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- Research
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On the page
Computer Science
Computer Science is the analysis and development of concepts, methods and tools aimed at making the development and use of digital systems easy, reliable and efficient.
Computer Science is a broad discipline that covers a range of topics from theoretical studies of algorithms to the practical issues of implementing computational systems in hardware and software.
The main topic studied at Malmö University is different aspects of Artificial Intelligence (AI), which aims at implementing goal-oriented processes, such as decision-making, adaptation, planning and learning, which are normally found in humans and animals. In particular, we are focussing on Machine Learning (ML), Multi-Agent Systems (MAS), Autonomic Computing (AC), Procedural Content Generation (PCG), and Human-Centred AI. Related to AI, we are also investigating issues like the trustworthiness of systems and user experience.
Other research topics include the study of algorithms in two areas, Recommender Systems (RS) and Computational Geometry. Moreover, research Information Security, in particular with respect to privacy issues, and Systems Engineering, for example, with respect to edge computing and interaction technology. Finally, we are conducting research in modelling, optimization, and simulation for decision support.
Often we study these research topics in different application areas, such as the Internet of Things, sensor networks, building management, computational games, e-commerce, e-health, energy systems, smart homes, smart cities, supply chain management, technology-enhanced learning, public health, and transportation.
Researchers, publications and projects
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2026 | Conference paper
Always Evolving: A Systematic Review on Challenges and Needs to Scale RL & FL on Industrial Embedded Systems
Emil Johansson, Jan Bosch, Helena Holmström Olsson
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2026 | Article in journal
m-Watchmen's routes in minbar and generalized minbar polygons
Rahmat Ghasemi, Alireza Bagheri, Anna Brötzner, Fatemeh Keshavarz-Kohjerdi, Faezeh Farivar, Bengt J. Nilsson, Christiane Schmidt
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2025 | Article, review/survey
A Systematic Literature Review of Privacy Related to Sensing in Smart Buildings
Kayode Sakariyah Adewole, Jan A. Persson, Andreas Jacobsson, Erdal Akin, Azad Shokrollahi, Reza Malekian, Héctor Caltenco, Marcus Valtonen Örnhag
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2025 | Conference paper
A Personalized and Explainable Federated Learning Approach for Recommendation Systems
Sadi Alawadi, Feras Awaysheh, Thambugala Athukoralalage Jayani Sandunka Athukorala, Saket Gande, Fahed Alkhabbas
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2025 | Conference paper
Combination of Agent-Based Social Simulation Models: Approaches and Challenges
Emil Johansson, Fabian Lorig, Paul Davidsson
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2025 | Conference paper
Towards a Sustainable Workflow Scheduling Framework in Edge-Cloud Infrastructures
Fahed Alkhabbas, Sadi Alawadi, Hussam N. Fakhouri, Feras M. Awaysheh, Majed Ayyad, Muhammad Al-Abdullah
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2025 | Conference paper
AI in Educational Digital Escape Rooms: State of the Art and Perspectives
Jakub Swacha, Karolina Muszyńska, José María Font Fernández, Selay Arkün Kocadere, Ricardo Queirós, Robertas Damaševičius, Rytis Maskeliūnas
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2025 | Conference paper
An Optimized Multi-Objective Task Scheduling Approach for IoT Systems in the Edge-Cloud Continuum
Hussam Fakhouri, Fahed Alkhabbas, Sadi Alawadi, Feras M. Awaysheh, Majed Ayyad
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2025 | Conference paper
Understanding Security and Privacy Practices Around Internet of Things Devices
Adelina Andersen, Asreen Rostami, Mareike Glöss, Donald McMillan
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2025 | Article in journal
Faces in rectilinear drawings of complete graphs
Martin Balko, Anna Brötzner, Fabian Klute, Josef Tkadlec
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Research project
Towards A Working Definition of Fairness in Digital & AI Markets
behrang.kianzad@mau.se -
Research project
Scaling Deep and Scaling Up Digital Innovation: Driving Structural C hanges toward Sustainable, C ircular, and Resource-Efficient Built...
ju.liu@mau.se -
Research project
Human-robot collaborative learning for ultralight electric utility vehicles
paul.davidsson@mau.se -
Research project
Agent Based Social Simulation of Organ Donation Policies
fabian.lorig@mau.se -
Research project
Enhancing in vitro fertilization with environmental optimization using artificial intelligence (EIVF-AI)
reza.khoshkangini@mau.se -
Research project
Digital when possible, physical when necessary: An exploration of the digiphysical world of Ängelholm hospital
carljohan.orre@mau.se -
Research project
Future Society and Democracy in Europe
michael.strange@mau.se -
Research project
Developing a Framework for Leveraging Knowledge Graph & Deep Learning in Mobility Transportation
reza.khoshkangini@mau.se -
Research project
Swedish Riksdag 1867–2022: An Ecosystem of Linked Open Data
fredrik.noren@mau.se -
Research project
Climate-Induced Migration in Africa and Beyond: Big Data and Predictive Analytics (CLIMB)
haodong.qi@mau.se -
Research project
DigIT Hub Sweden
paul.davidsson@mau.se -
Research project
Intelligent and Trustworthy IoT Systems
paul.davidsson@mau.se -
Research project | DOCTORAL PROJECT
Autonomous transport and connected vehicles
reza.malekian@mau.se -
Research project
Realizing the Potential of Agent-Based Social Simulation
paul.davidsson@mau.se
Doctoral studies in Computer sciences
Malmö University offers doctoral studies in Computer sciences.
Computer Science is the analysis and development of concepts, methods and tools aimed at making the development and use of digital systems easy, reliable and efficient.
Contact for doctoral studies in Computer science: Reza Malekian