研究方向：
从事面向物联网应用的智能电子系统研究：包括低功耗电路与系统芯片设计、无线感知系统、智能系统集成与应用。
-
-
-
- 面向AIoT的智能芯片与系统
-
-
- 高能效处理与专用处理器设计
-
- 神经拟态系统与电路
- 物联网在工业与健康领域的应用
【New Positions 2024】: 国家重点研发计划智能机器人专项、其他平台类项目 （面向类脑具身智能与机器人的专用芯片与系统、异构多核SoC设计、FPGA for autonomous system and HPC）
- 助理研究员、副研究员 （专任岗）、超级博士后
- 2025免试推荐硕士生、博士生
【--以下岗位长期有效--】
【欢迎申请复旦大学本博贯通“卓博计划”】
【Open Positions : 硕士（2024/25秋季入学）/博士研究生 （2025免试推荐）、博士后研究员 （上海超博项目、联合培养等）、Faculty Positions 】：
-
数字系统设计以及SoC设计与优化。欢迎具有以下兴趣（之一）的申请者：（1）SoC架构与数字系统开发验证流程；（2）FPGA开发；（3）边缘计算/边缘人工智；（4）领域专用架构或人工智能处理器设计
-
面向AIoT的低功耗智能芯片与系统。欢迎具有以下兴趣的申请者：（1）低功耗数字电路的设计与优化方法；（2）高能效信号处理算法或算法-架构协同优化方法；（3）神经型态处理与系统；（4）时域脉冲驱动/事件驱动的处理方法与系统
-
超大规模神经拟态计算平台。欢迎具有以下兴趣的申请者：（1）高速数字系统开发；（2）FPGA、高层次综合、HW-SW Codesign；（3）NoC/interconnection network的设计（4）类脑计算与SNN；（5）2.5D、3D、Wafer level Integration
-
-
面向工业应用的分布式物联网智能系统。欢迎具有以下兴趣的申请者：（1）熟悉嵌入式系统开发以及HW-SW Codesign；（2）在嵌入式平台开发人工智能(如TinyML、LLM的边缘部署等)；（3）具有轻量级边缘智能算法与应用（如agent-based optimization、time series、anomaly detection等）研究的经验。
Research Interests
Dr. Zou's primary research focus lies on smart electronic systems for IoT applications, including energy-efficient SoC, wireless sensing and perception, smart system integration and application, with outcomes by means of publications in journals/conferences and CMOS IC tape-outs. He authored and co-authored 100+ publications in international journals (incl. IEEE JSSC, IEEE TCAS) and conferences (incl. ISSCC, ESSCIRC). We highly emphasize application-driven, system-oriented research in the following topics:
-
-
-
-
Chips and Systems for AIoT
-
-
-
-
Energy-Efficient Processing and Application-Specific Processor Design
-
-
-
-
Embedded & Distributed Intelligence Systems for IIoT and AIoT
-
-
-
-
Abimient Intelligence
-
-
-
- Ph.D. in Electronic and Computer Systems, KTH -Royal Institute of Technology, Sweden (2012)
-
-
-
- M.Sc. in Electrical Engineering (System-on-Chip Design), KTH - Royal Institute of Technology, Sweden (2007)
-
-
-
- B.Sc. in Information Engineering，Beijing Institute of Technology, China (2005)
-
-
-
- MBA (minor), Turku School of Economics, University of Turku, Finland (2012)
Short Bio: Zhuo Zou received his Ph.D. degree in Electronic and Computer Systems from KTH Royal Institute of Technology, Sweden, in 2012. Currently, he is with Fudan University Shanghai as a Full Professor, where he is conducting research on intelligent chips and systems for AIoT. Prior to joining Fudan, he was the assistant director and a project leader at VINN iPack Excellence Center, KTH, Sweden. His current research interests include low-power circuits, energy-efficient SoC, neuromorphic computing, and their applications in AIoT and autonomous systems. Dr. Zou has also been an adjunct professor and docent at the University of Turku, Finland. He is vice chairman of IFIP WG-8.12 and a senior member of IEEE.
Recent & Selected Publications
- Event-Driven Processing and Neuromorphic System
1. H. Chu, et al. "A Neuromorphic Processing System with Spike-Driven SNN Processor for Wearable ECG Classification." IEEE TBioCAS 2022
2. C. Ding, et al, "A Hybrid-Mode On-Chip Router for the Large-Scale FPGA-Based Neuromorphic Platform," IEEE TCAS-I 2022
3. D. Wang, et al. "A Memristor-Based Learning Engine for Synaptic Trace-Based Online Learning." IEEE TBioCAS 2023
4. C. Liu, et al. "A Low-Power Hybrid-Precision Neuromorphic Processor With INT8 Inference and INT16 Online Learning in 40-nm CMOS." IEEE TCAS-I 2023.
5. Y. Yan, et al. "Graph-Based Spatio-Temporal Backpropagation for Training Spiking Neural Networks." IEEE AICAS 202
6. J. Huang, et al. "A Reconfigurable Near-Sensor Processor for Anomaly Detection in Limb Prostheses." IEEE TbioCAS 2024
7. F. Yang, et al. "TSCM: a TCAM-Based Sparse Connection Memory Architecture in Neuromorphic Computing System for Cortical Simulation." IEEE ISCAS 2024
8. A. Xiao, et al. "Spiking-HDC: a Spiking Neural Network Processor with HDC Classifier Enabling Transfer Learning ." IEEE ISCAS 2024
9. Y. Yan, et al. "Backpropagation With Sparsity Regularization for Spiking Neural Network Learning," Frontiers in Neuroscience 2022
10. D. Wang, et al. "Mapping the BCPNN Learning Rule to a Memristor Model," Frontiers in Neuroscience 2021.
11. B. Huang, et al. " IECA: An In-Execution Configuration CNN Accelerator with 30.55 GOPS/mm2 Area Efficiency." IEEE TCAS-I 2021
12. J. Xu, et al. "ASLog: An Area-Efficient CNN Accelerator for Per-Channel Logarithmic Post-Training Quantization." TCAS-I 2023
13. D. Bao, et al. "A Wirelessly Powered UWB RFID Sensor Tag with Time-Domain Analog-to-Information Interface." IEEE JSSC 2018
14. Y. Huan, et al. "A 101.4 GOPS/W Reconfigurable and Scalable Control-Centric Embedded Processor for Domain-Specific Applications." IEEE TCAS-I 2016
15.D. Wang, et al. "FPGA-Based HPC for Associative Memory System." ASP-DAC 2024
16. S. Tan, et al. "A Near-Eye DVS-Based End-to-End Eye Tracking Processor for AR/VR Applications." IEEE ISCAS 2024
- IoT Systems and Applications
17. Y. Jin, et al. "Edge-based Collaborative Training System for Artificial Intelligence-of-Things." IEEE TII 2022
18. Y. Yan, et al. "An IoT-Based Anti-Counterfeiting System Using Visual Features on QR Code." IEEE Internet of Things Journal, 2020
19. L. Gong, et al. "An IoT-Based Wearable Labor Progress Monitoring System for Remote Evaluation of Admission Time to Hospital." IEEE JBHI, 2023
20. L. Qian, et al. "MCU-Enabled Epileptic Seizure Detection System With Compressed Learning." IEEE Internet of Things Journal, 2023
Link to my Publication List from Google Scholar and DBLP
微纳系统中心
职称：教授、博导
职务：
电子邮件：zhuo@fudan.edu.cn
办公地点：复旦大学江湾校区交叉2号楼B7027
电话：
课题组主页：