luana.micallef (at) aalto.fi
 
http://www.hiit.fi/luana.micallef
 
+358 (0) 50 421 0445
 
@LuanaMicallef
 
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Room A204
Helsinki Institute for Information Technology HIIT
Aalto University, School of Science
Department of Computer Science
Konemiehentie 2, 02150 Espoo, Finland
 
Postal address:
Aalto University, Department of Computer Science
P.O.Box 15400, FI-00076 Aalto, Finland
 
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Getting to HIIT Otaniemi
 

 

Research Interests

General interests: information visualization, visual design and analytics, and human-computer interaction.
 
In particular, diagram design and layout using computational and model-based methods based on principles of human perception and cognition to optimize the visualization for the human user. Also, biological data visualizations and set visualizations.
 

About

I am a postdoctoral researcher at the Helsinki Institute for Information Technology (HIIT) and Aalto University.
 
I am member of the Probabilistic Machine Learning Group led by Prof Samuel Kaski, but contribute also to the User Interfaces Group led by Prof Antti Oulasvirta and Ubiquitous Interaction Group led by Prof Giulio Jacucci.
 
Currently I work with professors Kaski, Oulasvirta and Jacucci on multiple interdisciplinary projects at the intersection of probabilistic machine learning, cognitive science, human-computer interaction, and data visualization, to devise systems that facilitate analysis of large complex datasets, such as the medical data curated by the Institute for Molecular Medicine Finland (FIMM).
 
I am also an Honorary Research Fellow in the School of Computing, University of Kent, UK where I was previously a Research Fellow following the completion of my PhD at the same School. My PhD thesis, titled 'Visualizing Set Relations and Cardinalities Using Venn and Euler Diagrams', was commended as a 2016 CPHC/BCS Academy of Computing Distinguished Dissertations runner-up, awarded at the prestigious BCS Roger Needham Lecture (press). Further details are available on my University of Kent webpage.
 

Full Publication List

Refer to my profiles in   University Portal or   Scholar.
 

Latest Research

 
Luana Micallef, Gregorio Palmas, Antti Oulasvirta, Tino Weinkauf (2017). Towards Perceptual Optimization of the Visual Design of Scatterplots. IEEE Transactions on Visualization and Computer Graphics, 23(6) :
1588-1599.

  Best Paper Honorable Mention Award at IEEE PacificVis 2017

  Project webpage ,   DOI link
PDF (3.9MB), Supplementary Material (22MB)
 
Chen He, Luana Micallef, Zia-Ur-Rehman Tanoli, Samuel Kaski, Tero Aittokallio, Giulio Jacucci (2017). MediSyn: Uncertainty-aware Visualization of Multiple Biomedical Datasets to Support Drug Treatment Selection. BMC Bioinformatics.

 In press
  Preprint,   Video
  MediSyn Online Application (use Google Chrome)
 
Luana Micallef*, Iiris Sundin*, Pekka Marttinen*, Muhammad Ammad-ud-din, Tomi Peltola, Marta Soare, Giulio Jacucci, Samuel Kaski (2017). Interactive Elicitation of Knowledge on Feature Relevance Improves Predictions in Small Data Sets. Proceedings of the 22nd International Conference on Intelligent User Interfaces (IUI 2017). *equal contributions

  DOI link
  PDF + Supplementary Material (2104kb)
 
Khalil Klouche, Tukka Ruotsalo, Luana Micallef, Salvatore Andolina, Giulio Jacucci (2017). Visual Re-Ranking for Multi-Aspect Information Retrieval. Proceedings of the 2017 Conference on Conference Human Information Interaction and Retrieval (CHIIR 2017).

  DOI link
 
Kumaripaba Athukorala, Luana Micallef, Chao An, Aki Reijonen, Jaakko Peltonen, Tuukka Ruotsalo, Giulio Jacucci (2017). Visualizing Activity Traces to Support Collaborative Literature Searching. Proceedings the 10th Symposium on Visual Information Communication and Interaction (VINCI 2017).

 In press
 
Rita Borgo*, Bongshin Lee*, Benjamin Bach*, Sara Fabrikant*,
Radu Jianu*, Andreas Kerren*, Stephen Kobourov*, Fintan McGee*,
Luana Micallef*, Tatiana von Landesberger*, Katrin Ballweg*, Stephan Diehl*, Paolo Simonetto*, Michelle Zhou* (2017). *equal contributions
Crowdsourcing for Information Visualization: Promises and Pitfalls.
In Daniel Archambault, Tobias HoƟfeld, and Helen Purchase (eds), Evaluation in the Crowd: Crowdsourcing and Human-Centred Experiments, LNCS 10264, Springer, ISBN: 978-3-319-66434-7.
To appear in September 2017
 


 
Copyright © 2014-2018, Luana Micallef. All rights reserved.

Last updated: August 3, 2017