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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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MAStaff
Muhammad Adil Abid - Doctoral student
muhammad.adil-abid@mau.se -
Staff
David Aleklett Kadish - Lecturer
david.kadish@mau.se -
Staff
Fahed Alkhabbas - Senior lecturer
fahed.alkhabbas@mau.se -
Staff
Alberto Enrique Alvarez Uribe - Associate senior lecturer
alberto.alvarez@mau.se -
SBStaff
Sally Bagheri - Doctoral student
sally.bagheri@mau.se -
Staff
Michael Belfrage - Doctoral student
michael.belfrage@mau.se -
Staff
Patrik Berander - Program director/Senior lecturer
patrik.berander@mau.se -
Staff
Ben Blamey - Senior lecturer
ben.blamey@mau.se -
Staff
Olha Boiko - Senior lecturer
olha.boiko@mau.se -
Staff
Anna Brötzner - Doctoral student
anna.brotzner@mau.se -
Staff
Sara Caramaschi - Doctoral student
sara.caramaschi@mau.se -
Staff
Steve Dahlskog - Senior lecturer
steve.dahlskog@mau.se -
PDStaff
Paul Davidsson - Professor
paul.davidsson@mau.se -
Staff
Jeanette Eriksson - Assistant head of dep./Program director/Senior lecturer
jeanette.eriksson@mau.se -
Staff
Jose Maria Font Fernandez - Senior lecturer
jose.font@mau.se -
Staff
Mareike Glöss - Senior lecturer
mareike.gloss@mau.se -
Staff
Jess Haynie-Lavelle - Doctoral student
jess.haynie-lavelle@mau.se -
Staff
Johan Holmberg - Doctoral student
johan.holmberg@mau.se -
Staff
Lars Holmberg - Lecturer
lars.holmberg@mau.se -
Staff
Johan Holmgren - Associate Professor/Senior lecturer
johan.holmgren@mau.se -
Staff
Andreas Jacobsson - Associate Professor /Associate Professor/Pro-vice-chancellor
andreas.jacobsson@mau.se -
Staff
Mahtab Jamali - Doctoral student
mahtab.jamali@mau.se -
ÅJStaff
Åse Jevinger - Senior lecturer/Vice Dean/Associate Professor
ase.jevinger@mau.se -
Staff
Ola Johansson - Senior lecturer
ola.johansson@mau.se -
Staff
Emil Johansson - Doctoral student
emil.johansson@mau.se -
Staff
Reza Khoshkangini - Senior lecturer
reza.khoshkangini@mau.se -
Staff
Gion Koch Svedberg - Senior lecturer
gion.kochsvedberg@mau.se -
Staff
Jesper Larsson - Senior lecturer
jesper.larsson@mau.se -
Staff
Fabian Lorig - Associate senior lecturer
fabian.lorig@mau.se -
Staff
Reza Malekian - Professor
reza.malekian@mau.se -
Staff
Shairyar Malik
shairyar.malik@mau.se -
Staff
Benjamin Maus - Doctoral student
benjamin.maus@mau.se -
RMStaff
Radu-Casian Mihailescu - Associate Professor/Senior lecturer
radu.c.mihailescu@mau.se -
Staff
Hussan Munir - Senior lecturer
hussan.munir@mau.se -
Staff
Bengt J. Nilsson - Professor
bengt.nilsson.ts@mau.se -
Staff
Mikaela O'bryan - Doctoral student
mikaela.obryan@mau.se -
Staff
Carl Magnus Olsson - Associate Professor
carl.magnus.olsson@mau.se -
Staff
Hamza Ouhaichi - Doctoral student
hamza.ouhaichi@mau.se -
MPStaff
Mia Persson - Associate Professor/Senior lecturer
mia.persson@mau.se -
JPStaff
Jan Persson - Senior lecturer
jan.a.persson@mau.se -
NRStaff
Nancy Russo - Senior lecturer
nancy.russo@mau.se -
Staff
Hajira Saleem - Doctoral student
hajira.saleem@mau.se -
Staff
Dario Salvi - Associate Professor/Senior lecturer
dario.salvi@mau.se -
Staff
Arezoo Sarkheyli-Hägele - Program director/Senior lecturer
arezoo.sarkheyli-haegele@mau.se -
Staff
Ali Soleimani
ali.soleimani@mau.se -
Staff
Romina Spalazzese - Senior lecturer/Associate Professor
romina.spalazzese@mau.se -
Staff
Dipak Surie - Senior lecturer
dipak.surie@mau.se -
Staff
Bahtijar Vogel - Senior lecturer/Head of unit/Associate Professor
bahtijar.vogel@mau.se -
Staff
Gent Ymeri - Doctoral student
gent.ymeri@mau.se
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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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2024 | Article in journal
Agent-based social simulations for health crises response: utilising the everyday digital health perspective
Jason Tucker, Fabian Lorig
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2024 | Article in journal
PRIMϵ: Novel Privacy-preservation Model with Pattern Mining and Genetic Algorithm
Sheema Madhusudhanan, Arun Cyril Jose, Jayakrushna Sahoo, Reza Malekian
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2024 | Article in journal
Activity Recognition through Interactive Machine Learning in a Dynamic Sensor Setting
Agnes Tegen, Paul Davidsson, Jan A. Persson
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2023 | Conference paper
Advancing MLOps from Ad hoc to Kaizen
Meenu Mary John, Daniel Gillblad, Helena Holmström Olsson, Jan Bosch
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2023 | Conference paper
QuaFedAsync: Quality-based Asynchronous Federated Learning for the Embedded Systems
Hongyi Zhang, Jan Bosch, Helena Holmström Olsson
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2023 | Conference paper
Towards an integration management maturity
Sonja M. Hyrynsalmi, Helena Holmström Olsson, Jan Bosch
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2023 | Conference paper
Classification of Complex-Valued Radar Data using Semi-Supervised Learning: a Case Study
Teodor Fredriksson, Jan Bosch, Helena Holmström Olsson
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2023 | Conference paper
Analytics and Data-Driven Methods and Practices in Platform Ecosystems: a systematic literature review
Shady Hegazy, Christoph Elsner, Jan Bosch, Helena Holmström Olsson
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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
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
AI DigIT Hub
paul.davidsson@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