Symposium & Workshop
16th International Conference on Mechanics and Industrial Engineering (ICMIE 2027)
The 16th International Conference on Mechanics and Industrial Engineering (ICMIE 2027) invites you to propose a symposium/workshop.
The proposed symposium/workshop, if accepted, will be co-located with and under the umbrella of the conference.
Proposals by prospective chairs should be submitted to info[@]icmie.net and will be evaluated by the Organizing and Scientific Committees. Upon approval, the Organizing Committee will disseminate the news through the conference website and call for papers.
To obtain a high attendance, we kindly ask that prospective chairs also publicize the symposium/workshop and personally contact researchers who they think will be interested in contributing. The minimum number of registered presenters for the symposium/workshop to take place is 7. Should attendance reach this minimum requirement, registration fees for the Chair will be waived.
If you have any questions, please do not hesitate to contact us at info[@]icmie.net.
The International Conference on AI for Energy and Thermofluid Systems is an international scientific and professional forum dedicated to advances in artificial intelligence, machine learning, data-driven modelling, and hybrid physics–AI methods applied to energy systems, heat transfer, fluid mechanics, and thermofluid engineering.
The conference brings together researchers, engineers, practitioners, and policymakers from academia, industry, and public institutions to share advances, exchange ideas, and foster interdisciplinary collaboration across computational, experimental, and applied domains. It welcomes global participation and engagement across themes central to industrial innovation and policy priorities, including energy transition, industrial decarbonisation, thermal energy storage, electrification, district heating, digital twins, and smart energy infrastructure. The conference reflects the increasing importance of AI in enabling energy security, efficiency, and large-scale digital transformation across energy and industrial systems. The conference covers theoretical, numerical, experimental, and applied research in the following areas:
- AI for energy system modelling, forecasting, optimisation and control
- Machine learning and hybrid modelling in heat transfer and thermodynamics
- AI applications in fluid mechanics, computational fluid dynamics (CFD), turbulence and multiphase flows
- Thermal energy storage, heat pumps and low-carbon heating technologies
- Digital twins, sensor networks and real-time monitoring of energy assets
- AI for renewable energy integration, system flexibility and demand-side management
- Industrial energy efficiency, process optimisation and smart manufacturing
- Scientific computing, surrogate modelling and reduced-order modelling
- Energy transition policy, infrastructure and innovation pathways in Europe
- Advance the state of the art in AI-enabled energy and thermofluid engineering
- Promote collaboration between European and international research and industry communities
- Integrate theory, numerical simulation, experimental methods, and real-world deployment
- Support innovation in sustainable energy systems and industrial decarbonisation
- Provide a platform for dissemination, networking, and long-term research collaboration
The symposium is intended for:
- Academic researchers in energy, mechanical, chemical, aerospace, and environmental engineering
- Computer scientists and data scientists working on artificial intelligence and scientific machine learning
- Industrial engineers and technology developers
- Utilities, grid operators, and energy service providers
- Policymakers, innovation agencies, and funding organizations
- Doctoral researchers and early-career professionals
Dr. Yasser Mahmoudi Larimi
The University of Manchester, UK
