I am expected to receive my Ph.D. degree in September 2025 and will join Shanghai Jiao Tong University as a postdoctoral researcher in the School of Computer Science. My supervisor will be Prof. Xiaohua Tian.
I am a fourth-year Ph.D. student in the EE department at Shanghai Jiao Tong University (SJTU), Shanghai, China. I am expected to graduate and receive my Ph.D. degree in September 2025.
I received my bachelor's degree from the EE department, Shanghai Jiao Tong University in 2019. After that, I was admitted to the graduate school of Shanghai Jiao Tong University.
I am pursuing my Ph.D. degree in the EE department at Shanghai Jiao Tong University under the supervision of Professor Xiaohua Tian.
My research interests include backscatter communication and various low-power IoT designs. My research works focus on developing next-generation IoT networks, with each IoT node consuming μW-level ultra-low power, without battery or life-span powered. My research works are published in top journals in networking: IEEE/ACM Transactions on Networking (TON), IEEE Transactions on Mobile Computing (TMC), and top conferences in mobile computing: ACM MobiCom, ACM MobiSys, ACM SenSys, and top conferences in microelectronics: International Solid-State Circuits Conference (ISSCC).
In 2017, I joined IIoT and began to work with Renjie Zhao under the supervision of Prof. Tian. The research topic is OFDMA backscatter.
In 2019, I began my M.S. program in the EE department at Shanghai Jiao Tong University. My supervisor is Prof. Tian.
In 2021, I began my Ph.D. program in the EE department at Shanghai Jiao Tong University. My Ph.D. supervisor is Prof. Tian.
CWSN'24 Best Paper Award (2024): The 18th China Conference on Internet of Things (Wireless Sensor Network)
The 17th Challenge Cup Shanghai Division (2021): Outstanding Award,特等奖 (Team leader)
National Scholarship for Doctoral Students (2023): 博士生国家奖学金
I am a reviewer for the following journals:
I served as Session Chair for ICCC'25 in the session: IoT Communications.
(NEW!) Fengyuan Zhu, J. Shen, W. Li, J. Luo, R. Zhao, L. Zhong, B. Wang, X. Tian, "NanoScatter: Towards Ambient IoT", in Proc. MobiCom 2025 [PDF]
(NEW!) Fengyuan Zhu, J. He, J. Lin, Y. Qin, B. Wang, Q. Di, M. Jin, and X. Tian, "Inductor-free LoRa Backscatter", IEEE Transactions on Networking, 2025 [Link]
J. Shen*, Fengyuan Zhu* (co-primary), Y. Liu, B. Liu, L. Xu, C. Shi, L. Huang, X. Tian, R. Zhang, “A 44μW IoT Tag Enabling 1μs Synchronization Accuracy and OFDMA Concurrent Communication with Software-Defined Modulation,” ISSCC 2024 [PDF]
Fengyuan Zhu, R. Zhao, B. Wang, X. Tian, X. Wang, X. Guan, C. Zhou, "Enabling OFDMA in Wi-Fi Backscatter," IEEE/ACM Transactions on Networking, 2023 [PDF]
X. Tian, Fengyuan Zhu, H. Li, M. Ouyang, L. Feng, X. Tong, X. Wang, "MobiScatter: Enhancing Capacity in Drone Assisted High-Concurrency Backscatter Networks," IEEE/ACM Transactions on Networking, 2023 [Link]
Fengyuan Zhu, L. Feng, X. Tian, M. Jin, X. Wang, "Towards Ultra-low Power OFDMA Downlink Demodulation," in Proc. ACM SenSys 2022 [PDF]
Fengyuan Zhu, M. Ouyang, L. Feng, Y. Liu, X. Tian, M. Jin, D. Chen, X. Wang, "Enabling Software-defined PHY in Backscatter Networks," in Proc. ACM MobiSys 2022 [PDF]
Fengyuan Zhu, Y. Feng, Q. Li, X. Tian, X. Wang, "DigiScatter: Efficiently Prototyping Large-Scale OFDMA Backscatter Networks," in Proc. ACM MobiSys 2020 [PDF]
Fengyuan Zhu, J. He, J. Lin, Y. Qin, B. Wang, Q. Di, M. Jin, and X. Tian, "Inductor-free LoRa Backscatter", IEEE Transactions on Networking, 2025 [Link]
Fengyuan Zhu, R. Zhao, B. Wang, X. Tian, X. Wang, X. Guan, C. Zhou, "Enabling OFDMA in Wi-Fi Backscatter," IEEE/ACM Transactions on Networking, 2023 [Link]
X. Tian, Fengyuan Zhu, H. Li, M. Ouyang, L. Feng, X. Tong, X. Wang, "MobiScatter: Enhancing Capacity in Drone Assisted High-Concurrency Backscatter Networks," IEEE/ACM Transactions on Networking, 2023 [Link]
B. Wang, Fengyuan Zhu, L. Zhong, M. Jin, X. Wang, C. Chen, X. Guan, C. Zhou, Xiaohua Tian, "Enabling Dual-Band Wi-Fi Backscatter," IEEE Transactions on Mobile Computing, 2024 [Link]
(NEW!) Fengyuan Zhu, J. Shen, W. Li, J. Luo, R. Zhao, L. Zhong, B. Wang, X. Tian, "NanoScatter: Towards Ambient IoT", in Proc. MobiCom 2025 [PDF]
M. Xie, M. Jin, Fengyuan Zhu, Y. Zhang, X. Tian, X. Wang, and C. Zhou. "Enabling High-rate Backscatter Sensing at Scale." In Proc. ACM MobiCom 2024, Association for Computing Machinery, New York, NY, USA, 124–138, 2024. https://doi.org/10.1145/3636534.3649351
B. Wang, Fengyuan Zhu, Wenhui Li, Z. Yang, M. Jin, and Xiaohua Tian. "Frequency-agile OFDM Backscatter." In Proc. ACM MobiSys 2024, Association for Computing Machinery, New York, NY, USA, 252–264, 2024. https://doi.org/10.1145/3643832.3661873
J. Shen*, Fengyuan Zhu* (co-primary), Y. Liu, B. Liu, L. Xu, C. Shi, L. Huang, Xiaohua Tian, R. Zhang, “A 44μW IoT Tag Enabling 1μs Synchronization Accuracy and OFDMA Concurrent Communication with Software-Defined Modulation,” ISSCC 2024 [PDF]
R. Ding, H. Jin, J. Ding, X. Wang, G. Fan, Fengyuan Zhu, X. Tian, L. Kong, "Push the Limit of Single-Chip mmWave Radar-Based Egomotion Estimation with Moving Objects in FoV", in Proc. ACM SenSys 2023 [PDF]
L. Zhong, M. Ouyang, Fengyuan Zhu, M. Jin, X. Wang, X. Guan, C. Zhou, X. Tian, "SmartShell: A Near-Field Reflective Surface Enhancing RSS", in Proc. ACM MobiSys 2023 [PDF]
Fengyuan Zhu, L. Feng, X. Tian, M. Jin, X. Wang, "Towards Ultra-low Power OFDMA Downlink Demodulation," in Proc. ACM SenSys 2022 [PDF]
Fengyuan Zhu, M. Ouyang, L. Feng, Y. Liu, X. Tian, M. Jin, D. Chen, X. Wang, "Enabling Software-defined PHY in Backscatter Networks," in Proc. ACM MobiSys 2022 [PDF]
Fengyuan Zhu, Y. Feng, Q. Li, X. Tian, X. Wang, "DigiScatter: Efficiently Prototyping Large-Scale OFDMA Backscatter Networks," in Proc. ACM MobiSys 2020 [PDF]
R. Zhao, Fengyuan Zhu, Y. Feng, S. Peng, X. Tian, H. Yu, X. Wang, “OFDMA-Enabled Wi-Fi Backscatter,”in Proc. ACM MobiCom 2019 [PDF]
X. Tong, Fengyuan Zhu, Y. Wan, X. Tian and X. Wang, “Batch Localization based on OFDMA Backscatter,” in Proc. ACM UbiComp 2019 [PDF]