Special Session 11 HIGH-PERFORMANCE AI-DRIVEN MODELLING AND SIMULATIONS FOR ADVANCED MULTIDISCIPLINARY ENGINEERING BASED ON INTUITIVE SCIENTIFIC VISUALIZATION (SS11)
Bridging the Gap: How Can Engineering Meet Real-World Applications?
Engineering is evolving rapidly, driven by the need for precision, efficiency, and scalability. AI-driven modelling and simulations, combined with high-performance scientific visualization, empower engineers to design, analyse, and optimize complex systems faster and with greater accuracy. SS11 explores how cutting-edge optimization techniques, real-time simulations, and intuitive visualization tools drive decision-making, automation, and engineering advancements across industries.
Model-Based Design and Digital Twins: A Structured Approach to Engineering Innovation
Model-Based Design (MBD) and Digital Twin technologies work together to provide structured, iterative approaches to modelling, simulating, and validating engineering systems. While MBD enables engineers to systematically develop, test, and refine designs before physical prototyping, Digital Twins extend this by creating real-time, data-driven virtual counterparts that evolve alongside their physical assets. The integration of both methods enhances system reliability, predictive analysis, and operational efficiency across aerospace, energy, and biomedical engineering.
Optimization: The Core Engineering Task in Large-Scale Simulations
Engineering is the science of optimization—identifying the best possible solution among countless simulations. In today's complex design environments, finding the optimal balance between performance, cost, sustainability, and manufacturability requires advanced computational techniques. As simulations increase in scale and complexity, human intuition alone is insufficient—leading to a growing reliance on AI-driven optimization techniques, including:
- Machine learning-assisted parameter tuning
- Automated design exploration
- Multi-objective optimization algorithms
These techniques enable engineers to navigate vast simulation datasets, extract meaningful insights, and refine designs faster. The integration of artificial intelligence (AI), extended reality (XR), high-performance computing (HPC), and blockchain accelerates these processes across aerospace, energy, manufacturing, smart cities, and biomedical applications, including patient-specific heart implant certification simulations.
Critical Engineering Decision-Making Through Scientific Visualization
As engineering systems become more complex and data-intensive, effective decision-making is essential. Scientific visualization enables engineers to transform vast datasets into actionable insights, facilitating real-time analysis, alternative scenario exploration, and predictive validation. By integrating high-performance visual analytics, immersive technologies, and AI-driven data interpretation, engineers can collaborate efficiently, reduce uncertainty, and optimize critical decisions.
SS11 highlights how advanced visualization techniques are reshaping engineering workflows, accelerating innovation, and improving high-stakes decision-making in mission-critical applications.
SS11 demonstrates how AI-driven simulations, optimization, and the integration of Model-Based Design with Digital Twin technologies—enhanced by scientific visualization—transform raw data into high-quality, sustainable engineering solutions. These advancements drive efficiency, sustainability, and quality of life while empowering engineers to address critical challenges, reduce environmental impact, and shape the future of responsible, mission-driven technological progress.
TOPICS
- Model-Based Design (MBD) and Digital Twins for Structured Engineering Development
- Multidisciplinary AI-Driven Modelling, Simulations, and Optimization
- High-Performance and Intuitive Scientific Visualization
- Computational Models, Human-Computer Interaction, and Visual Analytics
- Digital Twin Applications and Smart Engineering Systems
- Multiphysics Machine Learning and Simulations for Engineering and Biomedical Applications
- AI-Driven Optimization and Automated Design Exploration
- Biomedical Engineering Applications: Patient-Specific Heart Implant Certification
- Big Data Processing, HPC, and Quantum-Assisted Simulations for Engineering
- Immersive Technologies (AR, VR, XR) and Interactive Engineering Prototyping
- AI Vision, Edge Computing, and Sensor Networks for Autonomous Systems
- Blockchain and Cybersecurity for Secure Engineering and Scientific Data Integrity
- Critical Engineering Decision-Making Through Scientific Visualization
PUBLICATION
BOOK: Selected contributions will be chosen for a Monograph on
‘ADVANCES IN VISUALIZATION AND OPTIMIZATION TECHNIQUES FOR MULTIDISCIPLINARY RESEARCH’ by Springer.
ORGANISER(S)
Prof. Dean Vučinić VICORE SA, Brussels, Belgium
Vrije Universiteit Brussel, Belgium
University of Osijek, Croatia
University of Pula, Croatia
dean@vicore.eu
https://www.linkedin.com/in/prof-dr-ir-dean-vučinić-0bb7b75/
OPENING TALK:
‘MAAT-NEXT: Zero-Emission Stratospheric Airships for Sustainable Transport and UAV-based Services’
Abstract (PDF)
INVITED SPEAKER(S)
‘AI Chatbots Usage for Human-Computer Interaction, Exploration and Analysis of Blockchain Data’ Dr. Ivica Lukić
Josip Juraj Strossmayer University of Osijek,
Croatia
Short Bio (PDF)
Abstract (PDF)