transactions on Industrial Informatics、IEEE Transactions on Robotics、IEEE Transactions on Automation Science and Engineering、IEEE Transactions on Systems, Man and Cybernetics: System 等自动化领域和机器人领域著名SCI期刊和ICRA、IFAC、CDC、ACC等国际国内旗舰学术会议的评审专家,担任国际期刊Automation, Control and Intelligent Systems编委会委员;
5. 担任国际知名会议 ACM Symposium on Applied Computing 分会 Intelligent Robotics and Multi-Agent Systems 会议程序委员会委员、知名会议 IEEE International Conference on Advanced Robotics and Mechatronics (ARM)会议副主编/编委。
 

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