
EEITE 2025 – the 6th International Conference in Electronic Engineering and Information Technology will host a specical session on AI-Powered Crime Detection and Prevention: Bridging Technology and Law Enforcement. The proposed workshop aims to convene a diverse community of researchers from academia, industry, government, and LEAs. This interdisciplinary forum will serve as a landscape to:
- Showcase cutting-edge research: Present the latest advancements in the application of Artificial Intelligence (AI), Machine Learning (ML), and analytics for crime and terrorism detection and prevention.
- Foster collaboration: Facilitate the exchange of ideas and best practices among researchers, practitioners, and policymakers.
- Address critical challenges: Explore innovative solutions to address the evolving threats posed by cybercrime and the exploitation of digital technologies for criminal purposes.
- Highlight the role of AI and emerging technologies: Discuss the potential of data analytics, machine learning, and other advanced technologies to enhance LEA capabilities in the fight against crime.
The workshop is supported by three EU-funded projects: AVALANCHE (GA: 101168393), TENSOR (GA: 101073920), PRESERVE (GA: 101168309) and the Research and Innovation Foundation-funded CYGNUS project (GA: DUAL USE/0922/0024).
The key topics of interest are
- Big Data and Internet of Things (IoT) technologies for making detection and investigation easier for police and justice authorities;
- Crime analytics to create safer communities and foster a proactive, technology-driven approach to combat criminal activities; and
- Advances in A and predictive models, behavioural analytics, pattern recognition, biometric identification, and real-time monitoring for uncovering suspicious activities.
Full paper submissions have a deadline of 28 February 2025.
More info – https://eeite.hmu.gr/special-session-10/