The main purpose of the Visual Analytics Lab is to conduct basic and applied research in topics related to

• Seamless data visibility and analysis and learning from historic data, real-time tracking and response audio-based predictive analytics
• Interactive visualization, voice-based interaction technologies, personalized content access, multimodal interfaces, dynamic dashboards, and remote information sharing adaptive intelligent systems
• Data-driven decision support and big Data analytics to inform better, faster, and more cross-functional decision making.

Alongside, VAlab has been actively researching technologies and applications to provide solutions for the Healthcare sector with emphasis to algorithms, tools and applications for digital health interventions, intelligent medical decision support, promotion of healthy lifestyle behaviors, ageing interventions, early detection of symptoms and interventions to prevent the disease from progressing, etc. 

Also, during the last few years, the lab has been very active in the cybersecurity but also physical security domain.

So, the lab focuses on research to address the security and privacy challenges of distributed assisted living platforms and related health related IoT ecosystems, AI security, 5G security, automotive security, security verification and penetration testing, cryptographic solutions and security by design approaches.

Finally, our research activities include decentralized ledger architectures (blockchain) , privacy-preserving and personalized data analysis among trusted ecosystems, and data sovereignty technologies and distributed digital identities.