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Henrik Eriksson

Head of Department, Professor

Head of the Department of Computer and Information Science

Publications

2022

Armin Spreco, Anna Jöud, Olle Eriksson, Kristian Soltesz, Reidar Källström, Örjan Dahlström, Henrik Eriksson, Joakim Ekberg, Carl-Oscar Jonson, Carl-Johan Fraenkel, Torbjörn Lundh, Philip Gerlee, Fredrik Gustafsson, Toomas Timpka (2022) Nowcasting (Short-Term Forecasting) of COVID-19 Hospitalizations Using Syndromic Healthcare Data, Sweden, 2020 Emerging Infectious Diseases, Vol. 28, p. 564-571 (Article in journal) Continue to DOI

2019

Patricia Marana, Colin Eden, Henrik Eriksson, Clara Grimes, Josune Hernantes, Susan Howick, Leire Labaka, Vasileios Latinos, Rene Lindner, Tim A. Majchrzak, Igor Pyrko, Jaziar Radianti, Amy Rankin, Mihoko Sakurai, Jose M. Sarriegi, Nicolas Serrano (2019) Towards a resilience management guideline - Cities as a starting point for societal resilience Sustainable cities and society, Vol. 48, Article UNSP 101531 (Article in journal) Continue to DOI

2017

M. Strömgren, E. Holm, Örjan Dahlström, Joakim Ekberg, Henrik Eriksson, Armin Spreco, Toomas Timpka (2017) Place-based social contact and mixing: a typology of generic meeting places of relevance for infectious disease transmission Epidemiology and Infection, Vol. 145, p. 2582-2593 (Article in journal) Continue to DOI
Amy Rankin, René Linder, Maider Sainz, Simon Rosenqvist, Magnus Bång, Henrik Eriksson (2017) City Resilience: Analysis of Strategies World-Wide Proceedings of the 7th REA symposium (Conference paper)

2016

Henrik Eriksson, Toomas Timpka, Armin Spreco, Örjan Dahlström, Magnus Strömgren, Einar Holm (2016) Dynamic Multicore Processing for Pandemic Influenza Simulation. AMIA Annual Symposium Proceedings, p. 534-540 (Conference paper)

Research

News

IDA news 

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Machine Psychology – a bridge to general AI

AI that is as intelligent as humans may become possible thanks to psychological learning models, combined with certain types of AI. This is the conclusion of Robert Johansson, who in his dissertation has developed the concept of Machine Psychology.

Innovative idea for more effective cancer treatments rewarded

Lisa Menacher has been awarded the 2024 Christer Gilén Scholarship in statistics and machine learning for her master’s thesis. She utilised machine learning in an effort to make the selection of cancer treatments more effective.

Shaping AI technology for the benefit of society globally

To explore similarities and challenges faced by Europe and Japan in the digital transformation era and to foster cross-border collaboration and knowledge exchange - researchers and industry professionals from Europe and Japan met at LiU.

Divisions at IDA

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Artificial Intelligence and Integrated Computer Systems (AIICS)

The AIICS division is part of the Department of Computer and Information Science. The division's main focus is research and teaching in artificial intelligence, its theoretical foundations and its applications.

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Database and Information Techniques (ADIT)

The division Database and Information Techniques is part of the Department of Computer and Information Science. The division consists of several research groups, each of which has its own research profile.

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Human-Centered Systems (HCS)

The Division for Human-Centered Systems is part of the Department of Computer and Information Science. Research and teaching are conducted in the areas of human-centered computing, cognitive science, and information systems.

Staff at IDA

About the department