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Civi-Lab – the Future of Visual Interactive and Creative Experiences

Research group Civi Lab – The Creativity, Interactivity and Visualization Computation Lab, studies emerging interactive and visualization technologies at the intersection of data visualisation, media technology, interactive data analytics, eXtended Reality (XR), visual decision support, creative computing, and UX.

Modern visualization technologies developed rapidly and latest emerging technologies changed how we re-create new realities in which we communicate, train, analyse, simulate and understand digital and real worlds today. Through our background in visualisation technologies we are capable to advance the current state to develop novel solutions to create new human-centered visual interactive experiences. 

Objectives

The group aims at research across disciplines, and close collaboration with industry and society to cope with emerging challenges that emerge through digital transformation through visual computing. We aim to be a creative space for exploring the future of visual interactive experiences. Our extensive international network, and research partnerships we are able to cope with latest trends and challenges.

We offer

We develop methods, technologies, simulators, user studies, and applications across industries such as digital games, healthcare, GLAM, production industries, mining, digital twins, and aviation.

Civi Lab 4Industry

  • Prototyping
  • Proof-of-concepts
  • Research projects
  • Events
  • Future employees

Civi Lab for students 

  • Courses
  • Thesis works
  • Projects
  • Internships
  • Industry traineeships

Civi Lab for researchers 

  • Research collaboration
  • Research exchange
  • Conferences
  • Networks
  • Publications

Research areas

  • Visual (data) analytics
  • Visual data analysis
  • Visual decision models and tools
  • eXtended Reality (XR)
  • Interactive data visualisation
  • Human-AI-teaming
  • Creative computing
  • Visual decision support tools
  • eXtended Reality (XR)
  • Interactive data visualisation
  • Human-AI-teaming
  • Creative data processing
  • Immersive technology
  • Game and interaction design
  • Visualisation techniques
  • Interaction design and customer experience (CX)

Application Areas

  • Visualization in bioinformatics
  • Digital computer games
  • XR in healthcare and medicine
  • Interactive data analysis
  • Digital twinning
  • Simulation and education
  • Human-machine interaction (AI)
  • Education and simulation
  • Unmanned Aerial Vehicle (UAV) imaging

Head of research

Overview

Participating departments and units at Umeå University

Department of Computing Science

News from the Department of Computing Science

Ali Rahmanian
Faster real-time video analysis with new methods

Ali Rahmanian shows how to improve the performance of systems that handle real-time video data.

Hanna Devinnney
Hannah's Research on Biased AI

Hanna Devinney defends their thesis on biased AI on 18 April 2024.

Kary Främling, professor vid institutionen för datavetenskap, sitter vid skrivbord med en dator och en skärm på väggen
The mysterious "black box" of AI has been opened by Umeå professor

Professor Kary Främling can explain results, actions or recommendations made by the majority of AI systems.

Upcoming events

#frAIday: The role of WARA Media & Language in AI
Today
26
Apr
#frAIday: The role of WARA Media & Language in AI
Time Today 12:15 - 13:00 Today 12:15 - 13:00
Place MIT.A.216 / Zoom

Lecture. What's the role of WARA Media and Language in advancing AI?

Ali Rahmanian, Computing Science
Mon
29
Apr
Ali Rahmanian, Computing Science
Time 13:00 - 17:00 29 April 13:00 - 17:00
Place Hörsal UB.A.240 - Lindellhallen 4.

Defence of doctoral thesis. Edge Orchestration for Latency-Sensitive Applications.

May

#frAIday: Prediction models and AI in prostate cancer treatment
Fri
3
May
#frAIday: Prediction models and AI in prostate cancer treatment
Time 12:15 - 13:00 3 May 12:15 - 13:00
Place Betula / Zoom

Lecture. Prediction models and artificial intelligence for improving prostate cancer diagnostics and treatment

#frAIday: Making friends with AI
Fri
17
May
#frAIday: Making friends with AI
Time 12:15 - 13:00 17 May 12:15 - 13:00
Place Zoom / MIT.A.216

Lecture. A socio-ecological approach to understanding how we might relate to AI

#frAIday: Adaptive learners in the age of AI
Fri
24
May
#frAIday: Adaptive learners in the age of AI
Time 12:15 - 13:00 24 May 12:15 - 13:00
Place Zoom

Lecture. Leveraging SRL Theory with AI Capabilities to Support Future Learners

Nazanin Fouladgar, Computing Science
Fri
24
May
Nazanin Fouladgar, Computing Science
Time 13:15 - 17:15 24 May 13:15 - 17:15
Place MIT.A.121.

Defence of doctoral thesis. Affect Detection with Explainable AI for Time Series.

Panel discussion: The stories we tell (and are told) about AI
Fri
24
May
Panel discussion: The stories we tell (and are told) about AI
Time 14:15 - 15:45 24 May 14:15 - 15:45
Place HumLab

Other. Experts will discuss with the audience the nature, roles, and risks of the stories we tell, and are told, about AI.

Latest update: 2022-03-03