I am a fifth-year Ph.D. student at College of Information and Computer Sciences, University of Massachusetts Amherst, advised by Professor Jie Xiong and Professor Deepak Ganesan. I received my B.S degree from Shanghai Jiao Tong University in 2019, where I worked on Wi-Fi Backscatter Communications with Professor Xiaohua Tian and Professor Xinbing Wang.

I am broadly interested in building novel wireless sensing and communication systems. My current research focuses on pervasive LTE/4G and 5G sensing, which enables national sensing on human, vehicle, agriculture, and environment. I also worked on ultra-low-power communication systems, facilitating large-scale concurrent IoT communication.

I am on the job market.

News

• April 2024 Our paper was accepted at MobiSys '24.
• May 2023 I am joining Samsung Research as a Research Intern.
• October 2022 Our paper was accepted at SenSys '22.
• November 2021 Our paper was accepted at SenSys '21.

Industry Experience

• Fall 2023: WiFi localization, Research Intern, Samsung Research America.
• Summer 2023: Bluetooth device tracking, Research Intern, Samsung Research America.

Publications

• MobiSys'24 SoilCares: Towards Low-cost Soil Macronutrients and Moisture Monitoring Using RF-VNIR Sensing.
  Juexing Wang*, Yuda Feng*, Guangjing Wang, Qiben Yan, Qingxu Jin, Robert C. Ferrier, Xiong Jie, Tianxing Li. (*Equal contribution)
  (Full paper, Acceptance rate: 16%)
  

• SenSys'22 LTE-based Low-cost and Low-power Soil Moisture Sensing.
  Yuda Feng, Yaxiong Xie, Deepak Ganesan, Jie Xiong.
  (Full paper, Acceptance rate: 25%)
  

• SenSys'21 LTE-based Pervasive Sensing Across Indoor and Outdoor.
  Yuda Feng, Yaxiong Xie, Deepak Ganesan, Jie Xiong.
  (Full paper, Acceptance rate: 18%)
  

• MobiCom'21 MIXIQ: Re-thinking Ultra-low Power Receiver Design for Next-generation On-body Applications.
  Mohammad Rostami, Xingda Chen, Yuda Feng, Karthikeyan Sundaresan, Deepak Ganesan.
  (Full paper, Acceptance rate: 20%)
  

• MobiCom'20 Sniffing Visible Light Communication Through Walls.
  Minhao Cui, Yuda Feng, Qing Wang, Jie Xiong.
  (Full paper, Acceptance rate: 16%)
  

• MobiSys'20 DigiScatter: Efficiently Prototyping Large-scale OFDMA Backscatter Networks.
  Fengyuan Zhu, Yuda Feng, Qianru Li, Xiaohua Tian, Xinbing Wang.
  (Full paper, Acceptance rate: 19%)
  

• MobiCom'19 OFDMA-Enabled Wi-Fi Backscatter.
  Renjie Zhao, Fengyuan Zhu, Yuda Feng, Siyuan Peng, Xiaohua Tian, Hui Yu, Xinbing Wang.
  (Full paper, Acceptance rate: 19%)
  

Patents

• WiFi-based whole-house localization.
  Yuda Feng, Rebal Jurdi, Guanbo Chen, Yuming Zhu.
  (releasing soon)
  

• Frequency spectrum dynamic control method and system for OFDMA backscatter network.
  Fengyuan Zhu, Yuda Feng, Qianru Li, Xiaohua Tian, Xinbing Wang.
  (WO2021213553A2)
  

• Method and system for controlling backscatter circuit based on multi-subcarrier modulation.
  Fengyuan Zhu, Yuda Feng, Qianru Li, Xiaohua Tian, Xinbing Wang.
  (WO2021228279A1)
  

• Orthogonal frequency division multiple access-based backscatter system.
  Fengyuan Zhu, Yuda Feng, Qianru Li, Xiaohua Tian, Xinbing Wang.
  (WO2021223777A1)
  

• Backscatter system and method based on OFDMA technology.
  Renjie Zhao, Fengyuan Zhu, Yuda Feng, Xiaohua Tian, Xinbing Wang.
  (CN109412992A)
  

Awards

• Honorable Mention Award in MobiCom 2020 (1%).
• Dr. Dave Lomet Graduate Scholarship, University of Massachusetts Amherst, 2022
• Mohan Graduate Scholarship, University of Massachusetts Amherst, 2021.
• Second Prize Scholarsip, Shanghai Jiao Tong University, 2018.
• The Outstanding Student of Shanghai Jiao Tong University, 2016.

Professional Service

• Reviewer, IEEE Transactions on Mobile Computing, 2023.
• Reviewer, IEEE Transactions on Mobile Computing, 2022.

Teaching Assistant

• Fall 2022: COMPSCI 240 - Reasoning Under Uncertainty. (Undergraduate-level Course)
• Spring 2021: COMPSCI 240 - Reasoning Under Uncertainty. (Undergraduate-level Course)
• Fall 2020: COMPSCI 240 - Reasoning Under Uncertainty. (Undergraduate-level Course)