姓名：陈广
性别：男
出生年月：1986.8
职称：研究员
导师类型：博士生导师
研究方向：自动驾驶、计算机视觉、神经拟态视觉、深度学习
电子邮箱：guangchen@tongji.edu.cn

个人简介
个人简介：
陈广博士于2018年2月加入同济大学汽车学院，入选青年****，博士生导师。加入同济大学之前任德国慕尼黑工业大学fortiss研究所高级研究员。博士毕业于德国慕尼黑工业大学计算机学院，师从欧盟人脑计划副主席Alois Knoll教授和中科院自动化所乔红教授；硕士毕业于湖南大学汽车学院，师从中国工程院副院长、同济大学教授钟志华院士。主要研究方向为神经拟态视觉、计算机视觉、深度学习、自动驾驶。累积发表论文60余篇，专利申请20余项，其中包括IEEE T-SMCA, IEEE T-ITS, IEEE TMECH, IEEE T-IFS, IEEE JAS, IEEE SPM, IEEE TCDS, IEEE IOT Journal,IEEE Sensors Journal等。
学术任职：
1. 《Frontiers in Neurorobotics》 (JCR Q2, IF3.0), Associate Editor, 2018.03 ~
2. 《Engineering-Transactions of CAE》(JCR Q1, IF4.5), Corresponding Expert, 2019.1.1 ~
3.《Frontiers in Neuroscience》(JCR Q1, IF3.648), Editor, 2020.05 ~
4.《Frontiers in Neurorobotics》Research Topic, Leading Editor, 2019
5. IEEE International Conference on Advanced Robotics and Mechatronics (ICARM), Special Session Chair, 2020
6. Co-PhD Supervisor,Lehrstuhl für Robotik, Künstliche Intelligenz und Echtzeitsysteme, Technische Universit?t München
科研项目：
1. 上海市汽车工业基金项目，项目负责人，2018-2020
2. 国家自然科学基金青年科学基金，项目负责人，2020-2022
3. 上海市经信委人工智能创新发展专项重点项目，项目负责人，2018-2020
4. 汽车车身先进设计制造国家重点实验室开放基金，项目负责人，2018-2020
5. 复杂系统管理与控制国家重点实验室开放课题，项目负责人，2019-2021
合作机构：
1. Prof. Alois Knoll, Lehrstuhl für Robotik, Künstliche Intelligenz und Echtzeitsysteme,Technische Universit?t München
2. Prof. Daniel Clarke,Cranfield University
学生科创：
1.同济大学第四届“卓越杯”大学生科技创新竞赛 - 特等奖，指导老师
2.第十六界“挑战杯”上海市大学生课外学术科技作品竞赛 - 一等奖，指导老师
科研进展：
16. 2020.08, our work "Multi-Objective Scheduling Strategy with Genetic Algorithm and Time Enhanced A* Planning for Autonomous Parking Robotics in High-Density Unmanned Parking Lots" has been accepted by the journalIEEE/ASME Transactions on Mechatronics (TMECH) (Impact Factor: 5.673, Top 1 in Mechatronics, JCR Q1)
15. 2020.08, our work NeuroAED: Towards Efficient Abnormal Event Detection in Visual Surveillance with Neuromorphic Vision Sensor has been accepted by the journal IEEE Transactions on Information Forensics & Security (Impact Factor: 6.013, Top 1 in Information Security, JCR Q1, CCF A)
14. 2020.08, our workNeuroIV: Neuromorphic Vision Meets Intelligent Vehicle towards Safe Driving with a New Database and Baseline Evaluationshas been accepted by the journal IEEE Transactions on Intelligent Transportation Systems (Impact Factor: 6.319, Top 1 in Intelligent Transportation, JCR Q1)
13. 2020.07, our work "NeuroBiometric: Eye Blink Based Biometric Authentication System Using Event-based Neuromorphic Vision Sensor" is accepted by the IEEE/CAA Journal of Automatica Sinica (Impact Factor: 5.129, Top Journal in Automation, JCR Q1)
12. 2020.07, our work accepted by the IROS conference
11. 2020.06, our recent work "Pseudo-Image and Sparse Points: Vehicle Detection with 2D LiDAR Revisited by Deep Learning based Methods" has been accepted by the journalIEEE Transactions on Intelligent Transportation Systems (Impact Factor: 6.319, Top 1 in Intelligent Transportation, JCR Q1)
10. 2020.06, our recent work (with TUM) "Improving Low-Resolution Image Classification by Super-Resolution with Enhancing High-Frequency Content" has been accepted by the25th International Conference on Pattern Recognition (ICPR2020) (模式识别国际会议)
9. 2020.06, our recent work "A survey of the four pillars for small object detection: multi-scale representation, contextual information, super-resolution, and region proposal" has been accepted by the journal IEEE Transactions on Systems,Man and Cybernetics: Systems (Impact Factor: 9.309, Top Journal in Computer Science, JCR Q1)
08. 2020.04, 4 papers accepted by the2020 IEEE International Conference on Advanced Robotics and Mechatronics (ARM).
07. 2020.04, our recent work "A Novel Visible Light Positioning System with Event-based Neuromorphic Vision Sensor" has been accepted by the journal IEEE Sensors Journal (Impact Factor: 3.073，Top Journal in Sensors, JCR Q1).
06. 2020.03, our recent work "Event-based Neuromorphic Vision for Autonomous Driving: A Paradigm Shift for Bio-inspired Visual Sensing and Perception" has been accepted by the journal IEEE Signal Processing Magazine (Impact Factor: 11.350, Top 1 in Signal Processing, JCR Q1).
05. 2020.02, our recent work "EDDD: Event-based Drowsiness Driving Detection through Facial Motion Analysis with Neuromorphic Vision Sensor" has been accepted by the journal IEEE Sensors Journal (Impact Factor: 3.073，Top Journal in Sensors, JCR Q1).
04. Our recent work "Deep anticipation: lightweight intelligent mobile sensing for unmanned vehicles in IoT by recurrent architecture" has been accepted by the journal IET Intelligent Transport Systems (Impact Factor: 2.480, JCR Q1)
03. Our recent work "Indirect and direct training of spiking neural networks for end-to-end control of a lane-keeping vehicle" has been accepted by the journalNeural Networks (Impact Factor: 5.535, JCR Q1)
02. Our recent work "Multi-cue event information fusion for pedestrian detection with neuromorphic vision sensors" has been accepted by the journal Frontiers in Neurorobotics (Impact Factor: 3.000, JCR Q1)
01. Our recent work "FLGR: Fixed Length Gists Representation Learning for RNN-HMM Hybrid-Based Neuromorphic Continuous Gesture Recognition" has been accepted by the journalFrontiers in neuroscience (Impact Factor: 3.638, JCR Q1)
本硕博招生：
00. 特别欢迎优秀学生申请直接攻读博士学位（2021年入学批次）
01. 欢迎优秀的本科生（大三、大四，以及特别优秀的大二同学）在完成好课程学习的前提下加入课题组从事科研工作
02. 欢迎优秀学生申请2021年9月入学批次推免/直博

03. 欢迎本校和外校毕业学生申请研究助理岗位（基本条件：代码能力或者科研能力突出）

* 报名硕士研究生、直博基本要求：了解计算机视觉、机器学习基本知识，英文写作能力出色，基本掌握c++/python编程，有英文论文发表者优先；
* 报考博士研究生（申请-考核制）基本要求：硕士期间至少有一篇相关SCI论文发表(*必要条件*)，须专业对口，计算机/电信/软件/控制/机电/机器人/车辆等方向为佳；
* 同济大学优秀的本科生及外校客座学生基本要求：能长时间投入，自我驱动型，具备良好的英文文献阅读能力，愿意继续深造以及进入有计划未来从事科研工作；
* 特别不欢迎 “无诚信” 的申请者；
* 提前进课题组本科学生（去向）：
叶灿波（CMU 研究生） 任可嘉（JHU 研究生） 沈律宇 （NUS 全奖博士） 杨龙雨（CMU 研究生）陈杰能（JHU 全奖博士）许仲聪（NUS 全奖博士）宁翔宇 （Boston U 研究生）





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