Special Sessionss

1) Title: 4th International Workshop on "MOdelling, SImulation and DAta Analysis in Engineering and Physics Applications" (MOSIDA 2024)

Organizers-Chairmen: Claudio Guarnaccia (UNISA), Domenico Rossi (UNISA)

Aim: The interest towards modelling and simulation in Engineering and Physics problems, as well as data analysis, is increasing a lot in the last years, thanks to the new technologies for big data treatment and computation. The workshop aims at sharing the latest research and results about modelling, simulation and data analysis in various applications, in the field of Engineering and Physics, fostering an interdisciplinary approach. In the last edition we had 19 presentations and were able to arrange 2 successful sessions. We hope to repeat this great experience thanks to your participation and support.

- Modeling and simulation in Physical problems;
- Modelling and simulation in Engineering problems;
- Online and offline data analysis in various applications;
- Exploratory data analysis and data mining;
- Models implementation, calibration and testing;
- Residuals and error analysis;
- Other topics related to the aims of the session.

2) Title: Measuring the algorithmic component of Functional User Requirements.

Organizer-Chairman: Roberto Meli (DPO Srl)

Aim: Functional User Requirements (FUR), as defined by ISO 14143 standard, are composed by data movement requirements (data flows), data storage requirements (persistent storage) and data manipulation requirements (processing logic). At the moment, no standardized Functional Size Measurement Method (FSMM) is capable to capture in numbers the algorithmic component of the FURs. There are two dimensions of processing logic that are needed to be measured: the algorithms “extension” (length, number of steps…) and complexity (structure and relations among parts). These two attributes may be measured automatically with a certain precision when the software has been built. But a way of assessing the processing logic size at the requirements level would really be of great value for the management of the production processes. Any measurement approach should be integrated with the data movement and data storage measurement in order to be effective. Research ideas, experiments, approaches are welcome.

- Algorithm’s classification
- Algorithm’s sizing
- Empirical approaches
- Extension size
- Complexity size
- Integration / combination of measures

3) Title: Fractal Spacetime and Vibration in a Fractal Space

Organizer-Chairman: Ji-HUan He, Soochow University, China, Email: hejihuan@suda.edu.cn

Aim: Any vibrations happen in a medium, for an example, a string in air, an earthquake beneath the Earth. The previous study was always assumed the medium was a continuum, so we can not study, for example, the effect of molecule size or molecule distribution of air on the vibration properties of a spring. To overcome this shortcoming, we should consider the medium as a fractal space, and the vibration problem can be modelled as either a fractional vibration or an oscillator with fractal derivatives. The fractal modification can explain many phenomena which can never be done by the traditional differential models, by suitable control of the value of the fractional order, the vibration properties can be artificially controlled.
This symposium aims to report on state of the art analytical techniques for nonlinear vibrations with fractional derivatives or fractal derivatives for practical applications. The collection will specifically focus on the phenomena of nonlinear vibration in a porous medium and its main vibration properties.

- Mathematical models for vibration in a porous medium, e.g., the packing system.
- Fractal packing system with zero loading velocity.
- Fractal calculus/fractional calculus for a nonlinear vibration problem in a porous medium or on a non-smooth surface.
- Fractal variational principle for a nonlinear vibration problem with fractal derivatives.
- Optimal control of system governed by nonlinear vibration equations with fractal or fractional derivatives
- Advanced musical instruments considering fractal boundary of the concert hall and air density and temperature.
- Fractal isolation theory and aseismic design of buildings or bridges.
- Fractal coastal protection for periodic waves
- Low frequency vibration in life.
- Vibration problems arising in nano/micro devices.

4) Title: International Workshop on Nanobubble Generation and Chemical Physics

Organizer-Chairman: Amr Abdel-Fattah (Saudi Aramco), Niall J. English (UCD & AquaB), Email: amr.abdelfattah@aramco.com, niall.english@gmail.com

Aim: One of the key properties of nanobubbles is their longevity and long-term stability- while larger bubbles rise to the atmosphere very quickly, nanobubbles have potential lifetimes of hours to months. This unique characteristic makes them important to and capable of transforming a variety of environmental, medical, and industrial processes.
This workshop considers new and innovative methods for generation of nanobubbles of different gasses, as well as rigorous exploration, elucidation and characterisation of their underlying microscopic fundamentals – in terms of molecular and condensed-matter physics, key chemistry and, of course, their time-dependent biological and statistical behaviour. A keen eye towards exploiting and manipulating their formation with a view to end-goal engineering applications will also be explored, in addition to important industrial and environmental applications.

- Methods of generation and characterization of nanobubbles in different solutions
- Stability, mobility, structure, dynamics, electrostatics, and electrokinetics of nanobubbles and effect of surrounding environment’s conditions
- Statistical properties of nanobubble populations – including lifetimes and coalescence
- Chemical properties, such as reactive species and catalysis of chemical reactions
- Nanobubbles in biological systems and their effects on behavior
- Acoustic perturbation and characterization of nanobubbles
- Modeling and simulation of nanobubble dynamics
- Existing and emerging applications of nanobubbles

5) Title: Bringing AI Intelligence to high-performance computing

Organizer-Chairman: Kalana Mendis is a Senior Lecturer at the Department of Information Technology, Advanced Technological Institute, Dehiwala, Sri Lanka, Email: kalanaatil@mail.com

Aim: Accelerated computing is helping researchers accomplish their scientific breakthroughs faster. But researchers are quickly realizing that AI can help them produce high-accuracy results that are on par with scientific simulations in a much shorter time frame. This has fueled the adoption of AI in high-performance computing (HPC). AI is increasingly being infused into HPC applications with new technologies and methodologies increasing the pace and scale of AI analysis for fast discovery and insights. With these innovations, data scientists and researchers can rely on AI to process more data, create more-realistic simulations, and make more accurate predictions, often in less time.

- Financial analysis like risk and fraud detection, manufacturing, and logistics.
- Astrophysics and astronomy.
- Climate Science and meteorology.
- Earth Sciences.
- Computer-aided design (CAD), computational fluid dynamics (CFD), and computer-aided engineering (CAE).

Who Uses HPC and AI?
• Researchers
Researchers are enhancing their HPC simulations with AI to achieve faster and better results for various scientific workloads.

• Engineers
Engineers are using AI to evaluate a variety of designs, including medical devices, manufacturing robots, and automotive components.

• Analysts
Analysts at financial organizations are leveraging AI to identify and predict market trends, flag fraudulent transactions, and speed up online payments.