学生需求：

每年招收3名以上研究生，有钻研精神的本科生不限，学生可根据自身情况选择系统研究路线或理论研究路线。

系统研究路线侧重于对深度神经网络的学习与实践、基于图像与视频的目标检测、目标追踪、地图建模、避障、路径搜索等方向，要求具有较高的编程能力和探究精神，表现优异者可以参与到国家重点项目和企业项目中。

理论研究路线侧重于对深度神经网络算法、图神经网络、凸优化算法、AIoT的分析、建模与使用，要求具有较高的逻辑分析、推理能力和钻研精神，表现优异者有机会与国外优秀导师建立长期合作关系。

欢迎对技术、科研有热情的研究生和本科生与我联系！

1. Autonomous UAV (related methods: DNN, CV, RL, etc.)

Study the self-driving, autonomous tracking, trajactory planning and searching problem on a real-implemented UAV, which is highly related to real-time SLAM, deap neural network, computer vision and reinforcement learning, etc.

2. Real-time data retrieval by UAV or mobile devices (related methods: mathmatical analysis, combinatorial optimization, etc.)

Study the data collection problem in IoT systems where robot plans the path or task scheduling to collect information under sevearl constraints such as data freshness, energy budget, communication ranges, etc.

3. RF-based Wireless Charging (related methods: Bandits, mathmatical analysis, etc.)

Sdudy the deployment and trajectory planning problem of charging devices in WSN, to provide controllable power supply to sener nodes instead of replacing the batteries by humans. 

4. Mobile Edge Computing in UAV networks (related methods: system architecture optimization, scheduling, etc.)

Study how to integrate UAV as the computation resource into the mobile edge computing architecture for near data processing, to avoid unnecessary data transmission and improve the network performance.

1.国家自然科学青年基金（主持）

    主题：无线移动网络数据收集

    应用：智能物联网（AIoT），基于图神经网络的无人机/无人车路径规划，移动设备/传感器数据传输等

2.江苏省自然科学青年基金（主持）

    主题：移动充电网络设计与优化

    应用：基于RF-signal的无线电力传输，基于beamforming技术的能量优化，混合能量系统设计与优化等

3.企业项目（主持）

    主题1：无人机3D地图建模

    主题2：基于视觉的低倍缺陷检测

    主题3：智能字符识别

4.国家重点研发项目（参与）

    主题：海量数据汇聚与群智协同

    应用：数据融合技术，图像与视频分类与检测，异常检测，多智能体协同与决策

News!

* One new paper on freshness data retrieval is acceptedin RTSS 2021, CCF A. 

Keep Fresh: Real-time Data Retrieval with Speed Adaptation inMobile Cyber-Physical Systems, ChenchenFu, Xiaoxing Qiu, Zelin Yun, Song Han, Weiwei Wu and JasonXue

* One new paper on joint computing-network resoucescheduling is accepted in RTSS 2021, CCF A. 

Composite Resource Scheduling for Networked ControlSystems, Peng Wu, ChenchenFu#,Tianyu Wang, Minming Li, Yingchao Zhao, Jason Xue and Song Han

Awards & Honors (获奖荣誉)：

江苏省双创博士

东南大学“至善学者”A类

南京市留学择优人才

ACM rising star（新星奖）

[Best PaperNomination] Chenchen Fu; PengWu; Minming Li; Chun Jason Xue; Yingchao Zhao; Song Han, Real-Time DataRetrieval With Multiple Availability Intervals in CPS Under FreshnessConstraints, 2018 International Conference on Embedded Software (EMSOFT), TorinoIncontra, Torino, Italy, 2018.9.30-2018.10.5

Publications (发表文章)（selected）：

(# represents the corresponding author whenit is different from the first author)(#用来表示非一作的通讯作者)

Journals (期刊) 

1. ChenchenFu, Qiangqiang Liu, Peng Wu, Minming Li, Chun Jason Xue,Yingchao Zhao, Jingtong Hu and Song Han. “Real-Time Data Retrieval inCyber-Physical Systems with Temporal Validity and Data AvailabilityConstraints.” IEEE Transactions onKnowledge and Data Engineering (TKDE), 2019. (CCF A, JCR Q1, Impact factor: 3.438)

2. Zimeng Zhou, Chenyun Yu, Sarana Nutanong, Yufei Cui, Chenchen Fu#, ChunJason Xue. “A Hardware- Accelerated Solution for Hierarchical Index-Based MergeJoin” IEEE Transactions onKnowledge and Data Engineering (TKDE), 2019. (CCF A, JCR Q1, Impactfactor: 3.438) 

3. ChenchenFu, Peng Wu, Minming Li, Chun Jason Xue, Yingchao Zhao andSong Han. “Real-Time Data Retrieval with Multiple Availability Intervals in CPSunder Freshness Constraints.” IEEE Transactions onComputer-Aided Design of Integrated Circuits and Systems (TCAD), 2018. (CCF A, JCR Q2, Impactfactor: 1.942)

4. Gruia Calinescu, Chenchen Fu#, Kai Wang, Minming Li andChun Jason Xue. “Energy Optimal Task Scheduling with Normally-off Local Memoryand Sleep-aware Shared Memory with Access Conflict.” IEEE Transactions on Computers(TC), 2018. (CCF A,JCR Q1, Impact factor: 2.916)

5. ChenchenFu, Vincent Chau#, Minming Li and Chun Jason Xue. “Race toIdle or Not: Balancing the Memory Sleep Time with DVS for Energy Minimization.”Journal of Combinatorial Optimization (JOCO), 2018. (JCR Q2, Impact factor:1.235) 

6. Jinyang Li, Yongpan Liu, Hehe Li, Zhe Yuan, Chenchen Fu, JinshanYue, Chun Jason Xue, Jingtong Hu and Huazhong Yang. “PATH: Performance-AwareTask Scheduling for Energy Harvesting Nonvolatile Processors.” IEEE Transactions onVery Large Scale Integration Systems (TVLSI), 2018. (CCF B, JCR Q2, Impactfactor: 1.698)

7. ChenchenFu, Yingchao Zhao, Minming Li and Chun Jason Xue.“Maximizing Common Idle Time on Multi-core Processors with Shared Memory.”IEEE Transactions onVery Large Scale Integration Systems (TVLSI), 2017. (CCF B, JCR Q2, Impactfactor: 1.698) 

8. Mengying Zhao, ChenchenFu, Zewei Li, Qingan Li, Mimi Xie, Yongpan Liu, Jing- tongHu, Zhiping Jia, Chun Jason Xue. “Stack-size Sensitive On-chip Memory Back-upfor Self-powered Non-volatile Processors.” IEEE Transactions onComputer-Aided Design of Integrated Circuits and Systems (TCAD), 2017. (CCF A, JCR Q2, Impactfactor: 1.942) 

9. Keni Qiu, Mengying Zhao, Qing’an Li, Chenchen Fu, ChunJason Xue. “Migration-Aware Loop Retiming for STT-RAM-Based Hybrid Cache inEmbedded Systems.” IEEE Transactions onComputer-Aided Design of Integrated Circuits and Systems (TCAD), 2014. (CCF A, JCR Q2, Impactfactor: 1.942)

Conferences (会议):

10. Zimeng Zhou, ChenchenFu, Chun Jason Xue and Song Han. "Transmit or Discard:Optimizing Data Freshness in Networked Embedded Systems with Energy HarvestingSources." Proceedings of the 54th Annual Design Automation Conference(DAC),2019 (CCF A)

11. Chao Wu, Cheng Ji, Qiao Li, Chenchen Fu, ChunJason Xue: Maximizing I/O throughput and minimizing performance variation viareinforcement learning based I/O merging forSSDs: work-in-progress. Proceedings of the International Conferenceon Compilers, Architecture and Synthesis for Embedded Systems, CASES, 2018. (CCFB)

12. Peng Wu, ChenchenFu, Minming Li, Yingchao Zhao, Chun Jason Xue, SongHan: Work-in-Progress: Joint Network and Computing ResourceScheduling for Wireless Networked Control Systems. Proceedings ofReal-Time Systems Symposium RTSS, 2018. (CCF A)

13. Yu Liang, ChenchenFu, Yajuan Du, Aosong Deng, Mengying Zhao, Liang Shi andChun Jason Xue. “An Empirical Study of F2FS on Mobile Devices” Proceedings ofthe 23rd IEEE International Conference on Embedded and Real-Time ComputingSystems and Applications (RTCSA). 2017.

14. ChenchenFu, Gruia Calinescu, Minming Li, Kai Wang andChun Jason Xue. “Energy-Aware Real-Time Task Scheduling on Local/Shared MemorySystem.” Proceedings of Real-Time Systems Symposium (RTSS), 2016 IEEE. (CCF A) 

15. Hehe Li, Yongpan Liu, Chenchen Fu, ChunJason Xue, Donglai Xiang, Jinshan Yue, Jinyang Li, Daming Zhang, Jingtong Hu,Huazhong Yang. “Performance-Aware Task Scheduling for Energy HarvestingNonvolatile Processors Considering Power Switching Overhead.” Proceedings ofthe 51st Annual Design Automation Conference (DAC). ACM, 2016. (CCF A)

16. ChenchenFu, Minming Li, Chun Jason Xue. “Race to Idle or Not:Balancing the Memory Sleep Time with DVS for Energy Minimization.” Proceedingsof the 2015 Design, Automation & Test in Europe Conference & Exhibition(DATE). EDA Consortium, 2015. (CCF B)

17. ChenchenFu, Yingchao Zhao, Minming Li, Chun Jason Xue. “MaximizingCommon Idle Time on Multi-core Processors with Shared Memory.” Proceedings ofthe 2015 Design, Automation & Test in Europe Conference & Exhibition(DATE). EDA Consortium, 2015. (CCF B)

18. ChenchenFu, Mengying Zhao, Chun Jason Xue, Alex Orailoglu.“Sleep-Aware Variable Partitioning for Energy-Efficient Hybrid PRAM and DRAMMain Memory.” Proceedings of the international symposium on Low powerelectronics and design (ISLPED). ACM, 2014. (CCF C)

19. Keni Qiu, Mengying Zhao, Chenchen Fu, LiangShi, Chun Jason Xue. “Migration-aware Loop Retiming for STT-RAM based HybridCache for Embedded Systems.” Proceedings of IEEE 24th International Conferenceon Application-Specific Systems, Architectures and Processors (ASAP). IEEE,2013. (CCF C)

20. Keni Qiu, Mengying Zhao, Chenchen Fu, ChunJason Xue. “Data Re-allocation Enabled Cache Locking for Embedded Systems.”Proceedings of IFIP/IEEE 21st International Conference on Very Large ScaleIntegration (VLSI-SoC). IEEE, 2013.