Niklas Elmqvist

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Niklas Elmqvist
Born
EducationChalmers University of Technology
Scientific career
FieldsHuman–computer interaction, Data and information visualization, Visual analytics
InstitutionsAarhus University
University of Maryland, College Park
Purdue University
Academic advisorsPhilippas Tsigas
Websitewww.cs.au.dk/~elm/

Niklas Elmqvist is a Swedish-American computer scientist. He is currently a professor in the Department of Computer Science[1] at Aarhus University, and a Villium Investigator.[2] He is the Director of the Center for Anytime Anywhere Analytics[3] at Aarhus University, a research center on augmented reality and extended reality (AR/XR) for data visualization.

Previously, he was a professor in the College of Information Studies,[4] an affiliate professor in the Computer Science Department, and an affiliate member of UMIACS (University of Maryland Institute for Advanced Computer Studies), all at the University of Maryland, College Park. Elmqvist served as director of the University of Maryland Human–Computer Interaction Lab from 2016-2021.[5] Prior to joining UMD, he was a faculty member in the School of Electrical and Computer Engineering at Purdue University from 2008 to 2014.

In 2013, he received a U.S. National Science Foundation CAREER Award. In 2018 he was named a Distinguished Scientist by the Association for Computing Machinery (ACM).[6] In April 2023, he was named a Villum Investigator by the Villum Foundation in Denmark.[7] In November 2023, he was named as an IEEE Fellow by the Institute of Electrical and Electronics Engineers.

Education[edit]

Niklas Elmqvist completed his Doctor of Philosophy in computer science in 2006 at Chalmers University of Technology.[8]

Research[edit]

Niklas Elmqvist is known for his work on human–computer interaction, data and information visualization, and visual analytics.

His contributions are diverse and focused on innovative human-data interaction and open data infrastructures. Early work centered on multivariate data visualization, such as in the GraphDice[9] or DataMeadow[10] systems. In his 2009 paper "Hierarchical Aggregation for Information Visualization"[11] he proposed a model for building, visualizing, and interacting with multiscale representations, guiding other researchers toward more scalable visualization techniques.

Niklas Elmqvist has developed new architectures that enable novel combinations of multiple devices (such as smartwatches and large displays) as well as thought-provoking new devices, such as the first olfactory data 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 framework,[12] 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, sensory substitution mechanisms such as haptic technology and sonification to improve the accessibility of visualizations for users with visual impairments.[13]

Service[edit]

Elmqvist was a papers co-chair of the IEEE Computer Society IEEE Information Visualization (InfoVis) conference in 2016,[14] 2017,[15] and 2020.[16] He was an associate editor of IEEE Transactions on Visualization and Computer Graphics[8] from 2015 until 2020, being awarded the TVCG Best Associate Editor Award in 2016.[17] He is currently on the editorial board for Information Visualization and International Journal of Human-Computer Studies.[18]

Books[edit]

  • 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[edit]

  1. ^ "CS at Aarhus".
  2. ^ "Villium Investigator".
  3. ^ "CA3".
  4. ^ Niklas Elmqvist at UMD's College of Information Studies
  5. ^ "HCIL - Overview". hcil.umd.edu. Retrieved 31 May 2021.
  6. ^ 2018 ACM Distinguished Scientists (Retrieved May 31, 2021).
  7. ^ "They explore the unknown: meet the 2023 Villum Investigators" - Villum Investigators 2023 by the Villum Foundation (retrieved April 20, 2023).
  8. ^ a b Niklas Elmqvist's CV
  9. ^ Niklas Elmqvist, Pierre Dragicevic, Jean-Daniel Fekete. 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)
  10. ^ Niklas Elmqvist, John Stasko, Philippas Tsigas. DataMeadow: A Visual Canvas for Analysis of Large-Scale Multivariate Data. Information Visualization, 7(1):18–33, 2008.
  11. ^ Niklas Elmqvist, Jean-Daniel Fekete. Hierarchical Aggregation for Information Visualization, IEEE Transactions on Visualization and Computer Graphics, Volume: 16, Issue: 3, May–June 2010 (Retrieved May 31, 2021)
  12. ^ Sriram Karthik Badam, Andreas Mathisen, Roman Rädle, Clemens Nylandsted Klokmose, Niklas Elmqvist. Vistrates: A Component Model for Ubiquitous Analytics. IEEE Transactions on Visualization & Computer Graphics, 25(1):586–596, 2019.
  13. ^ Choi, Jinho; Jung, Sanghun; Park, Deok Gun; Choo, Jaegul; Elmqvist, Niklas. Visualizing for the Non-Visual: Enabling the Visually Impaired to Use Visualization. Computer Graphics Forum, 38(3):249–260, 2019.
  14. ^ Paper Call for Participation of Infovis 2016 (Retrieved May 31, 2021)
  15. ^ Paper Call for Participation of Infovis 2017 (Retrieved May 31, 2021)
  16. ^ Paper Types of Infovis 2020 (Retrieved June 1st, 2021)
  17. ^ TVCG Editor's Note, December 2017 (Retrieved May 31, 2021)
  18. ^ International Journal of Human-Computer Studies (journal website) (Retrieved July 15, 2022.)

External links[edit]