Intelligent Computing Systems Laboratory

Our Goal ​

We study the system foundations connecting the physical world with intelligent computation: affordable sensing networks that continuously acquire useful information, and AI models that run on endpoint and edge devices within practical computing, memory, and energy budgets. Together, these research lines support a better understanding of real-world states and changes, providing reliable evidence for prediction, decision-making, and action.

Explore our research goal and technical approach

News ​

July 2026 ​

• Congratulations to our team on the acceptance of Hades: A Hardware-Resident Substrate for Energy Admission in Intermittent Computing by MICRO 2026. This is the first MICRO paper from a university in Western China.
• Congratulations to our team: Speak and Be Known: Authenticating Users via Ear Canal Deformation on Earbuds was published in TMC 2026.

May 2026 ​

• Congratulations to our team on the acceptance of μMan: Towards Device-Agnostic Power Management for Battery-free IoT by SenSys 2026.

March 2026 ​

• Congratulations to our team: Remote Intermittency Control for RF-powered Devices via Backscatter Communication was published in TMC 2026.

... See all news

About Us ​

The Intelligent Computing Systems Laboratory is affiliated with the School of Computer Science and Engineering, University of Electronic Science and Technology of China (UESTC). Established in January 2018, the lab conducts fundamental research and system development in wireless systems and security, passive systems, RFID technology, network and system security, intelligent information processing, data mining and recommendation, and intelligent video analysis. We study how intelligent computing systems interact with the physical world, with a measured focus on sensing, communication, edge intelligence, and wireless embedded systems that can support embodied intelligent applications. The team currently includes 1 professor, 1 associate professor, and nearly 30 master's and doctoral students. Over the past five years, we have undertaken multiple projects funded by the National Natural Science Foundation of China, National Key R&D Programs, and National Science and Technology Support Programs.

The team has achieved a series of research outcomes in passive wireless sensing IoT systems, wireless embedded systems, and intelligent information processing. We have built practical systems and application demonstrations for structural health monitoring, wearable medical devices, and remote health monitoring. Our members have published over 120 papers in ACM/IEEE Transactions journals and top international academic conferences. The laboratory is equipped with comprehensive R&D equipment, system software, application software, and design tools, supporting an end-to-end R&D chain from sensing front-end design, communication protocols and systems, intelligent information processing, cloud systems, to network security.

Main Research Areas ​

Explore our research directions in detail.

• Sensing and edge–end systems: Microcomputing, microcommunication, and energy management for affordable information acquisition, extending toward audio and visual sensing.
• Endpoint and edge AI inference: Model execution under resource constraints, reducing computing, memory, and energy overhead for timely, useful task outputs.

Security and information applications connect this work with privacy protection, trustworthy interaction, and efficient data analysis.

Representative Research Projects ​