As AI and ML technologies together with Intelligent Manufacturing continue to increase their impact on Nanotechnologies, Printed Electronics and Advanced NanoMaterials is expected to grow even further, paving the way for innovative and transformative applications in various fields, including Energy, Batteries, Lighting, Displays, Sensors, Energy Efficient Buildings, Smart Farming, Energy and Hydrogen Storage, Healthcare, IoT, etc.
The Workshop is an opportunity for industry professionals, experts, and researchers to meet together and exchange knowledge on AI and ML based Technology, Engineering and Data Analytics in Industrial Manufacturing. These discussions will be the seed for new ideas, create innovative applications and occupation opportunities. Participants will gain insights into the latest advancements in AI, ML, Intelligent Manufacturing and Automation techniques applied to these disciplines, including the synthesis of advanced materials, device design, laser patterning, precision metrologies and quality control, characterization and testing, multidisciplinary and multiscale modelling and analysis.
Workshop topics include (but not limited to):
- AI-enabled Predictive Analytics for Manufacturing & Maintenance
- Real-time Manufacturing Process Monitoring and Control with AI
- Smart Manufacturing and IoT Integration
- AI-powered Robotics in Manufacturing
- Human-Robot Collaboration in Manufacturing
- AI, Automations and Industry 4.0 and 5.0 in Nano-Manufacturing
- AI-driven Digital Twin Technology for Manufacturing
- AI-driven Energy Management in Manufacturing
- Cybersecurity for AI-enabled Manufacturing Systems
- Natural Language Processing (NLP) for Manufacturing Data Analysis
- AI-driven Product Design and Customization
- AI Ethics and Data Management in Manufacturing
- AI-enabled Property Prediction for Materials
- AI & Machine Learning for Sustainable Materials Design
- High-Throughput Screening using AI
- Challenges and Opportunities in AI-driven Materials Science
- AI-generated Models for Materials Synthesis
- Quantum Machine Learning for Materials Modeling
- Data-driven Approaches to Materials Informatics
- Application of AI techniques in Medicine & Healthcare
Workshop International Organizing Committee (tentative)
S. Logothetidis, Nanotechnology Lab LTFN, AUTh, Greece
A. Afantitis, NovaMechanics Ltd & Entelos Institute, Cyprus
S. Albarqouni, University of Bonn, Germany
Y. Chrysanthou, Department of Computer Science, University of Cyprus, Cyprus
A. Franco, University Amiens Picardie Jules Verne, France
T. Karakasidis, University of Thessaly, Greece
A. Kneer, TinniT Technologies GmbH, Germany
E. Lidorikis, University of Ioannina, Greece
G. Melagraki, Hellenic Military Academy, Greece
M. Polycarpou, Department of Electrical and Computer Engineering, University of Cyprus, Cyprus
H. Sarimveis, National Technical University of Athens, Greece
D. Tzovaras, Centre of Research & Technology - Hellas, Greece
G. Volonakis, University of Rennes 1, France
Organized by:
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HORIZON EUROPE - COPE-Nano: "Centre Of Excellence For Organic, Printed Electronics & Nanotechnologies" www.cope-nano.eu |
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EU HORIZON EUROPE - Flex2Energy: "Automated Manufacturing Production Line for Integrated Printed Organic Photovoltaics" www.flex2energy.eu |
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EU H2020-MUSICODE: "An experimentally-validated multi-scale materials, process and device modelling & design platform enabling non-expert access to open innovation in the Organic and Large Area Electronics Industry" www.musicode.eu |
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EU H2020 - nanoMECommons: "Harmonisation of EU-wide nanomechanics protocols and relevant data exchange procedures, across representative cases; standardisation, interoperability, data workflow (nanoMECommons)" www.nanomecommons.net |