Actively seeking faculty positions

Sijie Ji

Schmidt Science Fellow | Caltech

Building sensing-driven physical AI systems to decode real-world human states and drive proactive interventions.

I develop Physical AI for human-centered cyber-physical systems, focusing on how intelligent systems can reliably infer latent human states from imperfect real-world observations and act under uncertainty and resource constraints.

My work spans mobile, wearable, and wireless sensing and integrates learning with system-level design for dependable real-world operation. I work with Prof. Wei Gao and Prof. Mani Srivastava.

By bridging the gap between hardware constraints and algorithmic robustness, I aim to transform healthcare from episodic clinic-centered care into continuous support embedded in daily life.

Physical AI Cyber-Physical Systems Mobile & Ubiquitous Computing Sensing + X AI + Health
Sijie Ji Portrait Sijie Ji AI

Sensing Interfaces

Decoding Human States

Wireless & RF Sensing
Wearable Bioelectronics
Mobile Acoustics

Physics-Aware AI

Inference with Priors

Physical Inductive Biases
Biomechanical Constraints
Robust OOD Generalization

Closed-loop CPS

Actionable Intelligence

Edge LLM Interventions
Resource-Efficient Design
Dependable Feedback Control

News

Selected Publications

* denotes co-first/corresponding author. ^ denotes mentored students.

Under Revision
Science Project
Science

Decoding Non-Invasive Molecular Signatures of Pain via Nanophotonic Mass Spectrometry

Moon-Ju Kim*, Sijie Ji* ,…, Wei Gao

PDF · Project
MuSAC
TMC 2026 ICDCS 2024

MuSAC: Toward Communication-Free Sensory Data Acquisition

Sijie Ji, Yiwei Wang^, Lixiang Lixiang

ProMind
Tech Report ACL 2025 SenSys 2025

Mindguard: Towards Accessible and Sitgma-free Mental Health First Aid via Edge LLM

Sijie Ji, Xinzhe Zheng*^, Jiawei Sun^, Renqi Chen^, Wei Gao, Mani Srivastava

HandFi
SenSys 2023

Construct 3D Hand Skeleton with Commercial WiFi

Sijie Ji, Xuanye Zhang^, Yuanqing Zheng, Mo Li

SiFall
SenSys 2022

SiFall: Practical Online Fall Detection with RF Sensing

Sijie Ji, Yaxiong Xie, Mo Li

Highly Cited
CLNet
WCL 2021

CLNet: Complex Input Lightweight Neural Network for CSI Feedback

Sijie Ji, Mo Li

More Publications

Academic Services

Organizer

  • General Co-Chair of HumanSys (CPS-IoT Week), 2025
  • PhD Forum Co-Chair of BuildSys 2025
  • PhD Forum Co-Chair of SenSys/BuildSys 2024
  • N2Women@SenSys 2023

Session Chair / TPC

  • VTC Fall'23, ICDCS'24, MobiSys'25
  • TPC: SenSys'26, MobiSys'25, BuildSys'24/25, MobiCom'24 (AEC), EMSOFT'25/26, ACM MM'25/26

Invited Reviewer

IEEE TON, TMC, TWC, TCOM, WCL, CL, TVT, IOTJ, ACM IMWUT, TIOT, CVPR, ACL, GlobeCom, ICC, INFOCOM, Science Advances, Nature Machine Intelligence

Editorship

Electronics(SI) - Ubiquitous Computing and Applications in Digital Healthcare Systems

Awards & Honors

  • mHealth Scholar, 2026
  • Schmidt Science Fellow, 2024
  • CPS Rising Star, 2024
  • N2Women Young Researcher Fellowship, SenSys 2023
  • 1st runner-up in the Masked Face Recognition Challenge, ICCV 2021.
  • 2nd runner-up in the AI Meets Beauty Challenge, ACM MM 2020
  • 2nd runner-up in the EmotioNet Challenge, CVPR 2020.

Lifestyle

Dance and the community it fosters have shaped me as a person.

PULSE Scholar, National Arts Council Singapore (2021)
1st Place, Advanced Ballet Solo, Bay Area U.S. Regional, Showstopper (2026)
3rd Place Overall, Adult Advanced Solo, Bay Area U.S. Regional, Showstopper(2026)
Beautiful Scars
Beautiful Scars
Fleeting Moments
Fleeting Moments
Christmas
Christmas
Leap
Leap
Recital
O Recital
Site specific
Site Specific