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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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2024 | Report
On the importance of AI research beyond disciplines: establishing guidelines
Virginia Dignum, Donal Casey, Frank Dignum, André Holzapfel, Ana Marusic, Yulia Razmetaeva, Jason Tucker
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2024 | Conference paper
Smart Homes as Digital Ecosystems: Exploring Privacy in IoT Contexts
Sally Bagheri, Andreas Jacobsson, Paul Davidsson
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2024 | Article in journal
High-Performance Flow Classification of Big Data Using Hybrid CPU-GPU Clusters of Cloud Environments
Azam Fazel-Najafabadi, Mahdi Abbasi, Hani H. Attar, Ayman Amer, Amir Taherkordi, Azad Shokrollahi, Mohammad R. Khosravi, Ahmed A. Solyman
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2024 | Conference paper
The k -Transmitter Watchman Route Problem is NP-Hard Even in Histograms and Star-Shaped Polygons
Brötzner Anna, Bengt J. Nilsson, Christiane Schmidt
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2024 | Conference paper
Faces in Rectilinear Drawings of Complete Graphs
Martin Balko, Brötzner Anna, Fabian Klute, Josef Tkadlec
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2024 | Conference paper
The Complexity of the Lower Envelope of Collections of Various Geometric Shapes
Carlos Alegría, Brötzner Anna, Bengt J. Nilsson, Christiane Schmidt, Carlos Seara
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2024 | Conference paper
Flips in Odd Matchings
Oswin Aichholzer, Brötzner Anna, Daniel Perz, Patrick Schnider
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2024 | Article in journal
Bicolored Order Types
Oswin Aichholzer, Brötzner Anna
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2024 | Article in journal
A Comprehensive Survey: Evaluating the Efficiency of Artificial Intelligence and Machine Learning Techniques on Cyber Security Solutions
Merve Ozkan-Okay, Erdal Akin, Omer Aslan, Selahattin Kosunalp, Teodor Iliev, Ivaylo Stoyanov, Ivan Beloev
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2024 | Article in journal
A trustworthy and reliable multi-keyword search in blockchain-assisted cloud-edge storage
Xingchen Liu, Shaohui Zhang, Haiping Huang, Reza Malekian
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Research project
Customized travel support for travelers with special needs
johan.holmberg@mau.se -
Research project
Future Society and Democracy in Europe
michael.strange@mau.se -
Research project
Artificial Intelligence as an issue for Global Political Economy – actors, structures, constraints, and possibilities
michael.strange@mau.se -
Research project
Evacuation Assistance System
arezoo.sarkheyli-haegele@mau.se -
Research project
Multi-objective optimization and optimal integration of hybrid energy systems
reza.malekian@mau.se -
Research project
Swedish Riksdag 1867–2022: An Ecosystem of Linked Open Data
fredrik.noren@mau.se -
Research project
Facilitators and barriers to the use of agent-based social simulation in organ donation
fabian.lorig@mau.se -
Research project
Models of distributed information processing in smart grid systems
reza.malekian@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
Intelligent Management of Hybrid Energy Systems
reza.malekian@mau.se -
Research project
AI Enhanced Mobility
paul.davidsson@mau.se -
Research project
Fair Data!
sara.leckner@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
Research environments
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