Published multiple peer-reviewed journal papers in venues such as Discover Internet of Things, Scientific Reports, and IEEE Access
2025: 'Quality characteristics in IoT systems: learnings from an industry multi case study', Discover Internet of Things
2024: 'A cognitive deep learning approach for medical image processing', Scientific Reports
2024: 'FedCSD: A Federated Learning Based Approach for Code-Smell Detection', IEEE Access
2022: Co-authored 'A comparison of machine learning algorithms for...' (title incomplete in source)
Research Experience
2022–2023: IoT Solution Architect at CGI, Malmö, Sweden – Led development of a smart office solution using Azure Cloud, ambient sensors, Raspberry Pi gateways, Java, Spring Boot, and REST services
2021–2022: Consultant (Part-time) at Hadicare AB, Malmö, Sweden – Elicited requirements and performed acceptance testing for akonamatata.se marketplace
2015–2016: Technical Program Manager at Freightos, Ramallah, Palestine – Managed teams developing a large-scale freight automation platform using Google Cloud Platform, Scrum, and Agile
2014–2016: Information Manager at GVC Italia, Ramallah, Palestine – Led IT and software development, building a data-driven platform with automated KPI calculation using Google Open Data Kit
2013–2014: Team Lead at Tetra Tech DPK, Ramallah, Palestine – Managed a team of six engineers to extend and integrate a large-scale system using service-oriented architecture
2011–2013: Java Developer at UNOPS, Ramallah, Palestine – Developed SOA and ESB-based components for service and business process integration
Background
Swedish-Palestinian computer scientist with over 15 years of experience in both industry and academia
Currently Senior Lecturer and Researcher in Computer Science at Malmö University, Sweden
Senior Researcher at the Sustainable Digitalization Research Center (SDRC)
Co-director of the two-year Master's Programme in Internet of Things at Malmö University
Research focuses on Software Engineering, Artificial Intelligence, and Internet of Things, with particular interest in engineering intelligent, sustainable, context-aware, self-adaptive, and trustworthy systems