Niklas Elmqvist

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Niklas Elmqvist
Born
EducationChalmers University of Technology
Scientific career
FieldsHuman–computer interaction, information visualization
InstitutionsUniversity of Maryland, College Park
Purdue University
Academic advisorsPhilippas Tsigas
Websitesites.umiacs.umd.edu/elm/

Niklas Elmqvist is a Swedish/American computer scientist. He currently is a Professor at the College of Information Studies,[1] an affiliate professor in the Computer Science Department, and an affiliate member of UMIACS, all at the University of Maryland, College Park. Elmqvist is the current director of the University of Maryland Human–Computer Interaction Lab.[2] Niklas Elmqvist was at Purdue University from 2008 to 2014[3] and part of the U.S. DHS Center of Excellence (COE) in Visual Analytics (VACCINE).[4]

In 2013, he received an NSF Career Award. In 2018 he was named a Distinguished Scientist by the Association for Computing Machinery (ACM),[5] and in 2020 he was included in the AMiner list of "Most Influential Scholars in Visualization".[6]

Education[]

Niklas Elmqvist completed his Doctor of Philosophy in computer science in 2006 at Chalmers University of Technology.[7]

Research[]

Niklas Elmqvist is known for his work on human–computer interaction and Information visualization.

Niklas Elmqvist’s contributions are diverse and focused on innovative interaction and open infrastructures. Early contributions focused on multivariate data visualization,[8] GraphDice or Data meadows. In his 2009 paper "Hierarchical Aggregation for Information Visualization"[9] he proposed a model for building, visualizing, and interacting with multiscale representations, guiding other researchers toward scalable techniques.

Niklas Elmqvist has developed new architectures that enable novel combinations of multiple devices (such as smartwatches and large displays) and thought-provoking new devices such as the first olfactory visualization display. He has championed the design of open and standardized infrastructures that support meshing those devices into a coherent whole, with a series of prototypes such as Munin, PolyChrome, and more recently the promising Vistrates for Ubiquitous Analytics,[10] that supports easily building cross-device and distributed visualization applications.

His research exemplifies fluid interaction in a diverse set of visualization topics, from graphs and time series to animation and games, and more recently sonification in order to improve the accessibility of visualizations for users with visual impairments.[11]

Elmqvist was paper co-chair of the IEEE Computer Society Information Visualization (Infovis) conference in 2016,[12] 2017[13] and 2020.[14] He was an associate editor of IEEE Transactions on Visualization and Computer Graphics[7] until 2020, being awarded the TVCG Best Associate Editor Award in 2016.[15]

Books[]

  • Designing the User Interface Pearson by Shneiderman, B., Plaisant, C., Cohen, M., Jacobs, S., Elmqvist, N., Diakopoulos, N. - 6th Edition (2016) ISBN 978-0-32153735-5.

References[]

  1. ^ [1] Niklas Elmqvist | Maryland's iSchool - College of Information Studies
  2. ^ "HCIL - Overview". hcil.umd.edu. Retrieved 31 May 2021.
  3. ^ [2] Elmqvist Webpage at Purdue University (Retrieved May 31, 2021
  4. ^ "VACCINE - Purdue University". Retrieved 31 May 2021.
  5. ^ [3] 2018 ACM Distinguished Scientists (Retrieved May 31, 2021)
  6. ^ [4] 2020 AI 2000 Most Influential Scholars Visualization list
  7. ^ Jump up to: a b [5] Niklas Elmqvist CV
  8. ^ [6] Rolling the Dice: Multidimensional Visual Exploration Using Scatterplot Matrix Navigation, IEEE Transactions on Visualization and Computer Graphics, Volume: 14, Issue: 6, Nov.-Dec. 2008 (Retrieved May 31, 2021)
  9. ^ [7] Hierarchical Aggregation for Information Visualization, IEEE Transactions on Visualization and Computer Graphics, Volume: 16, Issue: 3, May–June 2010 (Retrieved May 31, 2021)
  10. ^ [8] Vistrates for Ubiquitous Analytics (Project webpage) (Retrieved May 31, 2021)
  11. ^ [9] Visualizing for the Non-Visual: Enabling the Visually Impaired to Use Visualization
  12. ^ [10] Paper Call for Participation of Infovis 2016 (Retrieved May 31, 2021)
  13. ^ [11] Paper Call for Participation of Infovis 2017 (Retrieved May 31, 2021)
  14. ^ [12] Paper Types of Infovis 2020 (Retrieved June 1st, 2021)
  15. ^ [13] TVCG Editor Note Dec 2017 (Retrieved May 31, 2021)

External links[]

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