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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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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
Multiplication of 0-1 Matrices via Clustering
Jesper Jansson, Mirosław Kowaluk, Andrzej Lingas, Mia Persson
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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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2025 | Article in journal
GraphTrace: A Graph-Guided Hotspot Detection Method for CCTV Placement
Martin Boldt, Kenneth Lewenhagen, Anton Borg, Karl Kronkvist, Manne Gerell
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2025 | Article in journal
Secure SDN-IOT Framework with Adaptive Gbell PRF-MAC and Convolutional GRU for IDS
Sri Harsha Grandhi, Dinesh Kumar Reddy Basani, Raj Kumar Gudivaka, Basava Ramanjaneyulu Gudivaka, Rajya Lakshmi Gudivaka, Kayode Sakariyah Adewole
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2025 | Conference paper
Leveraging LLMs for Dynamic IoT Systems Generation Through Mixed-Initiative Interaction
Bassam Adnan, Sathvika Miryala, Aneesh Sambu, Karthik Vaidhyanathan, Martina De Sanctis, Romina Spalazzese
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2025 | Conference paper
The Transparency Imperative: The Need for Model Documentation for Engaging with Public Policy following the EU AI Act
Michael Belfrage, Fabian Lorig, Christopher Frantz, Jason Tucker, Paul Davidsson
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2025 | Conference paper
Advanced Stock Market Prediction Using Unsupervised Federated Learning Techniques
Mohsen Tajgardan, Atena Shiranzaei, Mahtab Jamali, Reza Khoshkangini, Mahdi Rabbani
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Research project
Human-robot collaborative learning for ultralight electric utility vehicles
paul.davidsson@mau.se -
Research project
Multistakeholder perspectives and experience of trust in digital health and AI
michael.strange@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
Decent & dignified digital work from the margins. Anticipations from the Global South & invisible platform workers
jakob.svensson@mau.se -
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
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