WASP at MIT

The WASP-LiU-MIT research environment is located at the division of Media and Information Technology on Campus Norrköping. Our work draws on 20 years of research, focusing on visualization and interaction in the context of AI, autonomous systems and software.

We address topics like machine learning and human-automation collaboration in experimental and design-oriented research projects; our research aims to illuminate how people and partially autonomous technology can work together and co-exist in productive and appropriate ways.

Location and facilities

The MIT division is the research arm of the Visualization Center C. C also comprises a public science center focusing on visualization for science communication, including a 4k fulldome theater with 100 seats for immersive visualization experiences. Many of the public exhibits originate in research projects at the MIT division, primarily in the units of Scientific visualization, Immersive visualization, Information visualization, and Visual learning and communication.

Moreover, we have developed a Decision Arena in the form of a conference room with interactive access to a 360-degree surrounding display, and most recently the Norrköping Design Arena with a computer graphics lab, a large-format 3D scanner and facilities for prototyping and co-design in interaction and visualization.

Contact

WASP program coordinator

Research

Efficient data representation for visual machine learning

Image synthesis and efficient data representations for visual machine learning

Driven by the high accuracy and performance of deep learning algorithms in computer vision tasks, we are investigating the use and production of highly realistic training data-sets for computer vision applications.

Visualization for understanding and developing machine learning

Machine learning is deployed in a wide range of application domains. As with most large-scale data driven approaches it is hard to analyze and understand what is the underlying learned model, how accurate is it, and exactly how it is solved.

Orchestrating machine learning development in complex medical imaging environments

Even though machine learning algorithms have shown promising results in many medical image analysis tasks there are still a lot of challenges that need to be solved before these advances can be used in clinical practice.

Tool for training a machine learning system to classify tissues.

Interaction with autonomous agents for medical decision support

The aim of the research is to explore the interaction between humans and computers by the design of contexts that create efficient ensembles of medical practitioners and learning machines.

visual methods to guide and focus the user’s attention

Focal/peripheral data visualization for industrial control rooms

The amount of operation and maintenance data delivered to the industrial control room operator grows manifold. In the scope of a PhD project, we are working with the problem of information overload.

Automatic pattern tracking and visualization for decision support

Monitoring autonomous systems plays a key role in understanding the systems’ functionality and in ensuring their safety. Without appropriate data reduction and visual support this is hardly possible.

Related research

WASP - Wallenberg AI, Autonomous Systems and Software Program

The fourth industrial revolution is upon us, as automation becomes autonomy. LiU conducts outstanding research in several of the fields that are central to the Wallenberg AI Autonomous Systems and Software Program, WASP.

Norrköping Decision Arena - a room where visualization supports dialogue

The Arena is an interactive facility consisting of visualization platform. It serves as a support in meetings where complex issues are to be discussed. It is used in research and teaching; and can be hired by actors in the private and public sectors.

Astronauter med Anders Fuglesang besöker Visualiseringscenter

Media and Information Technology (MIT)

At the division of Media and Information Technology we do exciting and well-known research and teaching at undergraduate as well as graduate levels.

Visualiseringscenter C

Consists of five actors: the public arena Visualiseringscenter C, Cnema, RISE C-Studio, Norrköping Science Park, and C-research – research conducted by the division for Media and Information Technology, Linköping University.

Visualiseringscenter

WASP at MIT

Location and facilities

Contact

WASP program coordinator

Jonas Unger

Research

Image synthesis and efficient data representations for visual machine learning

Visualization for understanding and developing machine learning

Orchestrating machine learning development in complex medical imaging environments

Interaction with autonomous agents for medical decision support

Focal/peripheral data visualization for industrial control rooms

Automatic pattern tracking and visualization for decision support

Related research

WASP - Wallenberg AI, Autonomous Systems and Software Program

Norrköping Decision Arena - a room where visualization supports dialogue

Media and Information Technology (MIT)

Visualiseringscenter C

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WASP at MIT

Location and facilities

Contact

WASP program coordinator

Research

Image synthesis and efficient data representations for visual machine learning

Visualization for understanding and developing machine learning

Orchestrating machine learning development in complex medical imaging environments

Interaction with autonomous agents for medical decision support

Focal/peripheral data visualization for industrial control rooms

Automatic pattern tracking and visualization for decision support

Related research

WASP - Wallenberg AI, Autonomous Systems and Software Program

Norrköping Decision Arena - a room where visualization supports dialogue

Media and Information Technology (MIT)

Visualiseringscenter C

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