Partner with Us to Define the Next Generation of Intelligent, Energy-Efficient Systems

IEES LAB welcomes industry partners, academic institutions, research organizations, and international teams to explore collaboration. Our research connects real application scenarios, algorithms, system architecture, software-hardware implementation, system integration, and real-platform energy and performance validation.

Our Core: Cross-Layer System Design

We study intelligent energy-efficient systems from a cross-layer perspective:

Application Scenarios and Algorithms → System Architecture and Simulation → Software-Hardware Implementation using Linux, FreeRTOS, and Embedded Platforms → System Integration → System-Level Energy and Performance Measurement

Key Research Areas

• Low-Power Edge AI and Adaptive Inference

• Energy-Harvesting and Intermittent Computing Systems

• Sustainable Edge Computing and Computation Offloading

• Adaptive AI Computing and Memory-Centric Architecture

Collaboration Opportunities

We welcome the following forms of collaboration:

• Feasibility studies

• Proof-of-concept prototyping

• Joint research projects

• System-level performance and energy analysis

• Talent development collaboration

Research Foundation

IEES LAB provides an open and rigorous research environment. Our work spans low-power AI, edge computing, embedded systems, intermittent computing, and system-level energy analysis. Our publications have appeared in venues such as IEEE TPDS, IEEE TCAD, ACM TECS, EMSOFT / ESL, and related conferences and journals.

Contact Us

If you are interested in system-level performance and energy efficiency, low-power edge AI, intermittent computing, embedded systems, or next-generation intelligent computing architectures, we welcome you to contact IEES LAB.

To schedule a discussion, please contact us by email to Prof. Chen and include a brief description of your affiliation and collaboration interests.