The 2027 8th International Conference on Artificial Intelligence and Advanced Computing (AIACT 2027) will be held in Nanjing, China, from February 26 to 28, 2027. AIACT 2027 will serve as a premier international forum for presenting and exchanging technological advances and research results in artificial intelligence and advanced computing. It aims to bring together leading researchers, engineers, and scientists from around the world to share the latest research findings and engineering practices, with a special focus on intelligent algorithms, machine learning, computer vision, and AI-driven autonomous systems.

The AIACT 2027 organizing committee invites proposals for special sessions. The special sessions will complement the regular program with new or emerging topics of particular interest at specific or cross-disciplinary levels, including state-of-the-art research in both academia and industry in special, novel, challenging, and emerging areas.

Special session proposals should be submitted by the prospective organizer(s) who will commit to promoting and handling the review process of the special session as Chair or Co-Chair of the event. One special session lasts 2 hours, which allows 6-10 oral presenters. If the number of presenters exceeds the capacity, some of them will be arranged to poster sessions. Presenters can submit abstracts for review.

Proposed Special Session Topics

• Special Session I: Intelligent Scheduling and Coordinated Control of Computing-Energy Systems


• Special Session II: Intelligent Control and Decision for Autonomous Unmanned Systems


• Special Session III: AI-Driven Process Automation and Advanced Control


• Special Session IV: Robotic Intelligent Control and Human-Machine Collaborative Automation


• Special Session V: Integrated Control Theory and AI Optimization Methods


• Special Session VI: Intelligent Transportation and Autonomous Driving Control Automation


• Special Session VII: Digital Twin and Intelligent Integrated Automation Systems


• Special Session VIII: Edge Intelligence and Lightweight Autonomous Control Systems

Important Dates

• Special Session Proposal Deadline: Oct. 15, 2026
• Acceptance Notification: Within 2 weeks after submission

Proposal Submission Guidelines

The proposal template should clearly indicate:

• Title
• Brief Description of the Session
• Related Topics
• Organizer's Information (Name, Affiliation, Biography, E-mail, and formal photos of Session Chairs and Vice-Chairs)

Please complete the special session proposal form and send it to aiact@vip.163.com before the deadline.

For any inquiries regarding special sessions, please contact the AIACT 2027 secretariat at aiact@vip.163.com.

Special Session I: Intelligent Scheduling and Coordinated Control of Computing-Energy Systems

Chair: Yu Gu, Tianjin University, China

Vice Chair 1: Rundong Huang, City University of Hong Kong, Hong Kong, China Vice Chair 2: Bowen Zhang, City University of Hong Kong, Hong Kong, China

This special session focuses on intelligent scheduling and coordinated control of computing-energy systems. With the rapid development of artificial intelligence, cloud computing, and large-scale computing infrastructures, the demand for computing resources continues to grow, while these infrastructures are becoming increasingly distributed, heterogeneous, and energy-intensive. At the same time, the temporal and spatial flexibility of computing workloads provides new opportunities for coordinated resource management. However, effectively exploiting such flexibility requires joint consideration of the dynamic coupling between computing and energy resources, creating new challenges for conventional scheduling, optimization, and control methods. This session aims to explore advanced methods for computing resource scheduling, workload orchestration, computing-energy coordinated optimization, and intelligent control. Particular attention will be given to spatio-temporal resource coordination, cloud-edge-end collaboration, and AI-enabled prediction and decision-making for efficient, flexible, reliable, and sustainable operation. The session seeks to bring together researchers and practitioners from the fields of artificial intelligence, automation, control, computing, and energy systems to discuss recent theoretical advances, enabling technologies, and emerging applications in computing-energy systems. 1. Computing resource sensing, workload profiling, and modeling 2. Intelligent scheduling of heterogeneous computing resources 3. Workload orchestration and cross-domain task scheduling 4. Spatio-temporal coordination of computing and energy resources 5. Cloud-edge-end collaborative computing and control 6. Computing-energy coupled optimization and coordinated control 7. AI-enabled prediction and decision-making for computing-energy systems 8. Energy-efficient and low-carbon computing