I am a final-year Ph.D. candidate at Carnegie Mellon University’s ECE Department, advised by Swarun Kumar. My research is in the area of wireless systems with an emphasis on building next-generation battery-free IoT technologies for long-range communication, novel sensing, and efficient energy delivery. My work has also been highly inter-disciplinary, exploring connections between soft materials and wireless systems.
I publish in wireless networks, mobile computing, and hci conferences. My work has been recognized as the best long wearables paper at UbiComp 2020, the best paper at IPSN 2021, the best demo candidate at UbiComp 2018, and research highlights in SIGMOBILE and Communications of ACM. I am a recipient of Microsoft Research Fellowship.
I am excited to announce that I'm on the academic job market this year! Stay tuned.
- Long-range Battery-free IoT: RFID [NSDI 2019], NFC [IPSN 2021]
- Co-optimizing Soft Materials and Wireless Systems: Tattoos [UbiComp 2020], Gloves [Applied Materials & Interfaces 2019], Textiles [IPSN 2021]
- Software-defined Cooking & Beyond: Microwave Oven [MobiCom 2019]
- Our work on ultra low-latency backscatter tracking is accepted at UbiComp 2022.
- I'm co-chairing S3 workshop at MobiCom 2021. I am looking forward to your submission!
Ultra Low-Latency Backscatter for Fast-Moving Location Tracking
Jingxian Wang, Vaishnavi Ranganathan, Jonathan Lester, Swarun Kumar
Locating Everyday Objects using NFC Textiles
Jingxian Wang†, Junbo Zhang†, Ke Li, Chengfeng Pan, Carmel Majidi, Swarun Kumar
[Best Paper Award]
[Best Presentation Award]
RFID Tattoo: A Wireless Platform for Speech Recognition
Jingxian Wang, Chengfeng Pan, Haojian Jin, Vaibhav Singh, Yash Jain, Jason Hong, Carmel Majidi, Swarun Kumar
[Best Long Wearables Paper Award]
[IJCAI 2021 SC Best Papers]
Silver-coated poly (dimethylsiloxane) beads for soft, stretchable, and thermally Stable conductive elastomer composites
Chengfeng Pan, Yunsik Ohm, Jingxian Wang, Michael J Ford, Kitty Kumar, Swarun Kumar, Carmel Majidi
ACS Applied Materials & Interfaces
Pushing the Range Limits of Commercial Passive RFIDs
Jingxian Wang, Junbo Zhang, Rajarshi Saha, Haojian Jin, Swarun Kumar
Software Defined Cooking using a Microwave Oven
Haojian Jin, Jingxian Wang, Swarun Kumar, Jason Hong
[ACM SIGMOBILE Research Highlights]
[Communications of the ACM Research Highlights]
On the Feasibility of Wi-Fi Based Material Sensing
Diana Zhang, Jingxian Wang, Junsu Jang, Junbo Zhang, Swarun Kumar
WiSh: Towards a Wireless Shape-aware World using Passive RFIDs
Haojian Jin†, Jingxian Wang†, Zhijian Yang, Swarun Kumar, Jason Hong
RF-Wear: Towards Wearable Everyday Skeleton Tracking Using Passive RFIDs
Haojian Jin, Jingxian Wang, Zhijian Yang, Swarun Kumar, Jason Hong
Monitoring a Person’s Heart Rate and Respiratory Rate on a Shared Bed Using Geophones
Zhenhua Jia, Amelie Bonde, Sugang Li, Chenren Xu, Jingxian Wang, Yanyong Zhang, Richard E Howard, Pei Zhang
RetroShape: Leveraging Rear-Surface Shape Displays for 2.5 D Interaction on Smartwatches
Da-Yuan Huang, Ruizhen Guo, Jun Gong, Jingxian Wang, John Graham, De-Nian Yang, Xing-Dong Yang
Rajarshi Saha (now at Stanford for PhD)
Junbo Zhang (now at CMU for PhD)
Yash Jain (now at Georgia Tech)
Ke Li (now at Cornell for PhD)
Selected Research Topics
Materials Science meets Wireless Systems
Selected project: Smart Tattoos. Three million people in the US are suffering voice impairments. Current solutions, like keyboard and electrolarynx, require extra effort for the patients to compensate for their voice disorders. We present RFTattoo, an elegant speech recognition system for voice impaired using batteryless and flexible RFID tattoos.
Extending the Range of Commercial Passive IoT Devices
Selected project: PushID. Today’s commercial passive RFIDs report ranges of 5-10 meters at best. This reveals blind zones for RFIDs to be detected in warehouses, stores and factories today. We present PushID which achieves an 8x improvement in range over commercial RFID systems.
Towards a Shape-aware Metaverse
Selected project: WiSh. WiSh gives ordinary objects shape-awareness, relaying their geometry by combining wireless sensing with graphics. It opens up novel applications: clothing that can detect a user’s posture, or even bridges that report their structural health.
Monitoring Heart Rate and Respiratory Rate
Selected project: Heartbeat and respiration signals from multiple people are captured by low-cost geophones. We build 3D characteristic models for each person based on their spatial signature.
CMU Collaborative Innovation Centerjingxian@cmu.edu
4720 Forbes Avenue, Pittsburgh, PA 15213