Our research

Research at Media and information technology

The Division for Media and Information Technology (MIT) conducts world-leading, human-centered research in core areas including visualization, computer graphics, and interactive AI.

We focus on interdisciplinary development of fundamental methodologies that combine human insight with advanced computing and machine learning techniques to responsibly address complex, real-world data challenges. By collaborating closely with domain experts in life science, physics, and engineering, MIT successfully translates this work into advanced software and enables innovation across industry and public sectors, driving solutions for sustainable development and fair technology application.

Research units

Image collage for applied vizualisation

Applied Visualization

We conduct internal and external production development with the goal of combining research data and visualization technology for improved science communication and use beyond research, with a focus on the public, schools and business.

Computer generated image of a living room

Computer Graphics and Image Processing

The computer graphics and image processing group is driving a number of research projects directed towards the development of theory and methodology for image capture, image analysis and image synthesis.

People watching a big screen

Immersive Visualization

The Immersive Visualization Unit researches and develops various techniques to create an immersive and captivating visualization of data using large-scale display systems, such as immersive domes and stereoscopic vision (3D).

Graphics

Information Visualization

The group focuses on the explorative analysis and visualization of typically large and complex information spaces. We develop novel interactive visualization methods and tools that are able to efficiently support analysts from various domains.

Illustration of Norrköping by Motala ström and people in the environment

Visualization and Interaction Design

We explore new ways for people to interact with data, technology, and digital materials in meaningful ways. Our research draws from a plurality of approaches and disciplines in order to understand and (re)shape our digital lives.

Haptics

Scientific Visualization

We develop novel analysis, visualization and exploration techniques for a better understanding and communication of large data.

People standing around a model of earth

Visual Media Communication

We conduct interdisciplinary research in visual communication, graphic design, science communication, and visual storytelling. Our work explores how visual media can convey complex information and engage with society in a time of change.

Showtime in The Dome, Visualiseringscenter C, city of Norrköping.

C-research

C-research is a center for coordination of visualization research and for using visualization in research and education. It represents Linköping University in the Visualization Center C context.

Research collaborations

Publications

The latest doctoral theses

2026

Farhan Rasheed (2026) Topology-Driven Visual Analysis of Structures in Dynamic Spatial Data

2025

Emilia Ståhlbom (2025) Visualization for genomics data review in clinical contexts: Analyzing large, sparse data with multilevel structures
Derya Akbaba (2025) Shifting Perspectives: Conducting Visualization Research with Entanglement Epistemology
Behnaz Kavoosighafi (2025) Data-driven Reflectance Acquisition and Modeling for Predictive Rendering
Elias Elmquist (2025) Sensibly Sound: Human-Centered Integration of Sonification and Visualization

Our latest publications

2026

Peilin Yu, Aida Nordman, Takanori Fujiwara, Marta Koc-Januchta, Konrad Schönborn, Lonni Besançon, Katerina Vrotsou (2026) Visual Extraction of Interaction Patterns Guided by Hierarchical Clustering and Process Mining IEEE Transactions on Visualization and Computer Graphics, Vol. 32, p. 1142-1152 (Article in journal) Continue to DOI
Naoki Okami, Kazuki Miyake, Naohisa Sakamoto, Jorji Nonaka, Takanori Fujiwara (2026) Visual Analytics using Tensor Unified Linear Comparative Analysis IEEE Transactions on Visualization and Computer Graphics, Vol. 32, p. 79-89 (Article in journal) Continue to DOI
Haihan Lin, Maxim Lisnic, Derya Akbaba, Miriah Meyer, Alexander Lex (2026) Heres what you need to know about my data: Exploring Expert Knowledges Role in Data Analysis IEEE Transactions on Visualization and Computer Graphics, Vol. 32, p. 1186-1196 (Article in journal) Continue to DOI
Myeongwon Jung, Takanori Fujiwara, Jaemin Jo (2026) GhostUMAP2: Measuring and Analyzing (r,d)-Stability of UMAP IEEE Transactions on Visualization and Computer Graphics, Vol. 32, p. 353-362 (Article in journal) Continue to DOI
Ali Cheaitou, Anwar Hamdan, Fakhariya Ibrahim, Sadeque Hamdan, Jonas Lundberg, Imad Alsyouf, Magnus Bång, Karljohan Lundin Palmerius, Amir Shikhli, Billy Josefsson, Zain El Abideen Tahboub, Erik Junholm, Jimmy Johansson Westberg (2026) Optimizing and visualizing dynamic service performance for airspace users to enable safe and efficient urban air mobility in Dubai Annals of Operations Research (Article in journal) Continue to DOI
Farhan Rasheed (2026) Topology-Driven Visual Analysis of Structures in Dynamic Spatial Data
Konstantina Vouzouneraki, Erik Ylipää, Tommy Olsson, Katarina Berinder, Charlotte Hoybye, Maria Petersson, Sophie Bensing, Anna-Karin Akerman, Henrik Borg, Bertil Ekman, Jonas Robért, Britt Eden Engstrom, Oskar Ragnarsson, Pia Burman, Per Dahlqvist (2026) Detection of Acromegaly From Facial Images Using Machine Learning: A Comparison With Clinical Experts Journal of the Endocrine Society, Vol. 10, Article bvaf203 (Article in journal) Continue to DOI
Gunnar E. Höst, Marta M. Koć-Januchta, Mina Mani, Måns Gezelius, Jonas Löwgren, Lena Tibell, Konrad J. Schönborn (2026) Pupils' engagement with and evaluation of an interactive visualization of the carbon cycle Discover Education, Vol. 5, Article 27 (Article in journal) Continue to DOI

Organisation