Dr. Feras Awaysheh
Associate Professor of Edge Intelligence
Umeå University, Sweden
Advancing Distributed, Collaborative, and Trustworthy Intelligence across the Computing Continuum
Academic Background
Education, qualifications and academic expertise
My academic background combines software engineering, information and network security, big data, and cloud computing. This multidisciplinary foundation shapes my research in distributed artificial intelligence, federated learning, and edge intelligence.
My academic journey began in software engineering, progressed through information and network security, and culminated in doctoral research on large-scale data-intensive and cloud computing systems. It enables me to connect algorithmic advances with the practical requirements of reliable, secure computing infrastructure.
Education and Academic Qualifications
Doctor of Philosophy (PhD) — Big Data and Cloud Computing
My doctoral studies established the foundation for my research in large-scale distributed computing, data-intensive systems, cloud computing, and intelligent resource management.
Master of Science (MSc) — Information, Computer and Network Security
My master’s studies developed advanced knowledge of computer and network security, secure information systems, and the protection of networked computing environments.
Bachelor of Science (BSc) — Software Engineering
My undergraduate education provided a strong foundation in software design, programming, system architecture, software development methodologies, and computing fundamentals.
Areas of Academic Expertise
- Artificial Intelligence and Machine Learning — federated learning, distributed AI, collaborative learning, and intelligent systems.
- Distributed and Cloud Computing — cloud architectures, resource management, distributed systems, and edge–cloud computing.
- Big Data and Data Engineering — large-scale data processing, distributed analytics, and data-intensive systems.
- Information and Network Security — privacy-preserving computing, secure distributed systems, and trustworthy AI.
- Software and Systems Engineering — software architecture, cloud-native systems, performance evaluation, and system optimization.
This interdisciplinary foundation allows me to approach research challenges from both algorithmic and systems perspectives, connecting advances in artificial intelligence with real-world computing environments.
Professional Experience
Academic appointments, leadership, teaching and scientific service
My professional experience spans academic appointments, research leadership, university teaching, postgraduate supervision, scientific publishing, and international collaboration. I have worked with institutions and research communities across Europe and Australia, contributing to multidisciplinary initiatives involving academia and industry.
Academic Appointments
Associate Professor of Edge Intelligence
Department of Computing Science. My current appointment focuses on distributed artificial intelligence, federated learning, edge intelligence, and intelligent computing systems.
- Research in collaborative AI, edge intelligence, and trustworthy computing.
- Development of international collaborative projects and research proposals.
- Supervision of MSc and PhD researchers.
- Teaching and coordination in Computer Networks and Cloud Computing.
- Scientific publishing, academic service, and international partnerships.
Assistant Professor / Lecturer
At the University of Tartu, I contributed to research, teaching, postgraduate supervision, and academic leadership. I led the Edge Intelligence and Data Analytics (EiDA) research group.
- Leadership of EiDA and development of its research directions.
- Research in edge intelligence, big data management, federated learning, and distributed systems.
- Teaching in Data Engineering, Big Data Management, and Edge Intelligence.
- Postgraduate supervision and international research collaboration.
Visiting Fellow
Visiting academic affiliation supporting international research exchange and collaboration in computing.
Adjunct Lecturer
Adjunct academic affiliation supporting international academic engagement and teaching-related activities.