ITM Department, Illinois Institute of Technology, USA

Symposium Chair: Dr. Marwan Omar, Associate Professor in Illinois Institute of Technology

The "Soft Computing Strategies for Enhancing Cybersecurity" symposium is an innovative educational experience designed to meld the fields of soft computing and cybersecurity, offering participants a unique opportunity to explore how adaptive and heuristic computing methodologies can fortify cybersecurity measures. Throughout this symposium, attendees will delve into the core principles of soft computing—including neural networks, fuzzy logic, genetic algorithms, and machine learning—and discover their application in detecting, analyzing, and mitigating cyber threats.

This symposium is structured to provide a comprehensive learning journey, combining theoretical knowledge with practical, hands-on experiences. Experts in the field will guide participants through the nuances of applying soft computing techniques to real-world cybersecurity challenges, emphasizing the development of adaptive solutions that can evolve in response to the dynamic landscape of cyber threats.

Designed for a diverse audience, from IT professionals to cybersecurity enthusiasts and researchers, the symposium aims to enhance participants' skills in integrating soft computing approaches into cybersecurity strategies. By the end of the symposium, attendees will be equipped with advanced knowledge and practical skills, positioning them to contribute to the resilience and intelligence of cybersecurity infrastructures in various organizational contexts.

Research group on economics at University of Murcia

Symposium Chair: Dr. Javier Cifuentes-Faura, Researcher in University of Murcia

The symposium "Mathematics and Big Data for Sustainability: Challenges, Opportunities and Future Directions" brought together several students from the University of Murcia and served to learn and to identify the importance of the mathematics to achieve sustainability. Big data has been discussed as an essential tool in many fields. The use of big data makes it possible to collect, store and analyse large amounts of data to find patterns and generate estimators to make judgements about a target in real time, improving its performance and delivering benefits. In recent years, resource depletion, environmental degradation and climate change have become increasingly pressing issues for society. Governmental organisations and a wide range of organisations have consequently come together to safeguard the environment and build a more sustainable global community. With the rise of big data, the goal is to achieve sustainable development by using data analysis to predict future events, prevent environmental catastrophes or reduce environmental degradation. Knowledge on the application of big data and mathematics to sustainability through an indicator-based approach has been reviewed and discussed.