Armend joined the LeADS project in January 2022 as an early-stage researcher at University of Piraeus Research Centre (UPRC), Greece. He has a background in Economics and Informatics with an interest in data mining, natural language processing and privacy. Originally from Albania, he moved in Italy in 2008, where he began his academic journey at University of Bologna. After graduating in Business Administration and Management (2011) with a full scholarship, he completed his studies in Economics and Market Policy (2013) with honour. In 2014, he moved to the industry, working as a Project Manager at Maggioli S.p.A. During the last 7 years he has been involved in multiple R&D projects funded by the European Union under the various programmes (e.g., Horizon 2020, AAL, etc.) through which he has acquired expertise and know-how in a wide range of research areas among which: eHealth, Cybersecurity, Cloud Computing, and many more. He is looking forward to continuing his research with LeADS on empowering citizens about privacy and security.
Project Title: From privacy by design to privacy by using: Data management and analytics considering privacy properties on edge and serverless offerings
Objectives: This project will analyse the tools designed to protect against risks related to the exploitation of personal data and thereby refine the methodology of analysis of such risks, drawing a scheme of implementation of data management and analytics by also considering privacy properties (on top of other functional and non-functional properties) in edge computing and serverless offerings in order to modulate prevention of risks and promotion of innovation. In addition, it will suggest a renewed approach a renewed approach for contractual instruments (Terms and conditions, Privacy charter) in order to balance the asymmetry of information and improve the efficiency for resource management and provision/utilization of edge devices by individuals with specific privacy requirements; create appropriate instruments of information for the user, best practices for data brokers, and promote such instruments at an international level; establish AI-driven processes to increase the user’s ability to define in a more accurate way both his offerings in edge computing environments and the data management and analytics as regards the protection of his privacy; draw the architecture in terms of data governance and analytics linked with the resource resources management on such dynamic environments.
- Armend Duzha, Dimosthenis Kyrizis (2022), “A Novel Approach for Data Processing and Management in Edge Computing (Poster)”, in 18th Conference on Artificial Intelligence Applications and Innovations (AIAI2022). 17-20 June, 2022. Crete, Greece.