Special Track 6

Intelligent Embedded Systems: Architectures, Storage, Scheduling, and Agentic Computing

Chairs

Chair 1
Xianzhang Chen
Chongqing University
Chair 2
Junlong Zhou
Nanjing University of
Science and Technology
Chair 3
Di Liu
Norwegian University of
Science and Technology
Chair 1
Zhiwei Feng
Northeastern University

Introduction

The rapid advancement of intelligent vehicles, satellite platforms, smart terminals, robots, drones, and unmanned systems is reshaping the landscape of embedded and edge computing. These systems are evolving from conventional embedded devices into intelligent terminal systems that integrate sensing, computing, storage, communication, decision-making, and real-time control. Such a transformation brings new requirements for low-latency response, reliable execution, efficient data management, adaptive task scheduling, and robust system operation under resource-constrained and dynamic environments.

However, supporting intelligence on diverse terminal devices remains highly challenging. Intelligent terminal systems often operate on heterogeneous embedded architectures with limited computation, memory, storage, energy, and communication resources. Meanwhile, emerging AI workloads, agent-based applications, safety-critical control tasks, and massive edge data streams impose increasing pressure on embedded software, runtime systems, storage hierarchies, and scheduling mechanisms. This track focuses on the system-level foundations and enabling technologies for next-generation intelligent terminals. We aim to gather cutting-edge theoretical studies, architectural innovations, algorithmic designs, and practical applications addressing embedded architectures, edge storage, intelligent agents, real-time scheduling, and reliability across diverse intelligent edge environments.

Topics

Important Date

We are pleased to announce the important dates for PDCAT 2026. Please mark your calendars!
All deadlines are based on Anywhere on Earth (AoE), at midnight on the specified date.