莫磊/ 男  博士    全体教师,硕士生导师
姓名:莫磊
地点:四牌楼校区中心楼
电话:
教师主页:
邮箱:lmo@seu.edu.cn
基本信息

莫磊,男,广东中山人。2013年毕业于华南理工大学自动化科学与工程学院,获得工学博士学位(导师:胥布工教授)。随后赴浙江大学控制科学与工程学院、法国国立信息与自动化研究所(INRIA)从事博士后研究,并于2019年加入东南大学自动化学院。现为美国电气电子工程师协会(IEEE)会员、美国计算机协会(ACM)会员、中国自动化学会(CAA)会员、中国计算机学会(CCF)会员。

主要研究方向为网络化系统(如信息物理系统CPS、无线传感器网络WSN)中的估计与控制、资源调度、任务映射、边缘计算、近似计算、可靠性设计,及其在实际系统中的应用。近年来,在工业物联网、电路与系统、智能交通、云计算等领域相关国际期刊(IEEE Transactions on Industrial InformaticsIEEE Transactions on Reliability、IEEE Internet of Things JournalIEEE Transactions on Computer Aided-Design of Integrated Circuits and SystemsIEEE Journal on Emerging and Selected Topics in Circuits and SystemsIEEE Transactions on Intelligent Transportation Systems、IEEE Transactions on Cloud Computing、ACM Transactions on Sensor Networks)和国际会议(DATE、CODES+ISSS、ICCDRTASIFAC World Congress)上,发表学术论文四十余篇。此外,还担任了国际SCI期刊KSII Transactions on Internet and Information Systems、International Journal of Ad Hoc and Ubiquitous Computing副编委(Associate Editor),国际SCI期刊IEEE AccessActuators客座编委(Guest Editor),二十余次学术会议技术程序委员会委员(TPC Member),以及多个国际期刊和会议审稿人。

作为项目负责人,主持了国家自然科学基金青年项目、中国博士后基金、浙江大学工业控制技术国家重点实验室开放课题、百度-东南大数据研究课题、江苏省智能网联汽车产业开放课题等研究项目,并作为主要研究人员参与了国家自然科学基金-广东联合重点项目、国家自然科学基金、海外和港澳学者合作基金、欧盟H2020等研究项目。曾获东南大学至善青年学者(A层次)、南京市留学人员科技创新择优资助(B层次)、华南理工大学一等奖学金、华南理工大学E+H企业奖学金、华南理工大学优秀研究生、华南理工大学优秀博士论文创新基金、浙江大学高水平国际学术会议基金等奖励。


教育背景
工作经历
  • 2020至现在,东南大学,自动化学院,副教授

  • 2019至2020,东南大学,自动化学院,讲师

  • 2017至2019,法国国立信息与自动化研究所(INRIA Rennes),博士后,合作导师:Prof. Olivier Sentieys、Prof. Angeliki Kritikakou

  • 2015至2016,法国国立信息与自动化研究所(INRIA Nancy),博士后,合作导师:Prof. Yeqiong Song

  • 2013至2015,浙江大学,控制科学与工程学院,博士后,合作导师:孙优贤院士(IFAC Fellow)、陈积明教授(IEEE Fellow)

学术兼职
  • 学会成员

IEEE会员(IEEE Member

ACM会员(ACM Member

中国自动化学会会员(CAA Member

中国计算机学会会员(CCF Member)

中国人工智能学会会员(AAI Member)


  • 专委会委员

中国自动化学会工业网联网技术与应用专委会委员

中国自动化学会青年工作委员会委员

江苏省计算机协会系统结构专委会委员


  • 期刊副主编(Associate Editor

KSII Transactions on Internet and Information Systems(SCI)

International Journal of Ad Hoc and Ubiquitous Computing(SCI)


  • 期刊客座编委(Guest Editor

IEEE Access(SCI), Special Issue on ``Security and Privacy for Vehicular Networks''

Actuators(SCI), Special Issue on ``Wireless Sensor-Actuator Networks''

Electronics(SCI),Special Issue on ``Design, Control, Optimization, and Security of Next-Generation Communications Networks''

Journal of Computer Networks and Communications, Special Issue on ``Emerging Technologies for the Internet of Things''


  • 期刊审稿人

IEEE Systems Journal,IEEE Network Magazine,IEEE Internet of Things Journal,IEEE Transactions on Industrial Informatics,IEEE Transactions on Communications,IEEE Transactions on Industrial Electronics,IEEE Transactions on Systems, Man, and Cybernetics: Systems,IEEE/CAA Journal of Automatica Sinica,ACM Transactions on Design Automation of Electronic Systems,IET Control Theory & Applications,IET Cyber-Physical Systems: Theory & Applications, Journal of the Franklin Institute,Asia Journal of Control,Wireless Networks,etc.


 

所获奖励

东南大学至善青年学者(2020年度)

南京市留学人员科技创新择优资助(2021年度)

江苏省科技副总(2022年度)

刘德祥,赵一鸣,张新宇,莫磊,第二十四届中国机器人及人工智能大赛(江苏赛区),一等奖,2022

刘德祥,赵一鸣,张新宇,莫磊,第二十四届中国机器人及人工智能大赛(全国赛区),二等奖,2022

李昕镁,张靖怡,周子怡,莫磊,东南大学第一届研究生电子设计竞赛,三等奖,2023

李勃翰,高艺玮,何新杰,王忻艺,高庆,莫磊,第九届中国研究生智慧城市技术与创意设计大赛,三等奖,2023

顾一凡,彭晨华,周健鑫,赵一鸣,张新宇,莫磊,首届全国集群智能技术挑战赛,三等奖,2023

第四届国际自主无人系统大会优秀论文,2024

讲授课程

本科生课程:《数字与逻辑设计》

本科生课程:《控制工程系统综合设计》

本科生课程:《形势与政策》

学生培养
  • 博士研究生 

2018级,崔敏玉(CSC-ENS博士生)


  • 硕士研究生

2024级,赵琳琳,姚景鑫,周俊杰

2023级,宋珩衍,朱浩彤,周健鑫

2022级,周子怡,张靖怡,顾一凡,赵明军

2021级,李昕镁,彭楚君,张新宇,赵一鸣

2020级,陈雪莹,刘德祥

2018级,周琦


  • 本科生

2020届,张靖怡,南京航天航空大学优秀毕业论文

2019届,李昕镁,四川大学优秀毕业论文


研究兴趣

信息物理融合系统,资源调度,任务映射,可靠性设计


科研项目
  1. 江苏省自然科学基金面上项目,SBK20242028,多核嵌入式信息物理系统能量优化实时任务可靠映射方法研究,2024-9至2027-9,主持

  2. 百度-东南大数据研究项目,YNNS-DNDX2023022401,烟草商业供应链金融数字化研究与应用,2023-1至2023-12,主持

  3. 企业委托横向项目:AGV自动搬运系统控制器底层驱动系统移植与开发,2023-1至2023-12,主持

  4. 科技部国家重点研发计划青年科学家项目,2022YFF0902800,虚实融合下的边缘智能服务理论与方法研究,2022-12至2025-12,参与

  5. 南京市留学人员科技创新项目,基于资源优化调度的智能交通系统端-边-云协同机制研究,2021-8至2022-8,主持

  6. 江苏省智能网联汽车产业创新联盟开放课题,ORP-2021-001,C-V2X车路协同交互应用场景及测试评价方法研究,2021-1至2021-12,主持

  7. 百度-东南大数据研究项目,2022015OT03895,新冠疫情大数据分析,2020-8至2021-8,主持

  8. 浙江大学工业控制技术国家重点实验室开放课题,ICT20058,基于异构节点协同工作的CPS信息安全机制研究,2020-1至2020-12,主持

  9. 欧盟Horizon 2020研究项目,ANR-15-CE25-0015,Approximative Flexible Circuits and Computing for IoT,2017-1至2019-12,参与

  10. 国家自然科学基金委员会,青年科学基金项目,61403340,无线传感器/执行器网络资源优化与协调控制研究,2015-1至2017-12,主持

  11. 中国博士后科学基金,2014M551742,无线传感器/执行器网络中的资源优化调度研究,2014-6至2016-6,主持

  12. 欧盟Horizon 2020研究项目,ANR-10-INTB-0206,SATELOR Lorraine Regional AME Project (e-health),2014-1至2016-12,参与

论文发表

一、期刊论文

  1. Yiming Zhao, Lei Mo, and Ji Liu, Multi-task scheduling in vehicular edge computing: a multi-agent reinforcement learning approach. CCF Transactions on Pervasive Computing and Interaction, pp. 1-25, 2024. DOI 10.1007/s42486-024-00162-z (EI)

  2. Lei MoXinmei Li, Angeliki Kritikakou, and Xiaojun Zhai. Contention and reliability-aware energy efficiency task mapping on NoC-based MPSoCs. IEEE Transactions on Reliability (TR), pp. 1-15, 2024. DOI 10.1109/TR.2024.3377732 (SCI, IF 5.9, CCF C)

  3. Lei MoXinmei Li, Angeliki Kritikakou, and Pengcheng You. Optimal IC task mapping to maximize QoS on heterogeneous multicore systems. IEEE Transactions on Circuits and Systems-II: Express Briefs (TCAS-II), vol. 71, no. 4, pp. 2019-20232024. (SCI, IF 4.4)

  4. Chaoqun Yang, Lei Mo, Xianghui Cao, Heng Zhang, and Zhiguo Shi. A labeled RFS-based framework for multiple integrity attackers detection and identification in cyber-physical systems. IEEE Internet of Things Journal (JIOT)vol. 10, no. 21, pp. 19244-192562023. (SCI, IF 9.515, CCF C)

  5. Lei MoQi Zhou, Angeliki Kritikakou, and Xianghui Cao. Energy optimized task mapping for reliable and real-time networked systems, ACM Transactions on Sensor Networks (TOSN), vol. 19, no. 4, pp. 1-262023. (SCI, IF 2.560, CCF B)

  6. Ji Liu, Lei Mo, Sijia Yang, Jingbo Zhou, Shilei Ji, Haoyi Xiong, and Dejing Dou. Data placement for multi-tenant data federation on the cloud, IEEE Transactions on Cloud Computing (TCC), vol. 11, no. 2, pp. 1414-1429, 2023. (SCI, IF 5.938, CCF C)

  7. Ji Liu, Xuehai Zhou, Lei Mo, Shilei Ji, Yuan Liao, Zheng Li, Qin Gu, and Dejing Dou. Distributed and deep vertical federated learning with big data, Concurrency and Computation: Practice and Experiencevol. 35, no. 21, pp. 1-152023. (SCI, CCF C)

  8. Minyu Cui, Angeliki Kritikakou, Lei Mo, and Emmanuel Casseau. Near-optimal energy-efficient partial-duplication mapping of real-time parallel applications, Journal of Systems Architecture (JSA), vol. 134, pp. 1027902023. (SCI, IF 5.836, CCF B)

  9. Xinmei Li, Lei Mo, Angeliki Kritikakou, and Olivier Sentieys. Approximation-aware task deployment on heterogeneous multi-core platforms with DVFS, IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems (TCAD)vol. 42, no. 7, pp. 2108-2121, 2023. (SCI, IF 2.565, CCF A)

  10. Ji Liu, Carlyna Bondiombouy, Lei Mo, and Patrick Valduriez. Two-phase scheduling for efficient vehicle sharing, IEEE Transactions on Intelligent Transportation Systems (TITS)vol. 23, no. 1, pp. 457-470, 2022(SCI, IF 6.319, CCF B)

  11. Minyu Cui, Angeliki Kritikakou, Lei Mo, and Emmanuel Casseau. Energy-efficient partial-duplication task mapping under multiple DVFS schemes, International Journal of Parallel Programming, vol.50, pp. 267-294, 2022. (SCI)

  12. Lei Mo, Angeliki Kritikakou, Olivier Sentieys, and Xianghui Cao. Real-time imprecise computation tasks mapping for DVFS-enabled networked systems, IEEE Internet of Things Journal (JIOT), vol. 8, no. 10, pp. 8246-8258, 2021. (SCI, IF 9.515, CCF C)

  13. Lei Mo, Pengcheng You, Xianghui Cao, Yeqiong Song, and Angeliki Kritikakou. Event-driven joint mobile actuators scheduling and control in cyber-physical systems, IEEE Transactions on Industrial Informatics (TII), vol. 15, no. 11, pp. 5877-5891, 2019. (SCI, IF 7.377CCF C)

  14. Lei Mo, Angeliki Kritikakou, and Shibo He. Energy-aware multiple mobile-chargers coordination for wireless rechargeable sensor networks, IEEE Internet of Things Journal (JIOT), vol. 6, no. 5, pp. 8202-8214, 2019. (SCI, IF 9.515, CCF C)

  15. Lei Mo, and Angeliki Kritikakou. Mapping imprecise computation tasks on cyber-physical systems, Peer-to-Peer Networking and Applications, vol. 6, no. 12, pp. 1726-1740, 2019. (SCI, CCF C)

  16. Lei Mo, Angeliki Kritikakou, and Olivier Sentieys. Energy-quality-time optimized task mapping on DVFS-enabled multicores, IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems (TCAD), vol. 37, no. 11, pp. 2428-2439, 2018. (SCI, IF 2.565, CCF A)

  17. Lei Mo, Angeliki Kritikakou, and Olivier Sentieys. Controllable QoS for imprecise computation tasks on DVFS multicores with time and energy constraints, IEEE Journal on Emerging and Selected Topics in Circuits and Systems (JETCAS), vol. 8, no. 4, pp. 708-721, 2018. (SCI, IF 3.433)

  18. Lei Mo, Xianghui Cao, Yeqiong Song, and Angeliki Kritikakou. Distributed node coordination for real-time energy-constrained control in wireless sensor and actuator networks, IEEE Internet of Things Journal (JIOT), vol. 5, no. 5, pp. 4151-4163, 2018. (SCI, IF 9.515, CCF C)

  19. Lei Mo, and Bugong Xu. Adaptive filtering based collaborative actuation for wireless sensor and actuator networks, International Journal of Ad Hoc and Ubiquitous Computing, vol. 20, no. 4, pp. 223-236, 2015. (SCI)

  20. Lei Mo, and Bugong Xu. Coordination mechanism based on mobile actuator design for wireless sensor and actuator networks, Wireless Communications and Mobile Computing, vol. 15, pp. 1274-1289, 2015. (SCI)

  21. Hua Liu, Liu Guiyun, Yonggui Liu, Lei Mo, and Hongbin Chen. Adaptive quantization for distributed estimation in energy-harvesting wireless sensor networks: a game-theoretic approach, International Journal of Distributed Sensor Networks, vol. 2014, pp. 1-9, 2014. (SCI)

  22. Lei Mo, Bugong Xu, Xiaoping You, and Longqing Liu. Distributed lighting system based on wireless sensor and actuator network, Ad Hoc and Sensor Wireless Networks, vol. 20, no. 2, pp. 21-46, 2013. (SCI)

  23. Lei Mo, and Bugong Xu. Node coordination mechanism based on distributed estimation and control in wireless sensor and actuator networks, Journal of Control Theory and Applications. vol. 11, no. 4, pp. 570-578, 2013. (EI)

  24. Lei Mo, and Bugong Xu. Distributed collaborative processing under communication delay over wireless sensor and actuator networks, International Journal of Computers, Communications and Control, vol. 7, no. 4, pp. 1841-9836, 2012. (SCI)

  25. Lei Mo, and Bugong Xu. Energy optimization strategy for target tracking in wireless sensor networks, Journal of South China University of Technology (Natural Science Edition), vol. 39, no. 7, pp. 13-20, 2011. (EI)

  26. Lei Mo, and Bugong Xu. Realization of collaborative scheduling over wireless sensor networks target tracking platform, Journal of Systems Engineering and Electronics, vol. 33, no. 5, pp. 1129-1134, 2011. (EI)

二、会议论文 

  1. Yuan Gao, Heng Zhang, Xin Wang, Zhemin Sun, Chaoqun Yang, Lei Mo, Ming Yang, and Xiaoming Wu, Data collection scheme for UAV in industrial environments with limited communication. International Conference on Autonomous Unmanned Systems (ICAUS), Shenyang, China, pp. 1-12, 2024. (EI)

  2. Yifan Gu, Chenhua Peng, Jianxin Zhou, Lei Mo, Chaoqun Yang, and Heng Zhang, A lightweight UAV delivering order method based on dynamic environmental information, International Conference on Autonomous Unmanned Systems (ICAUS), Shenyang, China, pp. 1-10, 2024. (EI)

  3. Chenhua Peng, Mufeng Wang, Ji Liu, Lei Mo, and Dan Niu, Energy-efficient real-time DAG task scheduling on multicore platform by deep reinforcement learning, IEEE International Conference on Communications in China (ICCC). Hangzhou, China, pp. 1-6, 2024. (EI)

  4. Zizheng Zhang, and Lei Mo, ADLG: an adaptive deep leakage from gradients in federated learning. Youth Academic Annual Conference of Chinese Association of Automation (YAC), Dalian, China, pp. 1-6, 2024. (EI) 

  5. Xinyu Zhang, Lei MoJi Liu, Jie Han, and Mufeng Wang, Heuristic global path planning algorithm based on neighborhood information fusion transformer. Chinese Control Conference (CCC), Kunming, China, pp. 1-7, 2024. (EI)

  6. Mingjun Zhao, Lei Mo, Ji Liu, Jie Han, and Dan Niu. GAT-based deep reinforcement learning algorithm for real-time task scheduling on multicore platform. Chinese Control and Decision Conference (CCDC), Xi'an, China, pp. 1-6, 2024. (EI)

  7. Chujun Peng, Lei Mo, Ji Liu, and Dan Niu. Thermal-aware approximate real-time task scheduling for multicore embedded systems. China Automation Congress (CAC), Chongqing, China, pp. 6439-6444, 2023. (EI)

  8. Yiming Zhao, Lei Mo, and Ji Liu. Path planning based on traffic flow prediction for vehicle scheduling. IEEE International Conference on Communications in China (ICCC). Dalian, China, pp. 1-6, 2023. (EI)

  9. Xinyu Zhang, Lei Mo, and Ji Liu. Scheduling algorithm based on fallback strategy for multiple time constraints carpooling service, Chinese Control and Decision Conference (CCDC), Yichang, China, pp. 182-187, 2023. (EI)

  10. Lei Mo, Qi Zhou, Angeliki Kritikakou, and Ji Liu. Energy efficient, real-time and reliable task deployment on NoC-based multicores with DVFS, IEEE/ACM Design, Automation and Test in Europe (DATE), Antwerp, Belgium, pp. 1347-1352, 2022. (EI, CCF B)

  11. Dexiang Liu, Guodong Hua, and Lei Mo. Painted PIXOR: a real-time multi-sensor fusion object detection pipeline for autonomous vehicles, Youth Academic Annual Conference of Chinese Association of Automation (YAC), Beijing, China, pp. 1357-1362, 2022. (EI) 

  12. Minyu Cui, Angeliki Kritikakou, Lei Mo, and Emmanuel Casseau. Near-optimal energy-efficient partial-duplication task mapping of real-time parallel applications, International Conference on Reliable Software Technologies (AEiC), Ghent, Belgium, pp. 1-30, 2022. (EI)

  13. Dexiang Liu, Xueying Chen, Guodong Hua, and Lei Mo. A novel safety-enabled belief-based behavioral decision-making method for autonomous driving, China Automation Congress (CAC), Beijing, China, pp. 5813-5818, 2021. (EI)

  14. Xueying Chen, Dexiang Liu, Guodong Hua, and Lei Mo. A safety lane change method based on sensor data fusion designed for assistance driving, China Automation Congress (CAC), Beijing, China, pp. 5819-5823, 2021. (EI)

  15. Minyu Cui, Angeliki Kritikakou, Lei Mo, and Emmanuel Casseau. Fault-tolerant mapping of real-time parallel applications under multiple DVFS schemes, IEEE Real-Time and Embedded Technology and Applications Symposium (RTAS), Nashville, Tennessee, United States, pp. 387-399, 2021. (EI, CCF B)

  16. Qi Zhou, Lei Mo, and Xianghui Cao. Energy optimization for DVFS-enabled CPS through reliable and real-time task mapping, China Automation Congress (CAC), Shanghai, China, pp. 5832-5837, 2020. (EI)

  17. Minyu Cui, Lei Mo, Angeliki Kritikakou, and Emmanuel Casseau. Energy-aware partial-duplication task mapping under real-time and reliability constraints, International Conference on Embedded Computer Systems: Architectures, Modeling and Simulation (SAMOS), Pythagoreio, Greece, pp. 213-227, 2020. (EI)

  18. Lei Mo, Angeliki Kritikakou, and Olivier Sentieys. Approximation-aware task deployment on asymmetric multicore processors, IEEE/ACM Design, Automation and Test in Europe (DATE), Florence, Italy, pp. 1492-1497, 2019. (EI, CCF B)

  19. Lei Mo, Angeliki Kritikakou, and Olivier Sentieys. Energy-quality-time optimized task mapping on DVFS-enabled multicores, International Conference on Hardware Software Codesign and System Synthesis (CODES+ISSS), Torino, Italy, pp.1-8, 2018. (EI, CCF B)

  20. Lei Mo, Angeliki Kritikakou, and Xianghui Cao. Collaborative state estimation and actuator scheduling for cyber-physical systems under random multiple events, International Conference on Ad Hoc Networks and Wireless (AdHoc-Now), Saint Malo, France, pp. 120-132, 2018. (EI)

  21. Lei Mo, Angeliki Kritikakou, and Olivier Sentieys. Decomposed task mapping to maximize QoS in energy-constrained real-time multicores, IEEE International Conference on Computer Design (ICCD), Boston, United States, pp. 493-500, 2017. (EI, CCF B)

  22. Lei Mo, Pengcheng You, Xianghui Cao, Yeqiong Song, and Jiming Chen. Decentralized multi-charger coordination for wireless rechargeable sensor networks, IEEE International Performance Computing and Communications Conference (IPCCC), Nanjing, China, pp. 1-8, 2015. (EI, CCF C)

  23. Lei Mo, Xianghui Cao, Jiming Chen, and Youxian Sun. Collaborative estimation and actuation for wireless sensor and actuator networks, World Congress of the International Federation of Automatic Control (IFAC), Cape Town, South Africa, pp. 5544-5549, 2014. (EI)

  24. Longqing Liu, Bugong Xu, Lei Mo, and Xiaoping You. A collaborative light control system considering uniformity and illuminance in WSANs, IFAC International Conference on Intelligence Control and Automation Science (ICONS), Kunming, China, pp. 315-320, 2013. (EI)

  25. Lei Mo, and Bugong Xu. Collaborative training mechanism design for wireless sensor and actuator networks, International Conference on Intelligent Robotics and Applications (ICIRA), Montreal, Canada, pp. 154-163, 2012. (EI)

  26. Lei Mo, and Bugong Xu. Dynamic collaborative processing based on event-driven task allocation in wireless sensor and actuator networks, Chinese Control Conference (CCC), Hefei, China, pp. 6567-6573, 2012. (EI)

  27. Lei Mo, and Bugong Xu. Distributed collaborative processing based on task allocation for wireless sensor and actuator networks, World Congress on Intelligent Control and Automation (WCICA), Beijing, China, pp. 1887-1892, 2012. (EI)

三、中文论文

  1. 韩杰,张雷,莫磊,实验室用电安全管理系统设计,《实验室研究与探索》,43(10): 40-44, 2024.

  2. 梁潇洧,杨超群,朱鑫潮,莫磊,曹向辉,基于群结构集成势均衡多目标多伯努利滤波器的群目标跟踪算法,《信号处理》,1-15,2024.

  3. 钟镇宇,莫磊,多机械臂协同控制工业数字孪生平台构建研究,国家工业软件大会(NISC),1-6,2024.

  4. 顾一凡,莫磊,一种基于运动状态的轨迹预测方法,《计算机应用研究》,1-7,2024.

  5. 吴霁霖,金慧,李昕镁,莫磊,面向隐私保护的联邦学习任务优化调度研究,《网络空间安全》,1-6,2024.

四、著作章节

  1. Lei Mo, Angeliki Kritikakou, and Olivier Sentieys. Imprecise computation task mapping on multi-core wireless sensor networks, Encyclopedia of Wireless Networks, Springer, 2018.

  2. Lei Mo, Angeliki Kritikakou, and Xinmei Li. Energy-efficient, reliable and QoS-aware task mapping on Cyber-Physical Systems, IEEE Technical Committee on Cyber-Physical Systems, 2021.

五、会议特邀报告

  1. 35届中国自动化学会青年学术年会(YAC),广东湛江,特邀专题:信息物理系统,报告题目:近似计算任务在多核嵌入式平台上的优化分配与执行,2020.

六、授权发明专利

  1. 莫磊,刘德祥,陈雪莹,华国栋,一种基于车载多源传感器概率融合的自动驾驶变道行为决策方法,2022ZL202111288406.0

  2. 莫磊,赵一鸣,张新宇,一种基于交通流预测与实际路况的车辆路径规划方法,2023,ZL202211283846.1

  3. 莫磊,周琦,李昕镁,曹向辉;一种多核嵌入式系统的网络节点任务映射方法,2024,ZL202110705825.3

  4. 莫磊,李昕镁,周琦,曹向辉;一种近似计算任务在多核异构处理平台上基于能量和QoS联合优化的任务映射方法,2024,ZL202110827931.9