Natural and Artificial Cognition
Lund University profile area Natural and Artificial Cognition explores intelligences cognition and intelligences, cognition and behaviour of living entities, robots and software in order to get insights into how intelligent systems work.
Core researchers and their relation to the profile area
Sonja Aits, Cell Death, Lysosomes and Artificial Intelligence
AI/ML methods in Medical and Biological Research, AI/ML for structural biology, neutron and x-ray science, Educational tools for learning about AI, AI in health care and pharma. AI Lund Coordination group.
Christian Balkenius, Cognitive Sciences
Neurosciences, Zoology, Robotics, cognitive development, cognitive robotics, learning. Director of the WASP HS Graduate School. AI Lund Coordination group.
Ines Bramao, Psychology
Cognitive and neural processes underlying episodic memory. Behavioural and cognitive testing in combination with advanced analysis methods.
Ingar Brinck, Theoretical Philosophy
Interdisciplinary reseach at the intersection of philosophy, psychology and cognitive science: social robotics, and concerns foundational issues within cognition and communication from a philosophical, developmental, and evolutionary perspective..Head, CogComlab.
Hanna Bäck, Political Science
Political behaviour and political psychology, focusing mainly on explaining protest activity, radicalisation and affective polarisation. NAC Steering group.
Angela Cenci Nilsson, Basal Ganglia Pathophysiology
Molecular, cellular, and circuit dysfunctions in the cortico-basal ganglia network in Parkinson´s disease.
Marie Dacke, Functional zoology
Methods for measuring the visual performance of organisms as insects, fish, spiders and humans for quantitatively measure the behavioural responses to visual stimuli, and then infer the underlying neural mechanisms that are responsible.
Melvyn B Davies, Mathematics
Scientific and Technical Computing, Dynamical evolution of N-body systems, Probability of planetary systems possessing habitable worlds. Assistant coordinator LU profile area Natural and Artificial Cognition.
Anamaria Dutceac Segesten, Strategic Communication
AI as a method in social science research, computational social science, NLP, social network analysis, AI and politics.
Marianne Gullberg, Linguistics
Adult second language and bilingual acquisition and processing, and also gesture production and comprehension in acquisition. Director LU Humanities Lab. Deputy coordinator, LU profile area: Natural and Artificial Cognition.
Agneta Gulz, Mathias Osvath
Stanley Heinze, Functional zoology
How insect brains construct representations of the external world that enable these animals to successfully orient in their environment.
Annette Hill, Media and Communication
Audiences and popular culture, with interests in media engagement, everyday life, genres, production studies and cultures of viewing.
Karin Johansson, Malmö Academy of Music)
Musical learning, creativity, improvisation, cGhoral singing. Vice dean, Malmö Faculty of Fine and Performing Arts.
Maria Kihl, Electrical and Information Technology
Mission-critical networked systems, Industry 4.0, Control over the Cloud, and Compute architectures for 5G and beyond.
Volker Krueger, Computer Science
Robotics, computer vision,,machine intelligence and image processing.
Dan-E Nilsson, Functional zoology
Eye evolution and various approaches to reveal what different animals are able to see in their natural habitats.
Mathias Osvath, Cognitive Science
Evolution of cognition, and in particular independently evolved similar cognition which leads to an understanding of cognitive principles.
Per Petersson, Integrative Neurophysiology
The neuronal control of different behaviours. Complex and adaptive aspects of motor behaviour, such as learning, selection and sequencing of motor acts.
Anders Rantzer, Automatic Control
Modeling, analysis and synthesis of control systems, with particular attention to uncertainty, optimisation and distributed control.
Per Runeson, Computer Science
Empirical research on software development and management methods, in particular for verification and validation and for open source software and data, as well as digitalisation in a broad sense.
Sverker Sikström, Psychology
Quantitative measures mental states with language analysed by AI. Computational modeling of memory. Noise improves cognitive performance in ADHD. Choice blindness.
Marcus Stensmyr, Funktionell zoologi
How the olfactory system (sense of smell) adapts to the habitat and needs of the animal.
Fredrik Tufvesson, Communications Engineering
Channel modelling, measurements and characterisation for wireless communication, with applications in various areas such as massive MIMO, UWB, mm wave communication, distributed antenna systems, radio based positioning and vehicular communication.
Annika Wallin, Cognitive Science
How everyday higher level cognition such as problem solving and decision making, should be understood, both from a theoretical and a descriptive perspective.
Eric Warrant, Functional zoology
How nocturnal and deep-sea animals manage to see well in very dim light.
Susanne Åkesson, Evolutionary ecology
Movement ecology of birds and other animals, and especially the phenotypic characteristics of endogenous migration programs and how animals have adapted to cope with long migrations.
Karl-Erik Årzén, Automatic Control
Dynamic feedback-based resource management for different types of computer systems, including both embedded systems and cloud infrastructures.
Karl Åström, Mathematics
Stochastic analysis of low level vision, computer vision for autonomous guided vehicles, geometry and algebra of multiple views of points, curves and surfaces, structure from motion using images, sound, radio and other sensors, cognitive vision, handwriting-recognition and medical image analysis. Coordinator LU profile area Natural and Artificial Cognition and AI Lund,
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