智能工程与科技协会（AIET）学术委员会于近日正式发布《2026年度研究方向指引》，明确协会在新一年度重点关注的六大研究方向，为协会学术产出规划、年度白皮书选题及优秀课题成果认定提供方向性参考。
本年度指引在延续协会核心关注领域的基础上，结合全球智能工程与科技领域的最新发展趋势，对研究方向进行了调整与深化。六大重点方向包括：（一）大模型与通用AI在工业工程中的应用研究，聚焦大语言模型及多模态模型在工业决策、设计辅助及知识管理等场景中的技术路径与工程挑战；（二）智能制造的绿色转型，探讨碳中和目标下智能产线的能效优化与可持续制造模式；（三）工业物联网的安全与隐私保护，研究大规模IoT部署场景中的数据安全治理框架与隐私计算技术。
其余三个方向分别为：（四）数字孪生与工业元宇宙，关注数字孪生技术在复杂系统运维优化及虚实融合中的应用前景；（五）自主系统与智能体工程，研究AI智能体在工业巡检、设备运维及流程管控中的技术架构；（六）跨区域技术标准协调，推动亚太与欧美地区在智能工程领域的技术标准互认与互操作研究。
学术委员会主席表示，本年度指引的制定充分参考了协会特聘专家团的意见建议、2025年度白皮书的研究发现以及国际主要学术机构的前沿动态。指引的发布旨在为协会会员及合作机构提供明确的学术方向参考，鼓励在上述领域开展具有原创性与实践价值的研究工作。
凡有意将研究成果提交AIET进行优秀课题认定的研究者，可优先关注上述六大方向。学术委员会将在年度课题认定评审中，对符合重点方向的高水平成果给予优先考量。研究方向指引全文已通过协会官方渠道发布，会员可登录协会网站查阅。
The Academic Committee of the Association of Intelligent Engineering and Technology (AIET) recently officially released the 2026 Research Direction Guidelines, clarifying the six major research directions that the Association will focus on in the new year and providing directional reference for Association academic output planning, annual white paper topics, and outstanding research outcome recognition.
On the basis of continuing the Association core fields of focus, this year guidelines adjust and deepen the research directions in light of the latest development trends in global intelligent engineering and technology. The six key directions include: (1) research on the application of large models and general AI in industrial engineering, focusing on technical pathways and engineering challenges for large language models and multimodal models in industrial decision-making, design assistance, knowledge management, and other scenarios; (2) green transformation of intelligent manufacturing, exploring energy efficiency optimization and sustainable manufacturing models for intelligent production lines under carbon neutrality goals; and (3) security and privacy protection in industrial IoT, studying data security governance frameworks and privacy computing technologies in large-scale IoT deployment scenarios.
The other three directions are: (4) digital twins and the industrial metaverse, focusing on application prospects of digital twin technology in complex system operation and maintenance optimization and virtual-real integration; (5) autonomous systems and agent engineering, studying the technical architecture of AI agents in industrial inspection, equipment operation and maintenance, and process control; and (6) cross-regional technical standard coordination, promoting research on mutual recognition and interoperability of technical standards in intelligent engineering between the Asia-Pacific region, Europe, and North America.
The Chair of the Academic Committee stated that the formulation of this year guidelines fully referenced opinions and recommendations from the Association appointed expert panel, research findings from the 2025 white paper, and frontier developments at major international academic institutions. The release of the guidelines aims to provide clear academic direction reference for Association members and partner institutions and to encourage original and practically valuable research in the above areas.
Researchers who intend to submit research outcomes to AIET for outstanding research recognition may give priority to the six key directions above. In the annual research outcome recognition review, the Academic Committee will give priority consideration to high-level outcomes that align with the key directions. The full text of the research direction guidelines has been released through official Association channels, and members may log in to the Association website to view it.