About Intelligent Computing for Engineering

Intelligent Computing for Engineering

Overview

Intelligent Computing for Engineering is an English-language journal hosted by the Harbin Institute of Technology (HIT) in Harbin, Heilongjiang Province, China, selected on 5 December 2025 among the 70 high-starting-point new journals of Phase II of the 2025 China Scientific, Technical and Medical Journals Excellence Action Plan announced by the China Association for Science and Technology (CAST), and set to launch in 2026. Its chief editor is Academician Li Hui of HIT, and its editorial board comprises over 90 internationally renowned experts and scholars, including five Chinese and eight foreign academicians. The journal focuses on cutting-edge results where artificial intelligence and computational science meet engineering. It is one of seven HIT English journals selected for the high-starting-point new journal project since 2022, following the International Journal of Smart and Nano Materials, Electron and SmartBot, and Advanced Materials Jointing. Despite the similarity of name, it is a distinct journal from Intelligent Computing, the earlier Science Partner Journal published in affiliation with Zhejiang Lab — a distinction explained in full below, because the two titles will inevitably be confused.

Selection and HIT's Publishing Programme

CAST announced the 70 high-starting-point selections for Phase II of the 2025 Excellence Action Plan on 5 December 2025. Intelligent Computing for Engineering and Space Energy and Environment, both hosted by HIT, were included, as was Advances in Astronautics, co-hosted by the Chinese Society of Astronautics and HIT. The three 2025 titles brought HIT's total in the high-starting-point new journal project to seven, alongside the International Journal of Smart and Nano Materials (2022), Electron and SmartBot (2023) and Advanced Materials Jointing (2024); since the establishment of its journal center, HIT has had nine single journals and seven journals included in related projects of the CAST Excellence Action Plan. The Plan, jointly organised by seven ministries including CAST, supports newly established English-language journals representing the forefront of disciplinary development with significant growth potential. Selection is the journal's founding credential: it launches inside a funded national programme, from a university whose journal centre has now won the same competition in four consecutive years.

Chief Editor: Li Hui

The chief editor, Academician Li Hui of HIT, is one of China's leading figures in structural health monitoring and data-driven engineering mechanics. Her long-standing research field is bridge safety monitoring: she proposed the academic idea of integrating the physical laws of bridge mechanics with big-data machine learning, and created the physical machine learning theory of bridge safety diagnosis. She has led a National Natural Science Foundation innovation research group, served as chairman of the International Association for Structural Control and Monitoring and as chairman of the Asia-Pacific Network of Research Centers for Smart Structure Technology, and holds editorial roles with international journals including Structural Health Monitoring. Her honours include four second prizes of the National Science and Technology Progress Award, the George W. Housner Medal and the Robert H. Scanlan Medal of the American Society of Civil Engineers, and the 2015 International Structural Health Monitoring Person of the Year Award, with more than 200 SCI papers in journals including Nature and Science. For a journal about intelligent computing in engineering, her profile is the thesis in person: her career's central contribution is precisely the fusion of physics-based engineering models with machine learning — neither pure computation nor classical engineering alone, but the disciplined integration of the two that the journal exists to publish.

Editorial Board

The editorial board comprises over 90 internationally renowned experts and scholars, including five Chinese academicians and eight foreign academicians — thirteen academy members in total, the largest academy contingent among the HIT 2025 titles and larger than the 56-member board of its sister journal Space Energy and Environment. Board scale is a functional choice for this journal: its scope crosses civil, mechanical, aerospace, energy and computational engineering, plus computer science itself, and credible peer review across that range requires depth in each subfield. A board of more than ninety, anchored by academy members on several continents, also performs the launch function the high-starting-point model intends — signalling to prospective authors that the journal begins with the referee network and the reputational backing of an established international title.

Scope: Artificial Intelligence Meets Engineering

HIT describes the journal's focus as cutting-edge results where artificial intelligence and computational science meet engineering. That meeting point is now one of the most productive territories in applied science. Machine learning surrogates accelerate engineering simulation that once took days; physics-informed neural networks embed governing equations directly into learning, as in the chief editor's own physical machine learning programme for bridge diagnosis; computer vision and sensing turn infrastructure and manufacturing inspection into data problems; optimisation and generative design explore design spaces no human team could enumerate; and digital twins bind models to operating assets in real time. The journal's scope claims this territory as engineering, not as computer science applied from outside: papers are expected to advance an engineering capability — safer bridges, better manufacturing, more reliable energy and aerospace systems — using intelligent computation, and to be judged by engineering standards of validation against physical reality.

Scope: Computational Science for Engineering

The computational-science half of the remit covers the numerical and data foundations beneath the AI: high-performance simulation, multi-scale and multi-physics modelling, uncertainty quantification, data assimilation from sensor networks, and the computational mechanics of fluids, structures and materials. HIT's own research profile shows why the host fits the scope: the university publishes heavily across chemical, electrical, mechanical, control and materials engineering, and its structural-monitoring community — the chief editor's field — runs some of the world's most instrumented bridges, generating the long-duration, real-world datasets on which intelligent engineering methods must prove themselves. A journal edited from that environment can demand what purely computational venues sometimes cannot: validation on physical systems, at engineering scale, under real operating conditions.

Not to Be Confused: Intelligent Computing

The distinction matters and is verifiable. Intelligent Computing is an earlier, separate journal: a Science Partner Journal of the American Association for the Advancement of Science, published in affiliation with Zhejiang Lab, with Dr Shiqiang Zhu of Zhejiang Lab and Dr Ninghui Sun of the Institute of Computing Technology, Chinese Academy of Sciences, as its Editors-in-Chief, publishing under a Creative Commons Attribution licence on intelligent computing broadly — the integrated development of computational science and intelligent technology, including cyber-physical-social systems. Intelligent Computing for Engineering, by contrast, is hosted by Harbin Institute of Technology, edited by Academician Li Hui, selected under China's Excellence Action Plan in December 2025 for a 2026 launch, and scoped specifically to engineering applications of AI and computational science. Different hosts (Zhejiang Lab versus HIT), different editors, different publishers and programmes, different scopes (general intelligent computing versus engineering) — the shared words 'intelligent computing' reflect a shared field vocabulary, not a shared journal. Readers and authors should verify which title they are citing or submitting to; this profile concerns the HIT engineering journal throughout.

Why This Journal, from This University

The founding logic is consistent with HIT's portfolio strategy. The university's seven high-starting-point journals map its research strengths; intelligent computing for engineering is arguably the connective tissue among all of them, since AI methods now run through materials discovery, astronautics, energy systems and robotics alike. Hosting the journal at HIT also places it in a university whose engineering output, measured in the Nature Index window to mid-2026, spans more than a thousand counted research articles across the physical, chemical and engineering sciences — the author community the journal serves. And its chief editor's physical-machine-learning programme gives the journal a methodological identity distinct from generic AI journals: intelligence constrained by physics, tested on real structures. In a crowded field of new AI titles, that identity — engineering-first, physics-aware, validated at scale — is the journal's clearest claim on readers' attention.

Status, Readership and Outlook

Intelligent Computing for Engineering is set to launch in 2026 from Harbin. Its public record at the time of writing is its national selection of 5 December 2025, its chief editor and 90-plus-member board, and its declared scope — a complete founding dossier, with no published archive yet to judge, and none should be claimed. Its intended readership spans engineering researchers who build intelligent computational methods, computational scientists who apply them to physical systems, and practising engineers responsible for monitored, data-rich infrastructure and plant. For those readers, and for authors choosing among the many new AI-adjacent titles of the 2025–26 launch wave, the journal's verifiable markers — academy editorship, an exceptionally large international board, a top engineering university as host, and national programme backing — mark it as one of the wave's substantial entrants, and the one most explicitly devoted to the place where computation becomes engineering.