Fahed Alkhabbas
Scholar

Fahed Alkhabbas

Google Scholar ID: 6iLf1_IAAAAJ
Senior Lecturer and Researcher of Intelligent Systems at Malmö University
Internet of ThingsArtificial IntelligenceSoftware Engineering
Citations & Impact
All-time
Citations
500
 
H-index
12
 
i10-index
13
 
Publications
20
 
Co-authors
11
list available
Resume (English only)
Academic Achievements
  • 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