Nicolas Diaz Ferreyra, Dr. Ing.

Current Research

I am a postdoctoral fellow at the University of Duisburg-Essen working on areas of privacy and cybersecurity. My main research focus is human-computer interaction with special attention to privacy decision-making processes in social network sites. Particularly, I am interested in digital nudging applications to cybersecurity, their personalization through Artificial Intelligence (AI), and ethical issues arising from combining persuasion together with AI. Since, August 2018, I am a member of the H2020 project “PDP4E: Methods and Tools for GDPR Compliance through Privacy and Data Protection Engineering” and since January 2020 the coordinator of the RTG “User-Centered Social Media”.
My research interests and areas of expertise are among others:

• Human-computer Interaction
• Software Engineering
• Artificial Intelligence
• Machine Learning
• Privacy and Cybersecurity
• Internet governance
• Public policy development

CV

since 11/15	Research Fellow at the Department Department of Computer Science and Applied Cognitive Sciences (UDE)
12/13 - 10/15	M.Sc. Information Systems and Engineering Thema: Model for the definition and management of software platforms for manufacturing companies
12/06 - 11/13	High school Studies, Escuela a Industrial Superior - Universidad Nacional del Litoral, Argentina Specialization: Building Technician

 

Projects

• RTG "User-Centred Social Media" - https://www.ucsm.info/
• H2020 project "PDP4E: Methods and Tools for GDPR Compliance through Privacy and Data Protection Engineering" - https://www.pdp4e-project.eu/

Bachelor / Master Theses

Until March 2021, I do not have any capacities to supervise a thesis. However, you are welcome to apply in advance for one of the following topics or to propose one of your own from one of my research areas.

Topic	Requirements	Bachelor / Master
Methods and technologies for supporting privacy decisions in online social networks. Game theory applications to privacy decision-making problems. Design principles for privacy and security nudges. Access-control prediction under information diffusion processes.	Programming skills Algorithmic complexity Community-detection algorithms Applied statistics Fundamentals of Artificial Intelligence	Depending on the scope
Simulation-based frameworks for assessing COVID-19 countermeasures: Community detection algorithms and the role of homophily.	Programming skills Algorithmic complexity Community-detection algorithms Applied statistics Fundamentals of Artificial Intelligence	Depending on the scope
Ethics of Artificial Intelligence (AI): Normative frameworks and legal provisions for persuasive AI technologies.	Programming skills Algorithmic complexity Community-detection algorithms Applied statistics Fundamentals of Artificial Intelligence	Depending on the scope