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Annika Tillander

Associate Professor

Publications

2024

Katarina Balter, Abby C. King, Johanna Fritz, Annika Tillander, Oskar Halling Ullberg (2024) Sustainable Lifestyle Among Office Workers (the SOFIA Study): Protocol for a Cluster Randomized Controlled Trial JMIR Research Protocols, Vol. 13, Article e57777 (Article in journal) Continue to DOI

2023

Oskar Halling Ullberg, Susanna Toivanen, Annika Tillander, Katarina Balter (2023) Workplace health promotion to facilitate physical activity among office workers in Sweden Frontiers in Public Health, Vol. 11, Article 1175977 (Article in journal) Continue to DOI
Takayuki Yamada, Tetsuto Himeno, Annika Tillander, Tatjana Pavlenko (2023) Test for Mean Matrix in GMANOVA Model Under Heteroscedasticity and Non-Normality for High-Dimensional Data THEORY OF PROBABILITY AND MATHEMATICAL STATISTICS, Vol. 109, p. 129-158 (Article in journal) Continue to DOI
Carina Soderlund, Luis Alfonso de la Fuente Suarez, Annika Tillander, Susanna Toivanen, Katarina Balter (2023) The outdoor office: a pilot study of environmental qualities, experiences of office workers, and work-related well-being Frontiers in Psychology, Vol. 14, Article 1214338 (Article in journal) Continue to DOI

2022

Benti Geleta Buli, Annika Tillander, Terence Fell, Katarina Balter (2022) Active Commuting and Healthy Behavior among Adolescents in Neighborhoods with Varying Socioeconomic Status: The NESLA Study International Journal of Environmental Research and Public Health, Vol. 19, Article 3784 (Article in journal) Continue to DOI

About the division

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The Division of Statistics and Machine Learning (STIMA)

The STIMA division is part of the Department of Computer and Information Science. The research and teaching activities are focused on modern data analysis and the division hosts the international master's programme in Statistics and Machine Learning.

Colleagues at STIMA

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Amirhossein Ahmadian
PhD student
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Johan Alenlöv
Lecturer
Martin Andrae
PhD student
Photo of Sourabh Balgi
Sourabh Balgi
Photo of Krzysztof Bartoszek
Krzysztof Bartoszek
Senior Associate Professor
Photo of Jonas Bjermo
Jonas Bjermo
Postdoc
Photo of Bayu Brahmantio
Bayu Brahmantio
PhD student
Photo of Gabriel Ducrocq
Gabriel Ducrocq
Postdoc
Photo of Filip Ekström Kelvinius
Filip Ekström Kelvinius
PhD student
Photo of Hariprasath Govindarajan
Hariprasath Govindarajan
Anders Grimvall
Photo of Ann-Charlotte Hallberg
Ann-Charlotte Hallberg
Lecturer
Photo of Isak Hietala
Isak Hietala
Lecturer
Woodrow Hao Chi Kiang
PhD student
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Erik Larsson
PhD student
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Fredrik Lindsten
Senior Associate Professor, Head of Division
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Sebastian Mair
Assistant Professor
Samuel Matthiesen
Postdoc
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Lisa Menacher
PhD student
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Frank Miller
Professor, Head of Unit
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Shashi Nagarajan
Anders Nordgaard
Adjunct Associate Professor, Docent
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Louis Ohl
Postdoc
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Amanda Olmin
PhD student
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Joel Oskarsson
PhD student
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Jose M Pena
Senior Associate Professor, Head of Unit
Photo of Jolanta Pielaszkiewicz
Jolanta Pielaszkiewicz
Associate Professor
Dong Qian
Postdoc
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Oleg Sysoev
Senior Associate Professor
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Bertil Wegmann
Associate Professor
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Josef Wilzén
Lecturer
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Linda Wänström
Associate Professor, Docent
Photo of Zheng Zhao
Zheng Zhao
Assistant Professor

About the department

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Department of Computer and Information Science (IDA)

The Department of Computer and Information Science is one of the largest departments in northern Europe in its field. Research activity covers artificial intelligence, human-computer interaction, software and computer systems, and data science.

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